Roboflow-TFLite-Object-Detection.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Roboflow-TFLite-Object-Detection.ipynb의 사본","provenance":[{"file_id":"1qXn9q6m5ug7EWJsJov6mHaotHhCUY-wG","timestamp":1615249239161},{"file_id":"1sLqFKVV94wm-lglFq_0kGo2ciM0kecWD","timestamp":1597078999916}],"collapsed_sections":["4Vk2146Ogil3"],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"},"accelerator":"GPU"},"cells":[{"cell_type":"markdown","metadata":{"id":"YYj9AEM839zb"},"source":["# 1. Import"]},{"cell_type":"markdown","metadata":{"id":"6-ZKPeDM4Nzj"},"source":["## Prepare Data\n","\n","\n","To train a TensorFlow2 Object Detection Model, we need TFRecord and label_map files. Roboflow creates these files for us!\n","\n","Because we need one TFRecord file for our training data, and one TFRecord file for our test data, we'll split the dataset into \"train\" and \"test\".\n","\n","To create a dataset in Roboflow and generate TFRecords, follow [this step-by-step guide](https://blog.roboflow.ai/getting-started-with-roboflow/). On export, select \"Tensorflow TFRecord\" for the first link and \"COCO JSON\" as the second link below."]},{"cell_type":"markdown","metadata":{"id":"PkUdQoYS4c4B"},"source":["![](https://i.imgur.com/ZwMdcbY.png)"]},{"cell_type":"code","metadata":{"id":"vCoazIkG4RD6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249412235,"user_tz":-540,"elapsed":2603,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"324f4c35-ae7f-4330-8393-6c2c28f39d7b"},"source":["#Main Training and Test Set\n","\n","#Downloading data from Roboflow\n","#UPDATE THIS LINK - get our data from Roboflow\n","%mkdir /content/train/\n","%cd /content/train/\n","!curl -L \"https://app.roboflow.com/ds/hDs7RvXXYY?key=Da5muyHnfS\" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content/train\n","  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n","                                 Dload  Upload   Total   Spent    Left  Speed\n","100   891  100   891    0     0   1492      0 --:--:-- --:--:-- --:--:--  1492\n","100 19.1M  100 19.1M    0     0  16.6M      0  0:00:01  0:00:01 --:--:-- 73.9M\n","Archive:  roboflow.zip\n"," extracting: README.roboflow.txt     \n","   creating: test/\n"," extracting: test/with-helmet.tfrecord  \n"," extracting: test/with-helmet_label_map.pbtxt  \n","   creating: train/\n"," extracting: train/with-helmet.tfrecord  \n"," extracting: train/with-helmet_label_map.pbtxt  \n","   creating: valid/\n"," extracting: valid/with-helmet.tfrecord  \n"," extracting: valid/with-helmet_label_map.pbtxt  \n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"fpKHmRyoGoYY","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249460634,"user_tz":-540,"elapsed":1954,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"1d84d221-6451-4aa4-e385-b28686ff20e0"},"source":["#Inference Test Set - Optional!\n","\n","#downloading test images from Roboflow\n","#export dataset above with format COCO JSON\n","#or import your test images via other means. \n","%mkdir /content/test/\n","%cd /content/test/\n","\n","#UPDATE THIS LINK - get our data from Roboflow\n","#Or remove line entirely if you don't want to test inference\n","!curl -L \"https://app.roboflow.com/ds/OK3HyYGe4h?key=N7giaYutoJ\" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content/test\n","  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n","                                 Dload  Upload   Total   Spent    Left  Speed\n","100   887  100   887    0     0   1883      0 --:--:-- --:--:-- --:--:--  1879\n","100 19.5M  100 19.5M    0     0  23.0M      0 --:--:-- --:--:-- --:--:-- 23.0M\n","Archive:  roboflow.zip\n"," extracting: README.roboflow.txt     \n","   creating: test/\n"," extracting: test/BikesHelmets100_png.rf.b6242a679739be9d9ad2ba8f9eaebcd7.jpg  \n"," extracting: test/BikesHelmets111_png.rf.32f1e62ecb6fee30165ccce8d948d625.jpg  \n"," extracting: test/BikesHelmets114_png.rf.891689a7e867988bc082446f17f7f5b4.jpg  \n"," extracting: test/BikesHelmets116_png.rf.96af39f9913389611369b70d59506632.jpg  \n"," extracting: test/BikesHelmets118_png.rf.a4bfdabd1e5435e6f137281051ca09f7.jpg  \n"," extracting: test/BikesHelmets13_png.rf.d9a066645007c7341487cc74de423416.jpg  \n"," extracting: test/BikesHelmets179_png.rf.15924dc5b8d1e50705a0f3639ac88910.jpg  \n"," extracting: test/BikesHelmets182_png.rf.efb8da971dfcf1748711f25b49befecb.jpg  \n"," extracting: test/BikesHelmets18_png.rf.8aa10c6da0bf27b9fc0171e0788cfceb.jpg  \n"," extracting: test/BikesHelmets193_png.rf.c12c895d21935a091444f49bd04b7c42.jpg  \n"," extracting: test/BikesHelmets201_png.rf.0a3c829ec986fc2fc1b9c6c821e0441f.jpg  \n"," extracting: test/BikesHelmets205_png.rf.01041b5b54ecb919eb4bae6e7ec48ee1.jpg  \n"," extracting: test/BikesHelmets208_png.rf.31c32113686468abc72d2c6a6fbb1fc3.jpg  \n"," extracting: test/BikesHelmets231_png.rf.bb8e11c92f0142fe6712223b08d8fbd5.jpg  \n"," extracting: test/BikesHelmets235_png.rf.36901aa5382c12a52120d0fffb4ccb19.jpg  \n"," extracting: test/BikesHelmets238_png.rf.640ce258e2b34f684bd79513a5fbbfe3.jpg  \n"," extracting: test/BikesHelmets23_png.rf.88081b751128dcbc6c2c21443d3cb84d.jpg  \n"," extracting: test/BikesHelmets242_png.rf.973b41e3e69f2f4dc9509978e42d59b9.jpg  \n"," extracting: test/BikesHelmets244_png.rf.21e7481a2a8de02b91e27d3132e9632e.jpg  \n"," extracting: test/BikesHelmets254_png.rf.bc79994873ad6c3341928c6d42a703e3.jpg  \n"," extracting: test/BikesHelmets25_png.rf.a8c9e13d3963a9a7b75d17adf0bf17d5.jpg  \n"," extracting: test/BikesHelmets270_png.rf.6d292bc408077d188c95eb889e22ce46.jpg  \n"," extracting: test/BikesHelmets277_png.rf.3b597f3b7cce717ae78b3f17b9695432.jpg  \n"," extracting: test/BikesHelmets325_png.rf.ba2f6b968288029dbfec33b466214c26.jpg  \n"," extracting: test/BikesHelmets326_png.rf.550851b9d41945145c7f0d82cc46faba.jpg  \n"," extracting: test/BikesHelmets340_png.rf.0ff312a486c4da6519923aba51438cbf.jpg  \n"," extracting: test/BikesHelmets365_png.rf.587adc27c6700fd7a07a6ce4a1400399.jpg  \n"," extracting: test/BikesHelmets367_png.rf.092cd9d03d6ec74839442abf86ecef90.jpg  \n"," extracting: test/BikesHelmets371_png.rf.93754f8b6e06d306b724a32e2435cc46.jpg  \n"," extracting: test/BikesHelmets375_png.rf.809449d32fc39ac5e8c5c4b221a195b2.jpg  \n"," extracting: test/BikesHelmets392_png.rf.4cab3decd512a599fe928f6eeb3679a0.jpg  \n"," extracting: test/BikesHelmets403_png.rf.38ef8c1e94c48ace8cf4039db382741e.jpg  \n"," extracting: test/BikesHelmets419_png.rf.21cbc75ba19c2086a48486714136378b.jpg  \n"," extracting: test/BikesHelmets433_png.rf.76ad6ea6dd47e11d8b86e8c388c977d5.jpg  \n"," extracting: test/BikesHelmets465_png.rf.419c901af8174e67c2f706e2ced8f2ba.jpg  \n"," extracting: test/BikesHelmets492_png.rf.19753c88df92f3ca1c9a764a5dfa0584.jpg  \n"," extracting: test/BikesHelmets524_png.rf.28519b57d4a5a1a756406f5b94297228.jpg  \n"," extracting: test/BikesHelmets532_png.rf.8fe28486be79a9f55429bf5459b6a5a4.jpg  \n"," extracting: test/BikesHelmets540_png.rf.c4c8a10b03853fce7a80b4541fba8903.jpg  \n"," extracting: test/BikesHelmets542_png.rf.493fa100cc28ef98d31a067e0b462ce3.jpg  \n"," extracting: test/BikesHelmets572_png.rf.00cedc51789e66be299870ddad9958a4.jpg  \n"," extracting: test/BikesHelmets579_png.rf.d34b8592f0079b5cc8132e47fc798e61.jpg  \n"," extracting: test/BikesHelmets586_png.rf.405cb491df54fee2aea57e8493cb8736.jpg  \n"," extracting: test/BikesHelmets60_png.rf.94bd6cc44abb19291bb053fac4498618.jpg  \n"," extracting: test/BikesHelmets627_png.rf.aa0b8eba9053e914d80f96f56cb19181.jpg  \n"," extracting: test/BikesHelmets645_png.rf.b7c4c0252675b80adf1aab89261c9ecf.jpg  \n"," extracting: test/BikesHelmets646_png.rf.0b7a5713d9b79aa6a913b0363eb1a99c.jpg  \n"," extracting: test/BikesHelmets648_png.rf.0122bf6cb4a133a4da27d4346a89bd99.jpg  \n"," extracting: test/BikesHelmets655_png.rf.df6bd8f7806bb9529a1a8a453107098e.jpg  \n"," extracting: test/BikesHelmets659_png.rf.ce7609da4b7d90bf3729727bb01e41f1.jpg  \n"," extracting: test/BikesHelmets672_png.rf.0b7151d13f35c04e47feedd1d077cf76.jpg  \n"," extracting: test/BikesHelmets673_png.rf.2f6990236e4ce7c6bb16bfc75f076d84.jpg  \n"," extracting: test/BikesHelmets69_png.rf.6c56841547ac640a76f184ecf1be471b.jpg  \n"," extracting: test/BikesHelmets711_png.rf.9c5db80aa88d655864ea149ce75c9584.jpg  \n"," extracting: test/BikesHelmets715_png.rf.5e455c92806723da8db427245cc4cf31.jpg  \n"," extracting: test/BikesHelmets71_png.rf.95bec1f16e4a0f67ea29e8bc36900a4a.jpg  \n"," extracting: test/BikesHelmets720_png.rf.899eab4e8bfa8e46bc828778a769684c.jpg  \n"," extracting: test/BikesHelmets724_png.rf.f3ed575b25fc0c0d336e221aac01f076.jpg  \n"," extracting: test/BikesHelmets749_png.rf.f2e6bc79e3494b8aaeb676271ec9f6f4.jpg  \n"," extracting: test/BikesHelmets758_png.rf.d68c17f2fede5e7d0bcef46e96c418a9.jpg  \n"," extracting: test/BikesHelmets80_png.rf.3574fce29135cc8ee66349e78c8bf06a.jpg  \n"," extracting: test/BikesHelmets83_png.rf.c5be93405a3a3ce97b858409dbe7109a.jpg  \n"," extracting: test/BikesHelmets86_png.rf.3b022a057a4edc388133adacfd1f6422.jpg  \n"," extracting: test/_annotations.coco.json  \n","   creating: train/\n"," extracting: train/BikesHelmets102_png.rf.eb3c23e9d71e70a56fadb0af9a95e94b.jpg  \n"," extracting: train/BikesHelmets103_png.rf.b4c3a3cea95e5f3ea10bc46e9b4ba52e.jpg  \n"," extracting: train/BikesHelmets105_png.rf.586ac0bf6ef31825b6ee6a0609144617.jpg  \n"," extracting: train/BikesHelmets10_png.rf.d90b311ebd8fad522741a8dec743af01.jpg  \n"," extracting: train/BikesHelmets110_png.rf.ef6ec787d2fa3372ec5641b3fe255496.jpg  \n"," extracting: train/BikesHelmets112_png.rf.e9995470835ef325d189f8c6a457cd39.jpg  \n"," extracting: train/BikesHelmets113_png.rf.fcce54ad87db30d59ba431a2705638aa.jpg  \n"," extracting: train/BikesHelmets115_png.rf.6adbdf5c50e91cd4609466056bc3b4c1.jpg  \n"," extracting: train/BikesHelmets117_png.rf.4f54a1c28f9a4481c4b9d1a762c1ce63.jpg  \n"," extracting: train/BikesHelmets119_png.rf.fe04b782f6e3f25e19e9cbcadbc325cc.jpg  \n"," extracting: train/BikesHelmets11_png.rf.ae09cbc0e0125c029af48e20acd791cb.jpg  \n"," extracting: train/BikesHelmets120_png.rf.145f720c5ecf72d555fbe814dddd3166.jpg  \n"," extracting: train/BikesHelmets122_png.rf.c0427f404235efc3fb241a7458efbbe3.jpg  \n"," extracting: train/BikesHelmets123_png.rf.70891760ca74b0504408454245fa719b.jpg  \n"," extracting: train/BikesHelmets125_png.rf.cb6d3b056d6dcc73a5c4c2a4a7fdaca9.jpg  \n"," extracting: train/BikesHelmets126_png.rf.c0cc929abc875180a892e45f32aecd8f.jpg  \n"," extracting: train/BikesHelmets12_png.rf.4287c69c5781268c71f32f8cf5315c08.jpg  \n"," extracting: train/BikesHelmets130_png.rf.f3ed80df1fc058ed5411c97c60ee7d8b.jpg  \n"," extracting: train/BikesHelmets133_png.rf.1e677eb5a3ebd5fadf13c1a7a29bc969.jpg  \n"," extracting: train/BikesHelmets134_png.rf.7d1f2db27889a36ea60fe5c947b3465b.jpg  \n"," extracting: train/BikesHelmets136_png.rf.f684d1ea82c3142dde72f7c0c36cdf1b.jpg  \n"," extracting: train/BikesHelmets138_png.rf.166393b20f8796f22e1b5ade2e8cc886.jpg  \n"," extracting: train/BikesHelmets139_png.rf.c9a4d8b77688055acee6d1224291102f.jpg  \n"," extracting: train/BikesHelmets140_png.rf.e7471498b7e37adfe850a9759cddf280.jpg  \n"," extracting: train/BikesHelmets141_png.rf.a88cdf273f775498b3a0f636b7f38070.jpg  \n"," extracting: train/BikesHelmets142_png.rf.7f176b8d54bbc0f906f3f715843ccbf0.jpg  \n"," extracting: train/BikesHelmets143_png.rf.49ddadbf83153bd0f6d1757b3a402b10.jpg  \n"," extracting: train/BikesHelmets144_png.rf.bbddf06be69e2257db56d3f5384e805a.jpg  \n"," extracting: train/BikesHelmets145_png.rf.d0bcf75e1b399fa3f43ba0c53a8f41a0.jpg  \n"," extracting: train/BikesHelmets146_png.rf.4fcd38f9d31d4a345b9c3bbaae687e42.jpg  \n"," extracting: train/BikesHelmets147_png.rf.bdae84c637a32690b5795c651ba721d4.jpg  \n"," extracting: train/BikesHelmets148_png.rf.0529c58a20343b9f054f17b1a84214b3.jpg  \n"," extracting: train/BikesHelmets149_png.rf.2a4375b0b8fab825f65b938d3d1d4e9c.jpg  \n"," extracting: train/BikesHelmets14_png.rf.5b5dc1591696cc54f5c2f2bd99aad669.jpg  \n"," extracting: train/BikesHelmets151_png.rf.e3b9212b95e37e344fbe1d68b7c53f91.jpg  \n"," extracting: train/BikesHelmets152_png.rf.85fd4a8de6a23dd1d5bae4c2e7c196a2.jpg  \n"," extracting: train/BikesHelmets153_png.rf.5e746560a043f8ace718a42c464327e9.jpg  \n"," extracting: train/BikesHelmets154_png.rf.16eb2d5123b74ff4e3dfa51152ba0338.jpg  \n"," extracting: train/BikesHelmets155_png.rf.54cfcbc43d5bff79002c920d53712a85.jpg  \n"," extracting: train/BikesHelmets156_png.rf.dfbf02af92127d4ed8c6fc99d03a676f.jpg  \n"," extracting: train/BikesHelmets157_png.rf.85b0e8d71581681e8ca9d44cdb7b34fa.jpg  \n"," extracting: train/BikesHelmets160_png.rf.38fb671872b22d5ea9c58aa07c6175b5.jpg  \n"," extracting: train/BikesHelmets161_png.rf.404b6337b1b92c0530a6d4ed8fbc73b0.jpg  \n"," extracting: train/BikesHelmets162_png.rf.838980b6ddca74e0cd60a4b8fd5c3d73.jpg  \n"," extracting: train/BikesHelmets163_png.rf.b22744a0adafdafa340452f9cf5ec0f3.jpg  \n"," extracting: train/BikesHelmets165_png.rf.c57ce4e87f12a4491130bc5a7ef63f29.jpg  \n"," extracting: train/BikesHelmets168_png.rf.62c8174606b69adb91bac892e93f1002.jpg  \n"," extracting: train/BikesHelmets169_png.rf.77123c969fed603e4a1ac286e8d2df5a.jpg  \n"," extracting: train/BikesHelmets16_png.rf.83430936d97376f7beb1740586894671.jpg  \n"," extracting: train/BikesHelmets170_png.rf.fed38601f165b5ea1bd0594fe88be192.jpg  \n"," extracting: train/BikesHelmets171_png.rf.afef890bbb94097775c2267c917c2171.jpg  \n"," extracting: train/BikesHelmets172_png.rf.9f47a591aab24e5467d76391d6c5643d.jpg  \n"," extracting: train/BikesHelmets174_png.rf.abf3f9e477462ee7d9e2502aa7568c85.jpg  \n"," extracting: train/BikesHelmets175_png.rf.68dc58bbeaf865aed0a7dc49ce6ab3c6.jpg  \n"," extracting: train/BikesHelmets176_png.rf.ab1504dbf5d6a1c7f1f328893150c598.jpg  \n"," extracting: train/BikesHelmets178_png.rf.dd04702e32ee406d5373a0e02835bf60.jpg  \n"," extracting: train/BikesHelmets17_png.rf.4ec98dc9f33600931be8c26fd5945b71.jpg  \n"," extracting: train/BikesHelmets180_png.rf.8b316d141a596b7bcbe742a8e0cabd64.jpg  \n"," extracting: train/BikesHelmets181_png.rf.1c25a7f9355f7a5bc966887cfc1b47d4.jpg  \n"," extracting: train/BikesHelmets184_png.rf.9e04b8cb0559b1296edc19f87092b349.jpg  \n"," extracting: train/BikesHelmets186_png.rf.065fa10a27fcd6016afe56c4101d9289.jpg  \n"," extracting: train/BikesHelmets187_png.rf.92148b7ca49fcf4df495883639628da5.jpg  \n"," extracting: train/BikesHelmets190_png.rf.eb11ae348f9b8438a6453c631df8b684.jpg  \n"," extracting: train/BikesHelmets191_png.rf.1c22e5c2d69f4518960487ae22223d7d.jpg  \n"," extracting: train/BikesHelmets192_png.rf.a31953f88e2e01bfd2d5ad12ff41b2d8.jpg  \n"," extracting: train/BikesHelmets194_png.rf.7fed9461e2ac957f92a1843bf14f698b.jpg  \n"," extracting: train/BikesHelmets196_png.rf.86f64b4554f83c8bf79360424224d3ef.jpg  \n"," extracting: train/BikesHelmets197_png.rf.30b0e8e0d185faf6197227f3c7102f55.jpg  \n"," extracting: train/BikesHelmets19_png.rf.31a40533e744c9d6a926e9f51dbd9f5f.jpg  \n"," extracting: train/BikesHelmets1_png.rf.73dd3cbb353b037f9518689abd084e4c.jpg  \n"," extracting: train/BikesHelmets200_png.rf.6ec0b0f1958db000e240205e41024021.jpg  \n"," extracting: train/BikesHelmets202_png.rf.a8a835c99cb0cb05157fbb7aff7e1718.jpg  \n"," extracting: train/BikesHelmets203_png.rf.44412f02566ba1d3e18af6458da2fb2b.jpg  \n"," extracting: train/BikesHelmets204_png.rf.bd5163758c35d336480392e3e95d2e80.jpg  \n"," extracting: train/BikesHelmets206_png.rf.14ef6901f7217e3f244b88471c7ac69c.jpg  \n"," extracting: train/BikesHelmets207_png.rf.bf583b8f75b00159f1d88bf8e3034e96.jpg  \n"," extracting: train/BikesHelmets20_png.rf.ddb5368775192235cf2382f9ba62ae8f.jpg  \n"," extracting: train/BikesHelmets210_png.rf.55c03c3620878741ad18fef9743ee5bb.jpg  \n"," extracting: train/BikesHelmets211_png.rf.fbdcd497828ff31e5d65d560f5826721.jpg  \n"," extracting: train/BikesHelmets213_png.rf.62bcdcfd1627d2ed337b43784e672f11.jpg  \n"," extracting: train/BikesHelmets214_png.rf.1000e15fa6c0aa505beba35167adda3d.jpg  \n"," extracting: train/BikesHelmets215_png.rf.d8dc4f5fcbff95e9d5eb18808cb21f84.jpg  \n"," extracting: train/BikesHelmets216_png.rf.c437cc51d9da0f170d84fa195fe03dd4.jpg  \n"," extracting: train/BikesHelmets218_png.rf.e3cbe647c05a705e46f10162047c6f8c.jpg  \n"," extracting: train/BikesHelmets219_png.rf.8ce32e0bfcb6f6bc64d8907f65439925.jpg  \n"," extracting: train/BikesHelmets21_png.rf.430ff765964adf6a3644a03e58ce0e65.jpg  \n"," extracting: train/BikesHelmets220_png.rf.764cce2809806ab7a276b6b11e07cf08.jpg  \n"," extracting: train/BikesHelmets221_png.rf.6990438276de0e136f075398b818b155.jpg  \n"," extracting: train/BikesHelmets222_png.rf.b7ca9159bc1a0816b7d33a0bcf057fa7.jpg  \n"," extracting: train/BikesHelmets224_png.rf.28b038facd0e3b8317e311ca4d79ac0b.jpg  \n"," extracting: train/BikesHelmets225_png.rf.1ec781960cf287b8975cc560c06b6288.jpg  \n"," extracting: train/BikesHelmets229_png.rf.595d4471793af52c2c191d4b99a69b20.jpg  \n"," extracting: train/BikesHelmets232_png.rf.d5379df7b5ac36946ed4b2156dd76a85.jpg  \n"," extracting: train/BikesHelmets234_png.rf.5c24f3e9b00369fd683b3912f441dc51.jpg  \n"," extracting: train/BikesHelmets239_png.rf.8bca8b8969d217f13cb81971b2f786f7.jpg  \n"," extracting: train/BikesHelmets240_png.rf.ef1edff7092f1571fa0e062773b54fbb.jpg  \n"," extracting: train/BikesHelmets241_png.rf.13d5b7bba44e252355c26b6eab2a97e9.jpg  \n"," extracting: train/BikesHelmets245_png.rf.075d3262547afec05662d227b503ccc6.jpg  \n"," extracting: train/BikesHelmets246_png.rf.37f4a0b019b697214d12cc17236c756c.jpg  \n"," extracting: train/BikesHelmets247_png.rf.b4e1e5be6b3c11b991d76257b124185d.jpg  \n"," extracting: train/BikesHelmets24_png.rf.3b186b0e3d5e1bd00b23b9727499cfba.jpg  \n"," extracting: train/BikesHelmets251_png.rf.09a71daff51b9a72a598ac48cb096bcb.jpg  \n"," extracting: train/BikesHelmets253_png.rf.60ffb0e0e39d32743b8955a5c5885163.jpg  \n"," extracting: train/BikesHelmets255_png.rf.fcf25e31142ac77cc8d245e228a8e1e1.jpg  \n"," extracting: train/BikesHelmets257_png.rf.817f9a89ad91b6e02eb9696033b06908.jpg  \n"," extracting: train/BikesHelmets259_png.rf.21d55c97c03bea812414605f6bbd4d59.jpg  \n"," extracting: train/BikesHelmets261_png.rf.a67e75ded7494ec81668d908b567a279.jpg  \n"," extracting: train/BikesHelmets263_png.rf.01a2d23edff5350077be1b32aa20ba57.jpg  \n"," extracting: train/BikesHelmets264_png.rf.3b00d77ba7014e858ce4218f95d0ef40.jpg  \n"," extracting: train/BikesHelmets269_png.rf.93385ba4391df423d88aa5ed99f8751c.jpg  \n"," extracting: train/BikesHelmets26_png.rf.15320a2799c8ca53ab4277227acfae21.jpg  \n"," extracting: train/BikesHelmets271_png.rf.a6eb8faf38463576a1fad173e8fa13ab.jpg  \n"," extracting: train/BikesHelmets274_png.rf.b17652c8d70239d736545b18fac33815.jpg  \n"," extracting: train/BikesHelmets275_png.rf.e227600f15abf95fe286f47505264072.jpg  \n"," extracting: train/BikesHelmets276_png.rf.a3567fd9f7c5bab60aee6a3240b36b2d.jpg  \n"," extracting: train/BikesHelmets278_png.rf.3d9b0e0ad75a5298a0f7cc328c23db87.jpg  \n"," extracting: train/BikesHelmets279_png.rf.1d8b533ee39658b7b672e840a8d07b81.jpg  \n"," extracting: train/BikesHelmets27_png.rf.d36f9c425be1d43115361dd5144e6288.jpg  \n"," extracting: train/BikesHelmets280_png.rf.453dc413841daf01f77b1f9e712f7565.jpg  \n"," extracting: train/BikesHelmets281_png.rf.67110e81da386b9ff30f81b2fadd679d.jpg  \n"," extracting: train/BikesHelmets283_png.rf.7daf822405b668dd59870370dd6d57f5.jpg  \n"," extracting: train/BikesHelmets284_png.rf.13c1686b7e77cf75b2e08e91a39912c2.jpg  \n"," extracting: train/BikesHelmets288_png.rf.8b6f87f8e11a3de1b94b9eee5945e2dd.jpg  \n"," extracting: train/BikesHelmets289_png.rf.9e2141ff5d4916359ecde96091a04bec.jpg  \n"," extracting: train/BikesHelmets28_png.rf.3d9d6593c2c11efb72047f434e1688f1.jpg  \n"," extracting: train/BikesHelmets290_png.rf.00cb19de3fc1438a2f1bf59e45e6ff4e.jpg  \n"," extracting: train/BikesHelmets291_png.rf.e79b4cbff8a20047f231eaca1a32a7e9.jpg  \n"," extracting: train/BikesHelmets292_png.rf.81f40081a9aca8ba785501c7e39c1fa0.jpg  \n"," extracting: train/BikesHelmets296_png.rf.3d1a6a9d2878ae18978db9f57d590256.jpg  \n"," extracting: train/BikesHelmets297_png.rf.f60d0cb9cf246c139fb770f0adebcc70.jpg  \n"," extracting: train/BikesHelmets299_png.rf.1f3ba4a6299c73af883b14cfc5179b83.jpg  \n"," extracting: train/BikesHelmets300_png.rf.b77859a0bfea37314bf35dd427dae9bf.jpg  \n"," extracting: train/BikesHelmets301_png.rf.b363c020d51a8493125219350b164adc.jpg  \n"," extracting: train/BikesHelmets303_png.rf.23cf9dc975c5a7f9cd9aa0f63ba59693.jpg  \n"," extracting: train/BikesHelmets304_png.rf.cb08779dc7e336c48ab973a9b9c70df5.jpg  \n"," extracting: train/BikesHelmets305_png.rf.3cf5ef5309cf09fd3308d86e4e839095.jpg  \n"," extracting: train/BikesHelmets306_png.rf.36bad5e9a72b0b2177a0833f875e96c5.jpg  \n"," extracting: train/BikesHelmets307_png.rf.ac79c206499cb123eeba57f20c393f8b.jpg  \n"," extracting: train/BikesHelmets309_png.rf.7d3978152dc05df84e4916ca640b7a1e.jpg  \n"," extracting: train/BikesHelmets30_png.rf.19a0e46006c5a30bcf8ee87b4ad690d7.jpg  \n"," extracting: train/BikesHelmets310_png.rf.1bcd176c25a13a6564939d3d671d0a07.jpg  \n"," extracting: train/BikesHelmets311_png.rf.1db83ffe0a94a953a632806a0ef6ce4e.jpg  \n"," extracting: train/BikesHelmets312_png.rf.109f111a2bcdf510a4323f7ad6eafe49.jpg  \n"," extracting: train/BikesHelmets313_png.rf.f664d6ecc4fdd824924d12d86acd9f2f.jpg  \n"," extracting: train/BikesHelmets314_png.rf.07403c5b3f1775a76d794c4a4edd4670.jpg  \n"," extracting: train/BikesHelmets315_png.rf.b08d2171b3d0098c63619092cec1e5c9.jpg  \n"," extracting: train/BikesHelmets316_png.rf.1804021cd1fc5868d17dfd4979ce8145.jpg  \n"," extracting: train/BikesHelmets318_png.rf.c30e7817f665215c15c6737af6579ff4.jpg  \n"," extracting: train/BikesHelmets319_png.rf.d739414f7a119284b82bc21709c5a0ab.jpg  \n"," extracting: train/BikesHelmets31_png.rf.d5a79aed73b3d6115b74c99f8ba5c433.jpg  \n"," extracting: train/BikesHelmets320_png.rf.b8a27ac186e2b339b84fab93241c99c5.jpg  \n"," extracting: train/BikesHelmets322_png.rf.135faa2ce5873b03818df6e863105a69.jpg  \n"," extracting: train/BikesHelmets323_png.rf.0bc5363f9fa6385813d93145a03c3e15.jpg  \n"," extracting: train/BikesHelmets324_png.rf.0c6d4451b2a267159531da5bb24ddf3f.jpg  \n"," extracting: train/BikesHelmets32_png.rf.e959048fb056ed5691d672cc0d77c0a7.jpg  \n"," extracting: train/BikesHelmets330_png.rf.b3c8630d333d71a2551b17a36e561db0.jpg  \n"," extracting: train/BikesHelmets331_png.rf.5f635a3dc1aa97f497c79633aea47e12.jpg  \n"," extracting: train/BikesHelmets334_png.rf.531e6d4d1ec092b8c649b5a2db966608.jpg  \n"," extracting: train/BikesHelmets335_png.rf.204e7596cc2f1c51b743d45fc8676fc3.jpg  \n"," extracting: train/BikesHelmets336_png.rf.24ba40bbe6cec6dd2579d9bdc67a8b31.jpg  \n"," extracting: train/BikesHelmets338_png.rf.8d40d9a51f6f5c17e84501fb32db5464.jpg  \n"," extracting: train/BikesHelmets339_png.rf.ac1174ccd85f56d99fce83c4f861898b.jpg  \n"," extracting: train/BikesHelmets33_png.rf.93f93a3a36d8a3a1b58741393187cc97.jpg  \n"," extracting: train/BikesHelmets341_png.rf.6395b9e86987f9a4f9750c9d57b2e96b.jpg  \n"," extracting: train/BikesHelmets343_png.rf.353e8b88bf2109c3291db6d6b7f1f5a3.jpg  \n"," extracting: train/BikesHelmets344_png.rf.a676319bae2f81be9a3659dae0c076ab.jpg  \n"," extracting: train/BikesHelmets345_png.rf.ccd4438826bd0bc0f32563e26a8cb886.jpg  \n"," extracting: train/BikesHelmets346_png.rf.b5f939f3ee37d7d8119d1be7242d7398.jpg  \n"," extracting: train/BikesHelmets349_png.rf.a66b1da2a2578ebe3b46e98c318a3c72.jpg  \n"," extracting: train/BikesHelmets34_png.rf.6f535f186b1587e2f54484b1fd02c0ec.jpg  \n"," extracting: train/BikesHelmets351_png.rf.18192999a1012d518db06e65e0db837a.jpg  \n"," extracting: train/BikesHelmets353_png.rf.bd864085442517b5809479fddd9dc695.jpg  \n"," extracting: train/BikesHelmets354_png.rf.5ed08dbba109b30c7a169673061af0c8.jpg  \n"," extracting: train/BikesHelmets355_png.rf.702661be2dfda56a56e1be48b7681446.jpg  \n"," extracting: train/BikesHelmets357_png.rf.89ea2ecb37b4c6dc4b3b2ea1db700dab.jpg  \n"," extracting: train/BikesHelmets35_png.rf.37212fe4fdff36540f5362d4e224ffed.jpg  \n"," extracting: train/BikesHelmets362_png.rf.b48ab5265e7939f8fe528a2d21f1ef84.jpg  \n"," extracting: train/BikesHelmets363_png.rf.170e15b573f05b833c1ce954937e8e64.jpg  \n"," extracting: train/BikesHelmets364_png.rf.9b52044e30121d8342ccee784648caac.jpg  \n"," extracting: train/BikesHelmets368_png.rf.9739c7ff4467165ef8d6b64c4c175226.jpg  \n"," extracting: train/BikesHelmets369_png.rf.8ca96b75ddf8b3a4f60ab84ba584f1eb.jpg  \n"," extracting: train/BikesHelmets372_png.rf.9400d71f8eefb54ce8f285ac74cca8d8.jpg  \n"," extracting: train/BikesHelmets374_png.rf.07149fec1a2150baaa3a90034636e957.jpg  \n"," extracting: train/BikesHelmets377_png.rf.ffc55b58410385b0b367d8eff5c17f17.jpg  \n"," extracting: train/BikesHelmets378_png.rf.418d9026dda59a1763ee2f3ab8c1ca36.jpg  \n"," extracting: train/BikesHelmets379_png.rf.ed3ed3a64012d8a536222a6d29e51985.jpg  \n"," extracting: train/BikesHelmets37_png.rf.d8a3009a7463b6a61de6dc8bf127fb76.jpg  \n"," extracting: train/BikesHelmets380_png.rf.dbfc42e9132b1d17972d74e7b9a5b694.jpg  \n"," extracting: train/BikesHelmets381_png.rf.7f68038c6306171581070eed2ab76fb6.jpg  \n"," extracting: train/BikesHelmets382_png.rf.227e8da5292c57aa1ce8863986a2e0c8.jpg  \n"," extracting: train/BikesHelmets383_png.rf.2800abf69d4ec70c4de86285459cdd04.jpg  \n"," extracting: train/BikesHelmets384_png.rf.ff90e82b8e0442dff32878e0c9576724.jpg  \n"," extracting: train/BikesHelmets385_png.rf.2df1c7013807ecaa97748d4b6965468d.jpg  \n"," extracting: train/BikesHelmets386_png.rf.e67dd1e44a3174aa9c3e3250ce06250e.jpg  \n"," extracting: train/BikesHelmets387_png.rf.6df78068a27dc0e9930badd07adf8b1b.jpg  \n"," extracting: train/BikesHelmets388_png.rf.e55768a5392ac4702276d6083ac07b29.jpg  \n"," extracting: train/BikesHelmets389_png.rf.489799f611a4ee01f0f80830b4cf9ea3.jpg  \n"," extracting: train/BikesHelmets390_png.rf.736285f2e90357be4125b97e162aad56.jpg  \n"," extracting: train/BikesHelmets393_png.rf.2b16207fa684b42d9e5824bdf0e67650.jpg  \n"," extracting: train/BikesHelmets394_png.rf.e4e140715f1a7c132b10668f725e3199.jpg  \n"," extracting: train/BikesHelmets395_png.rf.e3b01ee8bbeb37befb8e805f8b0844bc.jpg  \n"," extracting: train/BikesHelmets396_png.rf.0800c2218c5e835102dc8ef682dd98f2.jpg  \n"," extracting: train/BikesHelmets39_png.rf.51a083058f4866b423bb53784504d9f3.jpg  \n"," extracting: train/BikesHelmets3_png.rf.1ff4b509bea723e2e61ee845f003a8a1.jpg  \n"," extracting: train/BikesHelmets401_png.rf.4f46427e97aae6b8621074c671bdca03.jpg  \n"," extracting: train/BikesHelmets404_png.rf.8cca8d0f6505611f0355a8f28dbb38da.jpg  \n"," extracting: train/BikesHelmets405_png.rf.4cbb3f4c387f4c93056e86194e5f6539.jpg  \n"," extracting: train/BikesHelmets406_png.rf.91d46d5c227e3346c7bbb4ef2c23b85f.jpg  \n"," extracting: train/BikesHelmets408_png.rf.c61ccf4d76b3aa9e0bdb2fd63acf67ff.jpg  \n"," extracting: train/BikesHelmets409_png.rf.7d1b1ad1210888cb9c4cbad1b3db3239.jpg  \n"," extracting: train/BikesHelmets40_png.rf.dba4899507af48dce310ce5ca16c0b1f.jpg  \n"," extracting: train/BikesHelmets411_png.rf.e6c4819566436e882c7a9f4ed9e239fb.jpg  \n"," extracting: train/BikesHelmets415_png.rf.0201d0803a1ea2f603d61d699e69339c.jpg  \n"," extracting: train/BikesHelmets416_png.rf.811c1e30ede139f37a4d8b9734f61c13.jpg  \n"," extracting: train/BikesHelmets417_png.rf.dd9c6b23d40c51672edf93377df9fdba.jpg  \n"," extracting: train/BikesHelmets418_png.rf.aca78f901cc00d2b81badc715a590568.jpg  \n"," extracting: train/BikesHelmets41_png.rf.9500f758eee55649118a669449f9a9d6.jpg  \n"," extracting: train/BikesHelmets421_png.rf.d82d1996a9416ee93add1f8fd6c270b3.jpg  \n"," extracting: train/BikesHelmets423_png.rf.a82b3c371cb2479e100196937e201e3e.jpg  \n"," extracting: train/BikesHelmets424_png.rf.2d0e97def785631ba7ad60210051ab40.jpg  \n"," extracting: train/BikesHelmets425_png.rf.847221074c67fa987e3ac9645b949d9e.jpg  \n"," extracting: train/BikesHelmets429_png.rf.2170edfb3b08ebde4b83f2f35a907b31.jpg  \n"," extracting: train/BikesHelmets42_png.rf.4ab6e471867ffd380fc5c183aa870049.jpg  \n"," extracting: train/BikesHelmets431_png.rf.ad2619f5e5db06b6d3c38e1589252ba4.jpg  \n"," extracting: train/BikesHelmets432_png.rf.e9a1ea6b1157552a7df1e6b037a29642.jpg  \n"," extracting: train/BikesHelmets434_png.rf.b3914f1919a7a58afae39193fa70e181.jpg  \n"," extracting: train/BikesHelmets435_png.rf.3d8ec4097046960530743b095e9c92a0.jpg  \n"," extracting: train/BikesHelmets436_png.rf.26f32a92e8991e57ce744a962332b599.jpg  \n"," extracting: train/BikesHelmets437_png.rf.b0bf5fd4535b526900f63dbc55eaa78b.jpg  \n"," extracting: train/BikesHelmets438_png.rf.9d7a288bd0fcc48178f0014c87696a74.jpg  \n"," extracting: train/BikesHelmets439_png.rf.157afd4f12a963eff09ad8e639173857.jpg  \n"," extracting: train/BikesHelmets43_png.rf.0d16e06d2bbbee8224101d5339148307.jpg  \n"," extracting: train/BikesHelmets442_png.rf.468fa6fe874a73767d58fa08ba46b4b2.jpg  \n"," extracting: train/BikesHelmets443_png.rf.d387dd780ac2a7aa854c074ab874af6a.jpg  \n"," extracting: train/BikesHelmets444_png.rf.12236d63c0322d4cb238dc5dc3560db4.jpg  \n"," extracting: train/BikesHelmets445_png.rf.aaad25dea68e70cf317dd64c85c793c8.jpg  \n"," extracting: train/BikesHelmets447_png.rf.47d368fb12a38cb3046d2fb4653a2a58.jpg  \n"," extracting: train/BikesHelmets449_png.rf.8675afbf5c162c175fc42e7476463c0c.jpg  \n"," extracting: train/BikesHelmets44_png.rf.eedfe358ad9e84b31a0af09b55d510b5.jpg  \n"," extracting: train/BikesHelmets450_png.rf.4d98cec954b6fd1295e54604d64fb0d0.jpg  \n"," extracting: train/BikesHelmets451_png.rf.cd60d39f1bfdfe3eb69d51c7f7e7f31b.jpg  \n"," extracting: train/BikesHelmets452_png.rf.3322c331874d04e32fb779d8bf8fcc88.jpg  \n"," extracting: train/BikesHelmets456_png.rf.7f46578cfb132555f062d0adeb5c8a45.jpg  \n"," extracting: train/BikesHelmets459_png.rf.50d8a368080e09b53beae7cfea627bf1.jpg  \n"," extracting: train/BikesHelmets461_png.rf.b8470bc12172da1a7f0f2339a176ff53.jpg  \n"," extracting: train/BikesHelmets462_png.rf.c11a86d271e83745cd17bf123ec7e051.jpg  \n"," extracting: train/BikesHelmets463_png.rf.5957a51569b6dcd8032b462f5a181864.jpg  \n"," extracting: train/BikesHelmets464_png.rf.2e9f3b61bc7a6cbf3ea422058782324f.jpg  \n"," extracting: train/BikesHelmets466_png.rf.f4adbdb2f942a589969ee789b0f410ec.jpg  \n"," extracting: train/BikesHelmets468_png.rf.b6ae2b3f8da6316b754c36d031625536.jpg  \n"," extracting: train/BikesHelmets469_png.rf.94a6238c6862ac36989c60bb4f554a72.jpg  \n"," extracting: train/BikesHelmets46_png.rf.b2ce6e745369dcc7384d7b6cf2666a07.jpg  \n"," extracting: train/BikesHelmets471_png.rf.164dc512030f123cadc7773afd7ec6d9.jpg  \n"," extracting: train/BikesHelmets472_png.rf.89bc919b3706104f7f459fea6e251ce4.jpg  \n"," extracting: train/BikesHelmets474_png.rf.ac1334fecef3f2df219c1d8d54f2bec3.jpg  \n"," extracting: train/BikesHelmets476_png.rf.c6ff34337c1cdba753c4fed06ca06fd0.jpg  \n"," extracting: train/BikesHelmets478_png.rf.6e56b77f9be2767e353cf9fd0974aae5.jpg  \n"," extracting: train/BikesHelmets479_png.rf.6c86b740e195c04048a4223dce4ba90c.jpg  \n"," extracting: train/BikesHelmets482_png.rf.cd179cee9452f9587cadac19ea52055a.jpg  \n"," extracting: train/BikesHelmets484_png.rf.dc29a492a79abd5a8aeed3b02d797638.jpg  \n"," extracting: train/BikesHelmets485_png.rf.223384d8bbe80617f1fbcaefc25a26ee.jpg  \n"," extracting: train/BikesHelmets487_png.rf.e70e01b09e7edc1c7192c76c5b63fd2b.jpg  \n"," extracting: train/BikesHelmets488_png.rf.ea148f91750c15f04e802ba917e05ce3.jpg  \n"," extracting: train/BikesHelmets489_png.rf.1231a7a5ddfa873348aafa073fd659fd.jpg  \n"," extracting: train/BikesHelmets48_png.rf.26f152315448b809dc87e70d085a8f20.jpg  \n"," extracting: train/BikesHelmets490_png.rf.2dc34865a5f6d4a7f16db1e491416935.jpg  \n"," extracting: train/BikesHelmets491_png.rf.ed5ee904962a16c075c3d47e2791da4c.jpg  \n"," extracting: train/BikesHelmets494_png.rf.db3e6bd2f19c0434b543d6c24be5f4c6.jpg  \n"," extracting: train/BikesHelmets497_png.rf.e6eb42b6ff9e37ee95a167dfd9f66be4.jpg  \n"," extracting: train/BikesHelmets499_png.rf.d8695eeac1b9da6a581f5e1594796b19.jpg  \n"," extracting: train/BikesHelmets4_png.rf.4ccaca8b301847a8d1992ce404c579f8.jpg  \n"," extracting: train/BikesHelmets500_png.rf.fcf8dbe3a14ecf7be9bcea90c73c98fa.jpg  \n"," extracting: train/BikesHelmets501_png.rf.f0156bd737e235c2e5b41228fecc4abe.jpg  \n"," extracting: train/BikesHelmets502_png.rf.07524f7e4b09084362af3e9a73d281e7.jpg  \n"," extracting: train/BikesHelmets504_png.rf.8255c62a3fc2a6e8430e3f229e906422.jpg  \n"," extracting: train/BikesHelmets505_png.rf.35d7b154f6769870c633fa7f6e373932.jpg  \n"," extracting: train/BikesHelmets506_png.rf.483c817a905d04e0a8ca8d29dafa79f2.jpg  \n"," extracting: train/BikesHelmets507_png.rf.47290047ab525b08af55c269b4bc173b.jpg  \n"," extracting: train/BikesHelmets508_png.rf.96e64612a58d608a03f6ad0d5988101c.jpg  \n"," extracting: train/BikesHelmets509_png.rf.b7283bdc3e0603a67fd41584f8530adb.jpg  \n"," extracting: train/BikesHelmets510_png.rf.00628c9e9cb0caded3b11017618c054c.jpg  \n"," extracting: train/BikesHelmets513_png.rf.d9d79e69eac54f6d1e96d452fa76320c.jpg  \n"," extracting: train/BikesHelmets51_png.rf.e1f311c5f2cf5ec9bade8b7d7bd2d0a6.jpg  \n"," extracting: train/BikesHelmets520_png.rf.c8a8348cc684c584a86e08bfafe90685.jpg  \n"," extracting: train/BikesHelmets522_png.rf.68a74e2751db5494e57b165d7ae8c4a6.jpg  \n"," extracting: train/BikesHelmets523_png.rf.0b3fe32485706b3170f5bd6d6673ef9e.jpg  \n"," extracting: train/BikesHelmets526_png.rf.3c9fdfef6357a396e9e5728c8d477e6a.jpg  \n"," extracting: train/BikesHelmets527_png.rf.afcf0f324662ac9521ca7ff184c47a7d.jpg  \n"," extracting: train/BikesHelmets529_png.rf.c3af379acc27a27c2c8a1e5e9b778364.jpg  \n"," extracting: train/BikesHelmets52_png.rf.37f02f6487e43dd8126ad9e36ba4f01b.jpg  \n"," extracting: train/BikesHelmets531_png.rf.0e3c6527e55449b204f827f2669b2c47.jpg  \n"," extracting: train/BikesHelmets535_png.rf.44959d1bf5376746b4d765a1a7ca94f7.jpg  \n"," extracting: train/BikesHelmets536_png.rf.42e707cb5eae6c8cbe4e0b37c74e97f3.jpg  \n"," extracting: train/BikesHelmets537_png.rf.312cfd69e364935f3034f0d1498e16d4.jpg  \n"," extracting: train/BikesHelmets541_png.rf.8d5fc156e7b1cd69d989b432b35fb8d9.jpg  \n"," extracting: train/BikesHelmets543_png.rf.699c0592e1b3ef2cd5db067ad48e59f7.jpg  \n"," extracting: train/BikesHelmets547_png.rf.6f89e3e6e9533fe0ceed18280b98b150.jpg  \n"," extracting: train/BikesHelmets548_png.rf.1fdafeddd6cdc44a5b6de30e6e1cd46f.jpg  \n"," extracting: train/BikesHelmets549_png.rf.d747db3d9057e85780d1f6a001e3e5b7.jpg  \n"," extracting: train/BikesHelmets550_png.rf.fcd75bf6a0c2838b2fd2e8ec39e91618.jpg  \n"," extracting: train/BikesHelmets551_png.rf.e6735a00ec3fe633a06761847f452a73.jpg  \n"," extracting: train/BikesHelmets553_png.rf.f5dc6558633561e207e64a65c0190486.jpg  \n"," extracting: train/BikesHelmets554_png.rf.7c247f685fbb62ddf0e6165f0fc696a7.jpg  \n"," extracting: train/BikesHelmets555_png.rf.9660dadaec100055dd50b4e49922eba0.jpg  \n"," extracting: train/BikesHelmets557_png.rf.f838dfb0cfbb1a25c487735b8ff0e3bc.jpg  \n"," extracting: train/BikesHelmets559_png.rf.69965e49db8be3adfc1afb9a7b0aa913.jpg  \n"," extracting: train/BikesHelmets55_png.rf.b3813d0d33a436b80fee43ca499151e9.jpg  \n"," extracting: train/BikesHelmets560_png.rf.90695b70853b5d52fc47c71dbd29d2d1.jpg  \n"," extracting: train/BikesHelmets562_png.rf.dcadc47b0a069ff86c9ca61fa24c8d76.jpg  \n"," extracting: train/BikesHelmets563_png.rf.0ceff51940b4590325d49f834b091908.jpg  \n"," extracting: train/BikesHelmets564_png.rf.317bc9a72ebb8f700c371dfc1f7c1797.jpg  \n"," extracting: train/BikesHelmets565_png.rf.52d1c51b77a6512284c387cb21e0d985.jpg  \n"," extracting: train/BikesHelmets566_png.rf.1817e739a587ee8c193d046d8536601f.jpg  \n"," extracting: train/BikesHelmets569_png.rf.2dd0f215df96d4863edd2cb67d57d96f.jpg  \n"," extracting: train/BikesHelmets56_png.rf.832cba67f954e9b4f70937c453cb6278.jpg  \n"," extracting: train/BikesHelmets570_png.rf.0f2054c64a3ca48ebab0ac907efcd7f5.jpg  \n"," extracting: train/BikesHelmets576_png.rf.f223763e8dba2354519fc32d8458c16a.jpg  \n"," extracting: train/BikesHelmets577_png.rf.36418f3a4fcbfc60f05844e682e16f8c.jpg  \n"," extracting: train/BikesHelmets578_png.rf.c03a2fca1f13fd754465eefd705fdf6f.jpg  \n"," extracting: train/BikesHelmets57_png.rf.af18803667bbe8044c013ae8e57f054c.jpg  \n"," extracting: train/BikesHelmets580_png.rf.af00ced48cf68680e9e930d604f69628.jpg  \n"," extracting: train/BikesHelmets582_png.rf.9440da33c1e0fc731869f59c4d8f0e59.jpg  \n"," extracting: train/BikesHelmets584_png.rf.d02a4b83f30979b88011527111495690.jpg  \n"," extracting: train/BikesHelmets585_png.rf.8b1faf8d96cb280a819d7ab11ea8ee3a.jpg  \n"," extracting: train/BikesHelmets587_png.rf.34f6399436eab26a0030a8e97d279657.jpg  \n"," extracting: train/BikesHelmets589_png.rf.ad6748c3ac867e1b30f4f1f3e7f1a9af.jpg  \n"," extracting: train/BikesHelmets58_png.rf.246ee1c5b9391025708dab73a2ca152b.jpg  \n"," extracting: train/BikesHelmets591_png.rf.5b9bae3a36692342d69fc7ae0f45ec58.jpg  \n"," extracting: train/BikesHelmets594_png.rf.fb5771f1a058fc13dfd3a450d5e27841.jpg  \n"," extracting: train/BikesHelmets595_png.rf.67af20376ec5b531196d9661909a3b06.jpg  \n"," extracting: train/BikesHelmets596_png.rf.77fd5a86f69abd4836b27c5c6159a13a.jpg  \n"," extracting: train/BikesHelmets597_png.rf.54328bde8388cd89bee9de6ffdef7c2b.jpg  \n"," extracting: train/BikesHelmets598_png.rf.492a927fe1afeb88ce774c3c2fc57633.jpg  \n"," extracting: train/BikesHelmets601_png.rf.52ae5b827fab7246d1f14cd177ba9c64.jpg  \n"," extracting: train/BikesHelmets605_png.rf.89b277eb04f1f74b0302d185350ea8a9.jpg  \n"," extracting: train/BikesHelmets606_png.rf.61a2df9aa4d65dd46f414aeaba038360.jpg  \n"," extracting: train/BikesHelmets607_png.rf.5c2eec02fa62d170f7b153e6110c8ba1.jpg  \n"," extracting: train/BikesHelmets609_png.rf.1b5a89b8e26be3dd99a7c87890ddc891.jpg  \n"," extracting: train/BikesHelmets611_png.rf.429448950f9a7c077afd1cfa16c0e483.jpg  \n"," extracting: train/BikesHelmets612_png.rf.9025f5f846c010f7439e09e0c11aa27d.jpg  \n"," extracting: train/BikesHelmets613_png.rf.1faec51672b749971e8299af5e575d57.jpg  \n"," extracting: train/BikesHelmets615_png.rf.0f892a59595dfd0155e39986ffaab136.jpg  \n"," extracting: train/BikesHelmets616_png.rf.e0a90c6ee10283caa0d875766e61e06d.jpg  \n"," extracting: train/BikesHelmets617_png.rf.9aedd6c44282a0768a7702d0757fa11d.jpg  \n"," extracting: train/BikesHelmets618_png.rf.6b097108f20b20161745da89e40859f8.jpg  \n"," extracting: train/BikesHelmets619_png.rf.87e42800cc48f30c8b108fe8e39ddacb.jpg  \n"," extracting: train/BikesHelmets620_png.rf.68636144e396b382b5c7339147e9ff9a.jpg  \n"," extracting: train/BikesHelmets621_png.rf.42cee080978f0a1a10d51d54bec38d32.jpg  \n"," extracting: train/BikesHelmets622_png.rf.2ca369a0121f3ab84f9382f548dc3d71.jpg  \n"," extracting: train/BikesHelmets623_png.rf.b214d1c08bedecf21bd39de0f88de7f6.jpg  \n"," extracting: train/BikesHelmets626_png.rf.04e24e06c2207b4b8b113de0d9c4515d.jpg  \n"," extracting: train/BikesHelmets628_png.rf.42db58f251313b4285afafd45bcc22eb.jpg  \n"," extracting: train/BikesHelmets629_png.rf.c8c3b2ffeda104c5d4d49ba52793566f.jpg  \n"," extracting: train/BikesHelmets631_png.rf.1f116559feae82f070690d7999b8c57f.jpg  \n"," extracting: train/BikesHelmets632_png.rf.883dcad4f55bfa3d7088228f3da2750d.jpg  \n"," extracting: train/BikesHelmets633_png.rf.80db1328ec807ccf91032050f0f9014c.jpg  \n"," extracting: train/BikesHelmets635_png.rf.52d7f1c7a9a97657a3abda82d5246dde.jpg  \n"," extracting: train/BikesHelmets636_png.rf.5a7f1b3912698f5e61153532aa72b2eb.jpg  \n"," extracting: train/BikesHelmets637_png.rf.d4d46692da3d9e76b1c32c005c0bf375.jpg  \n"," extracting: train/BikesHelmets638_png.rf.330d235a352ec6c90c2aeecb71eeffa8.jpg  \n"," extracting: train/BikesHelmets639_png.rf.7d1c76988bc5016b0c712f705d01deb8.jpg  \n"," extracting: train/BikesHelmets640_png.rf.2a22ab6b96f65f5bbf29739875cfecc2.jpg  \n"," extracting: train/BikesHelmets641_png.rf.e270912427d136fda4d5d1c73aa6d7f0.jpg  \n"," extracting: train/BikesHelmets642_png.rf.9171ec3e5f1c346b69e1567301478840.jpg  \n"," extracting: train/BikesHelmets643_png.rf.697063caf41d3c6a6d84d6ecd426e773.jpg  \n"," extracting: train/BikesHelmets647_png.rf.cacd0a46169118a872ee37ab6db1be3c.jpg  \n"," extracting: train/BikesHelmets649_png.rf.2d89647653cb1e90d8863a54fb28ebad.jpg  \n"," extracting: train/BikesHelmets650_png.rf.6f7374488c2b719f3ccc19be6e4bc629.jpg  \n"," extracting: train/BikesHelmets651_png.rf.d429701e41b8c310a94c8f2e2b43f0a2.jpg  \n"," extracting: train/BikesHelmets654_png.rf.1282a59db0414650349e6489b4011e42.jpg  \n"," extracting: train/BikesHelmets656_png.rf.53895972af4326bcd5f15774f4853487.jpg  \n"," extracting: train/BikesHelmets657_png.rf.fcb528ac1af53feec02a4810619b4ca5.jpg  \n"," extracting: train/BikesHelmets660_png.rf.1860a901a13000a2521dc1c952de5a58.jpg  \n"," extracting: train/BikesHelmets661_png.rf.6d7ae35d0c244650eeaed5aadf6dc659.jpg  \n"," extracting: train/BikesHelmets662_png.rf.d41b50898b6282671ec20333f373f998.jpg  \n"," extracting: train/BikesHelmets664_png.rf.554ae9649c303d0cc752feec36d30f0f.jpg  \n"," extracting: train/BikesHelmets665_png.rf.38d00f7966e1f84acace28f03835ee7c.jpg  \n"," extracting: train/BikesHelmets668_png.rf.f56e6c69b56188a730fd3fdd7090d1e0.jpg  \n"," extracting: train/BikesHelmets670_png.rf.07cdd1bb89fc01fcf023fa5a506ff508.jpg  \n"," extracting: train/BikesHelmets671_png.rf.4c76dad232eb5ecf5adfcc4bb2e02417.jpg  \n"," extracting: train/BikesHelmets675_png.rf.4db0d01d994762f81970523ad661c678.jpg  \n"," extracting: train/BikesHelmets676_png.rf.af3dd9baec2d7a15144db9a84f96e789.jpg  \n"," extracting: train/BikesHelmets677_png.rf.22a9c87dece691ebb293140ab67e7fdc.jpg  \n"," extracting: train/BikesHelmets678_png.rf.fac17ea24f1ec1751e63258d4d225cd2.jpg  \n"," extracting: train/BikesHelmets682_png.rf.e76ec12b23d373b7bc7fe341cba24383.jpg  \n"," extracting: train/BikesHelmets685_png.rf.91693e312172081c4015c7be934e6da5.jpg  \n"," extracting: train/BikesHelmets686_png.rf.8cb2030a32724bc464b4d92b47a9d91d.jpg  \n"," extracting: train/BikesHelmets687_png.rf.c2560f7dab704ebe2a500c5b4344d65f.jpg  \n"," extracting: train/BikesHelmets688_png.rf.a3b142d49c9964ee9d1d9d13aeadbd6a.jpg  \n"," extracting: train/BikesHelmets689_png.rf.98f5fa8b3a282e912be725b548d9d0f6.jpg  \n"," extracting: train/BikesHelmets68_png.rf.34457051804ca862b1b734b89619a16a.jpg  \n"," extracting: train/BikesHelmets692_png.rf.99a7a7c2299fa1836ab703bb01791aef.jpg  \n"," extracting: train/BikesHelmets700_png.rf.3d11e7b778417ffddbc34797e1e7ebe6.jpg  \n"," extracting: train/BikesHelmets702_png.rf.8806f92a3b96236f621f8218acba9097.jpg  \n"," extracting: train/BikesHelmets705_png.rf.4c179e93bdbcc3184acd7cfe75488605.jpg  \n"," extracting: train/BikesHelmets706_png.rf.03b6beb5b3ac9e94ef9c7da561335040.jpg  \n"," extracting: train/BikesHelmets707_png.rf.e8fe173b2155264161b2205e741fa50d.jpg  \n"," extracting: train/BikesHelmets709_png.rf.a8638544517e69f934a5ba5e36cc5d28.jpg  \n"," extracting: train/BikesHelmets70_png.rf.ca7d1973b72a4f440ee6e5d10bb38385.jpg  \n"," extracting: train/BikesHelmets719_png.rf.491bc95a2d5354af6cdc609aa2097e21.jpg  \n"," extracting: train/BikesHelmets721_png.rf.2ecadac56879e8cb0dd13880babb2cb0.jpg  \n"," extracting: train/BikesHelmets723_png.rf.ebd817e8a332ceea1e7f692eb8243298.jpg  \n"," extracting: train/BikesHelmets726_png.rf.04779e29615a36747b3bd6dacd3ae321.jpg  \n"," extracting: train/BikesHelmets729_png.rf.f00bebb257d09bf8cd5b867907ad0ba5.jpg  \n"," extracting: train/BikesHelmets72_png.rf.03dff84cd6010e00b60cde6e94a76e20.jpg  \n"," extracting: train/BikesHelmets733_png.rf.ce85b7e2684c65800f97c8485cf2ebca.jpg  \n"," extracting: train/BikesHelmets735_png.rf.f4b28d7f662e1ebe17a6f88f413ed305.jpg  \n"," extracting: train/BikesHelmets737_png.rf.6c11c1a549c2f8d4db2c0e33b167feab.jpg  \n"," extracting: train/BikesHelmets738_png.rf.d2a5d7cf3a32f9cb9a01c1832f50fc2b.jpg  \n"," extracting: train/BikesHelmets739_png.rf.87d488ff436f747d2395c18caf705709.jpg  \n"," extracting: train/BikesHelmets73_png.rf.dc200d19eea9c1e1b1c36056e444186f.jpg  \n"," extracting: train/BikesHelmets741_png.rf.02dba9f9aa42d147e5ef9ee95869ca27.jpg  \n"," extracting: train/BikesHelmets744_png.rf.276d770640c0c5e2ad27dc81321491b4.jpg  \n"," extracting: train/BikesHelmets745_png.rf.a932bd6723d5ad23615c76068c664604.jpg  \n"," extracting: train/BikesHelmets746_png.rf.2ae0e6051f76f10c292407acc02ec4db.jpg  \n"," extracting: train/BikesHelmets747_png.rf.4f66593f5eb06ac3dbe7442f15f075e6.jpg  \n"," extracting: train/BikesHelmets748_png.rf.8b19167c9e8c8309bc1727fb2ee94084.jpg  \n"," extracting: train/BikesHelmets74_png.rf.8c1580713737784efbc331a5fcd6df57.jpg  \n"," extracting: train/BikesHelmets751_png.rf.3878400c33843af27c6083b62b3ca323.jpg  \n"," extracting: train/BikesHelmets752_png.rf.210fd4aca8a3db8d32cfb805ec34a10a.jpg  \n"," extracting: train/BikesHelmets754_png.rf.d8e948d3ff7f8d242d0ea03025c84a0f.jpg  \n"," extracting: train/BikesHelmets755_png.rf.a5472a92036378806209f8a4a4cf2935.jpg  \n"," extracting: train/BikesHelmets757_png.rf.ec4c5d68b5bc1a3545a2c93ee5806400.jpg  \n"," extracting: train/BikesHelmets759_png.rf.fc0f3e539bc66f30c5d169bab1433794.jpg  \n"," extracting: train/BikesHelmets75_png.rf.0babdaff8ab7e44a865dd1d650a6a9fb.jpg  \n"," extracting: train/BikesHelmets762_png.rf.346afc9f6fcaa98b2d19370d09c92f43.jpg  \n"," extracting: train/BikesHelmets764_png.rf.f261b7681c64aafe65376c3df1190940.jpg  \n"," extracting: train/BikesHelmets76_png.rf.85b6262325ee6d08a7f8601fe252aba7.jpg  \n"," extracting: train/BikesHelmets77_png.rf.06c3d3cd68f1d7ee757e4965bb9a058f.jpg  \n"," extracting: train/BikesHelmets78_png.rf.785f196afc56afb943c26dfcf5b5279d.jpg  \n"," extracting: train/BikesHelmets82_png.rf.c44b9ad063704cfe10c01f5862da1119.jpg  \n"," extracting: train/BikesHelmets84_png.rf.d93f60f0835ffdd7f5a7d1833e9fb68b.jpg  \n"," extracting: train/BikesHelmets85_png.rf.eb3d89e4c035fe36b5e9144f014c8009.jpg  \n"," extracting: train/BikesHelmets8_png.rf.f0a16abef49b77cd755016b980a4ed6d.jpg  \n"," extracting: train/BikesHelmets90_png.rf.d2e28f82411654572172f0cc45b034b8.jpg  \n"," extracting: train/BikesHelmets92_png.rf.f19ce98af6618ad70134dc6c8a0650be.jpg  \n"," extracting: train/BikesHelmets93_png.rf.6faec31cd4ca674c0ed7450fde9818bc.jpg  \n"," extracting: train/BikesHelmets95_png.rf.96dfc4aa7fbd538b8e8079940e3506c1.jpg  \n"," extracting: train/BikesHelmets97_png.rf.a230c0699c7b880b12a36a3ea4c32a94.jpg  \n"," extracting: train/BikesHelmets98_png.rf.69b8d83f0cd7e97890390468c48759c2.jpg  \n"," extracting: train/_annotations.coco.json  \n","   creating: valid/\n"," extracting: valid/BikesHelmets0_png.rf.9b82db6b3926859b04be77e10d1b3e2b.jpg  \n"," extracting: valid/BikesHelmets101_png.rf.ad728b44a9f20c7493b4e4353e9845d0.jpg  \n"," extracting: valid/BikesHelmets104_png.rf.f36180a6fbc76b5db7cdc6ee6f2e16b4.jpg  \n"," extracting: valid/BikesHelmets106_png.rf.8866bdd0091cb7ad2724fc878885c5ba.jpg  \n"," extracting: valid/BikesHelmets107_png.rf.13e3b2c9211625c6bb720fda5bf9b89d.jpg  \n"," extracting: valid/BikesHelmets108_png.rf.350a2a32f7d6ded3cdaeb4e3d37dcea9.jpg  \n"," extracting: valid/BikesHelmets109_png.rf.d984b011a0973a2b9a9f6dcf82c3edcd.jpg  \n"," extracting: valid/BikesHelmets121_png.rf.748b75ca45570ded3c426a34eefeec39.jpg  \n"," extracting: valid/BikesHelmets127_png.rf.9d213406ab63551aca5d7bc548472564.jpg  \n"," extracting: valid/BikesHelmets128_png.rf.b11364e01cc7bc254e8c533c0b183c5b.jpg  \n"," extracting: valid/BikesHelmets129_png.rf.448bd568f542a048b09da8038a9bf024.jpg  \n"," extracting: valid/BikesHelmets132_png.rf.5e3d8bf1d78af12d1df4eb6b2d0e9a9c.jpg  \n"," extracting: valid/BikesHelmets135_png.rf.7ac62913b214b30a07fd41bb41dd5a9c.jpg  \n"," extracting: valid/BikesHelmets137_png.rf.6573aff0e5b3ecdca00782bc9cc6fc8b.jpg  \n"," extracting: valid/BikesHelmets150_png.rf.4351d745539e3d5eaff8bc8a881105d5.jpg  \n"," extracting: valid/BikesHelmets158_png.rf.b86e509fc448979e21bda0bc7d281400.jpg  \n"," extracting: valid/BikesHelmets159_png.rf.36f82f575bc05f1fef7dd9a0944ea67c.jpg  \n"," extracting: valid/BikesHelmets15_png.rf.87971d6a4f0983a99a09d57a07f49f90.jpg  \n"," extracting: valid/BikesHelmets164_png.rf.1c71e73f67a2781da3886f299223e628.jpg  \n"," extracting: valid/BikesHelmets166_png.rf.400c393b3ae95029020a954b766c8fd4.jpg  \n"," extracting: valid/BikesHelmets173_png.rf.5b0104e2ef151770d304664dd520c02f.jpg  \n"," extracting: valid/BikesHelmets177_png.rf.dea53983aa919767ecb57ffa70779a7a.jpg  \n"," extracting: valid/BikesHelmets183_png.rf.ee07217b9e63f9d54d2c39ec3173876a.jpg  \n"," extracting: valid/BikesHelmets185_png.rf.e896dfa9509c20896699eb9e875e5071.jpg  \n"," extracting: valid/BikesHelmets188_png.rf.f6f4753caba111d3a3139ff91851690a.jpg  \n"," extracting: valid/BikesHelmets195_png.rf.03b5b9e9d996bdead177d025559a3398.jpg  \n"," extracting: valid/BikesHelmets198_png.rf.707e737c79644ed4303f394286d31002.jpg  \n"," extracting: valid/BikesHelmets199_png.rf.7866c6bcca3a0946cec295b61a9419cb.jpg  \n"," extracting: valid/BikesHelmets209_png.rf.5d1065e984b80f5c560fa7b2b7babfb5.jpg  \n"," extracting: valid/BikesHelmets217_png.rf.30575fde361b5fd4b5d3f767c4a5ddc1.jpg  \n"," extracting: valid/BikesHelmets223_png.rf.79fd906b8b22fa69c3eae7086cf90078.jpg  \n"," extracting: valid/BikesHelmets226_png.rf.0684a903346b2bccc243f274b1f65e21.jpg  \n"," extracting: valid/BikesHelmets227_png.rf.56e8ffeb704e1f1f4de57dc9edfd89a2.jpg  \n"," extracting: valid/BikesHelmets228_png.rf.78fc8c5506e1332e4c0f85ddedd1dfac.jpg  \n"," extracting: valid/BikesHelmets233_png.rf.3a692fca22c690698bde27da1d63c53c.jpg  \n"," extracting: valid/BikesHelmets236_png.rf.8ca6447dca5de2775bc28c83f44d93d0.jpg  \n"," extracting: valid/BikesHelmets237_png.rf.ab8bdc86a45ab934cc0857db53149c3d.jpg  \n"," extracting: valid/BikesHelmets243_png.rf.7b61f2abc59baead1ff78ca9d4f1fe8c.jpg  \n"," extracting: valid/BikesHelmets249_png.rf.4d3bba02e2a0357a45f3495f9c188a38.jpg  \n"," extracting: valid/BikesHelmets256_png.rf.fb9d37a578ebba535bcc5c2cfa29831b.jpg  \n"," extracting: valid/BikesHelmets262_png.rf.6f2f34a6a1a36570f0c9fb7e3a2adff1.jpg  \n"," extracting: valid/BikesHelmets272_png.rf.3a8b96d7ffcb1d6be3a46b6f1d248bb8.jpg  \n"," extracting: valid/BikesHelmets273_png.rf.75991d564d26fa0767390772eee6b2f6.jpg  \n"," extracting: valid/BikesHelmets282_png.rf.b87f5b28287672e1b659ff96904abc82.jpg  \n"," extracting: valid/BikesHelmets285_png.rf.d81bf6b3098193d8c3bd1c5fb8c15e19.jpg  \n"," extracting: valid/BikesHelmets286_png.rf.dd11b3ccc98aeb67011987bb2a7e6f40.jpg  \n"," extracting: valid/BikesHelmets293_png.rf.f83c19bc5afa41387b4da32e369d321a.jpg  \n"," extracting: valid/BikesHelmets29_png.rf.5f7e325e32fe131880f4054c22d9fd33.jpg  \n"," extracting: valid/BikesHelmets2_png.rf.34e3c9aa70976dae987c5882ab48cc7a.jpg  \n"," extracting: valid/BikesHelmets302_png.rf.804f451bbd6224ddb76bd8a41fb09c82.jpg  \n"," extracting: valid/BikesHelmets321_png.rf.7c29800e735f21f1fce27c5f47fdb9d9.jpg  \n"," extracting: valid/BikesHelmets328_png.rf.587b0cf75cb9664fd38de80741b51873.jpg  \n"," extracting: valid/BikesHelmets329_png.rf.3405a8687105fbe0911867985c736a10.jpg  \n"," extracting: valid/BikesHelmets337_png.rf.89dbe39f1c8da3447308dc4e0fe88156.jpg  \n"," extracting: valid/BikesHelmets347_png.rf.4a430dd92803b2babef9f6e945ec8440.jpg  \n"," extracting: valid/BikesHelmets356_png.rf.051596b52e274e49c1003a58a5e049ac.jpg  \n"," extracting: valid/BikesHelmets360_png.rf.848ddb1d91e7aa908c2d0ca3d66d23ea.jpg  \n"," extracting: valid/BikesHelmets361_png.rf.e16347e3dfb7c84e2c555e258b3f1605.jpg  \n"," extracting: valid/BikesHelmets366_png.rf.35083a75b9593eea5437244d9f4d1ba1.jpg  \n"," extracting: valid/BikesHelmets36_png.rf.a7ee5ecc0ee2845613529e5aad282fca.jpg  \n"," extracting: valid/BikesHelmets370_png.rf.c0fc1c56859c3b8d5e9831dd24733091.jpg  \n"," extracting: valid/BikesHelmets376_png.rf.d4c7da6b7c2911e63bbbc4a772f1079f.jpg  \n"," extracting: valid/BikesHelmets391_png.rf.fdeb53a4c12f4ec079100a7d9dd19c54.jpg  \n"," extracting: valid/BikesHelmets412_png.rf.d5dc005f17cc2a81d4aa8da85127d2ef.jpg  \n"," extracting: valid/BikesHelmets420_png.rf.8981fcf65cf33209893ade15d3de261b.jpg  \n"," extracting: valid/BikesHelmets426_png.rf.c31eaa3a925e0ad75f391a907afea2a3.jpg  \n"," extracting: valid/BikesHelmets428_png.rf.6a63b6e8355dba10c688ba02f3ee1060.jpg  \n"," extracting: valid/BikesHelmets441_png.rf.7057783d12dc12d4f6efe8e3b0467a2d.jpg  \n"," extracting: valid/BikesHelmets446_png.rf.14fb85d31e0ef6e033b28048b044bbe9.jpg  \n"," extracting: valid/BikesHelmets453_png.rf.49645ad32dfc8502dea437475b90334d.jpg  \n"," extracting: valid/BikesHelmets457_png.rf.9f9cd2cd48c4da66f7d547b0c17bcf1f.jpg  \n"," extracting: valid/BikesHelmets460_png.rf.4c5840cd14da25280d75d5a8a611edb6.jpg  \n"," extracting: valid/BikesHelmets473_png.rf.3720692214af5ac496af15251f26f27c.jpg  \n"," extracting: valid/BikesHelmets477_png.rf.80974ed5122e93a84b986d96bb2005a4.jpg  \n"," extracting: valid/BikesHelmets480_png.rf.3d6e8abdf89b0367a403420b006682b5.jpg  \n"," extracting: valid/BikesHelmets483_png.rf.ff30e1cc3b9e89491f03b33ae462af6f.jpg  \n"," extracting: valid/BikesHelmets486_png.rf.e986a7c5de2835cc1812aaa0c8bc3abb.jpg  \n"," extracting: valid/BikesHelmets493_png.rf.ce1980b8cf28025f4ef4c860d6dd7e8b.jpg  \n"," extracting: valid/BikesHelmets511_png.rf.bf86d32c56ca7e1e06de65f23bb890b7.jpg  \n"," extracting: valid/BikesHelmets512_png.rf.81e16f99544afe7413759ace7e221547.jpg  \n"," extracting: valid/BikesHelmets514_png.rf.e112c009c718291ee385dcfeb91f9c04.jpg  \n"," extracting: valid/BikesHelmets515_png.rf.63f2e3ebccff9961f37b0a50f0a47ed0.jpg  \n"," extracting: valid/BikesHelmets516_png.rf.124602ceca284ba85809f02792937e19.jpg  \n"," extracting: valid/BikesHelmets517_png.rf.fe329a22ddd483e1a7893e626215cc2d.jpg  \n"," extracting: valid/BikesHelmets518_png.rf.5d6f1ce8fb8b8a65170fa7494d36111c.jpg  \n"," extracting: valid/BikesHelmets519_png.rf.b72a9247ff74480fc95cb9e956439065.jpg  \n"," extracting: valid/BikesHelmets530_png.rf.4a052df055bb5dff17612d253f6bb156.jpg  \n"," extracting: valid/BikesHelmets533_png.rf.74be546559d713586c911768e9b967b8.jpg  \n"," extracting: valid/BikesHelmets53_png.rf.89736331d13926e22e5fded3072c281a.jpg  \n"," extracting: valid/BikesHelmets545_png.rf.e20eac46885aee414d3ec5d61bc316bf.jpg  \n"," extracting: valid/BikesHelmets558_png.rf.d6d7aa448acad87bb67715a55e10e99e.jpg  \n"," extracting: valid/BikesHelmets573_png.rf.adec33830008f8e1f2054b8e0743ee92.jpg  \n"," extracting: valid/BikesHelmets583_png.rf.2d7ad0e793e69a96855b3f699307be62.jpg  \n"," extracting: valid/BikesHelmets592_png.rf.75807cb7711c832e6172f3088dcb3eed.jpg  \n"," extracting: valid/BikesHelmets593_png.rf.2ac4c0fad4a6ab2333c1e22a324fe5c0.jpg  \n"," extracting: valid/BikesHelmets600_png.rf.f8468f77e01c2eea815e1ee2e06070ad.jpg  \n"," extracting: valid/BikesHelmets602_png.rf.3943b918d4a0efd57700a94fc88e77fb.jpg  \n"," extracting: valid/BikesHelmets61_png.rf.cc3886c8ea301eddbc5c27cc023c6bee.jpg  \n"," extracting: valid/BikesHelmets624_png.rf.f5705589ba04527a7564c445fa1e4027.jpg  \n"," extracting: valid/BikesHelmets62_png.rf.67928c9a5d12b3343a96e5c6484923ed.jpg  \n"," extracting: valid/BikesHelmets630_png.rf.5849423648c67918192d1a4582805189.jpg  \n"," extracting: valid/BikesHelmets634_png.rf.8ca22426db7631d4f91b5bbb5888e7cd.jpg  \n"," extracting: valid/BikesHelmets63_png.rf.9d46eebbccbf58141233cd31b703ceb0.jpg  \n"," extracting: valid/BikesHelmets652_png.rf.67abd74d46749960a13b9fb20a511e55.jpg  \n"," extracting: valid/BikesHelmets653_png.rf.52eb2b0076c873f89ba87634b7f23ed9.jpg  \n"," extracting: valid/BikesHelmets679_png.rf.b9391c11a6493a9216f8ac2e04eb427f.jpg  \n"," extracting: valid/BikesHelmets67_png.rf.a62eae684860a2bfee2154c0e960c80c.jpg  \n"," extracting: valid/BikesHelmets680_png.rf.44c55f9af33201cf7c51356e1ddee2fc.jpg  \n"," extracting: valid/BikesHelmets683_png.rf.abf55aebed1606a5ec6de75995869451.jpg  \n"," extracting: valid/BikesHelmets684_png.rf.6bb963b0dff684e047f3a917b060e686.jpg  \n"," extracting: valid/BikesHelmets690_png.rf.ef35a8a16501c9741a7c6482ce5b5bda.jpg  \n"," extracting: valid/BikesHelmets693_png.rf.1ce3877b62713f82ed17cbf59d66054d.jpg  \n"," extracting: valid/BikesHelmets712_png.rf.f8bb6112d50a1dba2008358c636b49f7.jpg  \n"," extracting: valid/BikesHelmets714_png.rf.b358e39731d7bb4a05b52e3d283dd01b.jpg  \n"," extracting: valid/BikesHelmets722_png.rf.a5303e757f4bc646b0694f8422189e8c.jpg  \n"," extracting: valid/BikesHelmets730_png.rf.8401374b1e731eb5a6f3f9c56ec740cc.jpg  \n"," extracting: valid/BikesHelmets731_png.rf.31c2f7c98848acd1fcd6bca4f6ce0415.jpg  \n"," extracting: valid/BikesHelmets734_png.rf.675cd545ca15ef5c46401230cb19bab7.jpg  \n"," extracting: valid/BikesHelmets753_png.rf.72167a9d332f8fd02f3acbcdefe391ec.jpg  \n"," extracting: valid/BikesHelmets756_png.rf.8d1378bb7708cb01111b16458e6aaa3a.jpg  \n"," extracting: valid/BikesHelmets79_png.rf.916377fcebf64e0264e3f6bf16816424.jpg  \n"," extracting: valid/BikesHelmets7_png.rf.e4fe57cf85bdc198dcc402ca832cce38.jpg  \n"," extracting: valid/BikesHelmets87_png.rf.a9f7c20c3b5d9fc8cfce346cf08c0607.jpg  \n"," extracting: valid/BikesHelmets91_png.rf.db4f8b331d5d8e62d504a61cb5546351.jpg  \n"," extracting: valid/BikesHelmets94_png.rf.eebeda6e661971b5aa7b7195cac906a9.jpg  \n"," extracting: valid/BikesHelmets96_png.rf.449cd622aa71f5f53400fd5e1160f392.jpg  \n"," extracting: valid/_annotations.coco.json  \n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"4YaMhEAE3tbv"},"source":["# 2. Train"]},{"cell_type":"markdown","metadata":{"id":"3o76HGZFZZuf"},"source":["_Note that this section is based on the [MobileNetSSDv2 Notebook](https://colab.research.google.com/drive/1wTMIrJhYsQdq_u7ROOkf0Lu_fsX5Mu8a). This is because TensorFlow Lite is independent of the model used, so we're picking a simple and lightweight solution._"]},{"cell_type":"markdown","metadata":{"id":"yhzxsJb3dpWq"},"source":["## Configs and Hyperparameters\n","\n","Support a variety of models, you can find more pretrained model from [Tensorflow detection model zoo: COCO-trained models](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#coco-trained-models), as well as their pipline config files in [object_detection/samples/configs/](https://github.com/tensorflow/models/tree/master/research/object_detection/samples/configs)."]},{"cell_type":"code","metadata":{"id":"gnNXNQCjdniL"},"source":["# If you forked the repo, you can replace the link.\n","repo_url = 'https://github.com/roboflow-ai/tensorflow-object-detection-faster-rcnn'\n","\n","# Number of training steps - 1000 will train very quickly, but more steps will increase accuracy.\n","num_steps = 100000  # 200000 to improve\n","\n","# Number of evaluation steps.\n","num_eval_steps = 50\n","\n","MODELS_CONFIG = {\n","    'ssd_mobilenet_v2': {\n","        'model_name': 'ssd_mobilenet_v2_coco_2018_03_29',\n","        'pipeline_file': 'ssd_mobilenet_v2_coco.config',\n","        'batch_size': 12\n","    },\n","    'faster_rcnn_inception_v2': {\n","        'model_name': 'faster_rcnn_inception_v2_coco_2018_01_28',\n","        'pipeline_file': 'faster_rcnn_inception_v2_pets.config',\n","        'batch_size': 12\n","    },\n","    'rfcn_resnet101': {\n","        'model_name': 'rfcn_resnet101_coco_2018_01_28',\n","        'pipeline_file': 'rfcn_resnet101_pets.config',\n","        'batch_size': 8\n","    },    \n","}\n","\n","# Pick the model you want to use\n","# Select a model in `MODELS_CONFIG`.\n","selected_model = 'ssd_mobilenet_v2'\n","\n","# Name of the object detection model to use.\n","MODEL = MODELS_CONFIG[selected_model]['model_name']\n","\n","# Name of the pipline file in tensorflow object detection API.\n","pipeline_file = MODELS_CONFIG[selected_model]['pipeline_file']\n","\n","# Training batch size fits in Colabe's Tesla K80 GPU memory for selected model.\n","batch_size = MODELS_CONFIG[selected_model]['batch_size']"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"DL8oRGC5UgMO","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249833707,"user_tz":-540,"elapsed":1400,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"0dd95318-530b-46de-9b85-2061d2605214"},"source":["# use TF 1.x for Object Detection APIs as they are not ported to TF 2.0 yet\n","%tensorflow_version 1.x"],"execution_count":null,"outputs":[{"output_type":"stream","text":["TensorFlow 1.x selected.\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"w4V-XE6kbkc1"},"source":["## Clone the `tensorflow-object-detection` repository or your fork."]},{"cell_type":"code","metadata":{"id":"dxc3DmvLQF3z","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249836889,"user_tz":-540,"elapsed":4569,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"dfedbfa4-5239-4412-9ef8-48b4af413334"},"source":["import os\n","\n","%cd /content\n","\n","repo_dir_path = os.path.abspath(os.path.join('.', os.path.basename(repo_url)))\n","\n","!git clone {repo_url}\n","%cd {repo_dir_path}\n","!git pull"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content\n","Cloning into 'tensorflow-object-detection-faster-rcnn'...\n","remote: Enumerating objects: 885, done.\u001b[K\n","remote: Total 885 (delta 0), reused 0 (delta 0), pack-reused 885\u001b[K\n","Receiving objects: 100% (885/885), 24.83 MiB | 31.91 MiB/s, done.\n","Resolving deltas: 100% (428/428), done.\n","/content/tensorflow-object-detection-faster-rcnn\n","Already up to date.\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"bI8__uNS8-ns"},"source":["## Install required packages"]},{"cell_type":"code","metadata":{"id":"ecpHEnka8Kix","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249885813,"user_tz":-540,"elapsed":53480,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"6b9b3c32-f941-4b83-a034-8f3dd9df9920"},"source":["%cd /content\n","!git clone --quiet https://github.com/tensorflow/models.git\n","\n","!pip install tf_slim\n","\n","!apt-get install -qq protobuf-compiler python-pil python-lxml python-tk\n","\n","!pip install -q Cython contextlib2 pillow lxml matplotlib\n","\n","!pip install -q pycocotools\n","\n","%cd /content/models/research\n","!protoc object_detection/protos/*.proto --python_out=.\n","\n","import os\n","os.environ['PYTHONPATH'] += ':/content/models/research/:/content/models/research/slim/'\n","\n","!python object_detection/builders/model_builder_test.py"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content\n","Collecting tf_slim\n","\u001b[?25l  Downloading https://files.pythonhosted.org/packages/02/97/b0f4a64df018ca018cc035d44f2ef08f91e2e8aa67271f6f19633a015ff7/tf_slim-1.1.0-py2.py3-none-any.whl (352kB)\n","\u001b[K     |████████████████████████████████| 358kB 7.5MB/s \n","\u001b[?25hRequirement already satisfied: absl-py>=0.2.2 in /usr/local/lib/python3.7/dist-packages (from tf_slim) (0.10.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from absl-py>=0.2.2->tf_slim) (1.15.0)\n","Installing collected packages: tf-slim\n","Successfully installed tf-slim-1.1.0\n","Selecting previously unselected package python-bs4.\n","(Reading database ... 160975 files and directories currently installed.)\n","Preparing to unpack .../0-python-bs4_4.6.0-1_all.deb ...\n","Unpacking python-bs4 (4.6.0-1) ...\n","Selecting previously unselected package python-pkg-resources.\n","Preparing to unpack .../1-python-pkg-resources_39.0.1-2_all.deb ...\n","Unpacking python-pkg-resources (39.0.1-2) ...\n","Selecting previously unselected package python-chardet.\n","Preparing to unpack .../2-python-chardet_3.0.4-1_all.deb ...\n","Unpacking python-chardet (3.0.4-1) ...\n","Selecting previously unselected package python-six.\n","Preparing to unpack .../3-python-six_1.11.0-2_all.deb ...\n","Unpacking python-six (1.11.0-2) ...\n","Selecting previously unselected package python-webencodings.\n","Preparing to unpack .../4-python-webencodings_0.5-2_all.deb ...\n","Unpacking python-webencodings (0.5-2) ...\n","Selecting previously unselected package python-html5lib.\n","Preparing to unpack .../5-python-html5lib_0.999999999-1_all.deb ...\n","Unpacking python-html5lib (0.999999999-1) ...\n","Selecting previously unselected package python-lxml:amd64.\n","Preparing to unpack .../6-python-lxml_4.2.1-1ubuntu0.3_amd64.deb ...\n","Unpacking python-lxml:amd64 (4.2.1-1ubuntu0.3) ...\n","Selecting previously unselected package python-olefile.\n","Preparing to unpack .../7-python-olefile_0.45.1-1_all.deb ...\n","Unpacking python-olefile (0.45.1-1) ...\n","Selecting previously unselected package python-pil:amd64.\n","Preparing to unpack .../8-python-pil_5.1.0-1ubuntu0.4_amd64.deb ...\n","Unpacking python-pil:amd64 (5.1.0-1ubuntu0.4) ...\n","Setting up python-pkg-resources (39.0.1-2) ...\n","Setting up python-six (1.11.0-2) ...\n","Setting up python-bs4 (4.6.0-1) ...\n","Setting up python-lxml:amd64 (4.2.1-1ubuntu0.3) ...\n","Setting up python-olefile (0.45.1-1) ...\n","Setting up python-pil:amd64 (5.1.0-1ubuntu0.4) ...\n","Setting up python-webencodings (0.5-2) ...\n","Setting up python-chardet (3.0.4-1) ...\n","Setting up python-html5lib (0.999999999-1) ...\n","Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n","/content/models/research\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"u-k7uGThXlny"},"source":["## Prepare `tfrecord` files\n","\n","Roboflow automatically creates our TFRecord and label_map files that we need!\n","\n","**Generating your own TFRecords the only step you need to change for your own custom dataset.**\n","\n","Because we need one TFRecord file for our training data, and one TFRecord file for our test data, we'll create two separate datasets in Roboflow and generate one set of TFRecords for each.\n","\n","To create a dataset in Roboflow and generate TFRecords, follow [this step-by-step guide](https://blog.roboflow.ai/getting-started-with-roboflow/)."]},{"cell_type":"code","metadata":{"id":"GNfIPc5yxDOv","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249885815,"user_tz":-540,"elapsed":53469,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"5e3d4e2d-9559-46fd-b715-3d642ad957a8"},"source":["%cd /content/tensorflow-object-detection-faster-rcnn/data"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content/tensorflow-object-detection-faster-rcnn/data\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"xg1rceVtTFaA"},"source":["!cp -r /content/train/train/ /content/tensorflow-object-detection-faster-rcnn/data/\n","!cp -r /content/train/test/ /content/tensorflow-object-detection-faster-rcnn/data/"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"m6qI1uVamksZ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249886197,"user_tz":-540,"elapsed":53835,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"7e798f33-eb90-4f58-9ffe-e2f91952ee0f"},"source":["# training set\n","%ls train"],"execution_count":null,"outputs":[{"output_type":"stream","text":["with-helmet_label_map.pbtxt  with-helmet.tfrecord\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"zEKOjMejmm9U","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249886198,"user_tz":-540,"elapsed":53825,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"6d08dc17-a5b9-41a5-b671-1a1a836e969d"},"source":["# test set\n","%ls test"],"execution_count":null,"outputs":[{"output_type":"stream","text":["with-helmet_label_map.pbtxt  with-helmet.tfrecord\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tgd-fzAIkZlV"},"source":["# NOTE: Update these TFRecord names from \"cells\" and \"cells_label_map\" to your files!\n","test_record_fname = '/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord'\n","train_record_fname = '/content/tensorflow-object-detection-faster-rcnn/data/train/with-helmet.tfrecord'\n","label_map_pbtxt_fname = '/content/tensorflow-object-detection-faster-rcnn/data/train/with-helmet_label_map.pbtxt'"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"iCNYAaC7w6N8"},"source":["## Download base model"]},{"cell_type":"code","metadata":{"id":"orDCj6ihgUMR","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249890174,"user_tz":-540,"elapsed":57786,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"b379c8c1-c1be-4c6e-f7bb-de66f044eb22"},"source":["%cd /content/models/research\n","\n","import os\n","import shutil\n","import glob\n","import urllib.request\n","import tarfile\n","MODEL_FILE = MODEL + '.tar.gz'\n","DOWNLOAD_BASE = 'http://download.tensorflow.org/models/object_detection/'\n","DEST_DIR = '/content/models/research/pretrained_model'\n","\n","if not (os.path.exists(MODEL_FILE)):\n","    urllib.request.urlretrieve(DOWNLOAD_BASE + MODEL_FILE, MODEL_FILE)\n","\n","tar = tarfile.open(MODEL_FILE)\n","tar.extractall()\n","tar.close()\n","\n","os.remove(MODEL_FILE)\n","if (os.path.exists(DEST_DIR)):\n","    shutil.rmtree(DEST_DIR)\n","os.rename(MODEL, DEST_DIR)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content/models/research\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"pGhvAObeiIix","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249890175,"user_tz":-540,"elapsed":57775,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"f1f6b170-9f20-4ddb-a912-ca4fd70d36c6"},"source":["!echo {DEST_DIR}\n","!ls -alh {DEST_DIR}"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/content/models/research/pretrained_model\n","total 135M\n","drwxr-xr-x  3 345018 89939 4.0K Mar 30  2018 .\n","drwxr-xr-x 24 root   root  4.0K Mar  9 00:31 ..\n","-rw-r--r--  1 345018 89939   77 Mar 30  2018 checkpoint\n","-rw-r--r--  1 345018 89939  67M Mar 30  2018 frozen_inference_graph.pb\n","-rw-r--r--  1 345018 89939  65M Mar 30  2018 model.ckpt.data-00000-of-00001\n","-rw-r--r--  1 345018 89939  15K Mar 30  2018 model.ckpt.index\n","-rw-r--r--  1 345018 89939 3.4M Mar 30  2018 model.ckpt.meta\n","-rw-r--r--  1 345018 89939 4.2K Mar 30  2018 pipeline.config\n","drwxr-xr-x  3 345018 89939 4.0K Mar 30  2018 saved_model\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"UHnxlfRznPP3","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1615249890556,"user_tz":-540,"elapsed":58143,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"c76c685c-5909-46c6-c9ac-828f2dd14a31"},"source":["fine_tune_checkpoint = os.path.join(DEST_DIR, \"model.ckpt\")\n","fine_tune_checkpoint"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'/content/models/research/pretrained_model/model.ckpt'"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"markdown","metadata":{"id":"MvwtHlLOeRJD"},"source":["## Configuring a Training Pipeline"]},{"cell_type":"code","metadata":{"id":"dIhw7IdpLuiU"},"source":["import os\n","pipeline_fname = os.path.join('/content/models/research/object_detection/samples/configs/', pipeline_file)\n","\n","assert os.path.isfile(pipeline_fname), '`{}` not exist'.format(pipeline_fname)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"fG1nCNpUXcRU"},"source":["def get_num_classes(pbtxt_fname):\n","    from object_detection.utils import label_map_util\n","    label_map = label_map_util.load_labelmap(pbtxt_fname)\n","    categories = label_map_util.convert_label_map_to_categories(\n","        label_map, max_num_classes=90, use_display_name=True)\n","    category_index = label_map_util.create_category_index(categories)\n","    return len(category_index.keys())"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"YjtCbLF2i0wI"},"source":["import re\n","\n","num_classes = get_num_classes(label_map_pbtxt_fname)\n","with open(pipeline_fname) as f:\n","    s = f.read()\n","with open(pipeline_fname, 'w') as f:\n","    \n","    # fine_tune_checkpoint\n","    s = re.sub('fine_tune_checkpoint: \".*?\"',\n","               'fine_tune_checkpoint: \"{}\"'.format(fine_tune_checkpoint), s)\n","    \n","    # tfrecord files train and test.\n","    s = re.sub(\n","        '(input_path: \".*?)(train.record)(.*?\")', 'input_path: \"{}\"'.format(train_record_fname), s)\n","    s = re.sub(\n","        '(input_path: \".*?)(val.record)(.*?\")', 'input_path: \"{}\"'.format(test_record_fname), s)\n","\n","    # label_map_path\n","    s = re.sub(\n","        'label_map_path: \".*?\"', 'label_map_path: \"{}\"'.format(label_map_pbtxt_fname), s)\n","\n","    # Set training batch_size.\n","    s = re.sub('batch_size: [0-9]+',\n","               'batch_size: {}'.format(batch_size), s)\n","\n","    # Set training steps, num_steps\n","    s = re.sub('num_steps: [0-9]+',\n","               'num_steps: {}'.format(num_steps), s)\n","    \n","    # Set number of classes num_classes.\n","    s = re.sub('num_classes: [0-9]+',\n","               'num_classes: {}'.format(num_classes), s)\n","    f.write(s)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"GH0MEEanocn6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249891696,"user_tz":-540,"elapsed":59260,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"a1af3b07-806e-490f-d942-d9298214a36a"},"source":["!cat {pipeline_fname}"],"execution_count":null,"outputs":[{"output_type":"stream","text":["# SSD with Mobilenet v2 configuration for MSCOCO Dataset.\n","# Users should configure the fine_tune_checkpoint field in the train config as\n","# well as the label_map_path and input_path fields in the train_input_reader and\n","# eval_input_reader. Search for \"PATH_TO_BE_CONFIGURED\" to find the fields that\n","# should be configured.\n","\n","model {\n","  ssd {\n","    num_classes: 2\n","    box_coder {\n","      faster_rcnn_box_coder {\n","        y_scale: 10.0\n","        x_scale: 10.0\n","        height_scale: 5.0\n","        width_scale: 5.0\n","      }\n","    }\n","    matcher {\n","      argmax_matcher {\n","        matched_threshold: 0.5\n","        unmatched_threshold: 0.5\n","        ignore_thresholds: false\n","        negatives_lower_than_unmatched: true\n","        force_match_for_each_row: true\n","      }\n","    }\n","    similarity_calculator {\n","      iou_similarity {\n","      }\n","    }\n","    anchor_generator {\n","      ssd_anchor_generator {\n","        num_layers: 6\n","        min_scale: 0.2\n","        max_scale: 0.95\n","        aspect_ratios: 1.0\n","        aspect_ratios: 2.0\n","        aspect_ratios: 0.5\n","        aspect_ratios: 3.0\n","        aspect_ratios: 0.3333\n","      }\n","    }\n","    image_resizer {\n","      fixed_shape_resizer {\n","        height: 300\n","        width: 300\n","      }\n","    }\n","    box_predictor {\n","      convolutional_box_predictor {\n","        min_depth: 0\n","        max_depth: 0\n","        num_layers_before_predictor: 0\n","        use_dropout: false\n","        dropout_keep_probability: 0.8\n","        kernel_size: 1\n","        box_code_size: 4\n","        apply_sigmoid_to_scores: false\n","        conv_hyperparams {\n","          activation: RELU_6,\n","          regularizer {\n","            l2_regularizer {\n","              weight: 0.00004\n","            }\n","          }\n","          initializer {\n","            truncated_normal_initializer {\n","              stddev: 0.03\n","              mean: 0.0\n","            }\n","          }\n","          batch_norm {\n","            train: true,\n","            scale: true,\n","            center: true,\n","            decay: 0.9997,\n","            epsilon: 0.001,\n","          }\n","        }\n","      }\n","    }\n","    feature_extractor {\n","      type: 'ssd_mobilenet_v2'\n","      min_depth: 16\n","      depth_multiplier: 1.0\n","      conv_hyperparams {\n","        activation: RELU_6,\n","        regularizer {\n","          l2_regularizer {\n","            weight: 0.00004\n","          }\n","        }\n","        initializer {\n","          truncated_normal_initializer {\n","            stddev: 0.03\n","            mean: 0.0\n","          }\n","        }\n","        batch_norm {\n","          train: true,\n","          scale: true,\n","          center: true,\n","          decay: 0.9997,\n","          epsilon: 0.001,\n","        }\n","      }\n","    }\n","    loss {\n","      classification_loss {\n","        weighted_sigmoid {\n","        }\n","      }\n","      localization_loss {\n","        weighted_smooth_l1 {\n","        }\n","      }\n","      hard_example_miner {\n","        num_hard_examples: 3000\n","        iou_threshold: 0.99\n","        loss_type: CLASSIFICATION\n","        max_negatives_per_positive: 3\n","        min_negatives_per_image: 3\n","      }\n","      classification_weight: 1.0\n","      localization_weight: 1.0\n","    }\n","    normalize_loss_by_num_matches: true\n","    post_processing {\n","      batch_non_max_suppression {\n","        score_threshold: 1e-8\n","        iou_threshold: 0.6\n","        max_detections_per_class: 100\n","        max_total_detections: 100\n","      }\n","      score_converter: SIGMOID\n","    }\n","  }\n","}\n","\n","train_config: {\n","  batch_size: 12\n","  optimizer {\n","    rms_prop_optimizer: {\n","      learning_rate: {\n","        exponential_decay_learning_rate {\n","          initial_learning_rate: 0.004\n","          decay_steps: 800720\n","          decay_factor: 0.95\n","        }\n","      }\n","      momentum_optimizer_value: 0.9\n","      decay: 0.9\n","      epsilon: 1.0\n","    }\n","  }\n","  fine_tune_checkpoint: \"/content/models/research/pretrained_model/model.ckpt\"\n","  fine_tune_checkpoint_type:  \"detection\"\n","  # Note: The below line limits the training process to 200K steps, which we\n","  # empirically found to be sufficient enough to train the pets dataset. This\n","  # effectively bypasses the learning rate schedule (the learning rate will\n","  # never decay). Remove the below line to train indefinitely.\n","  num_steps: 100000\n","  data_augmentation_options {\n","    random_horizontal_flip {\n","    }\n","  }\n","  data_augmentation_options {\n","    ssd_random_crop {\n","    }\n","  }\n","}\n","\n","train_input_reader: {\n","  tf_record_input_reader {\n","    input_path: \"/content/tensorflow-object-detection-faster-rcnn/data/train/with-helmet.tfrecord\"\n","  }\n","  label_map_path: \"/content/tensorflow-object-detection-faster-rcnn/data/train/with-helmet_label_map.pbtxt\"\n","}\n","\n","eval_config: {\n","  num_examples: 8000\n","  # Note: The below line limits the evaluation process to 10 evaluations.\n","  # Remove the below line to evaluate indefinitely.\n","  max_evals: 10\n","}\n","\n","eval_input_reader: {\n","  tf_record_input_reader {\n","    input_path: \"/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord\"\n","  }\n","  label_map_path: \"/content/tensorflow-object-detection-faster-rcnn/data/train/with-helmet_label_map.pbtxt\"\n","  shuffle: false\n","  num_readers: 1\n","}"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"f11w0uO3jFCB"},"source":["model_dir = 'training/'\n","# Optionally remove content in output model directory to fresh start.\n","!rm -rf {model_dir}\n","os.makedirs(model_dir, exist_ok=True)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"23TECXvNezIF"},"source":["## Run Tensorboard(Optional)"]},{"cell_type":"code","metadata":{"id":"0H2PZs-mSCmO","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249893243,"user_tz":-540,"elapsed":60790,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"11fe9cc4-34df-41ff-9821-952f0de47405"},"source":["!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n","!unzip -o ngrok-stable-linux-amd64.zip"],"execution_count":null,"outputs":[{"output_type":"stream","text":["--2021-03-09 00:31:50--  https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n","Resolving bin.equinox.io (bin.equinox.io)... 52.6.49.248, 54.145.36.98, 52.200.34.95, ...\n","Connecting to bin.equinox.io (bin.equinox.io)|52.6.49.248|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 13773305 (13M) [application/octet-stream]\n","Saving to: ‘ngrok-stable-linux-amd64.zip’\n","\n","ngrok-stable-linux- 100%[===================>]  13.13M  18.2MB/s    in 0.7s    \n","\n","2021-03-09 00:31:51 (18.2 MB/s) - ‘ngrok-stable-linux-amd64.zip’ saved [13773305/13773305]\n","\n","Archive:  ngrok-stable-linux-amd64.zip\n","  inflating: ngrok                   \n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"G8o6r1o5SC5M"},"source":["LOG_DIR = model_dir\n","get_ipython().system_raw(\n","    'tensorboard --logdir {} --host 0.0.0.0 --port 6006 &'\n","    .format(LOG_DIR)\n",")"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"Ge1OX7gcSC7S"},"source":["get_ipython().system_raw('./ngrok http 6006 &')"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"m5GSGxZNh8rp"},"source":["### Get Tensorboard link"]},{"cell_type":"code","metadata":{"id":"rjhPT9iPSJ6T","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615249893621,"user_tz":-540,"elapsed":61148,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"aeaef455-983c-4b4f-ff78-77e4591217a2"},"source":["! curl -s http://localhost:4040/api/tunnels | python3 -c \\\n","    \"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])\""],"execution_count":null,"outputs":[{"output_type":"stream","text":["Traceback (most recent call last):\n","  File \"<string>\", line 1, in <module>\n","IndexError: list index out of range\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1dgjmfphZAJk","executionInfo":{"status":"ok","timestamp":1615249897554,"user_tz":-540,"elapsed":65067,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"d323485e-8236-43d9-af55-8b24576b8241"},"source":["!pip install lvis"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Requirement already satisfied: lvis in /usr/local/lib/python3.7/dist-packages (0.5.3)\n","Requirement already satisfied: cycler>=0.10.0 in /usr/local/lib/python3.7/dist-packages (from lvis) (0.10.0)\n","Requirement already satisfied: opencv-python>=4.1.0.25 in /usr/local/lib/python3.7/dist-packages (from lvis) (4.1.2.30)\n","Requirement already satisfied: kiwisolver>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from lvis) (1.3.1)\n","Requirement already satisfied: Cython>=0.29.12 in /usr/local/lib/python3.7/dist-packages (from lvis) (0.29.22)\n","Requirement already satisfied: python-dateutil>=2.8.0 in /usr/local/lib/python3.7/dist-packages (from lvis) (2.8.1)\n","Requirement already satisfied: matplotlib>=3.1.1 in /usr/local/lib/python3.7/dist-packages (from lvis) (3.2.2)\n","Requirement already satisfied: numpy>=1.18.2 in /usr/local/lib/python3.7/dist-packages (from lvis) (1.19.5)\n","Requirement already satisfied: pyparsing>=2.4.0 in /usr/local/lib/python3.7/dist-packages (from lvis) (2.4.7)\n","Requirement already satisfied: six>=1.12.0 in /usr/local/lib/python3.7/dist-packages (from lvis) (1.15.0)\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"JDddx2rPfex9"},"source":["## Train the model"]},{"cell_type":"code","metadata":{"id":"CjDHjhKQofT5","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615270887060,"user_tz":-540,"elapsed":21054561,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"c88051ec-db3f-475f-957a-a2c14a17a79d"},"source":["!python /content/models/research/object_detection/model_main.py \\\n","    --pipeline_config_path={pipeline_fname} \\\n","    --model_dir={model_dir} \\\n","    --alsologtostderr \\\n","    --num_train_steps={num_steps} \\\n","    --num_eval_steps={num_eval_steps}"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\u001b[1;30;43m스트리밍 출력 내용이 길어서 마지막 5000줄이 삭제되었습니다.\u001b[0m\n","I0309 02:14:17.258456 139972636141440 basic_session_run_hooks.py:260] loss = 3.260095, step = 29100 (20.635 sec)\n","INFO:tensorflow:global_step/sec: 4.87251\n","I0309 02:14:37.780599 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87251\n","INFO:tensorflow:loss = 2.940271, step = 29200 (20.523 sec)\n","I0309 02:14:37.781843 139972636141440 basic_session_run_hooks.py:260] loss = 2.940271, step = 29200 (20.523 sec)\n","INFO:tensorflow:global_step/sec: 4.89637\n","I0309 02:14:58.203895 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89637\n","INFO:tensorflow:loss = 3.0201366, step = 29300 (20.423 sec)\n","I0309 02:14:58.204817 139972636141440 basic_session_run_hooks.py:260] loss = 3.0201366, step = 29300 (20.423 sec)\n","INFO:tensorflow:global_step/sec: 4.87271\n","I0309 02:15:18.726380 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87271\n","INFO:tensorflow:loss = 2.8019779, step = 29400 (20.523 sec)\n","I0309 02:15:18.727393 139972636141440 basic_session_run_hooks.py:260] loss = 2.8019779, step = 29400 (20.523 sec)\n","INFO:tensorflow:global_step/sec: 4.85392\n","I0309 02:15:39.328263 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85392\n","INFO:tensorflow:loss = 2.4583015, step = 29500 (20.602 sec)\n","I0309 02:15:39.329326 139972636141440 basic_session_run_hooks.py:260] loss = 2.4583015, step = 29500 (20.602 sec)\n","INFO:tensorflow:global_step/sec: 4.85106\n","I0309 02:15:59.942298 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85106\n","INFO:tensorflow:loss = 2.7413797, step = 29600 (20.614 sec)\n","I0309 02:15:59.943426 139972636141440 basic_session_run_hooks.py:260] loss = 2.7413797, step = 29600 (20.614 sec)\n","INFO:tensorflow:global_step/sec: 4.88649\n","I0309 02:16:20.406883 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88649\n","INFO:tensorflow:loss = 2.5938768, step = 29700 (20.465 sec)\n","I0309 02:16:20.408031 139972636141440 basic_session_run_hooks.py:260] loss = 2.5938768, step = 29700 (20.465 sec)\n","INFO:tensorflow:global_step/sec: 4.84248\n","I0309 02:16:41.057455 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84248\n","INFO:tensorflow:loss = 2.7210622, step = 29800 (20.651 sec)\n","I0309 02:16:41.058583 139972636141440 basic_session_run_hooks.py:260] loss = 2.7210622, step = 29800 (20.651 sec)\n","INFO:tensorflow:global_step/sec: 4.83707\n","I0309 02:17:01.731130 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83707\n","INFO:tensorflow:loss = 2.0462859, step = 29900 (20.674 sec)\n","I0309 02:17:01.732208 139972636141440 basic_session_run_hooks.py:260] loss = 2.0462859, step = 29900 (20.674 sec)\n","INFO:tensorflow:global_step/sec: 4.87293\n","I0309 02:17:22.252654 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87293\n","INFO:tensorflow:loss = 2.8104818, step = 30000 (20.521 sec)\n","I0309 02:17:22.253563 139972636141440 basic_session_run_hooks.py:260] loss = 2.8104818, step = 30000 (20.521 sec)\n","INFO:tensorflow:global_step/sec: 4.88299\n","I0309 02:17:42.731899 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88299\n","INFO:tensorflow:loss = 2.7508876, step = 30100 (20.479 sec)\n","I0309 02:17:42.732843 139972636141440 basic_session_run_hooks.py:260] loss = 2.7508876, step = 30100 (20.479 sec)\n","INFO:tensorflow:global_step/sec: 4.88533\n","I0309 02:18:03.201394 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88533\n","INFO:tensorflow:loss = 3.2776396, step = 30200 (20.469 sec)\n","I0309 02:18:03.202320 139972636141440 basic_session_run_hooks.py:260] loss = 3.2776396, step = 30200 (20.469 sec)\n","INFO:tensorflow:global_step/sec: 4.87805\n","I0309 02:18:23.701385 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87805\n","INFO:tensorflow:loss = 3.1920424, step = 30300 (20.500 sec)\n","I0309 02:18:23.702428 139972636141440 basic_session_run_hooks.py:260] loss = 3.1920424, step = 30300 (20.500 sec)\n","INFO:tensorflow:global_step/sec: 4.85857\n","I0309 02:18:44.283545 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85857\n","INFO:tensorflow:loss = 3.1867766, step = 30400 (20.583 sec)\n","I0309 02:18:44.285115 139972636141440 basic_session_run_hooks.py:260] loss = 3.1867766, step = 30400 (20.583 sec)\n","INFO:tensorflow:global_step/sec: 4.83694\n","I0309 02:19:04.957781 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83694\n","INFO:tensorflow:loss = 2.6159427, step = 30500 (20.674 sec)\n","I0309 02:19:04.958938 139972636141440 basic_session_run_hooks.py:260] loss = 2.6159427, step = 30500 (20.674 sec)\n","INFO:tensorflow:global_step/sec: 4.86396\n","I0309 02:19:25.517145 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86396\n","INFO:tensorflow:loss = 2.49934, step = 30600 (20.559 sec)\n","I0309 02:19:25.518180 139972636141440 basic_session_run_hooks.py:260] loss = 2.49934, step = 30600 (20.559 sec)\n","INFO:tensorflow:global_step/sec: 4.85855\n","I0309 02:19:46.099506 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85855\n","INFO:tensorflow:loss = 2.6054873, step = 30700 (20.583 sec)\n","I0309 02:19:46.100764 139972636141440 basic_session_run_hooks.py:260] loss = 2.6054873, step = 30700 (20.583 sec)\n","INFO:tensorflow:global_step/sec: 4.8587\n","I0309 02:20:06.681039 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8587\n","INFO:tensorflow:loss = 3.5144758, step = 30800 (20.581 sec)\n","I0309 02:20:06.682018 139972636141440 basic_session_run_hooks.py:260] loss = 3.5144758, step = 30800 (20.581 sec)\n","INFO:tensorflow:global_step/sec: 4.83713\n","I0309 02:20:27.354481 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83713\n","INFO:tensorflow:loss = 2.4235845, step = 30900 (20.673 sec)\n","I0309 02:20:27.355429 139972636141440 basic_session_run_hooks.py:260] loss = 2.4235845, step = 30900 (20.673 sec)\n","INFO:tensorflow:global_step/sec: 4.85146\n","I0309 02:20:47.966836 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85146\n","INFO:tensorflow:loss = 3.1348274, step = 31000 (20.613 sec)\n","I0309 02:20:47.968201 139972636141440 basic_session_run_hooks.py:260] loss = 3.1348274, step = 31000 (20.613 sec)\n","INFO:tensorflow:global_step/sec: 4.85654\n","I0309 02:21:08.557667 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85654\n","INFO:tensorflow:loss = 4.598067, step = 31100 (20.591 sec)\n","I0309 02:21:08.559128 139972636141440 basic_session_run_hooks.py:260] loss = 4.598067, step = 31100 (20.591 sec)\n","INFO:tensorflow:global_step/sec: 4.82853\n","I0309 02:21:29.267952 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82853\n","INFO:tensorflow:loss = 2.4463072, step = 31200 (20.710 sec)\n","I0309 02:21:29.268985 139972636141440 basic_session_run_hooks.py:260] loss = 2.4463072, step = 31200 (20.710 sec)\n","INFO:tensorflow:global_step/sec: 4.85953\n","I0309 02:21:49.845989 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85953\n","INFO:tensorflow:loss = 2.342978, step = 31300 (20.578 sec)\n","I0309 02:21:49.846906 139972636141440 basic_session_run_hooks.py:260] loss = 2.342978, step = 31300 (20.578 sec)\n","INFO:tensorflow:global_step/sec: 4.8324\n","I0309 02:22:10.539715 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8324\n","INFO:tensorflow:loss = 2.0711632, step = 31400 (20.694 sec)\n","I0309 02:22:10.540846 139972636141440 basic_session_run_hooks.py:260] loss = 2.0711632, step = 31400 (20.694 sec)\n","INFO:tensorflow:global_step/sec: 4.7917\n","I0309 02:22:31.409073 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.7917\n","INFO:tensorflow:loss = 3.4152114, step = 31500 (20.869 sec)\n","I0309 02:22:31.410201 139972636141440 basic_session_run_hooks.py:260] loss = 3.4152114, step = 31500 (20.869 sec)\n","INFO:tensorflow:Saving checkpoints for 31539 into training/model.ckpt.\n","I0309 02:22:39.267896 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 31539 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:22:40.540175 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:22:40.540806 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 02:22:40.540942 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3cb6e510>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 02:22:40.577522 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3cb6e510>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3c69b050> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 02:22:40.738490 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3c69b050> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 02:22:41.240835 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:22:43.454206 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:22:43.483467 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:22:43.513951 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:22:43.543840 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:22:43.577142 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:22:43.604952 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 02:22:44.890725 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T02:22:44Z\n","I0309 02:22:44.906122 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T02:22:44Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 02:22:45.275779 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 02:22:45.276477: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:22:45.277013: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 02:22:45.277257: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 02:22:45.277298: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 02:22:45.277324: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 02:22:45.277346: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 02:22:45.277368: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 02:22:45.277389: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 02:22:45.277410: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 02:22:45.277505: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:22:45.277982: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:22:45.278390: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 02:22:45.278435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 02:22:45.278449: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 02:22:45.278459: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 02:22:45.278581: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:22:45.279068: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:22:45.279539: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-31539\n","I0309 02:22:45.280589 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-31539\n","INFO:tensorflow:Running local_init_op.\n","I0309 02:22:46.148262 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 02:22:46.278596 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 02:22:49.780802 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 02:22:49.781412 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 02:22:49.786361 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.52s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.128\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.329\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.070\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.015\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.167\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.531\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.155\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.239\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.274\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.061\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.345\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.633\n","INFO:tensorflow:Finished evaluation at 2021-03-09-02:22:50\n","I0309 02:22:50.643615 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-02:22:50\n","INFO:tensorflow:Saving dict for global step 31539: DetectionBoxes_Precision/mAP = 0.1276791, DetectionBoxes_Precision/mAP (large) = 0.53130203, DetectionBoxes_Precision/mAP (medium) = 0.16667536, DetectionBoxes_Precision/mAP (small) = 0.015041459, DetectionBoxes_Precision/mAP@.50IOU = 0.32910213, DetectionBoxes_Precision/mAP@.75IOU = 0.07039327, DetectionBoxes_Recall/AR@1 = 0.15495315, DetectionBoxes_Recall/AR@10 = 0.23945783, DetectionBoxes_Recall/AR@100 = 0.2741466, DetectionBoxes_Recall/AR@100 (large) = 0.6333333, DetectionBoxes_Recall/AR@100 (medium) = 0.34506264, DetectionBoxes_Recall/AR@100 (small) = 0.060897436, Loss/classification_loss = 8.71606, Loss/localization_loss = 1.5843501, Loss/regularization_loss = 0.34414807, Loss/total_loss = 10.644557, global_step = 31539, learning_rate = 0.004, loss = 10.644557\n","I0309 02:22:50.643943 139972636141440 estimator.py:2049] Saving dict for global step 31539: DetectionBoxes_Precision/mAP = 0.1276791, DetectionBoxes_Precision/mAP (large) = 0.53130203, DetectionBoxes_Precision/mAP (medium) = 0.16667536, DetectionBoxes_Precision/mAP (small) = 0.015041459, DetectionBoxes_Precision/mAP@.50IOU = 0.32910213, DetectionBoxes_Precision/mAP@.75IOU = 0.07039327, DetectionBoxes_Recall/AR@1 = 0.15495315, DetectionBoxes_Recall/AR@10 = 0.23945783, DetectionBoxes_Recall/AR@100 = 0.2741466, DetectionBoxes_Recall/AR@100 (large) = 0.6333333, DetectionBoxes_Recall/AR@100 (medium) = 0.34506264, DetectionBoxes_Recall/AR@100 (small) = 0.060897436, Loss/classification_loss = 8.71606, Loss/localization_loss = 1.5843501, Loss/regularization_loss = 0.34414807, Loss/total_loss = 10.644557, global_step = 31539, learning_rate = 0.004, loss = 10.644557\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 31539: training/model.ckpt-31539\n","I0309 02:22:50.647977 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 31539: training/model.ckpt-31539\n","INFO:tensorflow:global_step/sec: 3.11795\n","I0309 02:23:03.481403 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.11795\n","INFO:tensorflow:loss = 2.2959344, step = 31600 (32.072 sec)\n","I0309 02:23:03.482437 139972636141440 basic_session_run_hooks.py:260] loss = 2.2959344, step = 31600 (32.072 sec)\n","INFO:tensorflow:global_step/sec: 4.83537\n","I0309 02:23:24.162379 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83537\n","INFO:tensorflow:loss = 2.4660528, step = 31700 (20.681 sec)\n","I0309 02:23:24.163418 139972636141440 basic_session_run_hooks.py:260] loss = 2.4660528, step = 31700 (20.681 sec)\n","INFO:tensorflow:global_step/sec: 4.80154\n","I0309 02:23:44.989013 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.80154\n","INFO:tensorflow:loss = 2.417762, step = 31800 (20.827 sec)\n","I0309 02:23:44.990158 139972636141440 basic_session_run_hooks.py:260] loss = 2.417762, step = 31800 (20.827 sec)\n","INFO:tensorflow:global_step/sec: 4.86599\n","I0309 02:24:05.539791 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86599\n","INFO:tensorflow:loss = 2.496273, step = 31900 (20.551 sec)\n","I0309 02:24:05.540896 139972636141440 basic_session_run_hooks.py:260] loss = 2.496273, step = 31900 (20.551 sec)\n","INFO:tensorflow:global_step/sec: 4.86918\n","I0309 02:24:26.077132 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86918\n","INFO:tensorflow:loss = 2.7272751, step = 32000 (20.537 sec)\n","I0309 02:24:26.078248 139972636141440 basic_session_run_hooks.py:260] loss = 2.7272751, step = 32000 (20.537 sec)\n","INFO:tensorflow:global_step/sec: 4.83757\n","I0309 02:24:46.748667 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83757\n","INFO:tensorflow:loss = 2.327218, step = 32100 (20.671 sec)\n","I0309 02:24:46.749593 139972636141440 basic_session_run_hooks.py:260] loss = 2.327218, step = 32100 (20.671 sec)\n","INFO:tensorflow:global_step/sec: 4.87877\n","I0309 02:25:07.245625 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87877\n","INFO:tensorflow:loss = 5.058042, step = 32200 (20.497 sec)\n","I0309 02:25:07.246759 139972636141440 basic_session_run_hooks.py:260] loss = 5.058042, step = 32200 (20.497 sec)\n","INFO:tensorflow:global_step/sec: 4.85394\n","I0309 02:25:27.847442 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85394\n","INFO:tensorflow:loss = 5.3046746, step = 32300 (20.602 sec)\n","I0309 02:25:27.848365 139972636141440 basic_session_run_hooks.py:260] loss = 5.3046746, step = 32300 (20.602 sec)\n","INFO:tensorflow:global_step/sec: 4.84368\n","I0309 02:25:48.492901 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84368\n","INFO:tensorflow:loss = 2.593476, step = 32400 (20.646 sec)\n","I0309 02:25:48.494052 139972636141440 basic_session_run_hooks.py:260] loss = 2.593476, step = 32400 (20.646 sec)\n","INFO:tensorflow:global_step/sec: 4.85182\n","I0309 02:26:09.103697 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85182\n","INFO:tensorflow:loss = 1.9968517, step = 32500 (20.611 sec)\n","I0309 02:26:09.104605 139972636141440 basic_session_run_hooks.py:260] loss = 1.9968517, step = 32500 (20.611 sec)\n","INFO:tensorflow:global_step/sec: 4.83629\n","I0309 02:26:29.780702 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83629\n","INFO:tensorflow:loss = 2.9185133, step = 32600 (20.677 sec)\n","I0309 02:26:29.781641 139972636141440 basic_session_run_hooks.py:260] loss = 2.9185133, step = 32600 (20.677 sec)\n","INFO:tensorflow:global_step/sec: 4.89939\n","I0309 02:26:50.191408 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89939\n","INFO:tensorflow:loss = 2.3790839, step = 32700 (20.411 sec)\n","I0309 02:26:50.192379 139972636141440 basic_session_run_hooks.py:260] loss = 2.3790839, step = 32700 (20.411 sec)\n","INFO:tensorflow:global_step/sec: 4.89341\n","I0309 02:27:10.627051 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89341\n","INFO:tensorflow:loss = 2.5920062, step = 32800 (20.436 sec)\n","I0309 02:27:10.627995 139972636141440 basic_session_run_hooks.py:260] loss = 2.5920062, step = 32800 (20.436 sec)\n","INFO:tensorflow:global_step/sec: 4.83046\n","I0309 02:27:31.329022 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83046\n","INFO:tensorflow:loss = 2.1500897, step = 32900 (20.702 sec)\n","I0309 02:27:31.330159 139972636141440 basic_session_run_hooks.py:260] loss = 2.1500897, step = 32900 (20.702 sec)\n","INFO:tensorflow:global_step/sec: 4.85949\n","I0309 02:27:51.907303 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85949\n","INFO:tensorflow:loss = 2.233445, step = 33000 (20.578 sec)\n","I0309 02:27:51.908280 139972636141440 basic_session_run_hooks.py:260] loss = 2.233445, step = 33000 (20.578 sec)\n","INFO:tensorflow:global_step/sec: 4.81256\n","I0309 02:28:12.686247 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81256\n","INFO:tensorflow:loss = 3.617031, step = 33100 (20.779 sec)\n","I0309 02:28:12.687362 139972636141440 basic_session_run_hooks.py:260] loss = 3.617031, step = 33100 (20.779 sec)\n","INFO:tensorflow:global_step/sec: 4.85398\n","I0309 02:28:33.287906 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85398\n","INFO:tensorflow:loss = 3.9607618, step = 33200 (20.602 sec)\n","I0309 02:28:33.288974 139972636141440 basic_session_run_hooks.py:260] loss = 3.9607618, step = 33200 (20.602 sec)\n","INFO:tensorflow:global_step/sec: 4.82269\n","I0309 02:28:54.023237 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82269\n","INFO:tensorflow:loss = 3.174349, step = 33300 (20.735 sec)\n","I0309 02:28:54.024257 139972636141440 basic_session_run_hooks.py:260] loss = 3.174349, step = 33300 (20.735 sec)\n","INFO:tensorflow:global_step/sec: 4.82186\n","I0309 02:29:14.762125 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82186\n","INFO:tensorflow:loss = 3.1880214, step = 33400 (20.739 sec)\n","I0309 02:29:14.763530 139972636141440 basic_session_run_hooks.py:260] loss = 3.1880214, step = 33400 (20.739 sec)\n","INFO:tensorflow:global_step/sec: 4.7908\n","I0309 02:29:35.635410 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.7908\n","INFO:tensorflow:loss = 2.2815824, step = 33500 (20.873 sec)\n","I0309 02:29:35.636475 139972636141440 basic_session_run_hooks.py:260] loss = 2.2815824, step = 33500 (20.873 sec)\n","INFO:tensorflow:global_step/sec: 4.85045\n","I0309 02:29:56.252043 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85045\n","INFO:tensorflow:loss = 2.2820885, step = 33600 (20.617 sec)\n","I0309 02:29:56.253126 139972636141440 basic_session_run_hooks.py:260] loss = 2.2820885, step = 33600 (20.617 sec)\n","INFO:tensorflow:global_step/sec: 4.82786\n","I0309 02:30:16.965169 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82786\n","INFO:tensorflow:loss = 2.9624724, step = 33700 (20.713 sec)\n","I0309 02:30:16.966042 139972636141440 basic_session_run_hooks.py:260] loss = 2.9624724, step = 33700 (20.713 sec)\n","INFO:tensorflow:global_step/sec: 4.83609\n","I0309 02:30:37.643048 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83609\n","INFO:tensorflow:loss = 3.9389677, step = 33800 (20.678 sec)\n","I0309 02:30:37.644231 139972636141440 basic_session_run_hooks.py:260] loss = 3.9389677, step = 33800 (20.678 sec)\n","INFO:tensorflow:global_step/sec: 4.83472\n","I0309 02:30:58.326754 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83472\n","INFO:tensorflow:loss = 2.8766148, step = 33900 (20.684 sec)\n","I0309 02:30:58.327914 139972636141440 basic_session_run_hooks.py:260] loss = 2.8766148, step = 33900 (20.684 sec)\n","INFO:tensorflow:global_step/sec: 4.81499\n","I0309 02:31:19.095249 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81499\n","INFO:tensorflow:loss = 2.813463, step = 34000 (20.768 sec)\n","I0309 02:31:19.096267 139972636141440 basic_session_run_hooks.py:260] loss = 2.813463, step = 34000 (20.768 sec)\n","INFO:tensorflow:global_step/sec: 4.84971\n","I0309 02:31:39.715025 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84971\n","INFO:tensorflow:loss = 3.098439, step = 34100 (20.620 sec)\n","I0309 02:31:39.716292 139972636141440 basic_session_run_hooks.py:260] loss = 3.098439, step = 34100 (20.620 sec)\n","INFO:tensorflow:global_step/sec: 4.85001\n","I0309 02:32:00.333540 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85001\n","INFO:tensorflow:loss = 3.169435, step = 34200 (20.618 sec)\n","I0309 02:32:00.334661 139972636141440 basic_session_run_hooks.py:260] loss = 3.169435, step = 34200 (20.618 sec)\n","INFO:tensorflow:global_step/sec: 4.7922\n","I0309 02:32:21.200778 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.7922\n","INFO:tensorflow:loss = 2.5393064, step = 34300 (20.867 sec)\n","I0309 02:32:21.202042 139972636141440 basic_session_run_hooks.py:260] loss = 2.5393064, step = 34300 (20.867 sec)\n","INFO:tensorflow:Saving checkpoints for 34388 into training/model.ckpt.\n","I0309 02:32:39.312928 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 34388 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:32:40.593910 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:32:40.594478 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 02:32:40.594624 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4ce6302590>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 02:32:40.633345 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4ce6302590>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3c997ef0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 02:32:40.797913 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3c997ef0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 02:32:41.282494 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:32:43.246102 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:32:43.274591 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:32:43.303097 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:32:43.331002 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:32:43.358662 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:32:43.387168 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 02:32:44.994064 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T02:32:45Z\n","I0309 02:32:45.009555 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T02:32:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 02:32:45.396036 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 02:32:45.396804: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:32:45.397335: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 02:32:45.397443: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 02:32:45.397483: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 02:32:45.397523: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 02:32:45.397548: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 02:32:45.397569: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 02:32:45.397590: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 02:32:45.397611: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 02:32:45.397706: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:32:45.398187: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:32:45.398633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 02:32:45.398748: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 02:32:45.398764: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 02:32:45.398774: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 02:32:45.398885: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:32:45.399351: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:32:45.399788: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-34388\n","I0309 02:32:45.400765 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-34388\n","INFO:tensorflow:Running local_init_op.\n","I0309 02:32:46.328123 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 02:32:46.476421 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 02:32:50.161771 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 02:32:50.162292 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 02:32:50.167057 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.53s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.100\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.290\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.055\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.009\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.141\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.542\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.130\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.254\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.306\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.088\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.376\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.667\n","INFO:tensorflow:Finished evaluation at 2021-03-09-02:32:51\n","I0309 02:32:51.036236 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-02:32:51\n","INFO:tensorflow:Saving dict for global step 34388: DetectionBoxes_Precision/mAP = 0.10002041, DetectionBoxes_Precision/mAP (large) = 0.54179496, DetectionBoxes_Precision/mAP (medium) = 0.14088632, DetectionBoxes_Precision/mAP (small) = 0.009410322, DetectionBoxes_Precision/mAP@.50IOU = 0.29004437, DetectionBoxes_Precision/mAP@.75IOU = 0.055250753, DetectionBoxes_Recall/AR@1 = 0.13013722, DetectionBoxes_Recall/AR@10 = 0.25399932, DetectionBoxes_Recall/AR@100 = 0.30600736, DetectionBoxes_Recall/AR@100 (large) = 0.6666667, DetectionBoxes_Recall/AR@100 (medium) = 0.37649226, DetectionBoxes_Recall/AR@100 (small) = 0.087820515, Loss/classification_loss = 8.308297, Loss/localization_loss = 1.2742132, Loss/regularization_loss = 0.34699437, Loss/total_loss = 9.929505, global_step = 34388, learning_rate = 0.004, loss = 9.929505\n","I0309 02:32:51.036534 139972636141440 estimator.py:2049] Saving dict for global step 34388: DetectionBoxes_Precision/mAP = 0.10002041, DetectionBoxes_Precision/mAP (large) = 0.54179496, DetectionBoxes_Precision/mAP (medium) = 0.14088632, DetectionBoxes_Precision/mAP (small) = 0.009410322, DetectionBoxes_Precision/mAP@.50IOU = 0.29004437, DetectionBoxes_Precision/mAP@.75IOU = 0.055250753, DetectionBoxes_Recall/AR@1 = 0.13013722, DetectionBoxes_Recall/AR@10 = 0.25399932, DetectionBoxes_Recall/AR@100 = 0.30600736, DetectionBoxes_Recall/AR@100 (large) = 0.6666667, DetectionBoxes_Recall/AR@100 (medium) = 0.37649226, DetectionBoxes_Recall/AR@100 (small) = 0.087820515, Loss/classification_loss = 8.308297, Loss/localization_loss = 1.2742132, Loss/regularization_loss = 0.34699437, Loss/total_loss = 9.929505, global_step = 34388, learning_rate = 0.004, loss = 9.929505\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 34388: training/model.ckpt-34388\n","I0309 02:32:51.039845 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 34388: training/model.ckpt-34388\n","INFO:tensorflow:global_step/sec: 3.07527\n","I0309 02:32:53.718269 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.07527\n","INFO:tensorflow:loss = 2.6730313, step = 34400 (32.517 sec)\n","I0309 02:32:53.719371 139972636141440 basic_session_run_hooks.py:260] loss = 2.6730313, step = 34400 (32.517 sec)\n","INFO:tensorflow:global_step/sec: 4.88489\n","I0309 02:33:14.189580 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88489\n","INFO:tensorflow:loss = 4.310524, step = 34500 (20.471 sec)\n","I0309 02:33:14.190733 139972636141440 basic_session_run_hooks.py:260] loss = 4.310524, step = 34500 (20.471 sec)\n","INFO:tensorflow:global_step/sec: 4.86074\n","I0309 02:33:34.762557 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86074\n","INFO:tensorflow:loss = 2.2243674, step = 34600 (20.573 sec)\n","I0309 02:33:34.763839 139972636141440 basic_session_run_hooks.py:260] loss = 2.2243674, step = 34600 (20.573 sec)\n","INFO:tensorflow:global_step/sec: 4.879\n","I0309 02:33:55.258531 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.879\n","INFO:tensorflow:loss = 2.6828275, step = 34700 (20.496 sec)\n","I0309 02:33:55.259445 139972636141440 basic_session_run_hooks.py:260] loss = 2.6828275, step = 34700 (20.496 sec)\n","INFO:tensorflow:global_step/sec: 4.8955\n","I0309 02:34:15.685436 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8955\n","INFO:tensorflow:loss = 3.5387464, step = 34800 (20.427 sec)\n","I0309 02:34:15.686407 139972636141440 basic_session_run_hooks.py:260] loss = 3.5387464, step = 34800 (20.427 sec)\n","INFO:tensorflow:global_step/sec: 4.83021\n","I0309 02:34:36.388490 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83021\n","INFO:tensorflow:loss = 3.6956186, step = 34900 (20.703 sec)\n","I0309 02:34:36.389544 139972636141440 basic_session_run_hooks.py:260] loss = 3.6956186, step = 34900 (20.703 sec)\n","INFO:tensorflow:global_step/sec: 4.84401\n","I0309 02:34:57.032541 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84401\n","INFO:tensorflow:loss = 2.0569599, step = 35000 (20.644 sec)\n","I0309 02:34:57.033486 139972636141440 basic_session_run_hooks.py:260] loss = 2.0569599, step = 35000 (20.644 sec)\n","INFO:tensorflow:global_step/sec: 4.88741\n","I0309 02:35:17.493293 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88741\n","INFO:tensorflow:loss = 2.401925, step = 35100 (20.461 sec)\n","I0309 02:35:17.494202 139972636141440 basic_session_run_hooks.py:260] loss = 2.401925, step = 35100 (20.461 sec)\n","INFO:tensorflow:global_step/sec: 4.81379\n","I0309 02:35:38.266932 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81379\n","INFO:tensorflow:loss = 2.804393, step = 35200 (20.774 sec)\n","I0309 02:35:38.268126 139972636141440 basic_session_run_hooks.py:260] loss = 2.804393, step = 35200 (20.774 sec)\n","INFO:tensorflow:global_step/sec: 4.87187\n","I0309 02:35:58.792936 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87187\n","INFO:tensorflow:loss = 2.624248, step = 35300 (20.526 sec)\n","I0309 02:35:58.794062 139972636141440 basic_session_run_hooks.py:260] loss = 2.624248, step = 35300 (20.526 sec)\n","INFO:tensorflow:global_step/sec: 4.83035\n","I0309 02:36:19.495402 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83035\n","INFO:tensorflow:loss = 2.573278, step = 35400 (20.703 sec)\n","I0309 02:36:19.496597 139972636141440 basic_session_run_hooks.py:260] loss = 2.573278, step = 35400 (20.703 sec)\n","INFO:tensorflow:global_step/sec: 4.85596\n","I0309 02:36:40.088612 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85596\n","INFO:tensorflow:loss = 2.1931632, step = 35500 (20.593 sec)\n","I0309 02:36:40.089578 139972636141440 basic_session_run_hooks.py:260] loss = 2.1931632, step = 35500 (20.593 sec)\n","INFO:tensorflow:global_step/sec: 4.84029\n","I0309 02:37:00.748516 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84029\n","INFO:tensorflow:loss = 4.678059, step = 35600 (20.660 sec)\n","I0309 02:37:00.749618 139972636141440 basic_session_run_hooks.py:260] loss = 4.678059, step = 35600 (20.660 sec)\n","INFO:tensorflow:global_step/sec: 4.86809\n","I0309 02:37:21.290446 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86809\n","INFO:tensorflow:loss = 3.1134913, step = 35700 (20.542 sec)\n","I0309 02:37:21.291687 139972636141440 basic_session_run_hooks.py:260] loss = 3.1134913, step = 35700 (20.542 sec)\n","INFO:tensorflow:global_step/sec: 4.88485\n","I0309 02:37:41.761906 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88485\n","INFO:tensorflow:loss = 2.798511, step = 35800 (20.471 sec)\n","I0309 02:37:41.763103 139972636141440 basic_session_run_hooks.py:260] loss = 2.798511, step = 35800 (20.471 sec)\n","INFO:tensorflow:global_step/sec: 4.82003\n","I0309 02:38:02.508681 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82003\n","INFO:tensorflow:loss = 2.1507728, step = 35900 (20.747 sec)\n","I0309 02:38:02.509810 139972636141440 basic_session_run_hooks.py:260] loss = 2.1507728, step = 35900 (20.747 sec)\n","INFO:tensorflow:global_step/sec: 4.82965\n","I0309 02:38:23.214141 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82965\n","INFO:tensorflow:loss = 3.3644655, step = 36000 (20.706 sec)\n","I0309 02:38:23.215318 139972636141440 basic_session_run_hooks.py:260] loss = 3.3644655, step = 36000 (20.706 sec)\n","INFO:tensorflow:global_step/sec: 4.8598\n","I0309 02:38:43.791139 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8598\n","INFO:tensorflow:loss = 1.9728369, step = 36100 (20.577 sec)\n","I0309 02:38:43.792182 139972636141440 basic_session_run_hooks.py:260] loss = 1.9728369, step = 36100 (20.577 sec)\n","INFO:tensorflow:global_step/sec: 4.88028\n","I0309 02:39:04.281789 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88028\n","INFO:tensorflow:loss = 2.181742, step = 36200 (20.491 sec)\n","I0309 02:39:04.282832 139972636141440 basic_session_run_hooks.py:260] loss = 2.181742, step = 36200 (20.491 sec)\n","INFO:tensorflow:global_step/sec: 4.87071\n","I0309 02:39:24.812606 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87071\n","INFO:tensorflow:loss = 3.463032, step = 36300 (20.534 sec)\n","I0309 02:39:24.816768 139972636141440 basic_session_run_hooks.py:260] loss = 3.463032, step = 36300 (20.534 sec)\n","INFO:tensorflow:global_step/sec: 4.83067\n","I0309 02:39:45.513746 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83067\n","INFO:tensorflow:loss = 2.8518775, step = 36400 (20.698 sec)\n","I0309 02:39:45.515087 139972636141440 basic_session_run_hooks.py:260] loss = 2.8518775, step = 36400 (20.698 sec)\n","INFO:tensorflow:global_step/sec: 4.83315\n","I0309 02:40:06.204127 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83315\n","INFO:tensorflow:loss = 3.076337, step = 36500 (20.690 sec)\n","I0309 02:40:06.205158 139972636141440 basic_session_run_hooks.py:260] loss = 3.076337, step = 36500 (20.690 sec)\n","INFO:tensorflow:global_step/sec: 4.86188\n","I0309 02:40:26.772314 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86188\n","INFO:tensorflow:loss = 3.572355, step = 36600 (20.568 sec)\n","I0309 02:40:26.773468 139972636141440 basic_session_run_hooks.py:260] loss = 3.572355, step = 36600 (20.568 sec)\n","INFO:tensorflow:global_step/sec: 4.87714\n","I0309 02:40:47.276093 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87714\n","INFO:tensorflow:loss = 1.9974172, step = 36700 (20.504 sec)\n","I0309 02:40:47.277037 139972636141440 basic_session_run_hooks.py:260] loss = 1.9974172, step = 36700 (20.504 sec)\n","INFO:tensorflow:global_step/sec: 4.81568\n","I0309 02:41:08.041581 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81568\n","INFO:tensorflow:loss = 1.9950124, step = 36800 (20.766 sec)\n","I0309 02:41:08.042751 139972636141440 basic_session_run_hooks.py:260] loss = 1.9950124, step = 36800 (20.766 sec)\n","INFO:tensorflow:global_step/sec: 4.87327\n","I0309 02:41:28.561661 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87327\n","INFO:tensorflow:loss = 2.5401425, step = 36900 (20.520 sec)\n","I0309 02:41:28.562564 139972636141440 basic_session_run_hooks.py:260] loss = 2.5401425, step = 36900 (20.520 sec)\n","INFO:tensorflow:global_step/sec: 4.87116\n","I0309 02:41:49.090640 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87116\n","INFO:tensorflow:loss = 4.694895, step = 37000 (20.529 sec)\n","I0309 02:41:49.091654 139972636141440 basic_session_run_hooks.py:260] loss = 4.694895, step = 37000 (20.529 sec)\n","INFO:tensorflow:global_step/sec: 4.85898\n","I0309 02:42:09.671121 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85898\n","INFO:tensorflow:loss = 2.1512585, step = 37100 (20.580 sec)\n","I0309 02:42:09.672090 139972636141440 basic_session_run_hooks.py:260] loss = 2.1512585, step = 37100 (20.580 sec)\n","INFO:tensorflow:global_step/sec: 4.84383\n","I0309 02:42:30.315974 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84383\n","INFO:tensorflow:loss = 2.352801, step = 37200 (20.646 sec)\n","I0309 02:42:30.317745 139972636141440 basic_session_run_hooks.py:260] loss = 2.352801, step = 37200 (20.646 sec)\n","INFO:tensorflow:Saving checkpoints for 37245 into training/model.ckpt.\n","I0309 02:42:39.325628 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 37245 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:42:40.600334 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:42:40.600863 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 02:42:40.601004 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3df5e7d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 02:42:40.638594 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3df5e7d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3c9973b0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 02:42:40.804260 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3c9973b0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 02:42:41.298327 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:42:43.199099 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:42:43.226845 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:42:43.257801 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:42:43.286197 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:42:43.313068 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:42:43.340445 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 02:42:44.663548 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T02:42:44Z\n","I0309 02:42:44.679064 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T02:42:44Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 02:42:45.054096 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 02:42:45.054812: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:42:45.055366: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 02:42:45.055594: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 02:42:45.055628: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 02:42:45.055656: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 02:42:45.055685: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 02:42:45.055713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 02:42:45.055737: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 02:42:45.055759: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 02:42:45.055850: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:42:45.056337: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:42:45.056745: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 02:42:45.056791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 02:42:45.056806: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 02:42:45.056816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 02:42:45.056925: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:42:45.057397: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:42:45.057813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-37245\n","I0309 02:42:45.058768 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-37245\n","INFO:tensorflow:Running local_init_op.\n","I0309 02:42:45.924885 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 02:42:46.047748 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 02:42:49.423094 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 02:42:49.423650 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 02:42:49.428492 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.53s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.129\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.315\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.071\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.023\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.160\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.533\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.168\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.288\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.301\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.082\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.371\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.583\n","INFO:tensorflow:Finished evaluation at 2021-03-09-02:42:50\n","I0309 02:42:50.295886 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-02:42:50\n","INFO:tensorflow:Saving dict for global step 37245: DetectionBoxes_Precision/mAP = 0.12949313, DetectionBoxes_Precision/mAP (large) = 0.5333892, DetectionBoxes_Precision/mAP (medium) = 0.15968423, DetectionBoxes_Precision/mAP (small) = 0.022807505, DetectionBoxes_Precision/mAP@.50IOU = 0.3151792, DetectionBoxes_Precision/mAP@.75IOU = 0.07132887, DetectionBoxes_Recall/AR@1 = 0.16800536, DetectionBoxes_Recall/AR@10 = 0.28766733, DetectionBoxes_Recall/AR@100 = 0.300502, DetectionBoxes_Recall/AR@100 (large) = 0.5833333, DetectionBoxes_Recall/AR@100 (medium) = 0.37133384, DetectionBoxes_Recall/AR@100 (small) = 0.081623934, Loss/classification_loss = 8.352628, Loss/localization_loss = 1.4192591, Loss/regularization_loss = 0.3496985, Loss/total_loss = 10.121586, global_step = 37245, learning_rate = 0.004, loss = 10.121586\n","I0309 02:42:50.296147 139972636141440 estimator.py:2049] Saving dict for global step 37245: DetectionBoxes_Precision/mAP = 0.12949313, DetectionBoxes_Precision/mAP (large) = 0.5333892, DetectionBoxes_Precision/mAP (medium) = 0.15968423, DetectionBoxes_Precision/mAP (small) = 0.022807505, DetectionBoxes_Precision/mAP@.50IOU = 0.3151792, DetectionBoxes_Precision/mAP@.75IOU = 0.07132887, DetectionBoxes_Recall/AR@1 = 0.16800536, DetectionBoxes_Recall/AR@10 = 0.28766733, DetectionBoxes_Recall/AR@100 = 0.300502, DetectionBoxes_Recall/AR@100 (large) = 0.5833333, DetectionBoxes_Recall/AR@100 (medium) = 0.37133384, DetectionBoxes_Recall/AR@100 (small) = 0.081623934, Loss/classification_loss = 8.352628, Loss/localization_loss = 1.4192591, Loss/regularization_loss = 0.3496985, Loss/total_loss = 10.121586, global_step = 37245, learning_rate = 0.004, loss = 10.121586\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 37245: training/model.ckpt-37245\n","I0309 02:42:50.299410 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 37245: training/model.ckpt-37245\n","INFO:tensorflow:global_step/sec: 3.17063\n","I0309 02:43:01.855459 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.17063\n","INFO:tensorflow:loss = 2.5532649, step = 37300 (31.539 sec)\n","I0309 02:43:01.856535 139972636141440 basic_session_run_hooks.py:260] loss = 2.5532649, step = 37300 (31.539 sec)\n","INFO:tensorflow:global_step/sec: 4.84701\n","I0309 02:43:22.486728 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84701\n","INFO:tensorflow:loss = 2.5030332, step = 37400 (20.631 sec)\n","I0309 02:43:22.487727 139972636141440 basic_session_run_hooks.py:260] loss = 2.5030332, step = 37400 (20.631 sec)\n","INFO:tensorflow:global_step/sec: 4.86003\n","I0309 02:43:43.062712 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86003\n","INFO:tensorflow:loss = 2.6478977, step = 37500 (20.576 sec)\n","I0309 02:43:43.063706 139972636141440 basic_session_run_hooks.py:260] loss = 2.6478977, step = 37500 (20.576 sec)\n","INFO:tensorflow:global_step/sec: 4.86142\n","I0309 02:44:03.632849 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86142\n","INFO:tensorflow:loss = 2.085196, step = 37600 (20.570 sec)\n","I0309 02:44:03.634184 139972636141440 basic_session_run_hooks.py:260] loss = 2.085196, step = 37600 (20.570 sec)\n","INFO:tensorflow:global_step/sec: 4.8379\n","I0309 02:44:24.302993 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8379\n","INFO:tensorflow:loss = 2.8857546, step = 37700 (20.670 sec)\n","I0309 02:44:24.303971 139972636141440 basic_session_run_hooks.py:260] loss = 2.8857546, step = 37700 (20.670 sec)\n","INFO:tensorflow:global_step/sec: 4.82717\n","I0309 02:44:45.019087 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82717\n","INFO:tensorflow:loss = 2.1632972, step = 37800 (20.716 sec)\n","I0309 02:44:45.020011 139972636141440 basic_session_run_hooks.py:260] loss = 2.1632972, step = 37800 (20.716 sec)\n","INFO:tensorflow:global_step/sec: 4.85055\n","I0309 02:45:05.635324 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85055\n","INFO:tensorflow:loss = 3.4831095, step = 37900 (20.616 sec)\n","I0309 02:45:05.636430 139972636141440 basic_session_run_hooks.py:260] loss = 3.4831095, step = 37900 (20.616 sec)\n","INFO:tensorflow:global_step/sec: 4.86506\n","I0309 02:45:26.190024 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86506\n","INFO:tensorflow:loss = 2.1577206, step = 38000 (20.555 sec)\n","I0309 02:45:26.191237 139972636141440 basic_session_run_hooks.py:260] loss = 2.1577206, step = 38000 (20.555 sec)\n","INFO:tensorflow:global_step/sec: 4.8714\n","I0309 02:45:46.718003 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8714\n","INFO:tensorflow:loss = 2.632213, step = 38100 (20.528 sec)\n","I0309 02:45:46.719065 139972636141440 basic_session_run_hooks.py:260] loss = 2.632213, step = 38100 (20.528 sec)\n","INFO:tensorflow:global_step/sec: 4.85339\n","I0309 02:46:07.322164 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85339\n","INFO:tensorflow:loss = 3.662131, step = 38200 (20.604 sec)\n","I0309 02:46:07.323108 139972636141440 basic_session_run_hooks.py:260] loss = 3.662131, step = 38200 (20.604 sec)\n","INFO:tensorflow:global_step/sec: 4.86393\n","I0309 02:46:27.881699 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86393\n","INFO:tensorflow:loss = 3.103908, step = 38300 (20.560 sec)\n","I0309 02:46:27.882887 139972636141440 basic_session_run_hooks.py:260] loss = 3.103908, step = 38300 (20.560 sec)\n","INFO:tensorflow:global_step/sec: 4.8589\n","I0309 02:46:48.462452 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8589\n","INFO:tensorflow:loss = 3.891437, step = 38400 (20.581 sec)\n","I0309 02:46:48.463640 139972636141440 basic_session_run_hooks.py:260] loss = 3.891437, step = 38400 (20.581 sec)\n","INFO:tensorflow:global_step/sec: 4.83931\n","I0309 02:47:09.126555 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83931\n","INFO:tensorflow:loss = 3.1447654, step = 38500 (20.664 sec)\n","I0309 02:47:09.127685 139972636141440 basic_session_run_hooks.py:260] loss = 3.1447654, step = 38500 (20.664 sec)\n","INFO:tensorflow:global_step/sec: 4.86854\n","I0309 02:47:29.666582 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86854\n","INFO:tensorflow:loss = 3.4108615, step = 38600 (20.540 sec)\n","I0309 02:47:29.667694 139972636141440 basic_session_run_hooks.py:260] loss = 3.4108615, step = 38600 (20.540 sec)\n","INFO:tensorflow:global_step/sec: 4.84491\n","I0309 02:47:50.306804 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84491\n","INFO:tensorflow:loss = 2.8534527, step = 38700 (20.640 sec)\n","I0309 02:47:50.307895 139972636141440 basic_session_run_hooks.py:260] loss = 2.8534527, step = 38700 (20.640 sec)\n","INFO:tensorflow:global_step/sec: 4.87767\n","I0309 02:48:10.808387 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87767\n","INFO:tensorflow:loss = 2.8086658, step = 38800 (20.502 sec)\n","I0309 02:48:10.809424 139972636141440 basic_session_run_hooks.py:260] loss = 2.8086658, step = 38800 (20.502 sec)\n","INFO:tensorflow:global_step/sec: 4.867\n","I0309 02:48:31.354929 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.867\n","INFO:tensorflow:loss = 2.6338596, step = 38900 (20.547 sec)\n","I0309 02:48:31.356003 139972636141440 basic_session_run_hooks.py:260] loss = 2.6338596, step = 38900 (20.547 sec)\n","INFO:tensorflow:global_step/sec: 4.86951\n","I0309 02:48:51.890862 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86951\n","INFO:tensorflow:loss = 2.35824, step = 39000 (20.536 sec)\n","I0309 02:48:51.892029 139972636141440 basic_session_run_hooks.py:260] loss = 2.35824, step = 39000 (20.536 sec)\n","INFO:tensorflow:global_step/sec: 4.85869\n","I0309 02:49:12.472540 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85869\n","INFO:tensorflow:loss = 3.0814507, step = 39100 (20.582 sec)\n","I0309 02:49:12.473740 139972636141440 basic_session_run_hooks.py:260] loss = 3.0814507, step = 39100 (20.582 sec)\n","INFO:tensorflow:global_step/sec: 4.8775\n","I0309 02:49:32.974840 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8775\n","INFO:tensorflow:loss = 2.0757022, step = 39200 (20.502 sec)\n","I0309 02:49:32.976088 139972636141440 basic_session_run_hooks.py:260] loss = 2.0757022, step = 39200 (20.502 sec)\n","INFO:tensorflow:global_step/sec: 4.8967\n","I0309 02:49:53.396786 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8967\n","INFO:tensorflow:loss = 2.0167608, step = 39300 (20.422 sec)\n","I0309 02:49:53.398169 139972636141440 basic_session_run_hooks.py:260] loss = 2.0167608, step = 39300 (20.422 sec)\n","INFO:tensorflow:global_step/sec: 4.86237\n","I0309 02:50:13.962908 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86237\n","INFO:tensorflow:loss = 2.515591, step = 39400 (20.566 sec)\n","I0309 02:50:13.964101 139972636141440 basic_session_run_hooks.py:260] loss = 2.515591, step = 39400 (20.566 sec)\n","INFO:tensorflow:global_step/sec: 4.84197\n","I0309 02:50:34.615672 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84197\n","INFO:tensorflow:loss = 2.0914867, step = 39500 (20.653 sec)\n","I0309 02:50:34.616910 139972636141440 basic_session_run_hooks.py:260] loss = 2.0914867, step = 39500 (20.653 sec)\n","INFO:tensorflow:global_step/sec: 4.84819\n","I0309 02:50:55.241902 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84819\n","INFO:tensorflow:loss = 2.2569704, step = 39600 (20.626 sec)\n","I0309 02:50:55.242920 139972636141440 basic_session_run_hooks.py:260] loss = 2.2569704, step = 39600 (20.626 sec)\n","INFO:tensorflow:global_step/sec: 4.85965\n","I0309 02:51:15.819508 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85965\n","INFO:tensorflow:loss = 2.7861407, step = 39700 (20.578 sec)\n","I0309 02:51:15.820473 139972636141440 basic_session_run_hooks.py:260] loss = 2.7861407, step = 39700 (20.578 sec)\n","INFO:tensorflow:global_step/sec: 4.86229\n","I0309 02:51:36.385973 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86229\n","INFO:tensorflow:loss = 3.144376, step = 39800 (20.567 sec)\n","I0309 02:51:36.387092 139972636141440 basic_session_run_hooks.py:260] loss = 3.144376, step = 39800 (20.567 sec)\n","INFO:tensorflow:global_step/sec: 4.85519\n","I0309 02:51:56.982485 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85519\n","INFO:tensorflow:loss = 1.5654961, step = 39900 (20.597 sec)\n","I0309 02:51:56.983665 139972636141440 basic_session_run_hooks.py:260] loss = 1.5654961, step = 39900 (20.597 sec)\n","INFO:tensorflow:global_step/sec: 4.86508\n","I0309 02:52:17.537112 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86508\n","INFO:tensorflow:loss = 2.289888, step = 40000 (20.555 sec)\n","I0309 02:52:17.538335 139972636141440 basic_session_run_hooks.py:260] loss = 2.289888, step = 40000 (20.555 sec)\n","INFO:tensorflow:global_step/sec: 4.84779\n","I0309 02:52:38.165073 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84779\n","INFO:tensorflow:loss = 2.139204, step = 40100 (20.628 sec)\n","I0309 02:52:38.166325 139972636141440 basic_session_run_hooks.py:260] loss = 2.139204, step = 40100 (20.628 sec)\n","INFO:tensorflow:Saving checkpoints for 40107 into training/model.ckpt.\n","I0309 02:52:39.419124 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 40107 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:52:40.651191 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 02:52:40.651925 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 02:52:40.652084 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3ce76850>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 02:52:40.689969 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3ce76850>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d148dd0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 02:52:40.855233 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d148dd0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 02:52:41.341626 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:52:43.701012 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:52:43.729819 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:52:43.760961 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:52:43.788382 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:52:43.816691 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 02:52:43.843414 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 02:52:45.117905 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T02:52:45Z\n","I0309 02:52:45.132372 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T02:52:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 02:52:45.498661 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 02:52:45.499353: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:52:45.499853: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 02:52:45.499954: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 02:52:45.499998: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 02:52:45.500028: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 02:52:45.500056: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 02:52:45.500078: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 02:52:45.500100: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 02:52:45.500121: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 02:52:45.500228: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:52:45.500707: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:52:45.501111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 02:52:45.501229: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 02:52:45.501245: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 02:52:45.501255: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 02:52:45.501357: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:52:45.501812: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 02:52:45.502226: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-40107\n","I0309 02:52:45.503352 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-40107\n","INFO:tensorflow:Running local_init_op.\n","I0309 02:52:46.394445 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 02:52:46.533253 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 02:52:50.039272 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 02:52:50.039719 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 02:52:50.043548 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.52s).\n","Accumulating evaluation results...\n","DONE (t=0.11s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.155\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.348\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.100\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.012\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.205\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.603\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.191\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.330\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.345\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.101\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.430\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.683\n","INFO:tensorflow:Finished evaluation at 2021-03-09-02:52:50\n","I0309 02:52:50.913127 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-02:52:50\n","INFO:tensorflow:Saving dict for global step 40107: DetectionBoxes_Precision/mAP = 0.15487663, DetectionBoxes_Precision/mAP (large) = 0.6027723, DetectionBoxes_Precision/mAP (medium) = 0.20484084, DetectionBoxes_Precision/mAP (small) = 0.012244919, DetectionBoxes_Precision/mAP@.50IOU = 0.34823978, DetectionBoxes_Precision/mAP@.75IOU = 0.10037185, DetectionBoxes_Recall/AR@1 = 0.19126506, DetectionBoxes_Recall/AR@10 = 0.32986948, DetectionBoxes_Recall/AR@100 = 0.34501338, DetectionBoxes_Recall/AR@100 (large) = 0.68333334, DetectionBoxes_Recall/AR@100 (medium) = 0.42958733, DetectionBoxes_Recall/AR@100 (small) = 0.10064103, Loss/classification_loss = 7.6081295, Loss/localization_loss = 1.211415, Loss/regularization_loss = 0.35222438, Loss/total_loss = 9.171769, global_step = 40107, learning_rate = 0.004, loss = 9.171769\n","I0309 02:52:50.913415 139972636141440 estimator.py:2049] Saving dict for global step 40107: DetectionBoxes_Precision/mAP = 0.15487663, DetectionBoxes_Precision/mAP (large) = 0.6027723, DetectionBoxes_Precision/mAP (medium) = 0.20484084, DetectionBoxes_Precision/mAP (small) = 0.012244919, DetectionBoxes_Precision/mAP@.50IOU = 0.34823978, DetectionBoxes_Precision/mAP@.75IOU = 0.10037185, DetectionBoxes_Recall/AR@1 = 0.19126506, DetectionBoxes_Recall/AR@10 = 0.32986948, DetectionBoxes_Recall/AR@100 = 0.34501338, DetectionBoxes_Recall/AR@100 (large) = 0.68333334, DetectionBoxes_Recall/AR@100 (medium) = 0.42958733, DetectionBoxes_Recall/AR@100 (small) = 0.10064103, Loss/classification_loss = 7.6081295, Loss/localization_loss = 1.211415, Loss/regularization_loss = 0.35222438, Loss/total_loss = 9.171769, global_step = 40107, learning_rate = 0.004, loss = 9.171769\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 40107: training/model.ckpt-40107\n","I0309 02:52:50.916828 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 40107: training/model.ckpt-40107\n","INFO:tensorflow:global_step/sec: 3.11866\n","I0309 02:53:10.230073 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.11866\n","INFO:tensorflow:loss = 3.619377, step = 40200 (32.065 sec)\n","I0309 02:53:10.231130 139972636141440 basic_session_run_hooks.py:260] loss = 3.619377, step = 40200 (32.065 sec)\n","INFO:tensorflow:global_step/sec: 4.89663\n","I0309 02:53:30.652260 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89663\n","INFO:tensorflow:loss = 2.311907, step = 40300 (20.422 sec)\n","I0309 02:53:30.653264 139972636141440 basic_session_run_hooks.py:260] loss = 2.311907, step = 40300 (20.422 sec)\n","INFO:tensorflow:global_step/sec: 4.88049\n","I0309 02:53:51.141996 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88049\n","INFO:tensorflow:loss = 2.4081545, step = 40400 (20.490 sec)\n","I0309 02:53:51.142995 139972636141440 basic_session_run_hooks.py:260] loss = 2.4081545, step = 40400 (20.490 sec)\n","INFO:tensorflow:global_step/sec: 4.89848\n","I0309 02:54:11.556501 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89848\n","INFO:tensorflow:loss = 2.0492868, step = 40500 (20.414 sec)\n","I0309 02:54:11.557438 139972636141440 basic_session_run_hooks.py:260] loss = 2.0492868, step = 40500 (20.414 sec)\n","INFO:tensorflow:global_step/sec: 4.84953\n","I0309 02:54:32.177068 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84953\n","INFO:tensorflow:loss = 2.9988446, step = 40600 (20.622 sec)\n","I0309 02:54:32.179303 139972636141440 basic_session_run_hooks.py:260] loss = 2.9988446, step = 40600 (20.622 sec)\n","INFO:tensorflow:global_step/sec: 4.8862\n","I0309 02:54:52.642863 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8862\n","INFO:tensorflow:loss = 2.2579787, step = 40700 (20.465 sec)\n","I0309 02:54:52.643904 139972636141440 basic_session_run_hooks.py:260] loss = 2.2579787, step = 40700 (20.465 sec)\n","INFO:tensorflow:global_step/sec: 4.88916\n","I0309 02:55:13.096377 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88916\n","INFO:tensorflow:loss = 2.5963323, step = 40800 (20.453 sec)\n","I0309 02:55:13.097356 139972636141440 basic_session_run_hooks.py:260] loss = 2.5963323, step = 40800 (20.453 sec)\n","INFO:tensorflow:global_step/sec: 4.87325\n","I0309 02:55:33.616463 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87325\n","INFO:tensorflow:loss = 2.2695808, step = 40900 (20.520 sec)\n","I0309 02:55:33.617647 139972636141440 basic_session_run_hooks.py:260] loss = 2.2695808, step = 40900 (20.520 sec)\n","INFO:tensorflow:global_step/sec: 4.864\n","I0309 02:55:54.175662 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.864\n","INFO:tensorflow:loss = 2.7041407, step = 41000 (20.559 sec)\n","I0309 02:55:54.176623 139972636141440 basic_session_run_hooks.py:260] loss = 2.7041407, step = 41000 (20.559 sec)\n","INFO:tensorflow:global_step/sec: 4.90639\n","I0309 02:56:14.557266 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90639\n","INFO:tensorflow:loss = 1.5910088, step = 41100 (20.382 sec)\n","I0309 02:56:14.558341 139972636141440 basic_session_run_hooks.py:260] loss = 1.5910088, step = 41100 (20.382 sec)\n","INFO:tensorflow:global_step/sec: 4.85163\n","I0309 02:56:35.168950 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85163\n","INFO:tensorflow:loss = 2.6467927, step = 41200 (20.612 sec)\n","I0309 02:56:35.170116 139972636141440 basic_session_run_hooks.py:260] loss = 2.6467927, step = 41200 (20.612 sec)\n","INFO:tensorflow:global_step/sec: 4.89526\n","I0309 02:56:55.596917 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89526\n","INFO:tensorflow:loss = 2.6362567, step = 41300 (20.428 sec)\n","I0309 02:56:55.598109 139972636141440 basic_session_run_hooks.py:260] loss = 2.6362567, step = 41300 (20.428 sec)\n","INFO:tensorflow:global_step/sec: 4.86974\n","I0309 02:57:16.131780 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86974\n","INFO:tensorflow:loss = 2.6336524, step = 41400 (20.535 sec)\n","I0309 02:57:16.132809 139972636141440 basic_session_run_hooks.py:260] loss = 2.6336524, step = 41400 (20.535 sec)\n","INFO:tensorflow:global_step/sec: 4.87748\n","I0309 02:57:36.634277 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87748\n","INFO:tensorflow:loss = 2.01131, step = 41500 (20.503 sec)\n","I0309 02:57:36.635409 139972636141440 basic_session_run_hooks.py:260] loss = 2.01131, step = 41500 (20.503 sec)\n","INFO:tensorflow:global_step/sec: 4.91439\n","I0309 02:57:56.982595 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.91439\n","INFO:tensorflow:loss = 1.9690626, step = 41600 (20.348 sec)\n","I0309 02:57:56.983535 139972636141440 basic_session_run_hooks.py:260] loss = 1.9690626, step = 41600 (20.348 sec)\n","INFO:tensorflow:global_step/sec: 4.83012\n","I0309 02:58:17.686042 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83012\n","INFO:tensorflow:loss = 2.4856462, step = 41700 (20.703 sec)\n","I0309 02:58:17.686942 139972636141440 basic_session_run_hooks.py:260] loss = 2.4856462, step = 41700 (20.703 sec)\n","INFO:tensorflow:global_step/sec: 4.85237\n","I0309 02:58:38.294493 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85237\n","INFO:tensorflow:loss = 2.64731, step = 41800 (20.609 sec)\n","I0309 02:58:38.295583 139972636141440 basic_session_run_hooks.py:260] loss = 2.64731, step = 41800 (20.609 sec)\n","INFO:tensorflow:global_step/sec: 4.87184\n","I0309 02:58:58.820589 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87184\n","INFO:tensorflow:loss = 2.015608, step = 41900 (20.526 sec)\n","I0309 02:58:58.821500 139972636141440 basic_session_run_hooks.py:260] loss = 2.015608, step = 41900 (20.526 sec)\n","INFO:tensorflow:global_step/sec: 4.88374\n","I0309 02:59:19.296677 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88374\n","INFO:tensorflow:loss = 2.9876246, step = 42000 (20.476 sec)\n","I0309 02:59:19.297893 139972636141440 basic_session_run_hooks.py:260] loss = 2.9876246, step = 42000 (20.476 sec)\n","INFO:tensorflow:global_step/sec: 4.86954\n","I0309 02:59:39.832504 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86954\n","INFO:tensorflow:loss = 2.9196925, step = 42100 (20.536 sec)\n","I0309 02:59:39.833762 139972636141440 basic_session_run_hooks.py:260] loss = 2.9196925, step = 42100 (20.536 sec)\n","INFO:tensorflow:global_step/sec: 4.88314\n","I0309 03:00:00.311146 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88314\n","INFO:tensorflow:loss = 1.4660754, step = 42200 (20.478 sec)\n","I0309 03:00:00.312208 139972636141440 basic_session_run_hooks.py:260] loss = 1.4660754, step = 42200 (20.478 sec)\n","INFO:tensorflow:global_step/sec: 4.86467\n","I0309 03:00:20.867529 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86467\n","INFO:tensorflow:loss = 2.4951775, step = 42300 (20.556 sec)\n","I0309 03:00:20.868714 139972636141440 basic_session_run_hooks.py:260] loss = 2.4951775, step = 42300 (20.556 sec)\n","INFO:tensorflow:global_step/sec: 4.84792\n","I0309 03:00:41.494918 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84792\n","INFO:tensorflow:loss = 1.8390567, step = 42400 (20.627 sec)\n","I0309 03:00:41.496209 139972636141440 basic_session_run_hooks.py:260] loss = 1.8390567, step = 42400 (20.627 sec)\n","INFO:tensorflow:global_step/sec: 4.87833\n","I0309 03:01:01.993747 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87833\n","INFO:tensorflow:loss = 2.765604, step = 42500 (20.498 sec)\n","I0309 03:01:01.994604 139972636141440 basic_session_run_hooks.py:260] loss = 2.765604, step = 42500 (20.498 sec)\n","INFO:tensorflow:global_step/sec: 4.90466\n","I0309 03:01:22.382510 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90466\n","INFO:tensorflow:loss = 2.6968482, step = 42600 (20.389 sec)\n","I0309 03:01:22.383564 139972636141440 basic_session_run_hooks.py:260] loss = 2.6968482, step = 42600 (20.389 sec)\n","INFO:tensorflow:global_step/sec: 4.85642\n","I0309 03:01:42.973781 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85642\n","INFO:tensorflow:loss = 1.8354445, step = 42700 (20.591 sec)\n","I0309 03:01:42.974700 139972636141440 basic_session_run_hooks.py:260] loss = 1.8354445, step = 42700 (20.591 sec)\n","INFO:tensorflow:global_step/sec: 4.87972\n","I0309 03:02:03.466757 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87972\n","INFO:tensorflow:loss = 2.204957, step = 42800 (20.493 sec)\n","I0309 03:02:03.467953 139972636141440 basic_session_run_hooks.py:260] loss = 2.204957, step = 42800 (20.493 sec)\n","INFO:tensorflow:global_step/sec: 4.85661\n","I0309 03:02:24.057272 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85661\n","INFO:tensorflow:loss = 2.4628391, step = 42900 (20.590 sec)\n","I0309 03:02:24.058132 139972636141440 basic_session_run_hooks.py:260] loss = 2.4628391, step = 42900 (20.590 sec)\n","INFO:tensorflow:Saving checkpoints for 42976 into training/model.ckpt.\n","I0309 03:02:39.425903 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 42976 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:02:40.689717 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:02:40.690352 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 03:02:40.690510 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d9c5350>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 03:02:40.728016 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d9c5350>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4ce67a4cb0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 03:02:40.889822 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4ce67a4cb0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 03:02:41.393457 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:02:43.439515 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:02:43.469478 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:02:43.498018 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:02:43.527659 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:02:43.556170 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:02:43.584280 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 03:02:45.209629 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T03:02:45Z\n","I0309 03:02:45.224520 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T03:02:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 03:02:45.612718 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 03:02:45.613379: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:02:45.613880: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 03:02:45.613990: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 03:02:45.614029: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 03:02:45.614056: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 03:02:45.614080: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 03:02:45.614104: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 03:02:45.614125: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 03:02:45.614147: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 03:02:45.614255: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:02:45.614726: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:02:45.615137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 03:02:45.615183: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 03:02:45.615197: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 03:02:45.615207: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 03:02:45.615324: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:02:45.615852: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:02:45.617157: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-42976\n","I0309 03:02:45.618327 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-42976\n","INFO:tensorflow:Running local_init_op.\n","I0309 03:02:46.506548 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 03:02:46.640939 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 03:02:50.150580 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 03:02:50.151165 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 03:02:50.155831 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.55s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.165\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.386\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.101\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.046\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.202\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.608\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.206\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.315\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.335\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.088\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.429\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.650\n","INFO:tensorflow:Finished evaluation at 2021-03-09-03:02:51\n","I0309 03:02:51.009605 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-03:02:51\n","INFO:tensorflow:Saving dict for global step 42976: DetectionBoxes_Precision/mAP = 0.16480263, DetectionBoxes_Precision/mAP (large) = 0.6082508, DetectionBoxes_Precision/mAP (medium) = 0.20170665, DetectionBoxes_Precision/mAP (small) = 0.04586604, DetectionBoxes_Precision/mAP@.50IOU = 0.3857482, DetectionBoxes_Precision/mAP@.75IOU = 0.10103413, DetectionBoxes_Recall/AR@1 = 0.20589022, DetectionBoxes_Recall/AR@10 = 0.31512716, DetectionBoxes_Recall/AR@100 = 0.33532465, DetectionBoxes_Recall/AR@100 (large) = 0.65, DetectionBoxes_Recall/AR@100 (medium) = 0.42929256, DetectionBoxes_Recall/AR@100 (small) = 0.08760684, Loss/classification_loss = 7.848139, Loss/localization_loss = 1.2473837, Loss/regularization_loss = 0.35446805, Loss/total_loss = 9.44999, global_step = 42976, learning_rate = 0.004, loss = 9.44999\n","I0309 03:02:51.009860 139972636141440 estimator.py:2049] Saving dict for global step 42976: DetectionBoxes_Precision/mAP = 0.16480263, DetectionBoxes_Precision/mAP (large) = 0.6082508, DetectionBoxes_Precision/mAP (medium) = 0.20170665, DetectionBoxes_Precision/mAP (small) = 0.04586604, DetectionBoxes_Precision/mAP@.50IOU = 0.3857482, DetectionBoxes_Precision/mAP@.75IOU = 0.10103413, DetectionBoxes_Recall/AR@1 = 0.20589022, DetectionBoxes_Recall/AR@10 = 0.31512716, DetectionBoxes_Recall/AR@100 = 0.33532465, DetectionBoxes_Recall/AR@100 (large) = 0.65, DetectionBoxes_Recall/AR@100 (medium) = 0.42929256, DetectionBoxes_Recall/AR@100 (small) = 0.08760684, Loss/classification_loss = 7.848139, Loss/localization_loss = 1.2473837, Loss/regularization_loss = 0.35446805, Loss/total_loss = 9.44999, global_step = 42976, learning_rate = 0.004, loss = 9.44999\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 42976: training/model.ckpt-42976\n","I0309 03:02:51.013189 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 42976: training/model.ckpt-42976\n","INFO:tensorflow:global_step/sec: 3.11424\n","I0309 03:02:56.167808 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.11424\n","INFO:tensorflow:loss = 2.6355991, step = 43000 (32.111 sec)\n","I0309 03:02:56.169069 139972636141440 basic_session_run_hooks.py:260] loss = 2.6355991, step = 43000 (32.111 sec)\n","INFO:tensorflow:global_step/sec: 4.88677\n","I0309 03:03:16.631239 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88677\n","INFO:tensorflow:loss = 3.7772844, step = 43100 (20.463 sec)\n","I0309 03:03:16.632200 139972636141440 basic_session_run_hooks.py:260] loss = 3.7772844, step = 43100 (20.463 sec)\n","INFO:tensorflow:global_step/sec: 4.88615\n","I0309 03:03:37.097231 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88615\n","INFO:tensorflow:loss = 2.7769852, step = 43200 (20.466 sec)\n","I0309 03:03:37.098367 139972636141440 basic_session_run_hooks.py:260] loss = 2.7769852, step = 43200 (20.466 sec)\n","INFO:tensorflow:global_step/sec: 4.86243\n","I0309 03:03:57.663072 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86243\n","INFO:tensorflow:loss = 1.9986438, step = 43300 (20.566 sec)\n","I0309 03:03:57.664126 139972636141440 basic_session_run_hooks.py:260] loss = 1.9986438, step = 43300 (20.566 sec)\n","INFO:tensorflow:global_step/sec: 4.88494\n","I0309 03:04:18.134181 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88494\n","INFO:tensorflow:loss = 2.9137237, step = 43400 (20.471 sec)\n","I0309 03:04:18.135401 139972636141440 basic_session_run_hooks.py:260] loss = 2.9137237, step = 43400 (20.471 sec)\n","INFO:tensorflow:global_step/sec: 4.8729\n","I0309 03:04:38.655892 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8729\n","INFO:tensorflow:loss = 3.581291, step = 43500 (20.522 sec)\n","I0309 03:04:38.657081 139972636141440 basic_session_run_hooks.py:260] loss = 3.581291, step = 43500 (20.522 sec)\n","INFO:tensorflow:global_step/sec: 4.84678\n","I0309 03:04:59.288122 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84678\n","INFO:tensorflow:loss = 2.1384459, step = 43600 (20.632 sec)\n","I0309 03:04:59.289417 139972636141440 basic_session_run_hooks.py:260] loss = 2.1384459, step = 43600 (20.632 sec)\n","INFO:tensorflow:global_step/sec: 4.85322\n","I0309 03:05:19.892994 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85322\n","INFO:tensorflow:loss = 2.511647, step = 43700 (20.605 sec)\n","I0309 03:05:19.893987 139972636141440 basic_session_run_hooks.py:260] loss = 2.511647, step = 43700 (20.605 sec)\n","INFO:tensorflow:global_step/sec: 4.85987\n","I0309 03:05:40.469647 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85987\n","INFO:tensorflow:loss = 2.525287, step = 43800 (20.577 sec)\n","I0309 03:05:40.470489 139972636141440 basic_session_run_hooks.py:260] loss = 2.525287, step = 43800 (20.577 sec)\n","INFO:tensorflow:global_step/sec: 4.88215\n","I0309 03:06:00.952435 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88215\n","INFO:tensorflow:loss = 3.1561656, step = 43900 (20.483 sec)\n","I0309 03:06:00.953537 139972636141440 basic_session_run_hooks.py:260] loss = 3.1561656, step = 43900 (20.483 sec)\n","INFO:tensorflow:global_step/sec: 4.88291\n","I0309 03:06:21.432027 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88291\n","INFO:tensorflow:loss = 2.202474, step = 44000 (20.480 sec)\n","I0309 03:06:21.433181 139972636141440 basic_session_run_hooks.py:260] loss = 2.202474, step = 44000 (20.480 sec)\n","INFO:tensorflow:global_step/sec: 4.88346\n","I0309 03:06:41.909333 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88346\n","INFO:tensorflow:loss = 3.4977992, step = 44100 (20.477 sec)\n","I0309 03:06:41.910378 139972636141440 basic_session_run_hooks.py:260] loss = 3.4977992, step = 44100 (20.477 sec)\n","INFO:tensorflow:global_step/sec: 4.88462\n","I0309 03:07:02.381770 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88462\n","INFO:tensorflow:loss = 2.384831, step = 44200 (20.472 sec)\n","I0309 03:07:02.382783 139972636141440 basic_session_run_hooks.py:260] loss = 2.384831, step = 44200 (20.472 sec)\n","INFO:tensorflow:global_step/sec: 4.89405\n","I0309 03:07:22.814686 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89405\n","INFO:tensorflow:loss = 2.7078855, step = 44300 (20.433 sec)\n","I0309 03:07:22.815682 139972636141440 basic_session_run_hooks.py:260] loss = 2.7078855, step = 44300 (20.433 sec)\n","INFO:tensorflow:global_step/sec: 4.88072\n","I0309 03:07:43.303484 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88072\n","INFO:tensorflow:loss = 1.8926327, step = 44400 (20.489 sec)\n","I0309 03:07:43.304456 139972636141440 basic_session_run_hooks.py:260] loss = 1.8926327, step = 44400 (20.489 sec)\n","INFO:tensorflow:global_step/sec: 4.88671\n","I0309 03:08:03.767133 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88671\n","INFO:tensorflow:loss = 2.551011, step = 44500 (20.464 sec)\n","I0309 03:08:03.768369 139972636141440 basic_session_run_hooks.py:260] loss = 2.551011, step = 44500 (20.464 sec)\n","INFO:tensorflow:global_step/sec: 4.89072\n","I0309 03:08:24.214020 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89072\n","INFO:tensorflow:loss = 2.4751925, step = 44600 (20.447 sec)\n","I0309 03:08:24.215166 139972636141440 basic_session_run_hooks.py:260] loss = 2.4751925, step = 44600 (20.447 sec)\n","INFO:tensorflow:global_step/sec: 4.89674\n","I0309 03:08:44.635780 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89674\n","INFO:tensorflow:loss = 2.4045758, step = 44700 (20.422 sec)\n","I0309 03:08:44.637418 139972636141440 basic_session_run_hooks.py:260] loss = 2.4045758, step = 44700 (20.422 sec)\n","INFO:tensorflow:global_step/sec: 4.8288\n","I0309 03:09:05.344874 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8288\n","INFO:tensorflow:loss = 2.069545, step = 44800 (20.709 sec)\n","I0309 03:09:05.345947 139972636141440 basic_session_run_hooks.py:260] loss = 2.069545, step = 44800 (20.709 sec)\n","INFO:tensorflow:global_step/sec: 4.87088\n","I0309 03:09:25.875063 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87088\n","INFO:tensorflow:loss = 1.4937534, step = 44900 (20.530 sec)\n","I0309 03:09:25.876190 139972636141440 basic_session_run_hooks.py:260] loss = 1.4937534, step = 44900 (20.530 sec)\n","INFO:tensorflow:global_step/sec: 4.87563\n","I0309 03:09:46.385260 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87563\n","INFO:tensorflow:loss = 2.631299, step = 45000 (20.510 sec)\n","I0309 03:09:46.386269 139972636141440 basic_session_run_hooks.py:260] loss = 2.631299, step = 45000 (20.510 sec)\n","INFO:tensorflow:global_step/sec: 4.86187\n","I0309 03:10:06.953458 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86187\n","INFO:tensorflow:loss = 4.255654, step = 45100 (20.568 sec)\n","I0309 03:10:06.954378 139972636141440 basic_session_run_hooks.py:260] loss = 4.255654, step = 45100 (20.568 sec)\n","INFO:tensorflow:global_step/sec: 4.8421\n","I0309 03:10:27.605671 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8421\n","INFO:tensorflow:loss = 2.6765347, step = 45200 (20.652 sec)\n","I0309 03:10:27.606678 139972636141440 basic_session_run_hooks.py:260] loss = 2.6765347, step = 45200 (20.652 sec)\n","INFO:tensorflow:global_step/sec: 4.88734\n","I0309 03:10:48.066701 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88734\n","INFO:tensorflow:loss = 3.5942962, step = 45300 (20.461 sec)\n","I0309 03:10:48.067686 139972636141440 basic_session_run_hooks.py:260] loss = 3.5942962, step = 45300 (20.461 sec)\n","INFO:tensorflow:global_step/sec: 4.84697\n","I0309 03:11:08.698150 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84697\n","INFO:tensorflow:loss = 2.2909293, step = 45400 (20.631 sec)\n","I0309 03:11:08.699112 139972636141440 basic_session_run_hooks.py:260] loss = 2.2909293, step = 45400 (20.631 sec)\n","INFO:tensorflow:global_step/sec: 4.87488\n","I0309 03:11:29.211475 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87488\n","INFO:tensorflow:loss = 4.0721693, step = 45500 (20.513 sec)\n","I0309 03:11:29.212390 139972636141440 basic_session_run_hooks.py:260] loss = 4.0721693, step = 45500 (20.513 sec)\n","INFO:tensorflow:global_step/sec: 4.86033\n","I0309 03:11:49.786205 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86033\n","INFO:tensorflow:loss = 2.1358495, step = 45600 (20.575 sec)\n","I0309 03:11:49.787304 139972636141440 basic_session_run_hooks.py:260] loss = 2.1358495, step = 45600 (20.575 sec)\n","INFO:tensorflow:global_step/sec: 4.87218\n","I0309 03:12:10.310883 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87218\n","INFO:tensorflow:loss = 2.3311641, step = 45700 (20.525 sec)\n","I0309 03:12:10.312057 139972636141440 basic_session_run_hooks.py:260] loss = 2.3311641, step = 45700 (20.525 sec)\n","INFO:tensorflow:global_step/sec: 4.8924\n","I0309 03:12:30.750756 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8924\n","INFO:tensorflow:loss = 2.0947597, step = 45800 (20.440 sec)\n","I0309 03:12:30.751704 139972636141440 basic_session_run_hooks.py:260] loss = 2.0947597, step = 45800 (20.440 sec)\n","INFO:tensorflow:Saving checkpoints for 45844 into training/model.ckpt.\n","I0309 03:12:39.524507 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 45844 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:12:40.796614 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:12:40.797242 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 03:12:40.797396 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4ce6148090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 03:12:40.836432 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4ce6148090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4cfe139cb0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 03:12:41.000721 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4cfe139cb0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 03:12:41.487026 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:12:43.408839 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:12:43.436833 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:12:43.463685 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:12:43.490904 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:12:43.520568 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:12:43.547862 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 03:12:44.872643 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T03:12:44Z\n","I0309 03:12:44.888282 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T03:12:44Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 03:12:45.271062 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 03:12:45.271821: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:12:45.272343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 03:12:45.272457: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 03:12:45.272498: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 03:12:45.272532: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 03:12:45.272555: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 03:12:45.272580: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 03:12:45.272605: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 03:12:45.272631: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 03:12:45.272724: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:12:45.273200: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:12:45.273617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 03:12:45.273728: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 03:12:45.273743: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 03:12:45.273753: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 03:12:45.273862: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:12:45.274354: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:12:45.274770: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-45844\n","I0309 03:12:45.275663 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-45844\n","INFO:tensorflow:Running local_init_op.\n","I0309 03:12:46.150913 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 03:12:46.274995 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 03:12:49.658720 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 03:12:49.659262 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 03:12:49.664067 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.60s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.132\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.300\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.102\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.023\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.167\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.574\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.177\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.291\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.323\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.064\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.419\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.633\n","INFO:tensorflow:Finished evaluation at 2021-03-09-03:12:50\n","I0309 03:12:50.535647 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-03:12:50\n","INFO:tensorflow:Saving dict for global step 45844: DetectionBoxes_Precision/mAP = 0.13167565, DetectionBoxes_Precision/mAP (large) = 0.57417494, DetectionBoxes_Precision/mAP (medium) = 0.16732787, DetectionBoxes_Precision/mAP (small) = 0.022884874, DetectionBoxes_Precision/mAP@.50IOU = 0.2999461, DetectionBoxes_Precision/mAP@.75IOU = 0.10170933, DetectionBoxes_Recall/AR@1 = 0.1774933, DetectionBoxes_Recall/AR@10 = 0.2910308, DetectionBoxes_Recall/AR@100 = 0.32327643, DetectionBoxes_Recall/AR@100 (large) = 0.6333333, DetectionBoxes_Recall/AR@100 (medium) = 0.41949153, DetectionBoxes_Recall/AR@100 (small) = 0.06367522, Loss/classification_loss = 8.31098, Loss/localization_loss = 1.3841822, Loss/regularization_loss = 0.35652605, Loss/total_loss = 10.051686, global_step = 45844, learning_rate = 0.004, loss = 10.051686\n","I0309 03:12:50.535961 139972636141440 estimator.py:2049] Saving dict for global step 45844: DetectionBoxes_Precision/mAP = 0.13167565, DetectionBoxes_Precision/mAP (large) = 0.57417494, DetectionBoxes_Precision/mAP (medium) = 0.16732787, DetectionBoxes_Precision/mAP (small) = 0.022884874, DetectionBoxes_Precision/mAP@.50IOU = 0.2999461, DetectionBoxes_Precision/mAP@.75IOU = 0.10170933, DetectionBoxes_Recall/AR@1 = 0.1774933, DetectionBoxes_Recall/AR@10 = 0.2910308, DetectionBoxes_Recall/AR@100 = 0.32327643, DetectionBoxes_Recall/AR@100 (large) = 0.6333333, DetectionBoxes_Recall/AR@100 (medium) = 0.41949153, DetectionBoxes_Recall/AR@100 (small) = 0.06367522, Loss/classification_loss = 8.31098, Loss/localization_loss = 1.3841822, Loss/regularization_loss = 0.35652605, Loss/total_loss = 10.051686, global_step = 45844, learning_rate = 0.004, loss = 10.051686\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 45844: training/model.ckpt-45844\n","I0309 03:12:50.539939 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 45844: training/model.ckpt-45844\n","INFO:tensorflow:global_step/sec: 3.15598\n","I0309 03:13:02.436600 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.15598\n","INFO:tensorflow:loss = 2.2842612, step = 45900 (31.686 sec)\n","I0309 03:13:02.437561 139972636141440 basic_session_run_hooks.py:260] loss = 2.2842612, step = 45900 (31.686 sec)\n","INFO:tensorflow:global_step/sec: 4.88095\n","I0309 03:13:22.924479 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88095\n","INFO:tensorflow:loss = 1.8204973, step = 46000 (20.488 sec)\n","I0309 03:13:22.925716 139972636141440 basic_session_run_hooks.py:260] loss = 1.8204973, step = 46000 (20.488 sec)\n","INFO:tensorflow:global_step/sec: 4.86902\n","I0309 03:13:43.462425 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86902\n","INFO:tensorflow:loss = 3.270046, step = 46100 (20.538 sec)\n","I0309 03:13:43.463513 139972636141440 basic_session_run_hooks.py:260] loss = 3.270046, step = 46100 (20.538 sec)\n","INFO:tensorflow:global_step/sec: 4.93691\n","I0309 03:14:03.717983 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.93691\n","INFO:tensorflow:loss = 2.3585038, step = 46200 (20.256 sec)\n","I0309 03:14:03.719174 139972636141440 basic_session_run_hooks.py:260] loss = 2.3585038, step = 46200 (20.256 sec)\n","INFO:tensorflow:global_step/sec: 4.85883\n","I0309 03:14:24.299088 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85883\n","INFO:tensorflow:loss = 3.1455247, step = 46300 (20.581 sec)\n","I0309 03:14:24.300098 139972636141440 basic_session_run_hooks.py:260] loss = 3.1455247, step = 46300 (20.581 sec)\n","INFO:tensorflow:global_step/sec: 4.90007\n","I0309 03:14:44.707013 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90007\n","INFO:tensorflow:loss = 3.2544641, step = 46400 (20.408 sec)\n","I0309 03:14:44.708130 139972636141440 basic_session_run_hooks.py:260] loss = 3.2544641, step = 46400 (20.408 sec)\n","INFO:tensorflow:global_step/sec: 4.84304\n","I0309 03:15:05.355224 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84304\n","INFO:tensorflow:loss = 2.3024545, step = 46500 (20.648 sec)\n","I0309 03:15:05.356405 139972636141440 basic_session_run_hooks.py:260] loss = 2.3024545, step = 46500 (20.648 sec)\n","INFO:tensorflow:global_step/sec: 4.88887\n","I0309 03:15:25.809765 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88887\n","INFO:tensorflow:loss = 2.641714, step = 46600 (20.455 sec)\n","I0309 03:15:25.811031 139972636141440 basic_session_run_hooks.py:260] loss = 2.641714, step = 46600 (20.455 sec)\n","INFO:tensorflow:global_step/sec: 4.89201\n","I0309 03:15:46.251354 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89201\n","INFO:tensorflow:loss = 2.5250838, step = 46700 (20.441 sec)\n","I0309 03:15:46.252260 139972636141440 basic_session_run_hooks.py:260] loss = 2.5250838, step = 46700 (20.441 sec)\n","INFO:tensorflow:global_step/sec: 4.87618\n","I0309 03:16:06.759111 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87618\n","INFO:tensorflow:loss = 1.8424225, step = 46800 (20.508 sec)\n","I0309 03:16:06.760129 139972636141440 basic_session_run_hooks.py:260] loss = 1.8424225, step = 46800 (20.508 sec)\n","INFO:tensorflow:global_step/sec: 4.86279\n","I0309 03:16:27.323469 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86279\n","INFO:tensorflow:loss = 2.8332143, step = 46900 (20.564 sec)\n","I0309 03:16:27.324618 139972636141440 basic_session_run_hooks.py:260] loss = 2.8332143, step = 46900 (20.564 sec)\n","INFO:tensorflow:global_step/sec: 4.8788\n","I0309 03:16:47.820329 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8788\n","INFO:tensorflow:loss = 4.2159204, step = 47000 (20.497 sec)\n","I0309 03:16:47.821573 139972636141440 basic_session_run_hooks.py:260] loss = 4.2159204, step = 47000 (20.497 sec)\n","INFO:tensorflow:global_step/sec: 4.84626\n","I0309 03:17:08.454758 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84626\n","INFO:tensorflow:loss = 2.3171523, step = 47100 (20.634 sec)\n","I0309 03:17:08.455824 139972636141440 basic_session_run_hooks.py:260] loss = 2.3171523, step = 47100 (20.634 sec)\n","INFO:tensorflow:global_step/sec: 4.84449\n","I0309 03:17:29.096821 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84449\n","INFO:tensorflow:loss = 4.1613693, step = 47200 (20.642 sec)\n","I0309 03:17:29.098168 139972636141440 basic_session_run_hooks.py:260] loss = 4.1613693, step = 47200 (20.642 sec)\n","INFO:tensorflow:global_step/sec: 4.89663\n","I0309 03:17:49.518959 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89663\n","INFO:tensorflow:loss = 2.3068633, step = 47300 (20.422 sec)\n","I0309 03:17:49.519964 139972636141440 basic_session_run_hooks.py:260] loss = 2.3068633, step = 47300 (20.422 sec)\n","INFO:tensorflow:global_step/sec: 4.87762\n","I0309 03:18:10.020758 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87762\n","INFO:tensorflow:loss = 3.0942373, step = 47400 (20.502 sec)\n","I0309 03:18:10.021769 139972636141440 basic_session_run_hooks.py:260] loss = 3.0942373, step = 47400 (20.502 sec)\n","INFO:tensorflow:global_step/sec: 4.89396\n","I0309 03:18:30.454151 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89396\n","INFO:tensorflow:loss = 2.6440024, step = 47500 (20.434 sec)\n","I0309 03:18:30.455314 139972636141440 basic_session_run_hooks.py:260] loss = 2.6440024, step = 47500 (20.434 sec)\n","INFO:tensorflow:global_step/sec: 4.87583\n","I0309 03:18:50.963476 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87583\n","INFO:tensorflow:loss = 1.597057, step = 47600 (20.509 sec)\n","I0309 03:18:50.964482 139972636141440 basic_session_run_hooks.py:260] loss = 1.597057, step = 47600 (20.509 sec)\n","INFO:tensorflow:global_step/sec: 4.85672\n","I0309 03:19:11.553527 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85672\n","INFO:tensorflow:loss = 2.7865648, step = 47700 (20.590 sec)\n","I0309 03:19:11.554368 139972636141440 basic_session_run_hooks.py:260] loss = 2.7865648, step = 47700 (20.590 sec)\n","INFO:tensorflow:global_step/sec: 4.88574\n","I0309 03:19:32.021262 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88574\n","INFO:tensorflow:loss = 1.8173434, step = 47800 (20.468 sec)\n","I0309 03:19:32.022360 139972636141440 basic_session_run_hooks.py:260] loss = 1.8173434, step = 47800 (20.468 sec)\n","INFO:tensorflow:global_step/sec: 4.88474\n","I0309 03:19:52.493163 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88474\n","INFO:tensorflow:loss = 3.9019976, step = 47900 (20.472 sec)\n","I0309 03:19:52.494185 139972636141440 basic_session_run_hooks.py:260] loss = 3.9019976, step = 47900 (20.472 sec)\n","INFO:tensorflow:global_step/sec: 4.88167\n","I0309 03:20:12.977968 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88167\n","INFO:tensorflow:loss = 2.2669833, step = 48000 (20.485 sec)\n","I0309 03:20:12.979050 139972636141440 basic_session_run_hooks.py:260] loss = 2.2669833, step = 48000 (20.485 sec)\n","INFO:tensorflow:global_step/sec: 4.83559\n","I0309 03:20:33.657993 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83559\n","INFO:tensorflow:loss = 3.1131203, step = 48100 (20.680 sec)\n","I0309 03:20:33.658959 139972636141440 basic_session_run_hooks.py:260] loss = 3.1131203, step = 48100 (20.680 sec)\n","INFO:tensorflow:global_step/sec: 4.90529\n","I0309 03:20:54.044152 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90529\n","INFO:tensorflow:loss = 2.3985026, step = 48200 (20.386 sec)\n","I0309 03:20:54.045314 139972636141440 basic_session_run_hooks.py:260] loss = 2.3985026, step = 48200 (20.386 sec)\n","INFO:tensorflow:global_step/sec: 4.83504\n","I0309 03:21:14.726485 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83504\n","INFO:tensorflow:loss = 3.3272052, step = 48300 (20.682 sec)\n","I0309 03:21:14.727606 139972636141440 basic_session_run_hooks.py:260] loss = 3.3272052, step = 48300 (20.682 sec)\n","INFO:tensorflow:global_step/sec: 4.82281\n","I0309 03:21:35.461315 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82281\n","INFO:tensorflow:loss = 2.3897386, step = 48400 (20.735 sec)\n","I0309 03:21:35.462708 139972636141440 basic_session_run_hooks.py:260] loss = 2.3897386, step = 48400 (20.735 sec)\n","INFO:tensorflow:global_step/sec: 4.83602\n","I0309 03:21:56.139435 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83602\n","INFO:tensorflow:loss = 2.6430242, step = 48500 (20.678 sec)\n","I0309 03:21:56.140425 139972636141440 basic_session_run_hooks.py:260] loss = 2.6430242, step = 48500 (20.678 sec)\n","INFO:tensorflow:global_step/sec: 4.84284\n","I0309 03:22:16.788464 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84284\n","INFO:tensorflow:loss = 2.5203726, step = 48600 (20.649 sec)\n","I0309 03:22:16.789677 139972636141440 basic_session_run_hooks.py:260] loss = 2.5203726, step = 48600 (20.649 sec)\n","INFO:tensorflow:global_step/sec: 4.82863\n","I0309 03:22:37.498287 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82863\n","INFO:tensorflow:loss = 1.7328632, step = 48700 (20.710 sec)\n","I0309 03:22:37.499370 139972636141440 basic_session_run_hooks.py:260] loss = 1.7328632, step = 48700 (20.710 sec)\n","INFO:tensorflow:Saving checkpoints for 48711 into training/model.ckpt.\n","I0309 03:22:39.560553 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 48711 into training/model.ckpt.\n","INFO:tensorflow:Skip the current checkpoint eval due to throttle secs (600 secs).\n","I0309 03:22:40.778141 139972636141440 training.py:527] Skip the current checkpoint eval due to throttle secs (600 secs).\n","INFO:tensorflow:global_step/sec: 4.55719\n","I0309 03:22:59.441609 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.55719\n","INFO:tensorflow:loss = 2.0919375, step = 48800 (21.943 sec)\n","I0309 03:22:59.442740 139972636141440 basic_session_run_hooks.py:260] loss = 2.0919375, step = 48800 (21.943 sec)\n","INFO:tensorflow:global_step/sec: 4.81746\n","I0309 03:23:20.199461 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81746\n","INFO:tensorflow:loss = 2.6127524, step = 48900 (20.758 sec)\n","I0309 03:23:20.200320 139972636141440 basic_session_run_hooks.py:260] loss = 2.6127524, step = 48900 (20.758 sec)\n","INFO:tensorflow:global_step/sec: 4.85998\n","I0309 03:23:40.775690 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85998\n","INFO:tensorflow:loss = 2.9306862, step = 49000 (20.577 sec)\n","I0309 03:23:40.776825 139972636141440 basic_session_run_hooks.py:260] loss = 2.9306862, step = 49000 (20.577 sec)\n","INFO:tensorflow:global_step/sec: 4.862\n","I0309 03:24:01.343390 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.862\n","INFO:tensorflow:loss = 2.9758134, step = 49100 (20.567 sec)\n","I0309 03:24:01.344312 139972636141440 basic_session_run_hooks.py:260] loss = 2.9758134, step = 49100 (20.567 sec)\n","INFO:tensorflow:global_step/sec: 4.87404\n","I0309 03:24:21.860242 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87404\n","INFO:tensorflow:loss = 2.4472196, step = 49200 (20.517 sec)\n","I0309 03:24:21.861342 139972636141440 basic_session_run_hooks.py:260] loss = 2.4472196, step = 49200 (20.517 sec)\n","INFO:tensorflow:global_step/sec: 4.856\n","I0309 03:24:42.453329 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.856\n","INFO:tensorflow:loss = 2.3559203, step = 49300 (20.593 sec)\n","I0309 03:24:42.454495 139972636141440 basic_session_run_hooks.py:260] loss = 2.3559203, step = 49300 (20.593 sec)\n","INFO:tensorflow:global_step/sec: 4.85753\n","I0309 03:25:03.039930 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85753\n","INFO:tensorflow:loss = 4.222547, step = 49400 (20.586 sec)\n","I0309 03:25:03.040857 139972636141440 basic_session_run_hooks.py:260] loss = 4.222547, step = 49400 (20.586 sec)\n","INFO:tensorflow:global_step/sec: 4.86027\n","I0309 03:25:23.614880 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86027\n","INFO:tensorflow:loss = 2.2136726, step = 49500 (20.575 sec)\n","I0309 03:25:23.615946 139972636141440 basic_session_run_hooks.py:260] loss = 2.2136726, step = 49500 (20.575 sec)\n","INFO:tensorflow:global_step/sec: 4.85994\n","I0309 03:25:44.191303 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85994\n","INFO:tensorflow:loss = 2.4073262, step = 49600 (20.577 sec)\n","I0309 03:25:44.192452 139972636141440 basic_session_run_hooks.py:260] loss = 2.4073262, step = 49600 (20.577 sec)\n","INFO:tensorflow:global_step/sec: 4.83585\n","I0309 03:26:04.870184 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83585\n","INFO:tensorflow:loss = 2.490626, step = 49700 (20.680 sec)\n","I0309 03:26:04.872613 139972636141440 basic_session_run_hooks.py:260] loss = 2.490626, step = 49700 (20.680 sec)\n","INFO:tensorflow:global_step/sec: 4.8827\n","I0309 03:26:25.350659 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8827\n","INFO:tensorflow:loss = 2.5677373, step = 49800 (20.479 sec)\n","I0309 03:26:25.351707 139972636141440 basic_session_run_hooks.py:260] loss = 2.5677373, step = 49800 (20.479 sec)\n","INFO:tensorflow:global_step/sec: 4.83948\n","I0309 03:26:46.014000 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83948\n","INFO:tensorflow:loss = 1.973349, step = 49900 (20.663 sec)\n","I0309 03:26:46.015126 139972636141440 basic_session_run_hooks.py:260] loss = 1.973349, step = 49900 (20.663 sec)\n","INFO:tensorflow:global_step/sec: 4.87378\n","I0309 03:27:06.531966 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87378\n","INFO:tensorflow:loss = 2.5352426, step = 50000 (20.518 sec)\n","I0309 03:27:06.533102 139972636141440 basic_session_run_hooks.py:260] loss = 2.5352426, step = 50000 (20.518 sec)\n","INFO:tensorflow:global_step/sec: 4.86522\n","I0309 03:27:27.086058 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86522\n","INFO:tensorflow:loss = 2.5198665, step = 50100 (20.554 sec)\n","I0309 03:27:27.087500 139972636141440 basic_session_run_hooks.py:260] loss = 2.5198665, step = 50100 (20.554 sec)\n","INFO:tensorflow:global_step/sec: 4.86631\n","I0309 03:27:47.635507 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86631\n","INFO:tensorflow:loss = 2.4908447, step = 50200 (20.549 sec)\n","I0309 03:27:47.636674 139972636141440 basic_session_run_hooks.py:260] loss = 2.4908447, step = 50200 (20.549 sec)\n","INFO:tensorflow:global_step/sec: 4.8463\n","I0309 03:28:08.269818 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8463\n","INFO:tensorflow:loss = 3.4443946, step = 50300 (20.634 sec)\n","I0309 03:28:08.270902 139972636141440 basic_session_run_hooks.py:260] loss = 3.4443946, step = 50300 (20.634 sec)\n","INFO:tensorflow:global_step/sec: 4.85586\n","I0309 03:28:28.863502 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85586\n","INFO:tensorflow:loss = 3.6607757, step = 50400 (20.594 sec)\n","I0309 03:28:28.864663 139972636141440 basic_session_run_hooks.py:260] loss = 3.6607757, step = 50400 (20.594 sec)\n","INFO:tensorflow:global_step/sec: 4.83969\n","I0309 03:28:49.525950 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83969\n","INFO:tensorflow:loss = 2.1489418, step = 50500 (20.662 sec)\n","I0309 03:28:49.526953 139972636141440 basic_session_run_hooks.py:260] loss = 2.1489418, step = 50500 (20.662 sec)\n","INFO:tensorflow:global_step/sec: 4.8529\n","I0309 03:29:10.132233 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8529\n","INFO:tensorflow:loss = 2.088876, step = 50600 (20.606 sec)\n","I0309 03:29:10.133330 139972636141440 basic_session_run_hooks.py:260] loss = 2.088876, step = 50600 (20.606 sec)\n","INFO:tensorflow:global_step/sec: 4.82694\n","I0309 03:29:30.849273 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82694\n","INFO:tensorflow:loss = 3.2814546, step = 50700 (20.717 sec)\n","I0309 03:29:30.850358 139972636141440 basic_session_run_hooks.py:260] loss = 3.2814546, step = 50700 (20.717 sec)\n","INFO:tensorflow:global_step/sec: 4.8335\n","I0309 03:29:51.538198 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8335\n","INFO:tensorflow:loss = 2.3341947, step = 50800 (20.689 sec)\n","I0309 03:29:51.539560 139972636141440 basic_session_run_hooks.py:260] loss = 2.3341947, step = 50800 (20.689 sec)\n","INFO:tensorflow:global_step/sec: 4.87753\n","I0309 03:30:12.040384 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87753\n","INFO:tensorflow:loss = 2.1578653, step = 50900 (20.502 sec)\n","I0309 03:30:12.041308 139972636141440 basic_session_run_hooks.py:260] loss = 2.1578653, step = 50900 (20.502 sec)\n","INFO:tensorflow:global_step/sec: 4.83367\n","I0309 03:30:32.728610 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83367\n","INFO:tensorflow:loss = 2.7591767, step = 51000 (20.688 sec)\n","I0309 03:30:32.729639 139972636141440 basic_session_run_hooks.py:260] loss = 2.7591767, step = 51000 (20.688 sec)\n","INFO:tensorflow:global_step/sec: 4.86787\n","I0309 03:30:53.271442 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86787\n","INFO:tensorflow:loss = 2.1903224, step = 51100 (20.543 sec)\n","I0309 03:30:53.272411 139972636141440 basic_session_run_hooks.py:260] loss = 2.1903224, step = 51100 (20.543 sec)\n","INFO:tensorflow:global_step/sec: 4.8218\n","I0309 03:31:14.010641 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8218\n","INFO:tensorflow:loss = 2.0734692, step = 51200 (20.739 sec)\n","I0309 03:31:14.011814 139972636141440 basic_session_run_hooks.py:260] loss = 2.0734692, step = 51200 (20.739 sec)\n","INFO:tensorflow:global_step/sec: 4.84384\n","I0309 03:31:34.655381 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84384\n","INFO:tensorflow:loss = 3.1315515, step = 51300 (20.645 sec)\n","I0309 03:31:34.656348 139972636141440 basic_session_run_hooks.py:260] loss = 3.1315515, step = 51300 (20.645 sec)\n","INFO:tensorflow:global_step/sec: 4.84804\n","I0309 03:31:55.282279 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84804\n","INFO:tensorflow:loss = 2.1698713, step = 51400 (20.627 sec)\n","I0309 03:31:55.283293 139972636141440 basic_session_run_hooks.py:260] loss = 2.1698713, step = 51400 (20.627 sec)\n","INFO:tensorflow:global_step/sec: 4.86905\n","I0309 03:32:15.820144 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86905\n","INFO:tensorflow:loss = 2.6790814, step = 51500 (20.538 sec)\n","I0309 03:32:15.821151 139972636141440 basic_session_run_hooks.py:260] loss = 2.6790814, step = 51500 (20.538 sec)\n","INFO:tensorflow:global_step/sec: 4.85806\n","I0309 03:32:36.404547 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85806\n","INFO:tensorflow:loss = 2.5578828, step = 51600 (20.584 sec)\n","I0309 03:32:36.405641 139972636141440 basic_session_run_hooks.py:260] loss = 2.5578828, step = 51600 (20.584 sec)\n","INFO:tensorflow:Saving checkpoints for 51617 into training/model.ckpt.\n","I0309 03:32:39.741332 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 51617 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:32:40.990725 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:32:40.991348 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 03:32:40.991488 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d7a01d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 03:32:41.029870 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d7a01d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d7c8830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 03:32:41.195583 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d7c8830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 03:32:42.044170 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:32:43.990356 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:32:44.018841 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:32:44.047055 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:32:44.074582 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:32:44.102091 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:32:44.129253 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 03:32:45.461024 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T03:32:45Z\n","I0309 03:32:45.475843 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T03:32:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 03:32:45.860558 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 03:32:45.861331: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:32:45.861851: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 03:32:45.861953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 03:32:45.861993: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 03:32:45.862026: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 03:32:45.862053: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 03:32:45.862076: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 03:32:45.862098: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 03:32:45.862121: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 03:32:45.862227: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:32:45.862763: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:32:45.863195: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 03:32:45.863316: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 03:32:45.863333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 03:32:45.863344: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 03:32:45.863453: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:32:45.863935: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:32:45.864373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-51617\n","I0309 03:32:45.865531 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-51617\n","INFO:tensorflow:Running local_init_op.\n","I0309 03:32:46.758175 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 03:32:46.884912 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 03:32:50.395518 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 03:32:50.395997 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 03:32:50.400033 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.53s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.137\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.353\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.095\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.025\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.162\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.623\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.158\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.283\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.312\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.097\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.376\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700\n","INFO:tensorflow:Finished evaluation at 2021-03-09-03:32:51\n","I0309 03:32:51.246006 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-03:32:51\n","INFO:tensorflow:Saving dict for global step 51617: DetectionBoxes_Precision/mAP = 0.13664879, DetectionBoxes_Precision/mAP (large) = 0.6228424, DetectionBoxes_Precision/mAP (medium) = 0.16202104, DetectionBoxes_Precision/mAP (small) = 0.024778673, DetectionBoxes_Precision/mAP@.50IOU = 0.35300064, DetectionBoxes_Precision/mAP@.75IOU = 0.094777904, DetectionBoxes_Recall/AR@1 = 0.15754685, DetectionBoxes_Recall/AR@10 = 0.28303212, DetectionBoxes_Recall/AR@100 = 0.3123494, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.37601328, DetectionBoxes_Recall/AR@100 (small) = 0.09700855, Loss/classification_loss = 9.027774, Loss/localization_loss = 1.3903415, Loss/regularization_loss = 0.36062816, Loss/total_loss = 10.778743, global_step = 51617, learning_rate = 0.004, loss = 10.778743\n","I0309 03:32:51.246294 139972636141440 estimator.py:2049] Saving dict for global step 51617: DetectionBoxes_Precision/mAP = 0.13664879, DetectionBoxes_Precision/mAP (large) = 0.6228424, DetectionBoxes_Precision/mAP (medium) = 0.16202104, DetectionBoxes_Precision/mAP (small) = 0.024778673, DetectionBoxes_Precision/mAP@.50IOU = 0.35300064, DetectionBoxes_Precision/mAP@.75IOU = 0.094777904, DetectionBoxes_Recall/AR@1 = 0.15754685, DetectionBoxes_Recall/AR@10 = 0.28303212, DetectionBoxes_Recall/AR@100 = 0.3123494, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.37601328, DetectionBoxes_Recall/AR@100 (small) = 0.09700855, Loss/classification_loss = 9.027774, Loss/localization_loss = 1.3903415, Loss/regularization_loss = 0.36062816, Loss/total_loss = 10.778743, global_step = 51617, learning_rate = 0.004, loss = 10.778743\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 51617: training/model.ckpt-51617\n","I0309 03:32:51.249489 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 51617: training/model.ckpt-51617\n","INFO:tensorflow:global_step/sec: 3.11689\n","I0309 03:33:08.487801 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.11689\n","INFO:tensorflow:loss = 2.4385371, step = 51700 (32.083 sec)\n","I0309 03:33:08.489074 139972636141440 basic_session_run_hooks.py:260] loss = 2.4385371, step = 51700 (32.083 sec)\n","INFO:tensorflow:global_step/sec: 4.85313\n","I0309 03:33:29.093007 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85313\n","INFO:tensorflow:loss = 2.6922874, step = 51800 (20.605 sec)\n","I0309 03:33:29.094079 139972636141440 basic_session_run_hooks.py:260] loss = 2.6922874, step = 51800 (20.605 sec)\n","INFO:tensorflow:global_step/sec: 4.87328\n","I0309 03:33:49.613210 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87328\n","INFO:tensorflow:loss = 2.5131145, step = 51900 (20.520 sec)\n","I0309 03:33:49.614373 139972636141440 basic_session_run_hooks.py:260] loss = 2.5131145, step = 51900 (20.520 sec)\n","INFO:tensorflow:global_step/sec: 4.85819\n","I0309 03:34:10.196850 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85819\n","INFO:tensorflow:loss = 1.7773628, step = 52000 (20.584 sec)\n","I0309 03:34:10.198006 139972636141440 basic_session_run_hooks.py:260] loss = 1.7773628, step = 52000 (20.584 sec)\n","INFO:tensorflow:global_step/sec: 4.84708\n","I0309 03:34:30.827840 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84708\n","INFO:tensorflow:loss = 2.8281555, step = 52100 (20.631 sec)\n","I0309 03:34:30.828777 139972636141440 basic_session_run_hooks.py:260] loss = 2.8281555, step = 52100 (20.631 sec)\n","INFO:tensorflow:global_step/sec: 4.87233\n","I0309 03:34:51.351881 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87233\n","INFO:tensorflow:loss = 2.4271493, step = 52200 (20.524 sec)\n","I0309 03:34:51.353089 139972636141440 basic_session_run_hooks.py:260] loss = 2.4271493, step = 52200 (20.524 sec)\n","INFO:tensorflow:global_step/sec: 4.87831\n","I0309 03:35:11.850805 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87831\n","INFO:tensorflow:loss = 3.2453594, step = 52300 (20.499 sec)\n","I0309 03:35:11.851928 139972636141440 basic_session_run_hooks.py:260] loss = 3.2453594, step = 52300 (20.499 sec)\n","INFO:tensorflow:global_step/sec: 4.83436\n","I0309 03:35:32.536062 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83436\n","INFO:tensorflow:loss = 2.900368, step = 52400 (20.686 sec)\n","I0309 03:35:32.537459 139972636141440 basic_session_run_hooks.py:260] loss = 2.900368, step = 52400 (20.686 sec)\n","INFO:tensorflow:global_step/sec: 4.85131\n","I0309 03:35:53.149021 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85131\n","INFO:tensorflow:loss = 2.2371354, step = 52500 (20.613 sec)\n","I0309 03:35:53.150198 139972636141440 basic_session_run_hooks.py:260] loss = 2.2371354, step = 52500 (20.613 sec)\n","INFO:tensorflow:global_step/sec: 4.89933\n","I0309 03:36:13.559962 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89933\n","INFO:tensorflow:loss = 2.8106678, step = 52600 (20.411 sec)\n","I0309 03:36:13.561289 139972636141440 basic_session_run_hooks.py:260] loss = 2.8106678, step = 52600 (20.411 sec)\n","INFO:tensorflow:global_step/sec: 4.85567\n","I0309 03:36:34.154444 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85567\n","INFO:tensorflow:loss = 2.295342, step = 52700 (20.594 sec)\n","I0309 03:36:34.155361 139972636141440 basic_session_run_hooks.py:260] loss = 2.295342, step = 52700 (20.594 sec)\n","INFO:tensorflow:global_step/sec: 4.86978\n","I0309 03:36:54.689268 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86978\n","INFO:tensorflow:loss = 1.9798402, step = 52800 (20.535 sec)\n","I0309 03:36:54.690102 139972636141440 basic_session_run_hooks.py:260] loss = 1.9798402, step = 52800 (20.535 sec)\n","INFO:tensorflow:global_step/sec: 4.88396\n","I0309 03:37:15.164415 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88396\n","INFO:tensorflow:loss = 3.181066, step = 52900 (20.476 sec)\n","I0309 03:37:15.165603 139972636141440 basic_session_run_hooks.py:260] loss = 3.181066, step = 52900 (20.476 sec)\n","INFO:tensorflow:global_step/sec: 4.84918\n","I0309 03:37:35.786476 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84918\n","INFO:tensorflow:loss = 3.2017357, step = 53000 (20.622 sec)\n","I0309 03:37:35.787643 139972636141440 basic_session_run_hooks.py:260] loss = 3.2017357, step = 53000 (20.622 sec)\n","INFO:tensorflow:global_step/sec: 4.8493\n","I0309 03:37:56.407992 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8493\n","INFO:tensorflow:loss = 1.8517928, step = 53100 (20.621 sec)\n","I0309 03:37:56.409006 139972636141440 basic_session_run_hooks.py:260] loss = 1.8517928, step = 53100 (20.621 sec)\n","INFO:tensorflow:global_step/sec: 4.85587\n","I0309 03:38:17.001632 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85587\n","INFO:tensorflow:loss = 2.2245474, step = 53200 (20.594 sec)\n","I0309 03:38:17.003087 139972636141440 basic_session_run_hooks.py:260] loss = 2.2245474, step = 53200 (20.594 sec)\n","INFO:tensorflow:global_step/sec: 4.86204\n","I0309 03:38:37.569100 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86204\n","INFO:tensorflow:loss = 3.016051, step = 53300 (20.567 sec)\n","I0309 03:38:37.570047 139972636141440 basic_session_run_hooks.py:260] loss = 3.016051, step = 53300 (20.567 sec)\n","INFO:tensorflow:global_step/sec: 4.85586\n","I0309 03:38:58.162778 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85586\n","INFO:tensorflow:loss = 2.9974632, step = 53400 (20.594 sec)\n","I0309 03:38:58.163728 139972636141440 basic_session_run_hooks.py:260] loss = 2.9974632, step = 53400 (20.594 sec)\n","INFO:tensorflow:global_step/sec: 4.87747\n","I0309 03:39:18.665196 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87747\n","INFO:tensorflow:loss = 2.2900991, step = 53500 (20.503 sec)\n","I0309 03:39:18.666295 139972636141440 basic_session_run_hooks.py:260] loss = 2.2900991, step = 53500 (20.503 sec)\n","INFO:tensorflow:global_step/sec: 4.85422\n","I0309 03:39:39.265805 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85422\n","INFO:tensorflow:loss = 3.1018047, step = 53600 (20.601 sec)\n","I0309 03:39:39.266926 139972636141440 basic_session_run_hooks.py:260] loss = 3.1018047, step = 53600 (20.601 sec)\n","INFO:tensorflow:global_step/sec: 4.89266\n","I0309 03:39:59.704617 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89266\n","INFO:tensorflow:loss = 2.7432265, step = 53700 (20.439 sec)\n","I0309 03:39:59.705711 139972636141440 basic_session_run_hooks.py:260] loss = 2.7432265, step = 53700 (20.439 sec)\n","INFO:tensorflow:global_step/sec: 4.89193\n","I0309 03:40:20.146457 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89193\n","INFO:tensorflow:loss = 1.9310169, step = 53800 (20.442 sec)\n","I0309 03:40:20.147739 139972636141440 basic_session_run_hooks.py:260] loss = 1.9310169, step = 53800 (20.442 sec)\n","INFO:tensorflow:global_step/sec: 4.84651\n","I0309 03:40:40.779866 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84651\n","INFO:tensorflow:loss = 2.3636317, step = 53900 (20.633 sec)\n","I0309 03:40:40.780971 139972636141440 basic_session_run_hooks.py:260] loss = 2.3636317, step = 53900 (20.633 sec)\n","INFO:tensorflow:global_step/sec: 4.87527\n","I0309 03:41:01.291555 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87527\n","INFO:tensorflow:loss = 2.4993613, step = 54000 (20.512 sec)\n","I0309 03:41:01.292615 139972636141440 basic_session_run_hooks.py:260] loss = 2.4993613, step = 54000 (20.512 sec)\n","INFO:tensorflow:global_step/sec: 4.82777\n","I0309 03:41:22.005073 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82777\n","INFO:tensorflow:loss = 2.643331, step = 54100 (20.714 sec)\n","I0309 03:41:22.006234 139972636141440 basic_session_run_hooks.py:260] loss = 2.643331, step = 54100 (20.714 sec)\n","INFO:tensorflow:global_step/sec: 4.8679\n","I0309 03:41:42.547827 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8679\n","INFO:tensorflow:loss = 1.7767692, step = 54200 (20.543 sec)\n","I0309 03:41:42.548826 139972636141440 basic_session_run_hooks.py:260] loss = 1.7767692, step = 54200 (20.543 sec)\n","INFO:tensorflow:global_step/sec: 4.85824\n","I0309 03:42:03.131422 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85824\n","INFO:tensorflow:loss = 3.7945173, step = 54300 (20.584 sec)\n","I0309 03:42:03.132517 139972636141440 basic_session_run_hooks.py:260] loss = 3.7945173, step = 54300 (20.584 sec)\n","INFO:tensorflow:global_step/sec: 4.86138\n","I0309 03:42:23.701710 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86138\n","INFO:tensorflow:loss = 2.306017, step = 54400 (20.570 sec)\n","I0309 03:42:23.702726 139972636141440 basic_session_run_hooks.py:260] loss = 2.306017, step = 54400 (20.570 sec)\n","INFO:tensorflow:Saving checkpoints for 54479 into training/model.ckpt.\n","I0309 03:42:39.796024 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 54479 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:42:41.086605 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:42:41.087114 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 03:42:41.087262 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4ce67c3450>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 03:42:41.124744 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4ce67c3450>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4ce67ed7a0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 03:42:41.282569 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4ce67ed7a0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 03:42:41.766505 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:42:43.748131 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:42:44.078838 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:42:44.107717 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:42:44.137435 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:42:44.166920 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:42:44.196388 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 03:42:45.527498 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T03:42:45Z\n","I0309 03:42:45.542481 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T03:42:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 03:42:45.928039 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 03:42:45.928712: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:42:45.929258: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 03:42:45.929368: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 03:42:45.929398: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 03:42:45.929425: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 03:42:45.929448: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 03:42:45.929470: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 03:42:45.929493: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 03:42:45.929517: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 03:42:45.929610: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:42:45.930177: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:42:45.930630: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 03:42:45.930680: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 03:42:45.930695: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 03:42:45.930706: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 03:42:45.930821: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:42:45.931361: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:42:45.931823: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-54479\n","I0309 03:42:45.932951 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-54479\n","INFO:tensorflow:Running local_init_op.\n","I0309 03:42:46.863310 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 03:42:47.002059 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 03:42:50.539902 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 03:42:50.540555 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 03:42:50.543350 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.55s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.194\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.449\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.150\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.045\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.232\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.688\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.204\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.334\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.353\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.438\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700\n","INFO:tensorflow:Finished evaluation at 2021-03-09-03:42:51\n","I0309 03:42:51.400048 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-03:42:51\n","INFO:tensorflow:Saving dict for global step 54479: DetectionBoxes_Precision/mAP = 0.19434513, DetectionBoxes_Precision/mAP (large) = 0.6875766, DetectionBoxes_Precision/mAP (medium) = 0.23181663, DetectionBoxes_Precision/mAP (small) = 0.04549558, DetectionBoxes_Precision/mAP@.50IOU = 0.4490152, DetectionBoxes_Precision/mAP@.75IOU = 0.15028867, DetectionBoxes_Recall/AR@1 = 0.20381527, DetectionBoxes_Recall/AR@10 = 0.33370146, DetectionBoxes_Recall/AR@100 = 0.35292837, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.43780398, DetectionBoxes_Recall/AR@100 (small) = 0.099358976, Loss/classification_loss = 8.246038, Loss/localization_loss = 1.3197316, Loss/regularization_loss = 0.36258188, Loss/total_loss = 9.928352, global_step = 54479, learning_rate = 0.004, loss = 9.928352\n","I0309 03:42:51.400333 139972636141440 estimator.py:2049] Saving dict for global step 54479: DetectionBoxes_Precision/mAP = 0.19434513, DetectionBoxes_Precision/mAP (large) = 0.6875766, DetectionBoxes_Precision/mAP (medium) = 0.23181663, DetectionBoxes_Precision/mAP (small) = 0.04549558, DetectionBoxes_Precision/mAP@.50IOU = 0.4490152, DetectionBoxes_Precision/mAP@.75IOU = 0.15028867, DetectionBoxes_Recall/AR@1 = 0.20381527, DetectionBoxes_Recall/AR@10 = 0.33370146, DetectionBoxes_Recall/AR@100 = 0.35292837, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.43780398, DetectionBoxes_Recall/AR@100 (small) = 0.099358976, Loss/classification_loss = 8.246038, Loss/localization_loss = 1.3197316, Loss/regularization_loss = 0.36258188, Loss/total_loss = 9.928352, global_step = 54479, learning_rate = 0.004, loss = 9.928352\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 54479: training/model.ckpt-54479\n","I0309 03:42:51.403693 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 54479: training/model.ckpt-54479\n","INFO:tensorflow:global_step/sec: 3.10076\n","I0309 03:42:55.951912 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.10076\n","INFO:tensorflow:loss = 2.9852958, step = 54500 (32.250 sec)\n","I0309 03:42:55.953053 139972636141440 basic_session_run_hooks.py:260] loss = 2.9852958, step = 54500 (32.250 sec)\n","INFO:tensorflow:global_step/sec: 4.84485\n","I0309 03:43:16.592374 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84485\n","INFO:tensorflow:loss = 2.7110405, step = 54600 (20.640 sec)\n","I0309 03:43:16.593461 139972636141440 basic_session_run_hooks.py:260] loss = 2.7110405, step = 54600 (20.640 sec)\n","INFO:tensorflow:global_step/sec: 4.88332\n","I0309 03:43:37.070239 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88332\n","INFO:tensorflow:loss = 2.9132257, step = 54700 (20.478 sec)\n","I0309 03:43:37.071350 139972636141440 basic_session_run_hooks.py:260] loss = 2.9132257, step = 54700 (20.478 sec)\n","INFO:tensorflow:global_step/sec: 4.85985\n","I0309 03:43:57.646993 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85985\n","INFO:tensorflow:loss = 1.838718, step = 54800 (20.577 sec)\n","I0309 03:43:57.647999 139972636141440 basic_session_run_hooks.py:260] loss = 1.838718, step = 54800 (20.577 sec)\n","INFO:tensorflow:global_step/sec: 4.88929\n","I0309 03:44:18.099878 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88929\n","INFO:tensorflow:loss = 1.765039, step = 54900 (20.453 sec)\n","I0309 03:44:18.101038 139972636141440 basic_session_run_hooks.py:260] loss = 1.765039, step = 54900 (20.453 sec)\n","INFO:tensorflow:global_step/sec: 4.84116\n","I0309 03:44:38.756074 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84116\n","INFO:tensorflow:loss = 1.8560195, step = 55000 (20.656 sec)\n","I0309 03:44:38.757358 139972636141440 basic_session_run_hooks.py:260] loss = 1.8560195, step = 55000 (20.656 sec)\n","INFO:tensorflow:global_step/sec: 4.86527\n","I0309 03:44:59.309893 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86527\n","INFO:tensorflow:loss = 1.9578542, step = 55100 (20.553 sec)\n","I0309 03:44:59.310860 139972636141440 basic_session_run_hooks.py:260] loss = 1.9578542, step = 55100 (20.553 sec)\n","INFO:tensorflow:global_step/sec: 4.88649\n","I0309 03:45:19.774488 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88649\n","INFO:tensorflow:loss = 1.9997215, step = 55200 (20.465 sec)\n","I0309 03:45:19.775710 139972636141440 basic_session_run_hooks.py:260] loss = 1.9997215, step = 55200 (20.465 sec)\n","INFO:tensorflow:global_step/sec: 4.83733\n","I0309 03:45:40.447062 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83733\n","INFO:tensorflow:loss = 2.575062, step = 55300 (20.672 sec)\n","I0309 03:45:40.448149 139972636141440 basic_session_run_hooks.py:260] loss = 2.575062, step = 55300 (20.672 sec)\n","INFO:tensorflow:global_step/sec: 4.85666\n","I0309 03:46:01.037325 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85666\n","INFO:tensorflow:loss = 2.760377, step = 55400 (20.590 sec)\n","I0309 03:46:01.038292 139972636141440 basic_session_run_hooks.py:260] loss = 2.760377, step = 55400 (20.590 sec)\n","INFO:tensorflow:global_step/sec: 4.8812\n","I0309 03:46:21.524086 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8812\n","INFO:tensorflow:loss = 2.5834115, step = 55500 (20.487 sec)\n","I0309 03:46:21.524985 139972636141440 basic_session_run_hooks.py:260] loss = 2.5834115, step = 55500 (20.487 sec)\n","INFO:tensorflow:global_step/sec: 4.85125\n","I0309 03:46:42.137339 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85125\n","INFO:tensorflow:loss = 3.456873, step = 55600 (20.613 sec)\n","I0309 03:46:42.138360 139972636141440 basic_session_run_hooks.py:260] loss = 3.456873, step = 55600 (20.613 sec)\n","INFO:tensorflow:global_step/sec: 4.84572\n","I0309 03:47:02.774110 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84572\n","INFO:tensorflow:loss = 3.4127786, step = 55700 (20.637 sec)\n","I0309 03:47:02.775315 139972636141440 basic_session_run_hooks.py:260] loss = 3.4127786, step = 55700 (20.637 sec)\n","INFO:tensorflow:global_step/sec: 4.865\n","I0309 03:47:23.329085 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.865\n","INFO:tensorflow:loss = 2.0997162, step = 55800 (20.555 sec)\n","I0309 03:47:23.330125 139972636141440 basic_session_run_hooks.py:260] loss = 2.0997162, step = 55800 (20.555 sec)\n","INFO:tensorflow:global_step/sec: 4.86194\n","I0309 03:47:43.896985 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86194\n","INFO:tensorflow:loss = 2.1465774, step = 55900 (20.568 sec)\n","I0309 03:47:43.898167 139972636141440 basic_session_run_hooks.py:260] loss = 2.1465774, step = 55900 (20.568 sec)\n","INFO:tensorflow:global_step/sec: 4.84858\n","I0309 03:48:04.521582 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84858\n","INFO:tensorflow:loss = 3.7570286, step = 56000 (20.624 sec)\n","I0309 03:48:04.522553 139972636141440 basic_session_run_hooks.py:260] loss = 3.7570286, step = 56000 (20.624 sec)\n","INFO:tensorflow:global_step/sec: 4.8458\n","I0309 03:48:25.158089 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8458\n","INFO:tensorflow:loss = 2.3801365, step = 56100 (20.637 sec)\n","I0309 03:48:25.159385 139972636141440 basic_session_run_hooks.py:260] loss = 2.3801365, step = 56100 (20.637 sec)\n","INFO:tensorflow:global_step/sec: 4.85798\n","I0309 03:48:45.742712 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85798\n","INFO:tensorflow:loss = 2.1094098, step = 56200 (20.585 sec)\n","I0309 03:48:45.744028 139972636141440 basic_session_run_hooks.py:260] loss = 2.1094098, step = 56200 (20.585 sec)\n","INFO:tensorflow:global_step/sec: 4.85313\n","I0309 03:49:06.347939 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85313\n","INFO:tensorflow:loss = 3.0853505, step = 56300 (20.605 sec)\n","I0309 03:49:06.348840 139972636141440 basic_session_run_hooks.py:260] loss = 3.0853505, step = 56300 (20.605 sec)\n","INFO:tensorflow:global_step/sec: 4.85604\n","I0309 03:49:26.940839 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85604\n","INFO:tensorflow:loss = 1.717328, step = 56400 (20.593 sec)\n","I0309 03:49:26.941993 139972636141440 basic_session_run_hooks.py:260] loss = 1.717328, step = 56400 (20.593 sec)\n","INFO:tensorflow:global_step/sec: 4.88126\n","I0309 03:49:47.427388 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88126\n","INFO:tensorflow:loss = 2.597801, step = 56500 (20.486 sec)\n","I0309 03:49:47.428489 139972636141440 basic_session_run_hooks.py:260] loss = 2.597801, step = 56500 (20.486 sec)\n","INFO:tensorflow:global_step/sec: 4.84383\n","I0309 03:50:08.072160 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84383\n","INFO:tensorflow:loss = 3.212566, step = 56600 (20.645 sec)\n","I0309 03:50:08.073361 139972636141440 basic_session_run_hooks.py:260] loss = 3.212566, step = 56600 (20.645 sec)\n","INFO:tensorflow:global_step/sec: 4.82919\n","I0309 03:50:28.779574 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82919\n","INFO:tensorflow:loss = 1.6100886, step = 56700 (20.707 sec)\n","I0309 03:50:28.780431 139972636141440 basic_session_run_hooks.py:260] loss = 1.6100886, step = 56700 (20.707 sec)\n","INFO:tensorflow:global_step/sec: 4.86199\n","I0309 03:50:49.347302 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86199\n","INFO:tensorflow:loss = 2.7914925, step = 56800 (20.568 sec)\n","I0309 03:50:49.348531 139972636141440 basic_session_run_hooks.py:260] loss = 2.7914925, step = 56800 (20.568 sec)\n","INFO:tensorflow:global_step/sec: 4.83975\n","I0309 03:51:10.009480 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83975\n","INFO:tensorflow:loss = 2.5694263, step = 56900 (20.662 sec)\n","I0309 03:51:10.010467 139972636141440 basic_session_run_hooks.py:260] loss = 2.5694263, step = 56900 (20.662 sec)\n","INFO:tensorflow:global_step/sec: 4.86351\n","I0309 03:51:30.570849 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86351\n","INFO:tensorflow:loss = 3.0843365, step = 57000 (20.561 sec)\n","I0309 03:51:30.571929 139972636141440 basic_session_run_hooks.py:260] loss = 3.0843365, step = 57000 (20.561 sec)\n","INFO:tensorflow:global_step/sec: 4.85711\n","I0309 03:51:51.159194 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85711\n","INFO:tensorflow:loss = 2.436159, step = 57100 (20.588 sec)\n","I0309 03:51:51.160291 139972636141440 basic_session_run_hooks.py:260] loss = 2.436159, step = 57100 (20.588 sec)\n","INFO:tensorflow:global_step/sec: 4.82302\n","I0309 03:52:11.893089 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82302\n","INFO:tensorflow:loss = 2.0184412, step = 57200 (20.734 sec)\n","I0309 03:52:11.894000 139972636141440 basic_session_run_hooks.py:260] loss = 2.0184412, step = 57200 (20.734 sec)\n","INFO:tensorflow:global_step/sec: 4.85028\n","I0309 03:52:32.510479 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85028\n","INFO:tensorflow:loss = 3.5762618, step = 57300 (20.617 sec)\n","I0309 03:52:32.511445 139972636141440 basic_session_run_hooks.py:260] loss = 3.5762618, step = 57300 (20.617 sec)\n","INFO:tensorflow:Saving checkpoints for 57337 into training/model.ckpt.\n","I0309 03:52:39.911172 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 57337 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:52:41.200107 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 03:52:41.200794 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 03:52:41.200968 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4cdc2db150>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 03:52:41.244187 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4cdc2db150>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4cdcef9830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 03:52:41.417355 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4cdcef9830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 03:52:41.915276 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:52:43.875701 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:52:43.903654 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:52:43.931205 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:52:43.959484 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:52:43.991292 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 03:52:44.018640 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 03:52:45.357686 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T03:52:45Z\n","I0309 03:52:45.373368 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T03:52:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 03:52:45.761790 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 03:52:45.762533: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:52:45.763113: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 03:52:45.763376: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 03:52:45.763418: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 03:52:45.763448: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 03:52:45.763470: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 03:52:45.763492: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 03:52:45.763514: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 03:52:45.763537: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 03:52:45.763633: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:52:45.764118: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:52:45.764530: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 03:52:45.764639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 03:52:45.764655: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 03:52:45.764664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 03:52:45.764762: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:52:45.765237: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 03:52:45.765647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-57337\n","I0309 03:52:45.766747 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-57337\n","INFO:tensorflow:Running local_init_op.\n","I0309 03:52:46.646295 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 03:52:46.769463 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 03:52:50.510606 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 03:52:50.511029 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.01s)\n","I0309 03:52:50.517114 139970110560000 coco_tools.py:138] DONE (t=0.01s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.53s).\n","Accumulating evaluation results...\n","DONE (t=0.11s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.152\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.349\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.109\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.023\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.220\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.608\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.191\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.307\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.356\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.117\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.440\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.683\n","INFO:tensorflow:Finished evaluation at 2021-03-09-03:52:51\n","I0309 03:52:51.372630 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-03:52:51\n","INFO:tensorflow:Saving dict for global step 57337: DetectionBoxes_Precision/mAP = 0.15248099, DetectionBoxes_Precision/mAP (large) = 0.6081149, DetectionBoxes_Precision/mAP (medium) = 0.22031392, DetectionBoxes_Precision/mAP (small) = 0.02288738, DetectionBoxes_Precision/mAP@.50IOU = 0.34889907, DetectionBoxes_Precision/mAP@.75IOU = 0.10904391, DetectionBoxes_Recall/AR@1 = 0.19111446, DetectionBoxes_Recall/AR@10 = 0.30674365, DetectionBoxes_Recall/AR@100 = 0.35605755, DetectionBoxes_Recall/AR@100 (large) = 0.68333334, DetectionBoxes_Recall/AR@100 (medium) = 0.4403832, DetectionBoxes_Recall/AR@100 (small) = 0.11709402, Loss/classification_loss = 8.4681015, Loss/localization_loss = 1.317555, Loss/regularization_loss = 0.36428452, Loss/total_loss = 10.1499405, global_step = 57337, learning_rate = 0.004, loss = 10.1499405\n","I0309 03:52:51.372885 139972636141440 estimator.py:2049] Saving dict for global step 57337: DetectionBoxes_Precision/mAP = 0.15248099, DetectionBoxes_Precision/mAP (large) = 0.6081149, DetectionBoxes_Precision/mAP (medium) = 0.22031392, DetectionBoxes_Precision/mAP (small) = 0.02288738, DetectionBoxes_Precision/mAP@.50IOU = 0.34889907, DetectionBoxes_Precision/mAP@.75IOU = 0.10904391, DetectionBoxes_Recall/AR@1 = 0.19111446, DetectionBoxes_Recall/AR@10 = 0.30674365, DetectionBoxes_Recall/AR@100 = 0.35605755, DetectionBoxes_Recall/AR@100 (large) = 0.68333334, DetectionBoxes_Recall/AR@100 (medium) = 0.4403832, DetectionBoxes_Recall/AR@100 (small) = 0.11709402, Loss/classification_loss = 8.4681015, Loss/localization_loss = 1.317555, Loss/regularization_loss = 0.36428452, Loss/total_loss = 10.1499405, global_step = 57337, learning_rate = 0.004, loss = 10.1499405\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 57337: training/model.ckpt-57337\n","I0309 03:52:51.376183 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 57337: training/model.ckpt-57337\n","INFO:tensorflow:global_step/sec: 3.11959\n","I0309 03:53:04.565938 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.11959\n","INFO:tensorflow:loss = 3.727291, step = 57400 (32.056 sec)\n","I0309 03:53:04.566947 139972636141440 basic_session_run_hooks.py:260] loss = 3.727291, step = 57400 (32.056 sec)\n","INFO:tensorflow:global_step/sec: 4.89888\n","I0309 03:53:24.978765 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89888\n","INFO:tensorflow:loss = 3.0602143, step = 57500 (20.413 sec)\n","I0309 03:53:24.979660 139972636141440 basic_session_run_hooks.py:260] loss = 3.0602143, step = 57500 (20.413 sec)\n","INFO:tensorflow:global_step/sec: 4.83267\n","I0309 03:53:45.671296 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83267\n","INFO:tensorflow:loss = 1.5155767, step = 57600 (20.693 sec)\n","I0309 03:53:45.672425 139972636141440 basic_session_run_hooks.py:260] loss = 1.5155767, step = 57600 (20.693 sec)\n","INFO:tensorflow:global_step/sec: 4.8842\n","I0309 03:54:06.145442 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8842\n","INFO:tensorflow:loss = 1.8156579, step = 57700 (20.474 sec)\n","I0309 03:54:06.146620 139972636141440 basic_session_run_hooks.py:260] loss = 1.8156579, step = 57700 (20.474 sec)\n","INFO:tensorflow:global_step/sec: 4.83944\n","I0309 03:54:26.809008 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83944\n","INFO:tensorflow:loss = 4.414088, step = 57800 (20.664 sec)\n","I0309 03:54:26.810814 139972636141440 basic_session_run_hooks.py:260] loss = 4.414088, step = 57800 (20.664 sec)\n","INFO:tensorflow:global_step/sec: 4.84189\n","I0309 03:54:47.462041 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84189\n","INFO:tensorflow:loss = 2.681027, step = 57900 (20.652 sec)\n","I0309 03:54:47.463084 139972636141440 basic_session_run_hooks.py:260] loss = 2.681027, step = 57900 (20.652 sec)\n","INFO:tensorflow:global_step/sec: 4.83866\n","I0309 03:55:08.128916 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83866\n","INFO:tensorflow:loss = 2.3173275, step = 58000 (20.667 sec)\n","I0309 03:55:08.130025 139972636141440 basic_session_run_hooks.py:260] loss = 2.3173275, step = 58000 (20.667 sec)\n","INFO:tensorflow:global_step/sec: 4.86027\n","I0309 03:55:28.703909 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86027\n","INFO:tensorflow:loss = 3.0827346, step = 58100 (20.575 sec)\n","I0309 03:55:28.704851 139972636141440 basic_session_run_hooks.py:260] loss = 3.0827346, step = 58100 (20.575 sec)\n","INFO:tensorflow:global_step/sec: 4.83502\n","I0309 03:55:49.386336 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83502\n","INFO:tensorflow:loss = 2.6076853, step = 58200 (20.683 sec)\n","I0309 03:55:49.387397 139972636141440 basic_session_run_hooks.py:260] loss = 2.6076853, step = 58200 (20.683 sec)\n","INFO:tensorflow:global_step/sec: 4.83844\n","I0309 03:56:10.054159 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83844\n","INFO:tensorflow:loss = 2.297503, step = 58300 (20.668 sec)\n","I0309 03:56:10.055510 139972636141440 basic_session_run_hooks.py:260] loss = 2.297503, step = 58300 (20.668 sec)\n","INFO:tensorflow:global_step/sec: 4.86351\n","I0309 03:56:30.615410 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86351\n","INFO:tensorflow:loss = 2.2620938, step = 58400 (20.561 sec)\n","I0309 03:56:30.616426 139972636141440 basic_session_run_hooks.py:260] loss = 2.2620938, step = 58400 (20.561 sec)\n","INFO:tensorflow:global_step/sec: 4.88332\n","I0309 03:56:51.093267 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88332\n","INFO:tensorflow:loss = 2.3021913, step = 58500 (20.478 sec)\n","I0309 03:56:51.094164 139972636141440 basic_session_run_hooks.py:260] loss = 2.3021913, step = 58500 (20.478 sec)\n","INFO:tensorflow:global_step/sec: 4.85344\n","I0309 03:57:11.697233 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85344\n","INFO:tensorflow:loss = 1.717038, step = 58600 (20.604 sec)\n","I0309 03:57:11.698166 139972636141440 basic_session_run_hooks.py:260] loss = 1.717038, step = 58600 (20.604 sec)\n","INFO:tensorflow:global_step/sec: 4.83131\n","I0309 03:57:32.395556 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83131\n","INFO:tensorflow:loss = 2.4264808, step = 58700 (20.698 sec)\n","I0309 03:57:32.396476 139972636141440 basic_session_run_hooks.py:260] loss = 2.4264808, step = 58700 (20.698 sec)\n","INFO:tensorflow:global_step/sec: 4.83241\n","I0309 03:57:53.089176 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83241\n","INFO:tensorflow:loss = 1.9782721, step = 58800 (20.694 sec)\n","I0309 03:57:53.090421 139972636141440 basic_session_run_hooks.py:260] loss = 1.9782721, step = 58800 (20.694 sec)\n","INFO:tensorflow:global_step/sec: 4.85414\n","I0309 03:58:13.690159 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85414\n","INFO:tensorflow:loss = 2.2505827, step = 58900 (20.601 sec)\n","I0309 03:58:13.691508 139972636141440 basic_session_run_hooks.py:260] loss = 2.2505827, step = 58900 (20.601 sec)\n","INFO:tensorflow:global_step/sec: 4.81864\n","I0309 03:58:34.442885 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81864\n","INFO:tensorflow:loss = 4.5309587, step = 59000 (20.752 sec)\n","I0309 03:58:34.443935 139972636141440 basic_session_run_hooks.py:260] loss = 4.5309587, step = 59000 (20.752 sec)\n","INFO:tensorflow:global_step/sec: 4.83592\n","I0309 03:58:55.121493 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83592\n","INFO:tensorflow:loss = 3.256696, step = 59100 (20.679 sec)\n","I0309 03:58:55.122665 139972636141440 basic_session_run_hooks.py:260] loss = 3.256696, step = 59100 (20.679 sec)\n","INFO:tensorflow:global_step/sec: 4.83518\n","I0309 03:59:15.803259 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83518\n","INFO:tensorflow:loss = 2.4706426, step = 59200 (20.682 sec)\n","I0309 03:59:15.804270 139972636141440 basic_session_run_hooks.py:260] loss = 2.4706426, step = 59200 (20.682 sec)\n","INFO:tensorflow:global_step/sec: 4.79856\n","I0309 03:59:36.642866 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.79856\n","INFO:tensorflow:loss = 1.728129, step = 59300 (20.840 sec)\n","I0309 03:59:36.644085 139972636141440 basic_session_run_hooks.py:260] loss = 1.728129, step = 59300 (20.840 sec)\n","INFO:tensorflow:global_step/sec: 4.85308\n","I0309 03:59:57.248396 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85308\n","INFO:tensorflow:loss = 2.667452, step = 59400 (20.605 sec)\n","I0309 03:59:57.249575 139972636141440 basic_session_run_hooks.py:260] loss = 2.667452, step = 59400 (20.605 sec)\n","INFO:tensorflow:global_step/sec: 4.84835\n","I0309 04:00:17.873915 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84835\n","INFO:tensorflow:loss = 2.0014148, step = 59500 (20.625 sec)\n","I0309 04:00:17.874815 139972636141440 basic_session_run_hooks.py:260] loss = 2.0014148, step = 59500 (20.625 sec)\n","INFO:tensorflow:global_step/sec: 4.82565\n","I0309 04:00:38.596489 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82565\n","INFO:tensorflow:loss = 2.3971353, step = 59600 (20.723 sec)\n","I0309 04:00:38.597674 139972636141440 basic_session_run_hooks.py:260] loss = 2.3971353, step = 59600 (20.723 sec)\n","INFO:tensorflow:global_step/sec: 4.84965\n","I0309 04:00:59.216528 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84965\n","INFO:tensorflow:loss = 3.1249118, step = 59700 (20.620 sec)\n","I0309 04:00:59.217487 139972636141440 basic_session_run_hooks.py:260] loss = 3.1249118, step = 59700 (20.620 sec)\n","INFO:tensorflow:global_step/sec: 4.84501\n","I0309 04:01:19.856331 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84501\n","INFO:tensorflow:loss = 2.2544007, step = 59800 (20.640 sec)\n","I0309 04:01:19.857561 139972636141440 basic_session_run_hooks.py:260] loss = 2.2544007, step = 59800 (20.640 sec)\n","INFO:tensorflow:global_step/sec: 4.83806\n","I0309 04:01:40.525759 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83806\n","INFO:tensorflow:loss = 2.9986863, step = 59900 (20.669 sec)\n","I0309 04:01:40.526829 139972636141440 basic_session_run_hooks.py:260] loss = 2.9986863, step = 59900 (20.669 sec)\n","INFO:tensorflow:global_step/sec: 4.86833\n","I0309 04:02:01.066665 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86833\n","INFO:tensorflow:loss = 2.8034616, step = 60000 (20.541 sec)\n","I0309 04:02:01.067696 139972636141440 basic_session_run_hooks.py:260] loss = 2.8034616, step = 60000 (20.541 sec)\n","INFO:tensorflow:global_step/sec: 4.86147\n","I0309 04:02:21.636584 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86147\n","INFO:tensorflow:loss = 2.1885784, step = 60100 (20.570 sec)\n","I0309 04:02:21.637504 139972636141440 basic_session_run_hooks.py:260] loss = 2.1885784, step = 60100 (20.570 sec)\n","INFO:tensorflow:Saving checkpoints for 60190 into training/model.ckpt.\n","I0309 04:02:39.986474 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 60190 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:02:41.267799 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:02:41.268373 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 04:02:41.268511 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d250a90>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 04:02:41.307622 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d250a90>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3de3e560> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 04:02:41.475347 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3de3e560> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 04:02:41.979191 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:02:43.920465 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:02:43.949414 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:02:43.977360 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:02:44.013337 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:02:44.043733 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:02:44.073722 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 04:02:45.427431 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T04:02:45Z\n","I0309 04:02:45.442762 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T04:02:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 04:02:45.839149 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 04:02:45.839768: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:02:45.840315: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 04:02:45.840424: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 04:02:45.840453: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 04:02:45.840477: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 04:02:45.840498: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 04:02:45.840525: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 04:02:45.840546: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 04:02:45.840576: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 04:02:45.840671: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:02:45.841193: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:02:45.841618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 04:02:45.841661: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 04:02:45.841675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 04:02:45.841685: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 04:02:45.841786: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:02:45.842310: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:02:45.842734: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-60190\n","I0309 04:02:45.843947 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-60190\n","INFO:tensorflow:Running local_init_op.\n","I0309 04:02:46.716137 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 04:02:46.838793 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 04:02:50.275040 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 04:02:50.275596 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.01s)\n","I0309 04:02:50.281149 139970110560000 coco_tools.py:138] DONE (t=0.01s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.57s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.155\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.349\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.095\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.035\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.180\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.607\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.139\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.280\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.298\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.045\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.377\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.733\n","INFO:tensorflow:Finished evaluation at 2021-03-09-04:02:51\n","I0309 04:02:51.162439 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-04:02:51\n","INFO:tensorflow:Saving dict for global step 60190: DetectionBoxes_Precision/mAP = 0.15505429, DetectionBoxes_Precision/mAP (large) = 0.60655, DetectionBoxes_Precision/mAP (medium) = 0.18016212, DetectionBoxes_Precision/mAP (small) = 0.035017252, DetectionBoxes_Precision/mAP@.50IOU = 0.34883374, DetectionBoxes_Precision/mAP@.75IOU = 0.09469465, DetectionBoxes_Recall/AR@1 = 0.13862115, DetectionBoxes_Recall/AR@10 = 0.27980253, DetectionBoxes_Recall/AR@100 = 0.29759037, DetectionBoxes_Recall/AR@100 (large) = 0.73333335, DetectionBoxes_Recall/AR@100 (medium) = 0.37737656, DetectionBoxes_Recall/AR@100 (small) = 0.045299146, Loss/classification_loss = 10.214155, Loss/localization_loss = 1.5193093, Loss/regularization_loss = 0.3658689, Loss/total_loss = 12.099336, global_step = 60190, learning_rate = 0.004, loss = 12.099336\n","I0309 04:02:51.162730 139972636141440 estimator.py:2049] Saving dict for global step 60190: DetectionBoxes_Precision/mAP = 0.15505429, DetectionBoxes_Precision/mAP (large) = 0.60655, DetectionBoxes_Precision/mAP (medium) = 0.18016212, DetectionBoxes_Precision/mAP (small) = 0.035017252, DetectionBoxes_Precision/mAP@.50IOU = 0.34883374, DetectionBoxes_Precision/mAP@.75IOU = 0.09469465, DetectionBoxes_Recall/AR@1 = 0.13862115, DetectionBoxes_Recall/AR@10 = 0.27980253, DetectionBoxes_Recall/AR@100 = 0.29759037, DetectionBoxes_Recall/AR@100 (large) = 0.73333335, DetectionBoxes_Recall/AR@100 (medium) = 0.37737656, DetectionBoxes_Recall/AR@100 (small) = 0.045299146, Loss/classification_loss = 10.214155, Loss/localization_loss = 1.5193093, Loss/regularization_loss = 0.3658689, Loss/total_loss = 12.099336, global_step = 60190, learning_rate = 0.004, loss = 12.099336\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 60190: training/model.ckpt-60190\n","I0309 04:02:51.166066 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 60190: training/model.ckpt-60190\n","INFO:tensorflow:global_step/sec: 3.13634\n","I0309 04:02:53.520828 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.13634\n","INFO:tensorflow:loss = 1.791573, step = 60200 (31.884 sec)\n","I0309 04:02:53.521840 139972636141440 basic_session_run_hooks.py:260] loss = 1.791573, step = 60200 (31.884 sec)\n","INFO:tensorflow:global_step/sec: 4.88041\n","I0309 04:03:14.010911 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88041\n","INFO:tensorflow:loss = 1.6008213, step = 60300 (20.490 sec)\n","I0309 04:03:14.011883 139972636141440 basic_session_run_hooks.py:260] loss = 1.6008213, step = 60300 (20.490 sec)\n","INFO:tensorflow:global_step/sec: 4.88363\n","I0309 04:03:34.487492 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88363\n","INFO:tensorflow:loss = 1.9454472, step = 60400 (20.477 sec)\n","I0309 04:03:34.488628 139972636141440 basic_session_run_hooks.py:260] loss = 1.9454472, step = 60400 (20.477 sec)\n","INFO:tensorflow:global_step/sec: 4.86389\n","I0309 04:03:55.047170 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86389\n","INFO:tensorflow:loss = 2.2149816, step = 60500 (20.560 sec)\n","I0309 04:03:55.048703 139972636141440 basic_session_run_hooks.py:260] loss = 2.2149816, step = 60500 (20.560 sec)\n","INFO:tensorflow:global_step/sec: 4.86733\n","I0309 04:04:15.592344 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86733\n","INFO:tensorflow:loss = 2.1526256, step = 60600 (20.545 sec)\n","I0309 04:04:15.593547 139972636141440 basic_session_run_hooks.py:260] loss = 2.1526256, step = 60600 (20.545 sec)\n","INFO:tensorflow:global_step/sec: 4.85811\n","I0309 04:04:36.176460 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85811\n","INFO:tensorflow:loss = 1.8784223, step = 60700 (20.584 sec)\n","I0309 04:04:36.177799 139972636141440 basic_session_run_hooks.py:260] loss = 1.8784223, step = 60700 (20.584 sec)\n","INFO:tensorflow:global_step/sec: 4.86935\n","I0309 04:04:56.713059 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86935\n","INFO:tensorflow:loss = 4.096381, step = 60800 (20.536 sec)\n","I0309 04:04:56.714014 139972636141440 basic_session_run_hooks.py:260] loss = 4.096381, step = 60800 (20.536 sec)\n","INFO:tensorflow:global_step/sec: 4.87598\n","I0309 04:05:17.221763 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87598\n","INFO:tensorflow:loss = 2.4255068, step = 60900 (20.509 sec)\n","I0309 04:05:17.223140 139972636141440 basic_session_run_hooks.py:260] loss = 2.4255068, step = 60900 (20.509 sec)\n","INFO:tensorflow:global_step/sec: 4.87498\n","I0309 04:05:37.734656 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87498\n","INFO:tensorflow:loss = 2.6158364, step = 61000 (20.513 sec)\n","I0309 04:05:37.736113 139972636141440 basic_session_run_hooks.py:260] loss = 2.6158364, step = 61000 (20.513 sec)\n","INFO:tensorflow:global_step/sec: 4.83698\n","I0309 04:05:58.408727 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83698\n","INFO:tensorflow:loss = 3.1746516, step = 61100 (20.674 sec)\n","I0309 04:05:58.409837 139972636141440 basic_session_run_hooks.py:260] loss = 3.1746516, step = 61100 (20.674 sec)\n","INFO:tensorflow:global_step/sec: 4.87669\n","I0309 04:06:18.914513 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87669\n","INFO:tensorflow:loss = 2.4547172, step = 61200 (20.506 sec)\n","I0309 04:06:18.915676 139972636141440 basic_session_run_hooks.py:260] loss = 2.4547172, step = 61200 (20.506 sec)\n","INFO:tensorflow:global_step/sec: 4.8608\n","I0309 04:06:39.487198 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8608\n","INFO:tensorflow:loss = 2.1858664, step = 61300 (20.572 sec)\n","I0309 04:06:39.488163 139972636141440 basic_session_run_hooks.py:260] loss = 2.1858664, step = 61300 (20.572 sec)\n","INFO:tensorflow:global_step/sec: 4.85575\n","I0309 04:07:00.081358 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85575\n","INFO:tensorflow:loss = 1.9292964, step = 61400 (20.594 sec)\n","I0309 04:07:00.082544 139972636141440 basic_session_run_hooks.py:260] loss = 1.9292964, step = 61400 (20.594 sec)\n","INFO:tensorflow:global_step/sec: 4.88519\n","I0309 04:07:20.551381 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88519\n","INFO:tensorflow:loss = 4.309602, step = 61500 (20.470 sec)\n","I0309 04:07:20.552410 139972636141440 basic_session_run_hooks.py:260] loss = 4.309602, step = 61500 (20.470 sec)\n","INFO:tensorflow:global_step/sec: 4.88289\n","I0309 04:07:41.031072 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88289\n","INFO:tensorflow:loss = 3.0566723, step = 61600 (20.480 sec)\n","I0309 04:07:41.032460 139972636141440 basic_session_run_hooks.py:260] loss = 3.0566723, step = 61600 (20.480 sec)\n","INFO:tensorflow:global_step/sec: 4.84487\n","I0309 04:08:01.671412 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84487\n","INFO:tensorflow:loss = 2.7123263, step = 61700 (20.640 sec)\n","I0309 04:08:01.672907 139972636141440 basic_session_run_hooks.py:260] loss = 2.7123263, step = 61700 (20.640 sec)\n","INFO:tensorflow:global_step/sec: 4.9174\n","I0309 04:08:22.007492 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.9174\n","INFO:tensorflow:loss = 2.4655, step = 61800 (20.336 sec)\n","I0309 04:08:22.008732 139972636141440 basic_session_run_hooks.py:260] loss = 2.4655, step = 61800 (20.336 sec)\n","INFO:tensorflow:global_step/sec: 4.86475\n","I0309 04:08:42.563406 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86475\n","INFO:tensorflow:loss = 2.0909853, step = 61900 (20.556 sec)\n","I0309 04:08:42.564479 139972636141440 basic_session_run_hooks.py:260] loss = 2.0909853, step = 61900 (20.556 sec)\n","INFO:tensorflow:global_step/sec: 4.89801\n","I0309 04:09:02.980003 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89801\n","INFO:tensorflow:loss = 2.8514047, step = 62000 (20.417 sec)\n","I0309 04:09:02.981312 139972636141440 basic_session_run_hooks.py:260] loss = 2.8514047, step = 62000 (20.417 sec)\n","INFO:tensorflow:global_step/sec: 4.8756\n","I0309 04:09:23.490252 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8756\n","INFO:tensorflow:loss = 3.2520812, step = 62100 (20.510 sec)\n","I0309 04:09:23.491167 139972636141440 basic_session_run_hooks.py:260] loss = 3.2520812, step = 62100 (20.510 sec)\n","INFO:tensorflow:global_step/sec: 4.86043\n","I0309 04:09:44.064482 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86043\n","INFO:tensorflow:loss = 1.8458148, step = 62200 (20.574 sec)\n","I0309 04:09:44.065490 139972636141440 basic_session_run_hooks.py:260] loss = 1.8458148, step = 62200 (20.574 sec)\n","INFO:tensorflow:global_step/sec: 4.87422\n","I0309 04:10:04.580585 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87422\n","INFO:tensorflow:loss = 2.1659446, step = 62300 (20.516 sec)\n","I0309 04:10:04.581717 139972636141440 basic_session_run_hooks.py:260] loss = 2.1659446, step = 62300 (20.516 sec)\n","INFO:tensorflow:global_step/sec: 4.86663\n","I0309 04:10:25.128705 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86663\n","INFO:tensorflow:loss = 2.101099, step = 62400 (20.548 sec)\n","I0309 04:10:25.129869 139972636141440 basic_session_run_hooks.py:260] loss = 2.101099, step = 62400 (20.548 sec)\n","INFO:tensorflow:global_step/sec: 4.85659\n","I0309 04:10:45.719311 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85659\n","INFO:tensorflow:loss = 2.7993302, step = 62500 (20.590 sec)\n","I0309 04:10:45.720176 139972636141440 basic_session_run_hooks.py:260] loss = 2.7993302, step = 62500 (20.590 sec)\n","INFO:tensorflow:global_step/sec: 4.84833\n","I0309 04:11:06.344936 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84833\n","INFO:tensorflow:loss = 1.8446705, step = 62600 (20.626 sec)\n","I0309 04:11:06.346094 139972636141440 basic_session_run_hooks.py:260] loss = 1.8446705, step = 62600 (20.626 sec)\n","INFO:tensorflow:global_step/sec: 4.85546\n","I0309 04:11:26.940338 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85546\n","INFO:tensorflow:loss = 1.8671412, step = 62700 (20.595 sec)\n","I0309 04:11:26.941479 139972636141440 basic_session_run_hooks.py:260] loss = 1.8671412, step = 62700 (20.595 sec)\n","INFO:tensorflow:global_step/sec: 4.88174\n","I0309 04:11:47.424822 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88174\n","INFO:tensorflow:loss = 3.7339683, step = 62800 (20.485 sec)\n","I0309 04:11:47.426035 139972636141440 basic_session_run_hooks.py:260] loss = 3.7339683, step = 62800 (20.485 sec)\n","INFO:tensorflow:global_step/sec: 4.79119\n","I0309 04:12:08.296489 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.79119\n","INFO:tensorflow:loss = 1.8635871, step = 62900 (20.872 sec)\n","I0309 04:12:08.297679 139972636141440 basic_session_run_hooks.py:260] loss = 1.8635871, step = 62900 (20.872 sec)\n","INFO:tensorflow:global_step/sec: 4.8173\n","I0309 04:12:29.055013 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8173\n","INFO:tensorflow:loss = 1.7257011, step = 63000 (20.758 sec)\n","I0309 04:12:29.055984 139972636141440 basic_session_run_hooks.py:260] loss = 1.7257011, step = 63000 (20.758 sec)\n","INFO:tensorflow:Saving checkpoints for 63054 into training/model.ckpt.\n","I0309 04:12:40.035427 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 63054 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:12:41.324498 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:12:41.325027 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 04:12:41.325167 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3cdcf650>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 04:12:41.364305 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3cdcf650>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de52afb90> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 04:12:41.532701 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de52afb90> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 04:12:42.046932 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:12:44.436227 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:12:44.465751 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:12:44.493494 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:12:44.523936 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:12:44.552697 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:12:44.580970 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 04:12:45.893920 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T04:12:45Z\n","I0309 04:12:45.909624 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T04:12:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 04:12:46.300615 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 04:12:46.301452: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:12:46.302069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 04:12:46.302382: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 04:12:46.302440: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 04:12:46.302477: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 04:12:46.302504: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 04:12:46.302530: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 04:12:46.302556: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 04:12:46.302581: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 04:12:46.302687: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:12:46.303265: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:12:46.303735: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 04:12:46.303860: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 04:12:46.303884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 04:12:46.303896: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 04:12:46.304012: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:12:46.304556: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:12:46.305043: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-63054\n","I0309 04:12:46.306360 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-63054\n","INFO:tensorflow:Running local_init_op.\n","I0309 04:12:47.270599 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 04:12:47.408287 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 04:12:51.084187 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 04:12:51.086708 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 04:12:51.091454 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.57s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.161\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.374\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.134\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.031\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.204\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.708\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.177\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.327\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.348\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.044\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.456\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.750\n","INFO:tensorflow:Finished evaluation at 2021-03-09-04:12:51\n","I0309 04:12:51.964173 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-04:12:51\n","INFO:tensorflow:Saving dict for global step 63054: DetectionBoxes_Precision/mAP = 0.1612265, DetectionBoxes_Precision/mAP (large) = 0.70841587, DetectionBoxes_Precision/mAP (medium) = 0.20389475, DetectionBoxes_Precision/mAP (small) = 0.030615492, DetectionBoxes_Precision/mAP@.50IOU = 0.3738557, DetectionBoxes_Precision/mAP@.75IOU = 0.13415095, DetectionBoxes_Recall/AR@1 = 0.17732596, DetectionBoxes_Recall/AR@10 = 0.32707497, DetectionBoxes_Recall/AR@100 = 0.3480087, DetectionBoxes_Recall/AR@100 (large) = 0.75, DetectionBoxes_Recall/AR@100 (medium) = 0.45648488, DetectionBoxes_Recall/AR@100 (small) = 0.04423077, Loss/classification_loss = 8.673646, Loss/localization_loss = 1.3195499, Loss/regularization_loss = 0.36730963, Loss/total_loss = 10.360505, global_step = 63054, learning_rate = 0.004, loss = 10.360505\n","I0309 04:12:51.964486 139972636141440 estimator.py:2049] Saving dict for global step 63054: DetectionBoxes_Precision/mAP = 0.1612265, DetectionBoxes_Precision/mAP (large) = 0.70841587, DetectionBoxes_Precision/mAP (medium) = 0.20389475, DetectionBoxes_Precision/mAP (small) = 0.030615492, DetectionBoxes_Precision/mAP@.50IOU = 0.3738557, DetectionBoxes_Precision/mAP@.75IOU = 0.13415095, DetectionBoxes_Recall/AR@1 = 0.17732596, DetectionBoxes_Recall/AR@10 = 0.32707497, DetectionBoxes_Recall/AR@100 = 0.3480087, DetectionBoxes_Recall/AR@100 (large) = 0.75, DetectionBoxes_Recall/AR@100 (medium) = 0.45648488, DetectionBoxes_Recall/AR@100 (small) = 0.04423077, Loss/classification_loss = 8.673646, Loss/localization_loss = 1.3195499, Loss/regularization_loss = 0.36730963, Loss/total_loss = 10.360505, global_step = 63054, learning_rate = 0.004, loss = 10.360505\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 63054: training/model.ckpt-63054\n","I0309 04:12:51.968132 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 63054: training/model.ckpt-63054\n","INFO:tensorflow:global_step/sec: 3.05122\n","I0309 04:13:01.828847 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.05122\n","INFO:tensorflow:loss = 2.4925423, step = 63100 (32.774 sec)\n","I0309 04:13:01.829907 139972636141440 basic_session_run_hooks.py:260] loss = 2.4925423, step = 63100 (32.774 sec)\n","INFO:tensorflow:global_step/sec: 4.83313\n","I0309 04:13:22.519415 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83313\n","INFO:tensorflow:loss = 2.0778675, step = 63200 (20.691 sec)\n","I0309 04:13:22.520639 139972636141440 basic_session_run_hooks.py:260] loss = 2.0778675, step = 63200 (20.691 sec)\n","INFO:tensorflow:global_step/sec: 4.85057\n","I0309 04:13:43.135522 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85057\n","INFO:tensorflow:loss = 3.1553965, step = 63300 (20.616 sec)\n","I0309 04:13:43.136397 139972636141440 basic_session_run_hooks.py:260] loss = 3.1553965, step = 63300 (20.616 sec)\n","INFO:tensorflow:global_step/sec: 4.8543\n","I0309 04:14:03.735830 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8543\n","INFO:tensorflow:loss = 1.8967485, step = 63400 (20.601 sec)\n","I0309 04:14:03.737142 139972636141440 basic_session_run_hooks.py:260] loss = 1.8967485, step = 63400 (20.601 sec)\n","INFO:tensorflow:global_step/sec: 4.8192\n","I0309 04:14:24.486155 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8192\n","INFO:tensorflow:loss = 3.208456, step = 63500 (20.750 sec)\n","I0309 04:14:24.487356 139972636141440 basic_session_run_hooks.py:260] loss = 3.208456, step = 63500 (20.750 sec)\n","INFO:tensorflow:global_step/sec: 4.81933\n","I0309 04:14:45.235935 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81933\n","INFO:tensorflow:loss = 1.6815313, step = 63600 (20.750 sec)\n","I0309 04:14:45.237139 139972636141440 basic_session_run_hooks.py:260] loss = 1.6815313, step = 63600 (20.750 sec)\n","INFO:tensorflow:global_step/sec: 4.81642\n","I0309 04:15:05.998258 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81642\n","INFO:tensorflow:loss = 2.8930545, step = 63700 (20.763 sec)\n","I0309 04:15:05.999740 139972636141440 basic_session_run_hooks.py:260] loss = 2.8930545, step = 63700 (20.763 sec)\n","INFO:tensorflow:global_step/sec: 4.81725\n","I0309 04:15:26.757020 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81725\n","INFO:tensorflow:loss = 1.8868828, step = 63800 (20.759 sec)\n","I0309 04:15:26.758387 139972636141440 basic_session_run_hooks.py:260] loss = 1.8868828, step = 63800 (20.759 sec)\n","INFO:tensorflow:global_step/sec: 4.83912\n","I0309 04:15:47.421896 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83912\n","INFO:tensorflow:loss = 2.758709, step = 63900 (20.665 sec)\n","I0309 04:15:47.422952 139972636141440 basic_session_run_hooks.py:260] loss = 2.758709, step = 63900 (20.665 sec)\n","INFO:tensorflow:global_step/sec: 4.82485\n","I0309 04:16:08.147909 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82485\n","INFO:tensorflow:loss = 3.1106703, step = 64000 (20.726 sec)\n","I0309 04:16:08.148920 139972636141440 basic_session_run_hooks.py:260] loss = 3.1106703, step = 64000 (20.726 sec)\n","INFO:tensorflow:global_step/sec: 4.87155\n","I0309 04:16:28.675262 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87155\n","INFO:tensorflow:loss = 1.4533414, step = 64100 (20.528 sec)\n","I0309 04:16:28.676433 139972636141440 basic_session_run_hooks.py:260] loss = 1.4533414, step = 64100 (20.528 sec)\n","INFO:tensorflow:global_step/sec: 4.79861\n","I0309 04:16:49.514622 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.79861\n","INFO:tensorflow:loss = 1.5827596, step = 64200 (20.839 sec)\n","I0309 04:16:49.515833 139972636141440 basic_session_run_hooks.py:260] loss = 1.5827596, step = 64200 (20.839 sec)\n","INFO:tensorflow:global_step/sec: 4.85167\n","I0309 04:17:10.126079 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85167\n","INFO:tensorflow:loss = 2.5236363, step = 64300 (20.611 sec)\n","I0309 04:17:10.127147 139972636141440 basic_session_run_hooks.py:260] loss = 2.5236363, step = 64300 (20.611 sec)\n","INFO:tensorflow:global_step/sec: 4.8437\n","I0309 04:17:30.771477 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8437\n","INFO:tensorflow:loss = 1.8316172, step = 64400 (20.646 sec)\n","I0309 04:17:30.772768 139972636141440 basic_session_run_hooks.py:260] loss = 1.8316172, step = 64400 (20.646 sec)\n","INFO:tensorflow:global_step/sec: 4.85161\n","I0309 04:17:51.383163 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85161\n","INFO:tensorflow:loss = 2.0922484, step = 64500 (20.612 sec)\n","I0309 04:17:51.384322 139972636141440 basic_session_run_hooks.py:260] loss = 2.0922484, step = 64500 (20.612 sec)\n","INFO:tensorflow:global_step/sec: 4.81916\n","I0309 04:18:12.133676 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81916\n","INFO:tensorflow:loss = 3.6957128, step = 64600 (20.750 sec)\n","I0309 04:18:12.134585 139972636141440 basic_session_run_hooks.py:260] loss = 3.6957128, step = 64600 (20.750 sec)\n","INFO:tensorflow:global_step/sec: 4.81376\n","I0309 04:18:32.907464 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81376\n","INFO:tensorflow:loss = 2.5601757, step = 64700 (20.774 sec)\n","I0309 04:18:32.908703 139972636141440 basic_session_run_hooks.py:260] loss = 2.5601757, step = 64700 (20.774 sec)\n","INFO:tensorflow:global_step/sec: 4.81657\n","I0309 04:18:53.669137 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81657\n","INFO:tensorflow:loss = 2.4736726, step = 64800 (20.762 sec)\n","I0309 04:18:53.670305 139972636141440 basic_session_run_hooks.py:260] loss = 2.4736726, step = 64800 (20.762 sec)\n","INFO:tensorflow:global_step/sec: 4.84621\n","I0309 04:19:14.303808 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84621\n","INFO:tensorflow:loss = 2.3754766, step = 64900 (20.635 sec)\n","I0309 04:19:14.304967 139972636141440 basic_session_run_hooks.py:260] loss = 2.3754766, step = 64900 (20.635 sec)\n","INFO:tensorflow:global_step/sec: 4.83214\n","I0309 04:19:34.998557 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83214\n","INFO:tensorflow:loss = 2.6579056, step = 65000 (20.695 sec)\n","I0309 04:19:34.999625 139972636141440 basic_session_run_hooks.py:260] loss = 2.6579056, step = 65000 (20.695 sec)\n","INFO:tensorflow:global_step/sec: 4.84798\n","I0309 04:19:55.625690 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84798\n","INFO:tensorflow:loss = 2.1622753, step = 65100 (20.627 sec)\n","I0309 04:19:55.626924 139972636141440 basic_session_run_hooks.py:260] loss = 2.1622753, step = 65100 (20.627 sec)\n","INFO:tensorflow:global_step/sec: 4.85365\n","I0309 04:20:16.228731 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85365\n","INFO:tensorflow:loss = 2.337832, step = 65200 (20.603 sec)\n","I0309 04:20:16.229995 139972636141440 basic_session_run_hooks.py:260] loss = 2.337832, step = 65200 (20.603 sec)\n","INFO:tensorflow:global_step/sec: 4.81965\n","I0309 04:20:36.977107 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81965\n","INFO:tensorflow:loss = 2.2409086, step = 65300 (20.748 sec)\n","I0309 04:20:36.977979 139972636141440 basic_session_run_hooks.py:260] loss = 2.2409086, step = 65300 (20.748 sec)\n","INFO:tensorflow:global_step/sec: 4.83282\n","I0309 04:20:57.668969 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83282\n","INFO:tensorflow:loss = 2.0185685, step = 65400 (20.692 sec)\n","I0309 04:20:57.670054 139972636141440 basic_session_run_hooks.py:260] loss = 2.0185685, step = 65400 (20.692 sec)\n","INFO:tensorflow:global_step/sec: 4.86043\n","I0309 04:21:18.243330 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86043\n","INFO:tensorflow:loss = 3.0937407, step = 65500 (20.574 sec)\n","I0309 04:21:18.244316 139972636141440 basic_session_run_hooks.py:260] loss = 3.0937407, step = 65500 (20.574 sec)\n","INFO:tensorflow:global_step/sec: 4.91035\n","I0309 04:21:38.608441 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.91035\n","INFO:tensorflow:loss = 3.0701706, step = 65600 (20.365 sec)\n","I0309 04:21:38.609488 139972636141440 basic_session_run_hooks.py:260] loss = 3.0701706, step = 65600 (20.365 sec)\n","INFO:tensorflow:global_step/sec: 4.85077\n","I0309 04:21:59.223698 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85077\n","INFO:tensorflow:loss = 2.5079572, step = 65700 (20.615 sec)\n","I0309 04:21:59.224693 139972636141440 basic_session_run_hooks.py:260] loss = 2.5079572, step = 65700 (20.615 sec)\n","INFO:tensorflow:global_step/sec: 4.84949\n","I0309 04:22:19.844407 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84949\n","INFO:tensorflow:loss = 3.249566, step = 65800 (20.621 sec)\n","I0309 04:22:19.845432 139972636141440 basic_session_run_hooks.py:260] loss = 3.249566, step = 65800 (20.621 sec)\n","INFO:tensorflow:Saving checkpoints for 65900 into training/model.ckpt.\n","I0309 04:22:40.175010 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 65900 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:22:41.447511 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:22:41.448133 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 04:22:41.448304 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d685090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 04:22:41.486144 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d685090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de549be60> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 04:22:41.647999 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de549be60> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 04:22:42.138320 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:22:44.068604 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:22:44.096362 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:22:44.124474 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:22:44.154555 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:22:44.183549 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:22:44.219766 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 04:22:45.509817 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T04:22:45Z\n","I0309 04:22:45.524409 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T04:22:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 04:22:45.922963 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 04:22:45.923632: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:22:45.924134: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 04:22:45.924255: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 04:22:45.924294: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 04:22:45.924325: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 04:22:45.924349: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 04:22:45.924370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 04:22:45.924391: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 04:22:45.924412: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 04:22:45.924503: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:22:45.925004: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:22:45.925423: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 04:22:45.925467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 04:22:45.925481: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 04:22:45.925493: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 04:22:45.925599: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:22:45.926096: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:22:45.926524: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-65900\n","I0309 04:22:45.927447 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-65900\n","INFO:tensorflow:Running local_init_op.\n","I0309 04:22:46.806918 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 04:22:46.930564 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 04:22:50.599193 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 04:22:50.599668 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 04:22:50.604141 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.55s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.161\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.359\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.124\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.018\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.203\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.655\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.173\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.322\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.344\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.102\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.431\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.667\n","INFO:tensorflow:Finished evaluation at 2021-03-09-04:22:51\n","I0309 04:22:51.487098 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-04:22:51\n","INFO:tensorflow:Saving dict for global step 65900: DetectionBoxes_Precision/mAP = 0.16053699, DetectionBoxes_Precision/mAP (large) = 0.6551155, DetectionBoxes_Precision/mAP (medium) = 0.20335487, DetectionBoxes_Precision/mAP (small) = 0.01848239, DetectionBoxes_Precision/mAP@.50IOU = 0.35900217, DetectionBoxes_Precision/mAP@.75IOU = 0.12398513, DetectionBoxes_Recall/AR@1 = 0.17274097, DetectionBoxes_Recall/AR@10 = 0.32212183, DetectionBoxes_Recall/AR@100 = 0.3441265, DetectionBoxes_Recall/AR@100 (large) = 0.6666667, DetectionBoxes_Recall/AR@100 (medium) = 0.4307664, DetectionBoxes_Recall/AR@100 (small) = 0.10235043, Loss/classification_loss = 8.22246, Loss/localization_loss = 1.3644375, Loss/regularization_loss = 0.36878142, Loss/total_loss = 9.955678, global_step = 65900, learning_rate = 0.004, loss = 9.955678\n","I0309 04:22:51.487419 139972636141440 estimator.py:2049] Saving dict for global step 65900: DetectionBoxes_Precision/mAP = 0.16053699, DetectionBoxes_Precision/mAP (large) = 0.6551155, DetectionBoxes_Precision/mAP (medium) = 0.20335487, DetectionBoxes_Precision/mAP (small) = 0.01848239, DetectionBoxes_Precision/mAP@.50IOU = 0.35900217, DetectionBoxes_Precision/mAP@.75IOU = 0.12398513, DetectionBoxes_Recall/AR@1 = 0.17274097, DetectionBoxes_Recall/AR@10 = 0.32212183, DetectionBoxes_Recall/AR@100 = 0.3441265, DetectionBoxes_Recall/AR@100 (large) = 0.6666667, DetectionBoxes_Recall/AR@100 (medium) = 0.4307664, DetectionBoxes_Recall/AR@100 (small) = 0.10235043, Loss/classification_loss = 8.22246, Loss/localization_loss = 1.3644375, Loss/regularization_loss = 0.36878142, Loss/total_loss = 9.955678, global_step = 65900, learning_rate = 0.004, loss = 9.955678\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 65900: training/model.ckpt-65900\n","I0309 04:22:51.490841 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 65900: training/model.ckpt-65900\n","INFO:tensorflow:global_step/sec: 3.13199\n","I0309 04:22:51.772939 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.13199\n","INFO:tensorflow:loss = 1.886534, step = 65900 (31.928 sec)\n","I0309 04:22:51.773867 139972636141440 basic_session_run_hooks.py:260] loss = 1.886534, step = 65900 (31.928 sec)\n","INFO:tensorflow:global_step/sec: 4.87931\n","I0309 04:23:12.267647 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87931\n","INFO:tensorflow:loss = 3.6193433, step = 66000 (20.495 sec)\n","I0309 04:23:12.268721 139972636141440 basic_session_run_hooks.py:260] loss = 3.6193433, step = 66000 (20.495 sec)\n","INFO:tensorflow:global_step/sec: 4.80494\n","I0309 04:23:33.079573 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.80494\n","INFO:tensorflow:loss = 2.619567, step = 66100 (20.812 sec)\n","I0309 04:23:33.080550 139972636141440 basic_session_run_hooks.py:260] loss = 2.619567, step = 66100 (20.812 sec)\n","INFO:tensorflow:global_step/sec: 4.87032\n","I0309 04:23:53.612097 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87032\n","INFO:tensorflow:loss = 2.0501199, step = 66200 (20.533 sec)\n","I0309 04:23:53.613186 139972636141440 basic_session_run_hooks.py:260] loss = 2.0501199, step = 66200 (20.533 sec)\n","INFO:tensorflow:global_step/sec: 4.89561\n","I0309 04:24:14.038578 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89561\n","INFO:tensorflow:loss = 2.8568704, step = 66300 (20.426 sec)\n","I0309 04:24:14.039648 139972636141440 basic_session_run_hooks.py:260] loss = 2.8568704, step = 66300 (20.426 sec)\n","INFO:tensorflow:global_step/sec: 4.89056\n","I0309 04:24:34.486196 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89056\n","INFO:tensorflow:loss = 2.2097416, step = 66400 (20.448 sec)\n","I0309 04:24:34.487376 139972636141440 basic_session_run_hooks.py:260] loss = 2.2097416, step = 66400 (20.448 sec)\n","INFO:tensorflow:global_step/sec: 4.86815\n","I0309 04:24:55.027886 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86815\n","INFO:tensorflow:loss = 1.8588731, step = 66500 (20.542 sec)\n","I0309 04:24:55.028991 139972636141440 basic_session_run_hooks.py:260] loss = 1.8588731, step = 66500 (20.542 sec)\n","INFO:tensorflow:global_step/sec: 4.88522\n","I0309 04:25:15.497743 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88522\n","INFO:tensorflow:loss = 2.6610866, step = 66600 (20.470 sec)\n","I0309 04:25:15.498699 139972636141440 basic_session_run_hooks.py:260] loss = 2.6610866, step = 66600 (20.470 sec)\n","INFO:tensorflow:global_step/sec: 4.88243\n","I0309 04:25:35.979401 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88243\n","INFO:tensorflow:loss = 2.2896254, step = 66700 (20.482 sec)\n","I0309 04:25:35.980368 139972636141440 basic_session_run_hooks.py:260] loss = 2.2896254, step = 66700 (20.482 sec)\n","INFO:tensorflow:global_step/sec: 4.91619\n","I0309 04:25:56.320351 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.91619\n","INFO:tensorflow:loss = 3.041251, step = 66800 (20.341 sec)\n","I0309 04:25:56.321276 139972636141440 basic_session_run_hooks.py:260] loss = 3.041251, step = 66800 (20.341 sec)\n","INFO:tensorflow:global_step/sec: 4.85514\n","I0309 04:26:16.917137 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85514\n","INFO:tensorflow:loss = 2.603365, step = 66900 (20.597 sec)\n","I0309 04:26:16.918387 139972636141440 basic_session_run_hooks.py:260] loss = 2.603365, step = 66900 (20.597 sec)\n","INFO:tensorflow:global_step/sec: 4.87271\n","I0309 04:26:37.439538 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87271\n","INFO:tensorflow:loss = 2.1840875, step = 67000 (20.522 sec)\n","I0309 04:26:37.440498 139972636141440 basic_session_run_hooks.py:260] loss = 2.1840875, step = 67000 (20.522 sec)\n","INFO:tensorflow:global_step/sec: 4.85945\n","I0309 04:26:58.018051 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85945\n","INFO:tensorflow:loss = 2.5127318, step = 67100 (20.579 sec)\n","I0309 04:26:58.019183 139972636141440 basic_session_run_hooks.py:260] loss = 2.5127318, step = 67100 (20.579 sec)\n","INFO:tensorflow:global_step/sec: 4.9025\n","I0309 04:27:18.415766 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.9025\n","INFO:tensorflow:loss = 3.71022, step = 67200 (20.398 sec)\n","I0309 04:27:18.417108 139972636141440 basic_session_run_hooks.py:260] loss = 3.71022, step = 67200 (20.398 sec)\n","INFO:tensorflow:global_step/sec: 4.84522\n","I0309 04:27:39.054696 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84522\n","INFO:tensorflow:loss = 2.3397567, step = 67300 (20.639 sec)\n","I0309 04:27:39.055900 139972636141440 basic_session_run_hooks.py:260] loss = 2.3397567, step = 67300 (20.639 sec)\n","INFO:tensorflow:global_step/sec: 4.8885\n","I0309 04:27:59.510853 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8885\n","INFO:tensorflow:loss = 2.0828512, step = 67400 (20.456 sec)\n","I0309 04:27:59.511981 139972636141440 basic_session_run_hooks.py:260] loss = 2.0828512, step = 67400 (20.456 sec)\n","INFO:tensorflow:global_step/sec: 4.88247\n","I0309 04:28:19.992275 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88247\n","INFO:tensorflow:loss = 2.5727322, step = 67500 (20.481 sec)\n","I0309 04:28:19.993441 139972636141440 basic_session_run_hooks.py:260] loss = 2.5727322, step = 67500 (20.481 sec)\n","INFO:tensorflow:global_step/sec: 4.82483\n","I0309 04:28:40.718382 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82483\n","INFO:tensorflow:loss = 2.6470644, step = 67600 (20.726 sec)\n","I0309 04:28:40.719692 139972636141440 basic_session_run_hooks.py:260] loss = 2.6470644, step = 67600 (20.726 sec)\n","INFO:tensorflow:global_step/sec: 4.8603\n","I0309 04:29:01.293237 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8603\n","INFO:tensorflow:loss = 1.8475994, step = 67700 (20.575 sec)\n","I0309 04:29:01.294297 139972636141440 basic_session_run_hooks.py:260] loss = 1.8475994, step = 67700 (20.575 sec)\n","INFO:tensorflow:global_step/sec: 4.88608\n","I0309 04:29:21.759525 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88608\n","INFO:tensorflow:loss = 2.3524525, step = 67800 (20.466 sec)\n","I0309 04:29:21.760674 139972636141440 basic_session_run_hooks.py:260] loss = 2.3524525, step = 67800 (20.466 sec)\n","INFO:tensorflow:global_step/sec: 4.87235\n","I0309 04:29:42.283536 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87235\n","INFO:tensorflow:loss = 2.2869964, step = 67900 (20.524 sec)\n","I0309 04:29:42.284508 139972636141440 basic_session_run_hooks.py:260] loss = 2.2869964, step = 67900 (20.524 sec)\n","INFO:tensorflow:global_step/sec: 4.86525\n","I0309 04:30:02.837451 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86525\n","INFO:tensorflow:loss = 2.212603, step = 68000 (20.554 sec)\n","I0309 04:30:02.838627 139972636141440 basic_session_run_hooks.py:260] loss = 2.212603, step = 68000 (20.554 sec)\n","INFO:tensorflow:global_step/sec: 4.85232\n","I0309 04:30:23.446160 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85232\n","INFO:tensorflow:loss = 2.0330672, step = 68100 (20.608 sec)\n","I0309 04:30:23.447000 139972636141440 basic_session_run_hooks.py:260] loss = 2.0330672, step = 68100 (20.608 sec)\n","INFO:tensorflow:global_step/sec: 4.88309\n","I0309 04:30:43.924983 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88309\n","INFO:tensorflow:loss = 3.4925492, step = 68200 (20.479 sec)\n","I0309 04:30:43.926138 139972636141440 basic_session_run_hooks.py:260] loss = 3.4925492, step = 68200 (20.479 sec)\n","INFO:tensorflow:global_step/sec: 4.87466\n","I0309 04:31:04.439225 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87466\n","INFO:tensorflow:loss = 1.9041075, step = 68300 (20.514 sec)\n","I0309 04:31:04.440111 139972636141440 basic_session_run_hooks.py:260] loss = 1.9041075, step = 68300 (20.514 sec)\n","INFO:tensorflow:global_step/sec: 4.83407\n","I0309 04:31:25.125746 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83407\n","INFO:tensorflow:loss = 3.2163248, step = 68400 (20.687 sec)\n","I0309 04:31:25.126795 139972636141440 basic_session_run_hooks.py:260] loss = 3.2163248, step = 68400 (20.687 sec)\n","INFO:tensorflow:global_step/sec: 4.82871\n","I0309 04:31:45.835186 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82871\n","INFO:tensorflow:loss = 2.2042208, step = 68500 (20.709 sec)\n","I0309 04:31:45.836172 139972636141440 basic_session_run_hooks.py:260] loss = 2.2042208, step = 68500 (20.709 sec)\n","INFO:tensorflow:global_step/sec: 4.89664\n","I0309 04:32:06.257395 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89664\n","INFO:tensorflow:loss = 2.7986984, step = 68600 (20.422 sec)\n","I0309 04:32:06.258564 139972636141440 basic_session_run_hooks.py:260] loss = 2.7986984, step = 68600 (20.422 sec)\n","INFO:tensorflow:global_step/sec: 4.88157\n","I0309 04:32:26.742594 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88157\n","INFO:tensorflow:loss = 2.3374112, step = 68700 (20.485 sec)\n","I0309 04:32:26.743723 139972636141440 basic_session_run_hooks.py:260] loss = 2.3374112, step = 68700 (20.485 sec)\n","INFO:tensorflow:Saving checkpoints for 68767 into training/model.ckpt.\n","I0309 04:32:40.266570 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 68767 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:32:41.549805 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:32:41.550442 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 04:32:41.550590 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4de5561a50>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 04:32:41.587826 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4de5561a50>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4cfe19e290> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 04:32:41.750499 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4cfe19e290> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 04:32:42.262835 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:32:44.243009 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:32:44.270794 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:32:44.297975 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:32:44.330532 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:32:44.357664 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:32:44.385078 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 04:32:45.667259 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T04:32:45Z\n","I0309 04:32:45.682806 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T04:32:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 04:32:46.081467 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 04:32:46.082148: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:32:46.082663: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 04:32:46.082762: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 04:32:46.082807: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 04:32:46.082838: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 04:32:46.082863: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 04:32:46.082885: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 04:32:46.082906: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 04:32:46.082929: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 04:32:46.083020: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:32:46.083497: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:32:46.083898: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 04:32:46.084009: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 04:32:46.084024: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 04:32:46.084034: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 04:32:46.084139: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:32:46.084607: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:32:46.085230: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-68767\n","I0309 04:32:46.086207 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-68767\n","INFO:tensorflow:Running local_init_op.\n","I0309 04:32:46.956104 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 04:32:47.078573 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 04:32:50.463104 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 04:32:50.463718 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 04:32:50.468713 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.61s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.166\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.370\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.120\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.035\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.195\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.719\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.178\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.307\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.329\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.088\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.406\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.733\n","INFO:tensorflow:Finished evaluation at 2021-03-09-04:32:51\n","I0309 04:32:51.340751 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-04:32:51\n","INFO:tensorflow:Saving dict for global step 68767: DetectionBoxes_Precision/mAP = 0.1662869, DetectionBoxes_Precision/mAP (large) = 0.71851486, DetectionBoxes_Precision/mAP (medium) = 0.19526087, DetectionBoxes_Precision/mAP (small) = 0.034690484, DetectionBoxes_Precision/mAP@.50IOU = 0.36983562, DetectionBoxes_Precision/mAP@.75IOU = 0.12030516, DetectionBoxes_Recall/AR@1 = 0.17838019, DetectionBoxes_Recall/AR@10 = 0.30679384, DetectionBoxes_Recall/AR@100 = 0.32879853, DetectionBoxes_Recall/AR@100 (large) = 0.73333335, DetectionBoxes_Recall/AR@100 (medium) = 0.4064849, DetectionBoxes_Recall/AR@100 (small) = 0.087820515, Loss/classification_loss = 9.327623, Loss/localization_loss = 1.3310666, Loss/regularization_loss = 0.37032905, Loss/total_loss = 11.029018, global_step = 68767, learning_rate = 0.004, loss = 11.029018\n","I0309 04:32:51.341025 139972636141440 estimator.py:2049] Saving dict for global step 68767: DetectionBoxes_Precision/mAP = 0.1662869, DetectionBoxes_Precision/mAP (large) = 0.71851486, DetectionBoxes_Precision/mAP (medium) = 0.19526087, DetectionBoxes_Precision/mAP (small) = 0.034690484, DetectionBoxes_Precision/mAP@.50IOU = 0.36983562, DetectionBoxes_Precision/mAP@.75IOU = 0.12030516, DetectionBoxes_Recall/AR@1 = 0.17838019, DetectionBoxes_Recall/AR@10 = 0.30679384, DetectionBoxes_Recall/AR@100 = 0.32879853, DetectionBoxes_Recall/AR@100 (large) = 0.73333335, DetectionBoxes_Recall/AR@100 (medium) = 0.4064849, DetectionBoxes_Recall/AR@100 (small) = 0.087820515, Loss/classification_loss = 9.327623, Loss/localization_loss = 1.3310666, Loss/regularization_loss = 0.37032905, Loss/total_loss = 11.029018, global_step = 68767, learning_rate = 0.004, loss = 11.029018\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 68767: training/model.ckpt-68767\n","I0309 04:32:51.344271 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 68767: training/model.ckpt-68767\n","INFO:tensorflow:global_step/sec: 3.16351\n","I0309 04:32:58.353089 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.16351\n","INFO:tensorflow:loss = 2.1406295, step = 68800 (31.610 sec)\n","I0309 04:32:58.354124 139972636141440 basic_session_run_hooks.py:260] loss = 2.1406295, step = 68800 (31.610 sec)\n","INFO:tensorflow:global_step/sec: 4.84754\n","I0309 04:33:18.982093 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84754\n","INFO:tensorflow:loss = 2.9939115, step = 68900 (20.629 sec)\n","I0309 04:33:18.983110 139972636141440 basic_session_run_hooks.py:260] loss = 2.9939115, step = 68900 (20.629 sec)\n","INFO:tensorflow:global_step/sec: 4.80814\n","I0309 04:33:39.780143 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.80814\n","INFO:tensorflow:loss = 2.4363263, step = 69000 (20.798 sec)\n","I0309 04:33:39.781240 139972636141440 basic_session_run_hooks.py:260] loss = 2.4363263, step = 69000 (20.798 sec)\n","INFO:tensorflow:global_step/sec: 4.85476\n","I0309 04:34:00.378490 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85476\n","INFO:tensorflow:loss = 2.0006444, step = 69100 (20.598 sec)\n","I0309 04:34:00.379493 139972636141440 basic_session_run_hooks.py:260] loss = 2.0006444, step = 69100 (20.598 sec)\n","INFO:tensorflow:global_step/sec: 4.89588\n","I0309 04:34:20.803826 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89588\n","INFO:tensorflow:loss = 2.2906191, step = 69200 (20.425 sec)\n","I0309 04:34:20.804667 139972636141440 basic_session_run_hooks.py:260] loss = 2.2906191, step = 69200 (20.425 sec)\n","INFO:tensorflow:global_step/sec: 4.83707\n","I0309 04:34:41.477480 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83707\n","INFO:tensorflow:loss = 2.3769894, step = 69300 (20.674 sec)\n","I0309 04:34:41.478519 139972636141440 basic_session_run_hooks.py:260] loss = 2.3769894, step = 69300 (20.674 sec)\n","INFO:tensorflow:global_step/sec: 4.85648\n","I0309 04:35:02.068508 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85648\n","INFO:tensorflow:loss = 2.636799, step = 69400 (20.591 sec)\n","I0309 04:35:02.069768 139972636141440 basic_session_run_hooks.py:260] loss = 2.636799, step = 69400 (20.591 sec)\n","INFO:tensorflow:global_step/sec: 4.86737\n","I0309 04:35:22.613465 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86737\n","INFO:tensorflow:loss = 1.3629985, step = 69500 (20.545 sec)\n","I0309 04:35:22.614619 139972636141440 basic_session_run_hooks.py:260] loss = 1.3629985, step = 69500 (20.545 sec)\n","INFO:tensorflow:global_step/sec: 4.85492\n","I0309 04:35:43.211130 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85492\n","INFO:tensorflow:loss = 1.4788966, step = 69600 (20.598 sec)\n","I0309 04:35:43.212136 139972636141440 basic_session_run_hooks.py:260] loss = 1.4788966, step = 69600 (20.598 sec)\n","INFO:tensorflow:global_step/sec: 4.88558\n","I0309 04:36:03.679502 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88558\n","INFO:tensorflow:loss = 2.1715226, step = 69700 (20.469 sec)\n","I0309 04:36:03.680794 139972636141440 basic_session_run_hooks.py:260] loss = 2.1715226, step = 69700 (20.469 sec)\n","INFO:tensorflow:global_step/sec: 4.85541\n","I0309 04:36:24.275097 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85541\n","INFO:tensorflow:loss = 1.6064671, step = 69800 (20.596 sec)\n","I0309 04:36:24.276324 139972636141440 basic_session_run_hooks.py:260] loss = 1.6064671, step = 69800 (20.596 sec)\n","INFO:tensorflow:global_step/sec: 4.85638\n","I0309 04:36:44.866580 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85638\n","INFO:tensorflow:loss = 2.4512813, step = 69900 (20.591 sec)\n","I0309 04:36:44.867619 139972636141440 basic_session_run_hooks.py:260] loss = 2.4512813, step = 69900 (20.591 sec)\n","INFO:tensorflow:global_step/sec: 4.85345\n","I0309 04:37:05.470459 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85345\n","INFO:tensorflow:loss = 1.9785802, step = 70000 (20.604 sec)\n","I0309 04:37:05.471817 139972636141440 basic_session_run_hooks.py:260] loss = 1.9785802, step = 70000 (20.604 sec)\n","INFO:tensorflow:global_step/sec: 4.87937\n","I0309 04:37:25.964890 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87937\n","INFO:tensorflow:loss = 3.0523124, step = 70100 (20.494 sec)\n","I0309 04:37:25.965809 139972636141440 basic_session_run_hooks.py:260] loss = 3.0523124, step = 70100 (20.494 sec)\n","INFO:tensorflow:global_step/sec: 4.8988\n","I0309 04:37:46.378062 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8988\n","INFO:tensorflow:loss = 2.9431078, step = 70200 (20.414 sec)\n","I0309 04:37:46.379987 139972636141440 basic_session_run_hooks.py:260] loss = 2.9431078, step = 70200 (20.414 sec)\n","INFO:tensorflow:global_step/sec: 4.90052\n","I0309 04:38:06.784060 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90052\n","INFO:tensorflow:loss = 2.6131902, step = 70300 (20.405 sec)\n","I0309 04:38:06.784984 139972636141440 basic_session_run_hooks.py:260] loss = 2.6131902, step = 70300 (20.405 sec)\n","INFO:tensorflow:global_step/sec: 4.86378\n","I0309 04:38:27.344244 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86378\n","INFO:tensorflow:loss = 2.0602188, step = 70400 (20.560 sec)\n","I0309 04:38:27.345356 139972636141440 basic_session_run_hooks.py:260] loss = 2.0602188, step = 70400 (20.560 sec)\n","INFO:tensorflow:global_step/sec: 4.9101\n","I0309 04:38:47.710419 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.9101\n","INFO:tensorflow:loss = 2.081395, step = 70500 (20.366 sec)\n","I0309 04:38:47.711624 139972636141440 basic_session_run_hooks.py:260] loss = 2.081395, step = 70500 (20.366 sec)\n","INFO:tensorflow:global_step/sec: 4.91136\n","I0309 04:39:08.071396 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.91136\n","INFO:tensorflow:loss = 2.0380762, step = 70600 (20.361 sec)\n","I0309 04:39:08.072442 139972636141440 basic_session_run_hooks.py:260] loss = 2.0380762, step = 70600 (20.361 sec)\n","INFO:tensorflow:global_step/sec: 4.90111\n","I0309 04:39:28.474906 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90111\n","INFO:tensorflow:loss = 2.9166996, step = 70700 (20.404 sec)\n","I0309 04:39:28.475964 139972636141440 basic_session_run_hooks.py:260] loss = 2.9166996, step = 70700 (20.404 sec)\n","INFO:tensorflow:global_step/sec: 4.86368\n","I0309 04:39:49.035534 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86368\n","INFO:tensorflow:loss = 2.3852904, step = 70800 (20.561 sec)\n","I0309 04:39:49.036507 139972636141440 basic_session_run_hooks.py:260] loss = 2.3852904, step = 70800 (20.561 sec)\n","INFO:tensorflow:global_step/sec: 4.8874\n","I0309 04:40:09.496264 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8874\n","INFO:tensorflow:loss = 1.9244732, step = 70900 (20.461 sec)\n","I0309 04:40:09.497385 139972636141440 basic_session_run_hooks.py:260] loss = 1.9244732, step = 70900 (20.461 sec)\n","INFO:tensorflow:global_step/sec: 4.9046\n","I0309 04:40:29.885304 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.9046\n","INFO:tensorflow:loss = 1.8164976, step = 71000 (20.389 sec)\n","I0309 04:40:29.886276 139972636141440 basic_session_run_hooks.py:260] loss = 1.8164976, step = 71000 (20.389 sec)\n","INFO:tensorflow:global_step/sec: 4.84473\n","I0309 04:40:50.526283 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84473\n","INFO:tensorflow:loss = 3.1776302, step = 71100 (20.641 sec)\n","I0309 04:40:50.527243 139972636141440 basic_session_run_hooks.py:260] loss = 3.1776302, step = 71100 (20.641 sec)\n","INFO:tensorflow:global_step/sec: 4.85951\n","I0309 04:41:11.104502 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85951\n","INFO:tensorflow:loss = 2.0893164, step = 71200 (20.579 sec)\n","I0309 04:41:11.105763 139972636141440 basic_session_run_hooks.py:260] loss = 2.0893164, step = 71200 (20.579 sec)\n","INFO:tensorflow:global_step/sec: 4.8476\n","I0309 04:41:31.733300 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8476\n","INFO:tensorflow:loss = 1.9961128, step = 71300 (20.629 sec)\n","I0309 04:41:31.734283 139972636141440 basic_session_run_hooks.py:260] loss = 1.9961128, step = 71300 (20.629 sec)\n","INFO:tensorflow:global_step/sec: 4.8293\n","I0309 04:41:52.440194 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8293\n","INFO:tensorflow:loss = 2.500097, step = 71400 (20.707 sec)\n","I0309 04:41:52.441154 139972636141440 basic_session_run_hooks.py:260] loss = 2.500097, step = 71400 (20.707 sec)\n","INFO:tensorflow:global_step/sec: 4.87175\n","I0309 04:42:12.966711 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87175\n","INFO:tensorflow:loss = 1.9628915, step = 71500 (20.527 sec)\n","I0309 04:42:12.967826 139972636141440 basic_session_run_hooks.py:260] loss = 1.9628915, step = 71500 (20.527 sec)\n","INFO:tensorflow:global_step/sec: 4.87271\n","I0309 04:42:33.489182 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87271\n","INFO:tensorflow:loss = 2.3357227, step = 71600 (20.523 sec)\n","I0309 04:42:33.490428 139972636141440 basic_session_run_hooks.py:260] loss = 2.3357227, step = 71600 (20.523 sec)\n","INFO:tensorflow:Saving checkpoints for 71634 into training/model.ckpt.\n","I0309 04:42:40.272854 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 71634 into training/model.ckpt.\n","INFO:tensorflow:Skip the current checkpoint eval due to throttle secs (600 secs).\n","I0309 04:42:41.500786 139972636141440 training.py:527] Skip the current checkpoint eval due to throttle secs (600 secs).\n","INFO:tensorflow:global_step/sec: 4.58598\n","I0309 04:42:55.294735 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.58598\n","INFO:tensorflow:loss = 1.7915558, step = 71700 (21.805 sec)\n","I0309 04:42:55.295588 139972636141440 basic_session_run_hooks.py:260] loss = 1.7915558, step = 71700 (21.805 sec)\n","INFO:tensorflow:global_step/sec: 4.88557\n","I0309 04:43:15.763203 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88557\n","INFO:tensorflow:loss = 2.7702959, step = 71800 (20.469 sec)\n","I0309 04:43:15.764362 139972636141440 basic_session_run_hooks.py:260] loss = 2.7702959, step = 71800 (20.469 sec)\n","INFO:tensorflow:global_step/sec: 4.85841\n","I0309 04:43:36.346034 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85841\n","INFO:tensorflow:loss = 1.8047981, step = 71900 (20.583 sec)\n","I0309 04:43:36.347284 139972636141440 basic_session_run_hooks.py:260] loss = 1.8047981, step = 71900 (20.583 sec)\n","INFO:tensorflow:global_step/sec: 4.87155\n","I0309 04:43:56.873397 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87155\n","INFO:tensorflow:loss = 1.9320263, step = 72000 (20.527 sec)\n","I0309 04:43:56.874561 139972636141440 basic_session_run_hooks.py:260] loss = 1.9320263, step = 72000 (20.527 sec)\n","INFO:tensorflow:global_step/sec: 4.87352\n","I0309 04:44:17.392435 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87352\n","INFO:tensorflow:loss = 2.1182432, step = 72100 (20.519 sec)\n","I0309 04:44:17.393390 139972636141440 basic_session_run_hooks.py:260] loss = 2.1182432, step = 72100 (20.519 sec)\n","INFO:tensorflow:global_step/sec: 4.83975\n","I0309 04:44:38.054663 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83975\n","INFO:tensorflow:loss = 2.2287724, step = 72200 (20.662 sec)\n","I0309 04:44:38.055715 139972636141440 basic_session_run_hooks.py:260] loss = 2.2287724, step = 72200 (20.662 sec)\n","INFO:tensorflow:global_step/sec: 4.85099\n","I0309 04:44:58.669026 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85099\n","INFO:tensorflow:loss = 2.7494879, step = 72300 (20.614 sec)\n","I0309 04:44:58.670029 139972636141440 basic_session_run_hooks.py:260] loss = 2.7494879, step = 72300 (20.614 sec)\n","INFO:tensorflow:global_step/sec: 4.87244\n","I0309 04:45:19.192580 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87244\n","INFO:tensorflow:loss = 2.8871827, step = 72400 (20.524 sec)\n","I0309 04:45:19.193613 139972636141440 basic_session_run_hooks.py:260] loss = 2.8871827, step = 72400 (20.524 sec)\n","INFO:tensorflow:global_step/sec: 4.89182\n","I0309 04:45:39.634945 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89182\n","INFO:tensorflow:loss = 2.4726477, step = 72500 (20.442 sec)\n","I0309 04:45:39.635876 139972636141440 basic_session_run_hooks.py:260] loss = 2.4726477, step = 72500 (20.442 sec)\n","INFO:tensorflow:global_step/sec: 4.86725\n","I0309 04:46:00.180353 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86725\n","INFO:tensorflow:loss = 1.8063006, step = 72600 (20.545 sec)\n","I0309 04:46:00.181322 139972636141440 basic_session_run_hooks.py:260] loss = 1.8063006, step = 72600 (20.545 sec)\n","INFO:tensorflow:global_step/sec: 4.88488\n","I0309 04:46:20.651722 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88488\n","INFO:tensorflow:loss = 2.0384097, step = 72700 (20.471 sec)\n","I0309 04:46:20.652627 139972636141440 basic_session_run_hooks.py:260] loss = 2.0384097, step = 72700 (20.471 sec)\n","INFO:tensorflow:global_step/sec: 4.85983\n","I0309 04:46:41.228552 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85983\n","INFO:tensorflow:loss = 2.5093663, step = 72800 (20.577 sec)\n","I0309 04:46:41.229485 139972636141440 basic_session_run_hooks.py:260] loss = 2.5093663, step = 72800 (20.577 sec)\n","INFO:tensorflow:global_step/sec: 4.91094\n","I0309 04:47:01.591197 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.91094\n","INFO:tensorflow:loss = 2.176441, step = 72900 (20.363 sec)\n","I0309 04:47:01.592155 139972636141440 basic_session_run_hooks.py:260] loss = 2.176441, step = 72900 (20.363 sec)\n","INFO:tensorflow:global_step/sec: 4.88931\n","I0309 04:47:22.043967 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88931\n","INFO:tensorflow:loss = 2.080933, step = 73000 (20.453 sec)\n","I0309 04:47:22.045261 139972636141440 basic_session_run_hooks.py:260] loss = 2.080933, step = 73000 (20.453 sec)\n","INFO:tensorflow:global_step/sec: 4.84925\n","I0309 04:47:42.665714 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84925\n","INFO:tensorflow:loss = 1.7942164, step = 73100 (20.622 sec)\n","I0309 04:47:42.666845 139972636141440 basic_session_run_hooks.py:260] loss = 1.7942164, step = 73100 (20.622 sec)\n","INFO:tensorflow:global_step/sec: 4.83301\n","I0309 04:48:03.356769 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83301\n","INFO:tensorflow:loss = 4.4068127, step = 73200 (20.691 sec)\n","I0309 04:48:03.357710 139972636141440 basic_session_run_hooks.py:260] loss = 4.4068127, step = 73200 (20.691 sec)\n","INFO:tensorflow:global_step/sec: 4.85187\n","I0309 04:48:23.967378 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85187\n","INFO:tensorflow:loss = 2.193955, step = 73300 (20.611 sec)\n","I0309 04:48:23.968428 139972636141440 basic_session_run_hooks.py:260] loss = 2.193955, step = 73300 (20.611 sec)\n","INFO:tensorflow:global_step/sec: 4.89817\n","I0309 04:48:44.383188 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89817\n","INFO:tensorflow:loss = 1.798008, step = 73400 (20.416 sec)\n","I0309 04:48:44.384382 139972636141440 basic_session_run_hooks.py:260] loss = 1.798008, step = 73400 (20.416 sec)\n","INFO:tensorflow:global_step/sec: 4.8534\n","I0309 04:49:04.987276 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8534\n","INFO:tensorflow:loss = 2.6043248, step = 73500 (20.604 sec)\n","I0309 04:49:04.988237 139972636141440 basic_session_run_hooks.py:260] loss = 2.6043248, step = 73500 (20.604 sec)\n","INFO:tensorflow:global_step/sec: 4.84947\n","I0309 04:49:25.608083 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84947\n","INFO:tensorflow:loss = 1.9312631, step = 73600 (20.621 sec)\n","I0309 04:49:25.609285 139972636141440 basic_session_run_hooks.py:260] loss = 1.9312631, step = 73600 (20.621 sec)\n","INFO:tensorflow:global_step/sec: 4.85249\n","I0309 04:49:46.216086 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85249\n","INFO:tensorflow:loss = 2.1995661, step = 73700 (20.608 sec)\n","I0309 04:49:46.217285 139972636141440 basic_session_run_hooks.py:260] loss = 2.1995661, step = 73700 (20.608 sec)\n","INFO:tensorflow:global_step/sec: 4.85195\n","I0309 04:50:06.826426 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85195\n","INFO:tensorflow:loss = 3.248207, step = 73800 (20.610 sec)\n","I0309 04:50:06.827361 139972636141440 basic_session_run_hooks.py:260] loss = 3.248207, step = 73800 (20.610 sec)\n","INFO:tensorflow:global_step/sec: 4.86506\n","I0309 04:50:27.381091 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86506\n","INFO:tensorflow:loss = 2.7698119, step = 73900 (20.555 sec)\n","I0309 04:50:27.382199 139972636141440 basic_session_run_hooks.py:260] loss = 2.7698119, step = 73900 (20.555 sec)\n","INFO:tensorflow:global_step/sec: 4.89378\n","I0309 04:50:47.815182 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89378\n","INFO:tensorflow:loss = 2.0764916, step = 74000 (20.434 sec)\n","I0309 04:50:47.816334 139972636141440 basic_session_run_hooks.py:260] loss = 2.0764916, step = 74000 (20.434 sec)\n","INFO:tensorflow:global_step/sec: 4.86778\n","I0309 04:51:08.358438 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86778\n","INFO:tensorflow:loss = 1.9120688, step = 74100 (20.543 sec)\n","I0309 04:51:08.359495 139972636141440 basic_session_run_hooks.py:260] loss = 1.9120688, step = 74100 (20.543 sec)\n","INFO:tensorflow:global_step/sec: 4.85975\n","I0309 04:51:28.935616 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85975\n","INFO:tensorflow:loss = 2.1088035, step = 74200 (20.577 sec)\n","I0309 04:51:28.936896 139972636141440 basic_session_run_hooks.py:260] loss = 2.1088035, step = 74200 (20.577 sec)\n","INFO:tensorflow:global_step/sec: 4.85877\n","I0309 04:51:49.516957 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85877\n","INFO:tensorflow:loss = 1.6375172, step = 74300 (20.581 sec)\n","I0309 04:51:49.517977 139972636141440 basic_session_run_hooks.py:260] loss = 1.6375172, step = 74300 (20.581 sec)\n","INFO:tensorflow:global_step/sec: 4.82718\n","I0309 04:52:10.232986 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82718\n","INFO:tensorflow:loss = 1.7175984, step = 74400 (20.716 sec)\n","I0309 04:52:10.233904 139972636141440 basic_session_run_hooks.py:260] loss = 1.7175984, step = 74400 (20.716 sec)\n","INFO:tensorflow:global_step/sec: 4.87695\n","I0309 04:52:30.737631 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87695\n","INFO:tensorflow:loss = 2.090035, step = 74500 (20.505 sec)\n","I0309 04:52:30.738677 139972636141440 basic_session_run_hooks.py:260] loss = 2.090035, step = 74500 (20.505 sec)\n","INFO:tensorflow:Saving checkpoints for 74548 into training/model.ckpt.\n","I0309 04:52:40.391138 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 74548 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:52:41.668868 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 04:52:41.669448 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 04:52:41.669591 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d48e850>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 04:52:41.708924 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d48e850>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d5c35f0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 04:52:41.871350 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d5c35f0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 04:52:42.372240 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:52:44.682390 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:52:44.710242 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:52:44.737508 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:52:44.764888 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:52:44.791580 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 04:52:44.820009 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 04:52:46.110437 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T04:52:46Z\n","I0309 04:52:46.125396 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T04:52:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 04:52:46.505401 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 04:52:46.506104: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:52:46.506626: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 04:52:46.506733: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 04:52:46.506773: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 04:52:46.506804: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 04:52:46.506829: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 04:52:46.506856: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 04:52:46.506877: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 04:52:46.506899: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 04:52:46.506995: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:52:46.507500: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:52:46.507906: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 04:52:46.508015: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 04:52:46.508031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 04:52:46.508041: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 04:52:46.508156: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:52:46.508634: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 04:52:46.509048: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-74548\n","I0309 04:52:46.510177 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-74548\n","INFO:tensorflow:Running local_init_op.\n","I0309 04:52:47.395825 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 04:52:47.521108 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 04:52:50.967753 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 04:52:50.968416 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.03s)\n","I0309 04:52:50.996647 139970110560000 coco_tools.py:138] DONE (t=0.03s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.57s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.175\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.375\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.130\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.021\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.219\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.665\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.201\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.338\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.360\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.072\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.466\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700\n","INFO:tensorflow:Finished evaluation at 2021-03-09-04:52:51\n","I0309 04:52:51.832253 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-04:52:51\n","INFO:tensorflow:Saving dict for global step 74548: DetectionBoxes_Precision/mAP = 0.17527609, DetectionBoxes_Precision/mAP (large) = 0.665132, DetectionBoxes_Precision/mAP (medium) = 0.21877567, DetectionBoxes_Precision/mAP (small) = 0.021462634, DetectionBoxes_Precision/mAP@.50IOU = 0.37478018, DetectionBoxes_Precision/mAP@.75IOU = 0.13014312, DetectionBoxes_Recall/AR@1 = 0.20130523, DetectionBoxes_Recall/AR@10 = 0.33845383, DetectionBoxes_Recall/AR@100 = 0.35998997, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.46599117, DetectionBoxes_Recall/AR@100 (small) = 0.071794875, Loss/classification_loss = 8.344064, Loss/localization_loss = 1.3790716, Loss/regularization_loss = 0.37292096, Loss/total_loss = 10.096059, global_step = 74548, learning_rate = 0.004, loss = 10.096059\n","I0309 04:52:51.832510 139972636141440 estimator.py:2049] Saving dict for global step 74548: DetectionBoxes_Precision/mAP = 0.17527609, DetectionBoxes_Precision/mAP (large) = 0.665132, DetectionBoxes_Precision/mAP (medium) = 0.21877567, DetectionBoxes_Precision/mAP (small) = 0.021462634, DetectionBoxes_Precision/mAP@.50IOU = 0.37478018, DetectionBoxes_Precision/mAP@.75IOU = 0.13014312, DetectionBoxes_Recall/AR@1 = 0.20130523, DetectionBoxes_Recall/AR@10 = 0.33845383, DetectionBoxes_Recall/AR@100 = 0.35998997, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.46599117, DetectionBoxes_Recall/AR@100 (small) = 0.071794875, Loss/classification_loss = 8.344064, Loss/localization_loss = 1.3790716, Loss/regularization_loss = 0.37292096, Loss/total_loss = 10.096059, global_step = 74548, learning_rate = 0.004, loss = 10.096059\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 74548: training/model.ckpt-74548\n","I0309 04:52:51.835604 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 74548: training/model.ckpt-74548\n","INFO:tensorflow:global_step/sec: 3.12335\n","I0309 04:53:02.754486 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.12335\n","INFO:tensorflow:loss = 1.696027, step = 74600 (32.017 sec)\n","I0309 04:53:02.755527 139972636141440 basic_session_run_hooks.py:260] loss = 1.696027, step = 74600 (32.017 sec)\n","INFO:tensorflow:global_step/sec: 4.87053\n","I0309 04:53:23.286145 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87053\n","INFO:tensorflow:loss = 1.7752914, step = 74700 (20.532 sec)\n","I0309 04:53:23.287344 139972636141440 basic_session_run_hooks.py:260] loss = 1.7752914, step = 74700 (20.532 sec)\n","INFO:tensorflow:global_step/sec: 4.86841\n","I0309 04:53:43.826698 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86841\n","INFO:tensorflow:loss = 2.3462596, step = 74800 (20.541 sec)\n","I0309 04:53:43.827859 139972636141440 basic_session_run_hooks.py:260] loss = 2.3462596, step = 74800 (20.541 sec)\n","INFO:tensorflow:global_step/sec: 4.9136\n","I0309 04:54:04.178391 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.9136\n","INFO:tensorflow:loss = 1.4045691, step = 74900 (20.351 sec)\n","I0309 04:54:04.179322 139972636141440 basic_session_run_hooks.py:260] loss = 1.4045691, step = 74900 (20.351 sec)\n","INFO:tensorflow:global_step/sec: 4.87064\n","I0309 04:54:24.709585 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87064\n","INFO:tensorflow:loss = 2.4698043, step = 75000 (20.532 sec)\n","I0309 04:54:24.710826 139972636141440 basic_session_run_hooks.py:260] loss = 2.4698043, step = 75000 (20.532 sec)\n","INFO:tensorflow:global_step/sec: 4.86219\n","I0309 04:54:45.276423 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86219\n","INFO:tensorflow:loss = 3.3340795, step = 75100 (20.567 sec)\n","I0309 04:54:45.277429 139972636141440 basic_session_run_hooks.py:260] loss = 3.3340795, step = 75100 (20.567 sec)\n","INFO:tensorflow:global_step/sec: 4.86839\n","I0309 04:55:05.817070 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86839\n","INFO:tensorflow:loss = 2.7266939, step = 75200 (20.541 sec)\n","I0309 04:55:05.818447 139972636141440 basic_session_run_hooks.py:260] loss = 2.7266939, step = 75200 (20.541 sec)\n","INFO:tensorflow:global_step/sec: 4.84258\n","I0309 04:55:26.467262 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84258\n","INFO:tensorflow:loss = 2.0124233, step = 75300 (20.650 sec)\n","I0309 04:55:26.468274 139972636141440 basic_session_run_hooks.py:260] loss = 2.0124233, step = 75300 (20.650 sec)\n","INFO:tensorflow:global_step/sec: 4.92493\n","I0309 04:55:46.772108 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.92493\n","INFO:tensorflow:loss = 1.5561546, step = 75400 (20.305 sec)\n","I0309 04:55:46.773074 139972636141440 basic_session_run_hooks.py:260] loss = 1.5561546, step = 75400 (20.305 sec)\n","INFO:tensorflow:global_step/sec: 4.88268\n","I0309 04:56:07.252679 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88268\n","INFO:tensorflow:loss = 2.1309626, step = 75500 (20.480 sec)\n","I0309 04:56:07.253561 139972636141440 basic_session_run_hooks.py:260] loss = 2.1309626, step = 75500 (20.480 sec)\n","INFO:tensorflow:global_step/sec: 4.83347\n","I0309 04:56:27.941738 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83347\n","INFO:tensorflow:loss = 1.914113, step = 75600 (20.689 sec)\n","I0309 04:56:27.942760 139972636141440 basic_session_run_hooks.py:260] loss = 1.914113, step = 75600 (20.689 sec)\n","INFO:tensorflow:global_step/sec: 4.85605\n","I0309 04:56:48.534599 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85605\n","INFO:tensorflow:loss = 2.613843, step = 75700 (20.593 sec)\n","I0309 04:56:48.535711 139972636141440 basic_session_run_hooks.py:260] loss = 2.613843, step = 75700 (20.593 sec)\n","INFO:tensorflow:global_step/sec: 4.83718\n","I0309 04:57:09.207782 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83718\n","INFO:tensorflow:loss = 1.8312829, step = 75800 (20.673 sec)\n","I0309 04:57:09.208903 139972636141440 basic_session_run_hooks.py:260] loss = 1.8312829, step = 75800 (20.673 sec)\n","INFO:tensorflow:global_step/sec: 4.86994\n","I0309 04:57:29.741922 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86994\n","INFO:tensorflow:loss = 1.9072255, step = 75900 (20.534 sec)\n","I0309 04:57:29.743037 139972636141440 basic_session_run_hooks.py:260] loss = 1.9072255, step = 75900 (20.534 sec)\n","INFO:tensorflow:global_step/sec: 4.85752\n","I0309 04:57:50.328577 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85752\n","INFO:tensorflow:loss = 2.7763352, step = 76000 (20.587 sec)\n","I0309 04:57:50.329988 139972636141440 basic_session_run_hooks.py:260] loss = 2.7763352, step = 76000 (20.587 sec)\n","INFO:tensorflow:global_step/sec: 4.88792\n","I0309 04:58:10.787171 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88792\n","INFO:tensorflow:loss = 2.5861473, step = 76100 (20.458 sec)\n","I0309 04:58:10.788073 139972636141440 basic_session_run_hooks.py:260] loss = 2.5861473, step = 76100 (20.458 sec)\n","INFO:tensorflow:global_step/sec: 4.85959\n","I0309 04:58:31.365048 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85959\n","INFO:tensorflow:loss = 2.054337, step = 76200 (20.578 sec)\n","I0309 04:58:31.365978 139972636141440 basic_session_run_hooks.py:260] loss = 2.054337, step = 76200 (20.578 sec)\n","INFO:tensorflow:global_step/sec: 4.87754\n","I0309 04:58:51.867164 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87754\n","INFO:tensorflow:loss = 2.2723403, step = 76300 (20.502 sec)\n","I0309 04:58:51.868118 139972636141440 basic_session_run_hooks.py:260] loss = 2.2723403, step = 76300 (20.502 sec)\n","INFO:tensorflow:global_step/sec: 4.88731\n","I0309 04:59:12.328350 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88731\n","INFO:tensorflow:loss = 2.4123924, step = 76400 (20.461 sec)\n","I0309 04:59:12.329284 139972636141440 basic_session_run_hooks.py:260] loss = 2.4123924, step = 76400 (20.461 sec)\n","INFO:tensorflow:global_step/sec: 4.85334\n","I0309 04:59:32.932706 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85334\n","INFO:tensorflow:loss = 1.8274443, step = 76500 (20.604 sec)\n","I0309 04:59:32.933735 139972636141440 basic_session_run_hooks.py:260] loss = 1.8274443, step = 76500 (20.604 sec)\n","INFO:tensorflow:global_step/sec: 4.87966\n","I0309 04:59:53.425954 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87966\n","INFO:tensorflow:loss = 1.9399974, step = 76600 (20.493 sec)\n","I0309 04:59:53.426856 139972636141440 basic_session_run_hooks.py:260] loss = 1.9399974, step = 76600 (20.493 sec)\n","INFO:tensorflow:global_step/sec: 4.88682\n","I0309 05:00:13.889118 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88682\n","INFO:tensorflow:loss = 2.112762, step = 76700 (20.463 sec)\n","I0309 05:00:13.890288 139972636141440 basic_session_run_hooks.py:260] loss = 2.112762, step = 76700 (20.463 sec)\n","INFO:tensorflow:global_step/sec: 4.86543\n","I0309 05:00:34.442330 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86543\n","INFO:tensorflow:loss = 2.0566342, step = 76800 (20.553 sec)\n","I0309 05:00:34.443300 139972636141440 basic_session_run_hooks.py:260] loss = 2.0566342, step = 76800 (20.553 sec)\n","INFO:tensorflow:global_step/sec: 4.8828\n","I0309 05:00:54.922386 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8828\n","INFO:tensorflow:loss = 2.1003976, step = 76900 (20.480 sec)\n","I0309 05:00:54.923624 139972636141440 basic_session_run_hooks.py:260] loss = 2.1003976, step = 76900 (20.480 sec)\n","INFO:tensorflow:global_step/sec: 4.86384\n","I0309 05:01:15.482254 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86384\n","INFO:tensorflow:loss = 2.0411313, step = 77000 (20.560 sec)\n","I0309 05:01:15.483301 139972636141440 basic_session_run_hooks.py:260] loss = 2.0411313, step = 77000 (20.560 sec)\n","INFO:tensorflow:global_step/sec: 4.88294\n","I0309 05:01:35.961773 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88294\n","INFO:tensorflow:loss = 2.5732262, step = 77100 (20.480 sec)\n","I0309 05:01:35.963017 139972636141440 basic_session_run_hooks.py:260] loss = 2.5732262, step = 77100 (20.480 sec)\n","INFO:tensorflow:global_step/sec: 4.86516\n","I0309 05:01:56.516018 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86516\n","INFO:tensorflow:loss = 1.8415455, step = 77200 (20.554 sec)\n","I0309 05:01:56.517236 139972636141440 basic_session_run_hooks.py:260] loss = 1.8415455, step = 77200 (20.554 sec)\n","INFO:tensorflow:global_step/sec: 4.87342\n","I0309 05:02:17.035490 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87342\n","INFO:tensorflow:loss = 3.1503406, step = 77300 (20.519 sec)\n","I0309 05:02:17.036472 139972636141440 basic_session_run_hooks.py:260] loss = 3.1503406, step = 77300 (20.519 sec)\n","INFO:tensorflow:global_step/sec: 4.89596\n","I0309 05:02:37.460504 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89596\n","INFO:tensorflow:loss = 1.9592278, step = 77400 (20.425 sec)\n","I0309 05:02:37.461481 139972636141440 basic_session_run_hooks.py:260] loss = 1.9592278, step = 77400 (20.425 sec)\n","INFO:tensorflow:Saving checkpoints for 77416 into training/model.ckpt.\n","I0309 05:02:40.527734 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 77416 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:02:41.808135 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:02:41.808737 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 05:02:41.808875 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d540a4790>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 05:02:41.850271 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d540a4790>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3dc70c20> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 05:02:42.010979 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3dc70c20> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 05:02:42.500371 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:02:44.455196 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:02:44.483380 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:02:44.510808 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:02:44.537990 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:02:44.564632 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:02:44.591567 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 05:02:45.904541 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T05:02:45Z\n","I0309 05:02:45.924399 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T05:02:45Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 05:02:46.316663 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 05:02:46.317327: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:02:46.317806: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 05:02:46.317903: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 05:02:46.317931: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 05:02:46.317955: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 05:02:46.317986: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 05:02:46.318009: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 05:02:46.318029: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 05:02:46.318051: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 05:02:46.318138: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:02:46.318668: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:02:46.319077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 05:02:46.319123: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 05:02:46.319137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 05:02:46.319147: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 05:02:46.319259: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:02:46.319771: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:02:46.320214: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-77416\n","I0309 05:02:46.321289 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-77416\n","INFO:tensorflow:Running local_init_op.\n","I0309 05:02:47.203705 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 05:02:47.325723 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 05:02:51.006282 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 05:02:51.006817 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.01s)\n","I0309 05:02:51.013400 139970118952704 coco_tools.py:138] DONE (t=0.01s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.56s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.160\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.358\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.099\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.021\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.192\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.695\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.187\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.301\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.313\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.051\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.404\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.717\n","INFO:tensorflow:Finished evaluation at 2021-03-09-05:02:51\n","I0309 05:02:51.859766 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-05:02:51\n","INFO:tensorflow:Saving dict for global step 77416: DetectionBoxes_Precision/mAP = 0.1601633, DetectionBoxes_Precision/mAP (large) = 0.69458747, DetectionBoxes_Precision/mAP (medium) = 0.19222426, DetectionBoxes_Precision/mAP (small) = 0.020938959, DetectionBoxes_Precision/mAP@.50IOU = 0.3575331, DetectionBoxes_Precision/mAP@.75IOU = 0.099322975, DetectionBoxes_Recall/AR@1 = 0.18689759, DetectionBoxes_Recall/AR@10 = 0.3009538, DetectionBoxes_Recall/AR@100 = 0.31318608, DetectionBoxes_Recall/AR@100 (large) = 0.71666664, DetectionBoxes_Recall/AR@100 (medium) = 0.40379512, DetectionBoxes_Recall/AR@100 (small) = 0.051495727, Loss/classification_loss = 8.709909, Loss/localization_loss = 1.4445673, Loss/regularization_loss = 0.3740292, Loss/total_loss = 10.528504, global_step = 77416, learning_rate = 0.004, loss = 10.528504\n","I0309 05:02:51.860036 139972636141440 estimator.py:2049] Saving dict for global step 77416: DetectionBoxes_Precision/mAP = 0.1601633, DetectionBoxes_Precision/mAP (large) = 0.69458747, DetectionBoxes_Precision/mAP (medium) = 0.19222426, DetectionBoxes_Precision/mAP (small) = 0.020938959, DetectionBoxes_Precision/mAP@.50IOU = 0.3575331, DetectionBoxes_Precision/mAP@.75IOU = 0.099322975, DetectionBoxes_Recall/AR@1 = 0.18689759, DetectionBoxes_Recall/AR@10 = 0.3009538, DetectionBoxes_Recall/AR@100 = 0.31318608, DetectionBoxes_Recall/AR@100 (large) = 0.71666664, DetectionBoxes_Recall/AR@100 (medium) = 0.40379512, DetectionBoxes_Recall/AR@100 (small) = 0.051495727, Loss/classification_loss = 8.709909, Loss/localization_loss = 1.4445673, Loss/regularization_loss = 0.3740292, Loss/total_loss = 10.528504, global_step = 77416, learning_rate = 0.004, loss = 10.528504\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 77416: training/model.ckpt-77416\n","I0309 05:02:51.863447 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 77416: training/model.ckpt-77416\n","INFO:tensorflow:global_step/sec: 3.14332\n","I0309 05:03:09.274274 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.14332\n","INFO:tensorflow:loss = 2.5318077, step = 77500 (31.814 sec)\n","I0309 05:03:09.275363 139972636141440 basic_session_run_hooks.py:260] loss = 2.5318077, step = 77500 (31.814 sec)\n","INFO:tensorflow:global_step/sec: 4.86459\n","I0309 05:03:29.830665 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86459\n","INFO:tensorflow:loss = 2.3005302, step = 77600 (20.557 sec)\n","I0309 05:03:29.832061 139972636141440 basic_session_run_hooks.py:260] loss = 2.3005302, step = 77600 (20.557 sec)\n","INFO:tensorflow:global_step/sec: 4.84923\n","I0309 05:03:50.452511 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84923\n","INFO:tensorflow:loss = 1.9414526, step = 77700 (20.621 sec)\n","I0309 05:03:50.453550 139972636141440 basic_session_run_hooks.py:260] loss = 1.9414526, step = 77700 (20.621 sec)\n","INFO:tensorflow:global_step/sec: 4.88821\n","I0309 05:04:10.909965 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88821\n","INFO:tensorflow:loss = 3.3232203, step = 77800 (20.458 sec)\n","I0309 05:04:10.911515 139972636141440 basic_session_run_hooks.py:260] loss = 3.3232203, step = 77800 (20.458 sec)\n","INFO:tensorflow:global_step/sec: 4.88078\n","I0309 05:04:31.398429 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88078\n","INFO:tensorflow:loss = 2.4344594, step = 77900 (20.488 sec)\n","I0309 05:04:31.399639 139972636141440 basic_session_run_hooks.py:260] loss = 2.4344594, step = 77900 (20.488 sec)\n","INFO:tensorflow:global_step/sec: 4.83863\n","I0309 05:04:52.065500 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83863\n","INFO:tensorflow:loss = 3.2004309, step = 78000 (20.667 sec)\n","I0309 05:04:52.066515 139972636141440 basic_session_run_hooks.py:260] loss = 3.2004309, step = 78000 (20.667 sec)\n","INFO:tensorflow:global_step/sec: 4.86628\n","I0309 05:05:12.615048 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86628\n","INFO:tensorflow:loss = 2.3925912, step = 78100 (20.550 sec)\n","I0309 05:05:12.616186 139972636141440 basic_session_run_hooks.py:260] loss = 2.3925912, step = 78100 (20.550 sec)\n","INFO:tensorflow:global_step/sec: 4.85811\n","I0309 05:05:33.199193 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85811\n","INFO:tensorflow:loss = 2.4042659, step = 78200 (20.584 sec)\n","I0309 05:05:33.200548 139972636141440 basic_session_run_hooks.py:260] loss = 2.4042659, step = 78200 (20.584 sec)\n","INFO:tensorflow:global_step/sec: 4.91376\n","I0309 05:05:53.550170 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.91376\n","INFO:tensorflow:loss = 2.1500745, step = 78300 (20.351 sec)\n","I0309 05:05:53.551315 139972636141440 basic_session_run_hooks.py:260] loss = 2.1500745, step = 78300 (20.351 sec)\n","INFO:tensorflow:global_step/sec: 4.87774\n","I0309 05:06:14.051486 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87774\n","INFO:tensorflow:loss = 4.5586004, step = 78400 (20.501 sec)\n","I0309 05:06:14.052562 139972636141440 basic_session_run_hooks.py:260] loss = 4.5586004, step = 78400 (20.501 sec)\n","INFO:tensorflow:global_step/sec: 4.83092\n","I0309 05:06:34.751453 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83092\n","INFO:tensorflow:loss = 2.2690542, step = 78500 (20.700 sec)\n","I0309 05:06:34.752352 139972636141440 basic_session_run_hooks.py:260] loss = 2.2690542, step = 78500 (20.700 sec)\n","INFO:tensorflow:global_step/sec: 4.86404\n","I0309 05:06:55.310503 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86404\n","INFO:tensorflow:loss = 2.4426248, step = 78600 (20.559 sec)\n","I0309 05:06:55.311519 139972636141440 basic_session_run_hooks.py:260] loss = 2.4426248, step = 78600 (20.559 sec)\n","INFO:tensorflow:global_step/sec: 4.92017\n","I0309 05:07:15.635033 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.92017\n","INFO:tensorflow:loss = 2.924298, step = 78700 (20.325 sec)\n","I0309 05:07:15.636089 139972636141440 basic_session_run_hooks.py:260] loss = 2.924298, step = 78700 (20.325 sec)\n","INFO:tensorflow:global_step/sec: 4.8691\n","I0309 05:07:36.172685 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8691\n","INFO:tensorflow:loss = 1.6679549, step = 78800 (20.538 sec)\n","I0309 05:07:36.173855 139972636141440 basic_session_run_hooks.py:260] loss = 1.6679549, step = 78800 (20.538 sec)\n","INFO:tensorflow:global_step/sec: 4.8738\n","I0309 05:07:56.690553 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8738\n","INFO:tensorflow:loss = 1.6839783, step = 78900 (20.518 sec)\n","I0309 05:07:56.691596 139972636141440 basic_session_run_hooks.py:260] loss = 1.6839783, step = 78900 (20.518 sec)\n","INFO:tensorflow:global_step/sec: 4.89213\n","I0309 05:08:17.131565 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89213\n","INFO:tensorflow:loss = 2.5300593, step = 79000 (20.441 sec)\n","I0309 05:08:17.132730 139972636141440 basic_session_run_hooks.py:260] loss = 2.5300593, step = 79000 (20.441 sec)\n","INFO:tensorflow:global_step/sec: 4.89035\n","I0309 05:08:37.580010 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89035\n","INFO:tensorflow:loss = 2.3732843, step = 79100 (20.448 sec)\n","I0309 05:08:37.581118 139972636141440 basic_session_run_hooks.py:260] loss = 2.3732843, step = 79100 (20.448 sec)\n","INFO:tensorflow:global_step/sec: 4.89991\n","I0309 05:08:57.988537 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89991\n","INFO:tensorflow:loss = 2.9339519, step = 79200 (20.409 sec)\n","I0309 05:08:57.990306 139972636141440 basic_session_run_hooks.py:260] loss = 2.9339519, step = 79200 (20.409 sec)\n","INFO:tensorflow:global_step/sec: 4.89227\n","I0309 05:09:18.428928 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89227\n","INFO:tensorflow:loss = 2.5089, step = 79300 (20.440 sec)\n","I0309 05:09:18.429857 139972636141440 basic_session_run_hooks.py:260] loss = 2.5089, step = 79300 (20.440 sec)\n","INFO:tensorflow:global_step/sec: 4.88557\n","I0309 05:09:38.897366 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88557\n","INFO:tensorflow:loss = 1.9918156, step = 79400 (20.468 sec)\n","I0309 05:09:38.898196 139972636141440 basic_session_run_hooks.py:260] loss = 1.9918156, step = 79400 (20.468 sec)\n","INFO:tensorflow:global_step/sec: 4.85844\n","I0309 05:09:59.480096 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85844\n","INFO:tensorflow:loss = 1.7318935, step = 79500 (20.583 sec)\n","I0309 05:09:59.481015 139972636141440 basic_session_run_hooks.py:260] loss = 1.7318935, step = 79500 (20.583 sec)\n","INFO:tensorflow:global_step/sec: 4.94351\n","I0309 05:10:19.708649 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.94351\n","INFO:tensorflow:loss = 1.791431, step = 79600 (20.229 sec)\n","I0309 05:10:19.709683 139972636141440 basic_session_run_hooks.py:260] loss = 1.791431, step = 79600 (20.229 sec)\n","INFO:tensorflow:global_step/sec: 4.86194\n","I0309 05:10:40.276560 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86194\n","INFO:tensorflow:loss = 3.5040956, step = 79700 (20.568 sec)\n","I0309 05:10:40.277645 139972636141440 basic_session_run_hooks.py:260] loss = 3.5040956, step = 79700 (20.568 sec)\n","INFO:tensorflow:global_step/sec: 4.89933\n","I0309 05:11:00.687531 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89933\n","INFO:tensorflow:loss = 2.3738415, step = 79800 (20.411 sec)\n","I0309 05:11:00.688736 139972636141440 basic_session_run_hooks.py:260] loss = 2.3738415, step = 79800 (20.411 sec)\n","INFO:tensorflow:global_step/sec: 4.86232\n","I0309 05:11:21.253820 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86232\n","INFO:tensorflow:loss = 2.3317873, step = 79900 (20.566 sec)\n","I0309 05:11:21.254964 139972636141440 basic_session_run_hooks.py:260] loss = 2.3317873, step = 79900 (20.566 sec)\n","INFO:tensorflow:global_step/sec: 4.84952\n","I0309 05:11:41.874438 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84952\n","INFO:tensorflow:loss = 2.380948, step = 80000 (20.621 sec)\n","I0309 05:11:41.875490 139972636141440 basic_session_run_hooks.py:260] loss = 2.380948, step = 80000 (20.621 sec)\n","INFO:tensorflow:global_step/sec: 4.87662\n","I0309 05:12:02.380664 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87662\n","INFO:tensorflow:loss = 2.6188414, step = 80100 (20.506 sec)\n","I0309 05:12:02.381619 139972636141440 basic_session_run_hooks.py:260] loss = 2.6188414, step = 80100 (20.506 sec)\n","INFO:tensorflow:global_step/sec: 4.86031\n","I0309 05:12:22.955291 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86031\n","INFO:tensorflow:loss = 1.8363048, step = 80200 (20.575 sec)\n","I0309 05:12:22.956563 139972636141440 basic_session_run_hooks.py:260] loss = 1.8363048, step = 80200 (20.575 sec)\n","INFO:tensorflow:Saving checkpoints for 80288 into training/model.ckpt.\n","I0309 05:12:40.708169 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 80288 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:12:41.955687 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:12:41.956254 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 05:12:41.956403 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3c687090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 05:12:41.993979 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3c687090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d471950> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 05:12:42.158914 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d471950> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 05:12:42.638406 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:12:44.600061 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:12:44.633537 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:12:44.661960 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:12:44.691980 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:12:44.720550 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:12:44.748980 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 05:12:46.071052 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T05:12:46Z\n","I0309 05:12:46.086706 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T05:12:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 05:12:46.472347 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 05:12:46.473026: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:12:46.473547: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 05:12:46.473663: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 05:12:46.473724: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 05:12:46.473754: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 05:12:46.473783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 05:12:46.473805: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 05:12:46.473826: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 05:12:46.473849: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 05:12:46.473942: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:12:46.474440: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:12:46.474866: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 05:12:46.474978: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 05:12:46.474994: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 05:12:46.475004: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 05:12:46.475125: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:12:46.475709: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:12:46.476307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-80288\n","I0309 05:12:46.477270 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-80288\n","INFO:tensorflow:Running local_init_op.\n","I0309 05:12:47.319513 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 05:12:47.437634 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 05:12:50.773065 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 05:12:50.773575 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 05:12:50.776591 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.55s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.168\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.382\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.147\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.038\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.207\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.640\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.185\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.319\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.352\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.435\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.717\n","INFO:tensorflow:Finished evaluation at 2021-03-09-05:12:51\n","I0309 05:12:51.629850 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-05:12:51\n","INFO:tensorflow:Saving dict for global step 80288: DetectionBoxes_Precision/mAP = 0.16750365, DetectionBoxes_Precision/mAP (large) = 0.63975394, DetectionBoxes_Precision/mAP (medium) = 0.20655759, DetectionBoxes_Precision/mAP (small) = 0.037590984, DetectionBoxes_Precision/mAP@.50IOU = 0.38211992, DetectionBoxes_Precision/mAP@.75IOU = 0.14664045, DetectionBoxes_Recall/AR@1 = 0.18495649, DetectionBoxes_Recall/AR@10 = 0.3189257, DetectionBoxes_Recall/AR@100 = 0.3520415, DetectionBoxes_Recall/AR@100 (large) = 0.71666664, DetectionBoxes_Recall/AR@100 (medium) = 0.4350037, DetectionBoxes_Recall/AR@100 (small) = 0.09871795, Loss/classification_loss = 8.799741, Loss/localization_loss = 1.3261228, Loss/regularization_loss = 0.3751793, Loss/total_loss = 10.501042, global_step = 80288, learning_rate = 0.004, loss = 10.501042\n","I0309 05:12:51.630103 139972636141440 estimator.py:2049] Saving dict for global step 80288: DetectionBoxes_Precision/mAP = 0.16750365, DetectionBoxes_Precision/mAP (large) = 0.63975394, DetectionBoxes_Precision/mAP (medium) = 0.20655759, DetectionBoxes_Precision/mAP (small) = 0.037590984, DetectionBoxes_Precision/mAP@.50IOU = 0.38211992, DetectionBoxes_Precision/mAP@.75IOU = 0.14664045, DetectionBoxes_Recall/AR@1 = 0.18495649, DetectionBoxes_Recall/AR@10 = 0.3189257, DetectionBoxes_Recall/AR@100 = 0.3520415, DetectionBoxes_Recall/AR@100 (large) = 0.71666664, DetectionBoxes_Recall/AR@100 (medium) = 0.4350037, DetectionBoxes_Recall/AR@100 (small) = 0.09871795, Loss/classification_loss = 8.799741, Loss/localization_loss = 1.3261228, Loss/regularization_loss = 0.3751793, Loss/total_loss = 10.501042, global_step = 80288, learning_rate = 0.004, loss = 10.501042\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 80288: training/model.ckpt-80288\n","I0309 05:12:51.633481 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 80288: training/model.ckpt-80288\n","INFO:tensorflow:global_step/sec: 3.18602\n","I0309 05:12:54.342419 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.18602\n","INFO:tensorflow:loss = 1.6740658, step = 80300 (31.387 sec)\n","I0309 05:12:54.343348 139972636141440 basic_session_run_hooks.py:260] loss = 1.6740658, step = 80300 (31.387 sec)\n","INFO:tensorflow:global_step/sec: 4.85939\n","I0309 05:13:14.921145 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85939\n","INFO:tensorflow:loss = 3.5624287, step = 80400 (20.579 sec)\n","I0309 05:13:14.922205 139972636141440 basic_session_run_hooks.py:260] loss = 3.5624287, step = 80400 (20.579 sec)\n","INFO:tensorflow:global_step/sec: 4.86383\n","I0309 05:13:35.481082 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86383\n","INFO:tensorflow:loss = 1.8440044, step = 80500 (20.560 sec)\n","I0309 05:13:35.482131 139972636141440 basic_session_run_hooks.py:260] loss = 1.8440044, step = 80500 (20.560 sec)\n","INFO:tensorflow:global_step/sec: 4.89315\n","I0309 05:13:55.917797 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89315\n","INFO:tensorflow:loss = 3.86386, step = 80600 (20.437 sec)\n","I0309 05:13:55.918709 139972636141440 basic_session_run_hooks.py:260] loss = 3.86386, step = 80600 (20.437 sec)\n","INFO:tensorflow:global_step/sec: 4.91752\n","I0309 05:14:16.253336 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.91752\n","INFO:tensorflow:loss = 2.9795027, step = 80700 (20.336 sec)\n","I0309 05:14:16.254381 139972636141440 basic_session_run_hooks.py:260] loss = 2.9795027, step = 80700 (20.336 sec)\n","INFO:tensorflow:global_step/sec: 4.90941\n","I0309 05:14:36.622364 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90941\n","INFO:tensorflow:loss = 1.6521225, step = 80800 (20.369 sec)\n","I0309 05:14:36.623617 139972636141440 basic_session_run_hooks.py:260] loss = 1.6521225, step = 80800 (20.369 sec)\n","INFO:tensorflow:global_step/sec: 4.87453\n","I0309 05:14:57.137155 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87453\n","INFO:tensorflow:loss = 2.185707, step = 80900 (20.515 sec)\n","I0309 05:14:57.138131 139972636141440 basic_session_run_hooks.py:260] loss = 2.185707, step = 80900 (20.515 sec)\n","INFO:tensorflow:global_step/sec: 4.86\n","I0309 05:15:17.713304 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86\n","INFO:tensorflow:loss = 1.5792295, step = 81000 (20.576 sec)\n","I0309 05:15:17.714316 139972636141440 basic_session_run_hooks.py:260] loss = 1.5792295, step = 81000 (20.576 sec)\n","INFO:tensorflow:global_step/sec: 4.87647\n","I0309 05:15:38.219876 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87647\n","INFO:tensorflow:loss = 4.8990083, step = 81100 (20.506 sec)\n","I0309 05:15:38.220792 139972636141440 basic_session_run_hooks.py:260] loss = 4.8990083, step = 81100 (20.506 sec)\n","INFO:tensorflow:global_step/sec: 4.86702\n","I0309 05:15:58.766360 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86702\n","INFO:tensorflow:loss = 2.168161, step = 81200 (20.547 sec)\n","I0309 05:15:58.767497 139972636141440 basic_session_run_hooks.py:260] loss = 2.168161, step = 81200 (20.547 sec)\n","INFO:tensorflow:global_step/sec: 4.85933\n","I0309 05:16:19.345310 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85933\n","INFO:tensorflow:loss = 1.6096561, step = 81300 (20.579 sec)\n","I0309 05:16:19.346420 139972636141440 basic_session_run_hooks.py:260] loss = 1.6096561, step = 81300 (20.579 sec)\n","INFO:tensorflow:global_step/sec: 4.86752\n","I0309 05:16:39.889657 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86752\n","INFO:tensorflow:loss = 2.1890385, step = 81400 (20.545 sec)\n","I0309 05:16:39.891198 139972636141440 basic_session_run_hooks.py:260] loss = 2.1890385, step = 81400 (20.545 sec)\n","INFO:tensorflow:global_step/sec: 4.82456\n","I0309 05:17:00.616917 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82456\n","INFO:tensorflow:loss = 2.656428, step = 81500 (20.727 sec)\n","I0309 05:17:00.618077 139972636141440 basic_session_run_hooks.py:260] loss = 2.656428, step = 81500 (20.727 sec)\n","INFO:tensorflow:global_step/sec: 4.92077\n","I0309 05:17:20.938936 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.92077\n","INFO:tensorflow:loss = 2.9421105, step = 81600 (20.322 sec)\n","I0309 05:17:20.940170 139972636141440 basic_session_run_hooks.py:260] loss = 2.9421105, step = 81600 (20.322 sec)\n","INFO:tensorflow:global_step/sec: 4.84378\n","I0309 05:17:41.583984 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84378\n","INFO:tensorflow:loss = 2.8828301, step = 81700 (20.645 sec)\n","I0309 05:17:41.585163 139972636141440 basic_session_run_hooks.py:260] loss = 2.8828301, step = 81700 (20.645 sec)\n","INFO:tensorflow:global_step/sec: 4.866\n","I0309 05:18:02.134750 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.866\n","INFO:tensorflow:loss = 1.3038, step = 81800 (20.550 sec)\n","I0309 05:18:02.135656 139972636141440 basic_session_run_hooks.py:260] loss = 1.3038, step = 81800 (20.550 sec)\n","INFO:tensorflow:global_step/sec: 4.87267\n","I0309 05:18:22.657414 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87267\n","INFO:tensorflow:loss = 2.577171, step = 81900 (20.523 sec)\n","I0309 05:18:22.658603 139972636141440 basic_session_run_hooks.py:260] loss = 2.577171, step = 81900 (20.523 sec)\n","INFO:tensorflow:global_step/sec: 4.84561\n","I0309 05:18:43.294671 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84561\n","INFO:tensorflow:loss = 1.4089142, step = 82000 (20.637 sec)\n","I0309 05:18:43.295938 139972636141440 basic_session_run_hooks.py:260] loss = 1.4089142, step = 82000 (20.637 sec)\n","INFO:tensorflow:global_step/sec: 4.88535\n","I0309 05:19:03.764012 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88535\n","INFO:tensorflow:loss = 1.6204853, step = 82100 (20.469 sec)\n","I0309 05:19:03.765074 139972636141440 basic_session_run_hooks.py:260] loss = 1.6204853, step = 82100 (20.469 sec)\n","INFO:tensorflow:global_step/sec: 4.85743\n","I0309 05:19:24.351032 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85743\n","INFO:tensorflow:loss = 1.9622416, step = 82200 (20.587 sec)\n","I0309 05:19:24.351977 139972636141440 basic_session_run_hooks.py:260] loss = 1.9622416, step = 82200 (20.587 sec)\n","INFO:tensorflow:global_step/sec: 4.87763\n","I0309 05:19:44.852782 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87763\n","INFO:tensorflow:loss = 2.0448284, step = 82300 (20.502 sec)\n","I0309 05:19:44.853853 139972636141440 basic_session_run_hooks.py:260] loss = 2.0448284, step = 82300 (20.502 sec)\n","INFO:tensorflow:global_step/sec: 4.913\n","I0309 05:20:05.206948 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.913\n","INFO:tensorflow:loss = 2.0978272, step = 82400 (20.354 sec)\n","I0309 05:20:05.208074 139972636141440 basic_session_run_hooks.py:260] loss = 2.0978272, step = 82400 (20.354 sec)\n","INFO:tensorflow:global_step/sec: 4.88912\n","I0309 05:20:25.660562 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88912\n","INFO:tensorflow:loss = 2.7278128, step = 82500 (20.454 sec)\n","I0309 05:20:25.661595 139972636141440 basic_session_run_hooks.py:260] loss = 2.7278128, step = 82500 (20.454 sec)\n","INFO:tensorflow:global_step/sec: 4.90664\n","I0309 05:20:46.041050 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90664\n","INFO:tensorflow:loss = 2.6626873, step = 82600 (20.381 sec)\n","I0309 05:20:46.042250 139972636141440 basic_session_run_hooks.py:260] loss = 2.6626873, step = 82600 (20.381 sec)\n","INFO:tensorflow:global_step/sec: 4.94627\n","I0309 05:21:06.258312 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.94627\n","INFO:tensorflow:loss = 3.1193116, step = 82700 (20.217 sec)\n","I0309 05:21:06.259305 139972636141440 basic_session_run_hooks.py:260] loss = 3.1193116, step = 82700 (20.217 sec)\n","INFO:tensorflow:global_step/sec: 4.88148\n","I0309 05:21:26.743909 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88148\n","INFO:tensorflow:loss = 2.23237, step = 82800 (20.486 sec)\n","I0309 05:21:26.745029 139972636141440 basic_session_run_hooks.py:260] loss = 2.23237, step = 82800 (20.486 sec)\n","INFO:tensorflow:global_step/sec: 4.89328\n","I0309 05:21:47.180078 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89328\n","INFO:tensorflow:loss = 1.4766209, step = 82900 (20.436 sec)\n","I0309 05:21:47.181239 139972636141440 basic_session_run_hooks.py:260] loss = 1.4766209, step = 82900 (20.436 sec)\n","INFO:tensorflow:global_step/sec: 4.85405\n","I0309 05:22:07.781500 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85405\n","INFO:tensorflow:loss = 1.9184895, step = 83000 (20.601 sec)\n","I0309 05:22:07.782455 139972636141440 basic_session_run_hooks.py:260] loss = 1.9184895, step = 83000 (20.601 sec)\n","INFO:tensorflow:global_step/sec: 4.87152\n","I0309 05:22:28.308918 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87152\n","INFO:tensorflow:loss = 2.3591912, step = 83100 (20.528 sec)\n","I0309 05:22:28.310045 139972636141440 basic_session_run_hooks.py:260] loss = 2.3591912, step = 83100 (20.528 sec)\n","INFO:tensorflow:Saving checkpoints for 83161 into training/model.ckpt.\n","I0309 05:22:40.834274 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 83161 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:22:42.131745 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:22:42.132286 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 05:22:42.132421 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d812090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 05:22:42.168772 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d812090>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d8747a0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 05:22:42.328654 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d8747a0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 05:22:42.813403 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:22:45.196476 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:22:45.225054 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:22:45.251852 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:22:45.279624 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:22:45.306965 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:22:45.334347 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 05:22:46.642137 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T05:22:46Z\n","I0309 05:22:46.657191 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T05:22:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 05:22:47.046436 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 05:22:47.047125: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:22:47.047695: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 05:22:47.047826: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 05:22:47.047857: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 05:22:47.047886: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 05:22:47.047909: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 05:22:47.047936: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 05:22:47.047961: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 05:22:47.047988: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 05:22:47.048081: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:22:47.048603: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:22:47.049019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 05:22:47.049064: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 05:22:47.049077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 05:22:47.049087: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 05:22:47.049190: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:22:47.049710: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:22:47.050125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-83161\n","I0309 05:22:47.051107 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-83161\n","INFO:tensorflow:Running local_init_op.\n","I0309 05:22:47.933883 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 05:22:48.067189 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 05:22:51.686779 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 05:22:51.687225 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 05:22:51.691981 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.54s).\n","Accumulating evaluation results...\n","DONE (t=0.11s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.189\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.393\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.133\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.027\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.231\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.738\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.184\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.333\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.362\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.112\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.448\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.750\n","INFO:tensorflow:Finished evaluation at 2021-03-09-05:22:52\n","I0309 05:22:52.552885 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-05:22:52\n","INFO:tensorflow:Saving dict for global step 83161: DetectionBoxes_Precision/mAP = 0.18924816, DetectionBoxes_Precision/mAP (large) = 0.7378713, DetectionBoxes_Precision/mAP (medium) = 0.23064058, DetectionBoxes_Precision/mAP (small) = 0.02678487, DetectionBoxes_Precision/mAP@.50IOU = 0.39312756, DetectionBoxes_Precision/mAP@.75IOU = 0.13296159, DetectionBoxes_Recall/AR@1 = 0.18413654, DetectionBoxes_Recall/AR@10 = 0.33338353, DetectionBoxes_Recall/AR@100 = 0.3615462, DetectionBoxes_Recall/AR@100 (large) = 0.75, DetectionBoxes_Recall/AR@100 (medium) = 0.4478261, DetectionBoxes_Recall/AR@100 (small) = 0.11175214, Loss/classification_loss = 8.623209, Loss/localization_loss = 1.17925, Loss/regularization_loss = 0.37657532, Loss/total_loss = 10.179032, global_step = 83161, learning_rate = 0.004, loss = 10.179032\n","I0309 05:22:52.553151 139972636141440 estimator.py:2049] Saving dict for global step 83161: DetectionBoxes_Precision/mAP = 0.18924816, DetectionBoxes_Precision/mAP (large) = 0.7378713, DetectionBoxes_Precision/mAP (medium) = 0.23064058, DetectionBoxes_Precision/mAP (small) = 0.02678487, DetectionBoxes_Precision/mAP@.50IOU = 0.39312756, DetectionBoxes_Precision/mAP@.75IOU = 0.13296159, DetectionBoxes_Recall/AR@1 = 0.18413654, DetectionBoxes_Recall/AR@10 = 0.33338353, DetectionBoxes_Recall/AR@100 = 0.3615462, DetectionBoxes_Recall/AR@100 (large) = 0.75, DetectionBoxes_Recall/AR@100 (medium) = 0.4478261, DetectionBoxes_Recall/AR@100 (small) = 0.11175214, Loss/classification_loss = 8.623209, Loss/localization_loss = 1.17925, Loss/regularization_loss = 0.37657532, Loss/total_loss = 10.179032, global_step = 83161, learning_rate = 0.004, loss = 10.179032\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 83161: training/model.ckpt-83161\n","I0309 05:22:52.556372 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 83161: training/model.ckpt-83161\n","INFO:tensorflow:global_step/sec: 3.07811\n","I0309 05:23:00.796370 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.07811\n","INFO:tensorflow:loss = 1.3434165, step = 83200 (32.487 sec)\n","I0309 05:23:00.797363 139972636141440 basic_session_run_hooks.py:260] loss = 1.3434165, step = 83200 (32.487 sec)\n","INFO:tensorflow:global_step/sec: 4.88635\n","I0309 05:23:21.261502 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88635\n","INFO:tensorflow:loss = 2.510548, step = 83300 (20.465 sec)\n","I0309 05:23:21.262479 139972636141440 basic_session_run_hooks.py:260] loss = 2.510548, step = 83300 (20.465 sec)\n","INFO:tensorflow:global_step/sec: 4.8434\n","I0309 05:23:41.908193 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8434\n","INFO:tensorflow:loss = 2.139967, step = 83400 (20.647 sec)\n","I0309 05:23:41.909363 139972636141440 basic_session_run_hooks.py:260] loss = 2.139967, step = 83400 (20.647 sec)\n","INFO:tensorflow:global_step/sec: 4.94282\n","I0309 05:24:02.139566 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.94282\n","INFO:tensorflow:loss = 1.2498292, step = 83500 (20.231 sec)\n","I0309 05:24:02.140555 139972636141440 basic_session_run_hooks.py:260] loss = 1.2498292, step = 83500 (20.231 sec)\n","INFO:tensorflow:global_step/sec: 4.90307\n","I0309 05:24:22.534927 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90307\n","INFO:tensorflow:loss = 3.3255239, step = 83600 (20.395 sec)\n","I0309 05:24:22.535847 139972636141440 basic_session_run_hooks.py:260] loss = 3.3255239, step = 83600 (20.395 sec)\n","INFO:tensorflow:global_step/sec: 4.85353\n","I0309 05:24:43.138694 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85353\n","INFO:tensorflow:loss = 1.603542, step = 83700 (20.604 sec)\n","I0309 05:24:43.139676 139972636141440 basic_session_run_hooks.py:260] loss = 1.603542, step = 83700 (20.604 sec)\n","INFO:tensorflow:global_step/sec: 4.89343\n","I0309 05:25:03.574025 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89343\n","INFO:tensorflow:loss = 1.8015068, step = 83800 (20.436 sec)\n","I0309 05:25:03.575269 139972636141440 basic_session_run_hooks.py:260] loss = 1.8015068, step = 83800 (20.436 sec)\n","INFO:tensorflow:global_step/sec: 4.86537\n","I0309 05:25:24.127450 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86537\n","INFO:tensorflow:loss = 1.9844831, step = 83900 (20.553 sec)\n","I0309 05:25:24.128400 139972636141440 basic_session_run_hooks.py:260] loss = 1.9844831, step = 83900 (20.553 sec)\n","INFO:tensorflow:global_step/sec: 4.8238\n","I0309 05:25:44.857999 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8238\n","INFO:tensorflow:loss = 1.9888363, step = 84000 (20.731 sec)\n","I0309 05:25:44.859369 139972636141440 basic_session_run_hooks.py:260] loss = 1.9888363, step = 84000 (20.731 sec)\n","INFO:tensorflow:global_step/sec: 4.89456\n","I0309 05:26:05.288866 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89456\n","INFO:tensorflow:loss = 1.905942, step = 84100 (20.431 sec)\n","I0309 05:26:05.290047 139972636141440 basic_session_run_hooks.py:260] loss = 1.905942, step = 84100 (20.431 sec)\n","INFO:tensorflow:global_step/sec: 4.85715\n","I0309 05:26:25.877092 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85715\n","INFO:tensorflow:loss = 2.001816, step = 84200 (20.588 sec)\n","I0309 05:26:25.878166 139972636141440 basic_session_run_hooks.py:260] loss = 2.001816, step = 84200 (20.588 sec)\n","INFO:tensorflow:global_step/sec: 4.86258\n","I0309 05:26:46.442325 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86258\n","INFO:tensorflow:loss = 1.8834817, step = 84300 (20.565 sec)\n","I0309 05:26:46.443390 139972636141440 basic_session_run_hooks.py:260] loss = 1.8834817, step = 84300 (20.565 sec)\n","INFO:tensorflow:global_step/sec: 4.82892\n","I0309 05:27:07.150878 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82892\n","INFO:tensorflow:loss = 2.2187808, step = 84400 (20.708 sec)\n","I0309 05:27:07.151862 139972636141440 basic_session_run_hooks.py:260] loss = 2.2187808, step = 84400 (20.708 sec)\n","INFO:tensorflow:global_step/sec: 4.87873\n","I0309 05:27:27.648040 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87873\n","INFO:tensorflow:loss = 2.3243303, step = 84500 (20.497 sec)\n","I0309 05:27:27.648949 139972636141440 basic_session_run_hooks.py:260] loss = 2.3243303, step = 84500 (20.497 sec)\n","INFO:tensorflow:global_step/sec: 4.84845\n","I0309 05:27:48.273176 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84845\n","INFO:tensorflow:loss = 2.221495, step = 84600 (20.625 sec)\n","I0309 05:27:48.274325 139972636141440 basic_session_run_hooks.py:260] loss = 2.221495, step = 84600 (20.625 sec)\n","INFO:tensorflow:global_step/sec: 4.9089\n","I0309 05:28:08.644374 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.9089\n","INFO:tensorflow:loss = 2.4029777, step = 84700 (20.371 sec)\n","I0309 05:28:08.645318 139972636141440 basic_session_run_hooks.py:260] loss = 2.4029777, step = 84700 (20.371 sec)\n","INFO:tensorflow:global_step/sec: 4.8789\n","I0309 05:28:29.140774 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8789\n","INFO:tensorflow:loss = 1.8289378, step = 84800 (20.497 sec)\n","I0309 05:28:29.142473 139972636141440 basic_session_run_hooks.py:260] loss = 1.8289378, step = 84800 (20.497 sec)\n","INFO:tensorflow:global_step/sec: 4.86647\n","I0309 05:28:49.689527 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86647\n","INFO:tensorflow:loss = 2.198654, step = 84900 (20.548 sec)\n","I0309 05:28:49.690497 139972636141440 basic_session_run_hooks.py:260] loss = 2.198654, step = 84900 (20.548 sec)\n","INFO:tensorflow:global_step/sec: 4.89256\n","I0309 05:29:10.128732 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89256\n","INFO:tensorflow:loss = 3.0237567, step = 85000 (20.439 sec)\n","I0309 05:29:10.129738 139972636141440 basic_session_run_hooks.py:260] loss = 3.0237567, step = 85000 (20.439 sec)\n","INFO:tensorflow:global_step/sec: 4.82664\n","I0309 05:29:30.847064 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82664\n","INFO:tensorflow:loss = 5.2190557, step = 85100 (20.718 sec)\n","I0309 05:29:30.848005 139972636141440 basic_session_run_hooks.py:260] loss = 5.2190557, step = 85100 (20.718 sec)\n","INFO:tensorflow:global_step/sec: 4.84538\n","I0309 05:29:51.485321 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84538\n","INFO:tensorflow:loss = 1.8640791, step = 85200 (20.638 sec)\n","I0309 05:29:51.486364 139972636141440 basic_session_run_hooks.py:260] loss = 1.8640791, step = 85200 (20.638 sec)\n","INFO:tensorflow:global_step/sec: 4.87928\n","I0309 05:30:11.980107 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87928\n","INFO:tensorflow:loss = 1.7436863, step = 85300 (20.495 sec)\n","I0309 05:30:11.981037 139972636141440 basic_session_run_hooks.py:260] loss = 1.7436863, step = 85300 (20.495 sec)\n","INFO:tensorflow:global_step/sec: 4.90466\n","I0309 05:30:32.368893 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90466\n","INFO:tensorflow:loss = 1.3779591, step = 85400 (20.389 sec)\n","I0309 05:30:32.370135 139972636141440 basic_session_run_hooks.py:260] loss = 1.3779591, step = 85400 (20.389 sec)\n","INFO:tensorflow:global_step/sec: 4.86043\n","I0309 05:30:52.943203 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86043\n","INFO:tensorflow:loss = 2.9730597, step = 85500 (20.574 sec)\n","I0309 05:30:52.944243 139972636141440 basic_session_run_hooks.py:260] loss = 2.9730597, step = 85500 (20.574 sec)\n","INFO:tensorflow:global_step/sec: 4.85624\n","I0309 05:31:13.535306 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85624\n","INFO:tensorflow:loss = 2.9153, step = 85600 (20.592 sec)\n","I0309 05:31:13.536443 139972636141440 basic_session_run_hooks.py:260] loss = 2.9153, step = 85600 (20.592 sec)\n","INFO:tensorflow:global_step/sec: 4.83984\n","I0309 05:31:34.197154 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83984\n","INFO:tensorflow:loss = 3.330856, step = 85700 (20.662 sec)\n","I0309 05:31:34.198229 139972636141440 basic_session_run_hooks.py:260] loss = 3.330856, step = 85700 (20.662 sec)\n","INFO:tensorflow:global_step/sec: 4.8831\n","I0309 05:31:54.675958 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8831\n","INFO:tensorflow:loss = 2.087271, step = 85800 (20.479 sec)\n","I0309 05:31:54.677014 139972636141440 basic_session_run_hooks.py:260] loss = 2.087271, step = 85800 (20.479 sec)\n","INFO:tensorflow:global_step/sec: 4.87131\n","I0309 05:32:15.204324 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87131\n","INFO:tensorflow:loss = 2.4979887, step = 85900 (20.529 sec)\n","I0309 05:32:15.205621 139972636141440 basic_session_run_hooks.py:260] loss = 2.4979887, step = 85900 (20.529 sec)\n","INFO:tensorflow:global_step/sec: 4.86608\n","I0309 05:32:35.754726 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86608\n","INFO:tensorflow:loss = 2.313476, step = 86000 (20.550 sec)\n","I0309 05:32:35.755927 139972636141440 basic_session_run_hooks.py:260] loss = 2.313476, step = 86000 (20.550 sec)\n","INFO:tensorflow:Saving checkpoints for 86026 into training/model.ckpt.\n","I0309 05:32:40.897414 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 86026 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:32:42.154597 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:32:42.155113 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 05:32:42.155262 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4de501e1d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 05:32:42.192505 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4de501e1d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d58109b00> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 05:32:42.356998 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d58109b00> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 05:32:42.851740 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:32:44.872609 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:32:44.900910 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:32:44.928970 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:32:44.957597 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:32:44.985242 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:32:45.013027 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 05:32:46.330650 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T05:32:46Z\n","I0309 05:32:46.350600 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T05:32:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 05:32:47.017175 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 05:32:47.017935: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:32:47.018457: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 05:32:47.018573: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 05:32:47.018625: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 05:32:47.018662: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 05:32:47.018690: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 05:32:47.018712: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 05:32:47.018737: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 05:32:47.018763: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 05:32:47.018862: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:32:47.019353: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:32:47.019758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 05:32:47.019864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 05:32:47.019880: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 05:32:47.019890: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 05:32:47.019992: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:32:47.020461: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:32:47.020876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-86026\n","I0309 05:32:47.022010 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-86026\n","INFO:tensorflow:Running local_init_op.\n","I0309 05:32:47.912179 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 05:32:48.037839 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 05:32:51.564994 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 05:32:51.565553 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 05:32:51.570266 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.53s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.165\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.367\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.118\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.025\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.201\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.630\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.175\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.287\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.338\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.115\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.415\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.683\n","INFO:tensorflow:Finished evaluation at 2021-03-09-05:32:52\n","I0309 05:32:52.432646 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-05:32:52\n","INFO:tensorflow:Saving dict for global step 86026: DetectionBoxes_Precision/mAP = 0.16512473, DetectionBoxes_Precision/mAP (large) = 0.6295196, DetectionBoxes_Precision/mAP (medium) = 0.20091307, DetectionBoxes_Precision/mAP (small) = 0.024755197, DetectionBoxes_Precision/mAP@.50IOU = 0.36736262, DetectionBoxes_Precision/mAP@.75IOU = 0.11811866, DetectionBoxes_Recall/AR@1 = 0.175251, DetectionBoxes_Recall/AR@10 = 0.28748327, DetectionBoxes_Recall/AR@100 = 0.33842036, DetectionBoxes_Recall/AR@100 (large) = 0.68333334, DetectionBoxes_Recall/AR@100 (medium) = 0.4151437, DetectionBoxes_Recall/AR@100 (small) = 0.114957266, Loss/classification_loss = 8.957494, Loss/localization_loss = 1.3252952, Loss/regularization_loss = 0.3775382, Loss/total_loss = 10.660326, global_step = 86026, learning_rate = 0.004, loss = 10.660326\n","I0309 05:32:52.432905 139972636141440 estimator.py:2049] Saving dict for global step 86026: DetectionBoxes_Precision/mAP = 0.16512473, DetectionBoxes_Precision/mAP (large) = 0.6295196, DetectionBoxes_Precision/mAP (medium) = 0.20091307, DetectionBoxes_Precision/mAP (small) = 0.024755197, DetectionBoxes_Precision/mAP@.50IOU = 0.36736262, DetectionBoxes_Precision/mAP@.75IOU = 0.11811866, DetectionBoxes_Recall/AR@1 = 0.175251, DetectionBoxes_Recall/AR@10 = 0.28748327, DetectionBoxes_Recall/AR@100 = 0.33842036, DetectionBoxes_Recall/AR@100 (large) = 0.68333334, DetectionBoxes_Recall/AR@100 (medium) = 0.4151437, DetectionBoxes_Recall/AR@100 (small) = 0.114957266, Loss/classification_loss = 8.957494, Loss/localization_loss = 1.3252952, Loss/regularization_loss = 0.3775382, Loss/total_loss = 10.660326, global_step = 86026, learning_rate = 0.004, loss = 10.660326\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 86026: training/model.ckpt-86026\n","I0309 05:32:52.436158 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 86026: training/model.ckpt-86026\n","INFO:tensorflow:global_step/sec: 3.11975\n","I0309 05:33:07.808580 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.11975\n","INFO:tensorflow:loss = 2.8563874, step = 86100 (32.054 sec)\n","I0309 05:33:07.809508 139972636141440 basic_session_run_hooks.py:260] loss = 2.8563874, step = 86100 (32.054 sec)\n","INFO:tensorflow:global_step/sec: 4.84043\n","I0309 05:33:28.467904 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84043\n","INFO:tensorflow:loss = 1.7792399, step = 86200 (20.660 sec)\n","I0309 05:33:28.469416 139972636141440 basic_session_run_hooks.py:260] loss = 1.7792399, step = 86200 (20.660 sec)\n","INFO:tensorflow:global_step/sec: 4.85212\n","I0309 05:33:49.077433 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85212\n","INFO:tensorflow:loss = 2.0322044, step = 86300 (20.609 sec)\n","I0309 05:33:49.078341 139972636141440 basic_session_run_hooks.py:260] loss = 2.0322044, step = 86300 (20.609 sec)\n","INFO:tensorflow:global_step/sec: 4.88219\n","I0309 05:34:09.560071 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88219\n","INFO:tensorflow:loss = 1.8248698, step = 86400 (20.483 sec)\n","I0309 05:34:09.561285 139972636141440 basic_session_run_hooks.py:260] loss = 1.8248698, step = 86400 (20.483 sec)\n","INFO:tensorflow:global_step/sec: 4.88425\n","I0309 05:34:30.034070 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88425\n","INFO:tensorflow:loss = 1.9665445, step = 86500 (20.474 sec)\n","I0309 05:34:30.035044 139972636141440 basic_session_run_hooks.py:260] loss = 1.9665445, step = 86500 (20.474 sec)\n","INFO:tensorflow:global_step/sec: 4.86213\n","I0309 05:34:50.601178 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86213\n","INFO:tensorflow:loss = 2.6593907, step = 86600 (20.567 sec)\n","I0309 05:34:50.602285 139972636141440 basic_session_run_hooks.py:260] loss = 2.6593907, step = 86600 (20.567 sec)\n","INFO:tensorflow:global_step/sec: 4.84446\n","I0309 05:35:11.243339 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84446\n","INFO:tensorflow:loss = 3.395279, step = 86700 (20.642 sec)\n","I0309 05:35:11.244205 139972636141440 basic_session_run_hooks.py:260] loss = 3.395279, step = 86700 (20.642 sec)\n","INFO:tensorflow:global_step/sec: 4.85449\n","I0309 05:35:31.842814 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85449\n","INFO:tensorflow:loss = 2.246894, step = 86800 (20.600 sec)\n","I0309 05:35:31.843870 139972636141440 basic_session_run_hooks.py:260] loss = 2.246894, step = 86800 (20.600 sec)\n","INFO:tensorflow:global_step/sec: 4.86283\n","I0309 05:35:52.406951 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86283\n","INFO:tensorflow:loss = 1.7280653, step = 86900 (20.564 sec)\n","I0309 05:35:52.407884 139972636141440 basic_session_run_hooks.py:260] loss = 1.7280653, step = 86900 (20.564 sec)\n","INFO:tensorflow:global_step/sec: 4.86753\n","I0309 05:36:12.951264 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86753\n","INFO:tensorflow:loss = 2.412784, step = 87000 (20.544 sec)\n","I0309 05:36:12.952369 139972636141440 basic_session_run_hooks.py:260] loss = 2.412784, step = 87000 (20.544 sec)\n","INFO:tensorflow:global_step/sec: 4.8564\n","I0309 05:36:33.542642 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8564\n","INFO:tensorflow:loss = 2.5031414, step = 87100 (20.591 sec)\n","I0309 05:36:33.543572 139972636141440 basic_session_run_hooks.py:260] loss = 2.5031414, step = 87100 (20.591 sec)\n","INFO:tensorflow:global_step/sec: 4.8696\n","I0309 05:36:54.078233 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8696\n","INFO:tensorflow:loss = 1.7570734, step = 87200 (20.536 sec)\n","I0309 05:36:54.079115 139972636141440 basic_session_run_hooks.py:260] loss = 1.7570734, step = 87200 (20.536 sec)\n","INFO:tensorflow:global_step/sec: 4.87759\n","I0309 05:37:14.580139 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87759\n","INFO:tensorflow:loss = 2.063942, step = 87300 (20.502 sec)\n","I0309 05:37:14.581277 139972636141440 basic_session_run_hooks.py:260] loss = 2.063942, step = 87300 (20.502 sec)\n","INFO:tensorflow:global_step/sec: 4.82437\n","I0309 05:37:35.308204 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82437\n","INFO:tensorflow:loss = 2.4766967, step = 87400 (20.728 sec)\n","I0309 05:37:35.309305 139972636141440 basic_session_run_hooks.py:260] loss = 2.4766967, step = 87400 (20.728 sec)\n","INFO:tensorflow:global_step/sec: 4.84648\n","I0309 05:37:55.941712 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84648\n","INFO:tensorflow:loss = 1.3304439, step = 87500 (20.634 sec)\n","I0309 05:37:55.942916 139972636141440 basic_session_run_hooks.py:260] loss = 1.3304439, step = 87500 (20.634 sec)\n","INFO:tensorflow:global_step/sec: 4.8798\n","I0309 05:38:16.434372 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8798\n","INFO:tensorflow:loss = 1.7928603, step = 87600 (20.492 sec)\n","I0309 05:38:16.435353 139972636141440 basic_session_run_hooks.py:260] loss = 1.7928603, step = 87600 (20.492 sec)\n","INFO:tensorflow:global_step/sec: 4.85139\n","I0309 05:38:37.047025 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85139\n","INFO:tensorflow:loss = 1.7002705, step = 87700 (20.613 sec)\n","I0309 05:38:37.048202 139972636141440 basic_session_run_hooks.py:260] loss = 1.7002705, step = 87700 (20.613 sec)\n","INFO:tensorflow:global_step/sec: 4.88496\n","I0309 05:38:57.517962 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88496\n","INFO:tensorflow:loss = 2.8792486, step = 87800 (20.471 sec)\n","I0309 05:38:57.519190 139972636141440 basic_session_run_hooks.py:260] loss = 2.8792486, step = 87800 (20.471 sec)\n","INFO:tensorflow:global_step/sec: 4.83697\n","I0309 05:39:18.192091 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83697\n","INFO:tensorflow:loss = 2.3391612, step = 87900 (20.674 sec)\n","I0309 05:39:18.193097 139972636141440 basic_session_run_hooks.py:260] loss = 2.3391612, step = 87900 (20.674 sec)\n","INFO:tensorflow:global_step/sec: 4.8577\n","I0309 05:39:38.777940 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8577\n","INFO:tensorflow:loss = 3.9969392, step = 88000 (20.586 sec)\n","I0309 05:39:38.779163 139972636141440 basic_session_run_hooks.py:260] loss = 3.9969392, step = 88000 (20.586 sec)\n","INFO:tensorflow:global_step/sec: 4.89618\n","I0309 05:39:59.202044 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89618\n","INFO:tensorflow:loss = 2.3171473, step = 88100 (20.424 sec)\n","I0309 05:39:59.203198 139972636141440 basic_session_run_hooks.py:260] loss = 2.3171473, step = 88100 (20.424 sec)\n","INFO:tensorflow:global_step/sec: 4.86514\n","I0309 05:40:19.756429 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86514\n","INFO:tensorflow:loss = 1.7635608, step = 88200 (20.554 sec)\n","I0309 05:40:19.757527 139972636141440 basic_session_run_hooks.py:260] loss = 1.7635608, step = 88200 (20.554 sec)\n","INFO:tensorflow:global_step/sec: 4.8951\n","I0309 05:40:40.185072 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8951\n","INFO:tensorflow:loss = 2.023159, step = 88300 (20.429 sec)\n","I0309 05:40:40.186034 139972636141440 basic_session_run_hooks.py:260] loss = 2.023159, step = 88300 (20.429 sec)\n","INFO:tensorflow:global_step/sec: 4.86143\n","I0309 05:41:00.755107 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86143\n","INFO:tensorflow:loss = 1.7296432, step = 88400 (20.570 sec)\n","I0309 05:41:00.756150 139972636141440 basic_session_run_hooks.py:260] loss = 1.7296432, step = 88400 (20.570 sec)\n","INFO:tensorflow:global_step/sec: 4.90742\n","I0309 05:41:21.132431 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90742\n","INFO:tensorflow:loss = 1.7197824, step = 88500 (20.377 sec)\n","I0309 05:41:21.133596 139972636141440 basic_session_run_hooks.py:260] loss = 1.7197824, step = 88500 (20.377 sec)\n","INFO:tensorflow:global_step/sec: 4.869\n","I0309 05:41:41.670545 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.869\n","INFO:tensorflow:loss = 2.3675778, step = 88600 (20.538 sec)\n","I0309 05:41:41.671797 139972636141440 basic_session_run_hooks.py:260] loss = 2.3675778, step = 88600 (20.538 sec)\n","INFO:tensorflow:global_step/sec: 4.87202\n","I0309 05:42:02.195979 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87202\n","INFO:tensorflow:loss = 2.1119158, step = 88700 (20.525 sec)\n","I0309 05:42:02.196840 139972636141440 basic_session_run_hooks.py:260] loss = 2.1119158, step = 88700 (20.525 sec)\n","INFO:tensorflow:global_step/sec: 4.85698\n","I0309 05:42:22.784800 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85698\n","INFO:tensorflow:loss = 1.8655988, step = 88800 (20.589 sec)\n","I0309 05:42:22.785899 139972636141440 basic_session_run_hooks.py:260] loss = 1.8655988, step = 88800 (20.589 sec)\n","INFO:tensorflow:Saving checkpoints for 88891 into training/model.ckpt.\n","I0309 05:42:41.097172 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 88891 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:42:42.376403 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:42:42.376940 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 05:42:42.377091 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d58150d10>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 05:42:42.414302 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d58150d10>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d329c20> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 05:42:42.573658 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d329c20> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 05:42:43.066615 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:42:45.004206 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:42:45.031883 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:42:45.059453 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:42:45.089173 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:42:45.116950 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:42:45.144160 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 05:42:46.428893 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T05:42:46Z\n","I0309 05:42:46.443542 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T05:42:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 05:42:46.821888 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 05:42:46.822562: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:42:46.823058: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 05:42:46.823179: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 05:42:46.823247: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 05:42:46.823278: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 05:42:46.823305: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 05:42:46.823333: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 05:42:46.823358: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 05:42:46.823384: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 05:42:46.823493: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:42:46.824195: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:42:46.824878: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 05:42:46.824950: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 05:42:46.824974: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 05:42:46.824997: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 05:42:46.825191: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:42:46.825972: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:42:46.826633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-88891\n","I0309 05:42:46.828195 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-88891\n","INFO:tensorflow:Running local_init_op.\n","I0309 05:42:47.711964 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 05:42:47.834671 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 05:42:51.282473 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 05:42:51.283549 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 05:42:51.287964 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.53s).\n","Accumulating evaluation results...\n","DONE (t=0.12s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.175\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.380\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.105\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.029\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.222\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.679\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.180\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.346\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.367\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.467\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700\n","INFO:tensorflow:Finished evaluation at 2021-03-09-05:42:52\n","I0309 05:42:52.161660 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-05:42:52\n","INFO:tensorflow:Saving dict for global step 88891: DetectionBoxes_Precision/mAP = 0.17475036, DetectionBoxes_Precision/mAP (large) = 0.6792079, DetectionBoxes_Precision/mAP (medium) = 0.22243129, DetectionBoxes_Precision/mAP (small) = 0.028823486, DetectionBoxes_Precision/mAP@.50IOU = 0.38019028, DetectionBoxes_Precision/mAP@.75IOU = 0.10495217, DetectionBoxes_Recall/AR@1 = 0.17955154, DetectionBoxes_Recall/AR@10 = 0.3455154, DetectionBoxes_Recall/AR@100 = 0.3674197, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.4666544, DetectionBoxes_Recall/AR@100 (small) = 0.098504275, Loss/classification_loss = 7.835328, Loss/localization_loss = 1.2158086, Loss/regularization_loss = 0.3784509, Loss/total_loss = 9.429586, global_step = 88891, learning_rate = 0.004, loss = 9.429586\n","I0309 05:42:52.161972 139972636141440 estimator.py:2049] Saving dict for global step 88891: DetectionBoxes_Precision/mAP = 0.17475036, DetectionBoxes_Precision/mAP (large) = 0.6792079, DetectionBoxes_Precision/mAP (medium) = 0.22243129, DetectionBoxes_Precision/mAP (small) = 0.028823486, DetectionBoxes_Precision/mAP@.50IOU = 0.38019028, DetectionBoxes_Precision/mAP@.75IOU = 0.10495217, DetectionBoxes_Recall/AR@1 = 0.17955154, DetectionBoxes_Recall/AR@10 = 0.3455154, DetectionBoxes_Recall/AR@100 = 0.3674197, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.4666544, DetectionBoxes_Recall/AR@100 (small) = 0.098504275, Loss/classification_loss = 7.835328, Loss/localization_loss = 1.2158086, Loss/regularization_loss = 0.3784509, Loss/total_loss = 9.429586, global_step = 88891, learning_rate = 0.004, loss = 9.429586\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 88891: training/model.ckpt-88891\n","I0309 05:42:52.165597 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 88891: training/model.ckpt-88891\n","INFO:tensorflow:global_step/sec: 3.17495\n","I0309 05:42:54.281390 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.17495\n","INFO:tensorflow:loss = 1.322469, step = 88900 (31.496 sec)\n","I0309 05:42:54.282355 139972636141440 basic_session_run_hooks.py:260] loss = 1.322469, step = 88900 (31.496 sec)\n","INFO:tensorflow:global_step/sec: 4.86766\n","I0309 05:43:14.825170 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86766\n","INFO:tensorflow:loss = 1.5505791, step = 89000 (20.544 sec)\n","I0309 05:43:14.826270 139972636141440 basic_session_run_hooks.py:260] loss = 1.5505791, step = 89000 (20.544 sec)\n","INFO:tensorflow:global_step/sec: 4.81996\n","I0309 05:43:35.572199 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.81996\n","INFO:tensorflow:loss = 1.9023191, step = 89100 (20.747 sec)\n","I0309 05:43:35.573261 139972636141440 basic_session_run_hooks.py:260] loss = 1.9023191, step = 89100 (20.747 sec)\n","INFO:tensorflow:global_step/sec: 4.90149\n","I0309 05:43:55.974140 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90149\n","INFO:tensorflow:loss = 3.0908866, step = 89200 (20.402 sec)\n","I0309 05:43:55.975185 139972636141440 basic_session_run_hooks.py:260] loss = 3.0908866, step = 89200 (20.402 sec)\n","INFO:tensorflow:global_step/sec: 4.90315\n","I0309 05:44:16.369234 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90315\n","INFO:tensorflow:loss = 1.9304643, step = 89300 (20.395 sec)\n","I0309 05:44:16.370359 139972636141440 basic_session_run_hooks.py:260] loss = 1.9304643, step = 89300 (20.395 sec)\n","INFO:tensorflow:global_step/sec: 4.90706\n","I0309 05:44:36.748019 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90706\n","INFO:tensorflow:loss = 3.0052905, step = 89400 (20.379 sec)\n","I0309 05:44:36.749042 139972636141440 basic_session_run_hooks.py:260] loss = 3.0052905, step = 89400 (20.379 sec)\n","INFO:tensorflow:global_step/sec: 4.84582\n","I0309 05:44:57.384366 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84582\n","INFO:tensorflow:loss = 2.017205, step = 89500 (20.636 sec)\n","I0309 05:44:57.385170 139972636141440 basic_session_run_hooks.py:260] loss = 2.017205, step = 89500 (20.636 sec)\n","INFO:tensorflow:global_step/sec: 4.8894\n","I0309 05:45:17.836746 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8894\n","INFO:tensorflow:loss = 1.5940983, step = 89600 (20.453 sec)\n","I0309 05:45:17.837855 139972636141440 basic_session_run_hooks.py:260] loss = 1.5940983, step = 89600 (20.453 sec)\n","INFO:tensorflow:global_step/sec: 4.85806\n","I0309 05:45:38.421090 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85806\n","INFO:tensorflow:loss = 1.4939207, step = 89700 (20.584 sec)\n","I0309 05:45:38.422290 139972636141440 basic_session_run_hooks.py:260] loss = 1.4939207, step = 89700 (20.584 sec)\n","INFO:tensorflow:global_step/sec: 4.88466\n","I0309 05:45:58.893351 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88466\n","INFO:tensorflow:loss = 2.9107647, step = 89800 (20.472 sec)\n","I0309 05:45:58.894568 139972636141440 basic_session_run_hooks.py:260] loss = 2.9107647, step = 89800 (20.472 sec)\n","INFO:tensorflow:global_step/sec: 4.88205\n","I0309 05:46:19.376544 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88205\n","INFO:tensorflow:loss = 1.654401, step = 89900 (20.483 sec)\n","I0309 05:46:19.377472 139972636141440 basic_session_run_hooks.py:260] loss = 1.654401, step = 89900 (20.483 sec)\n","INFO:tensorflow:global_step/sec: 4.87676\n","I0309 05:46:39.881952 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87676\n","INFO:tensorflow:loss = 2.3010273, step = 90000 (20.506 sec)\n","I0309 05:46:39.883099 139972636141440 basic_session_run_hooks.py:260] loss = 2.3010273, step = 90000 (20.506 sec)\n","INFO:tensorflow:global_step/sec: 4.83331\n","I0309 05:47:00.571730 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83331\n","INFO:tensorflow:loss = 1.8844308, step = 90100 (20.690 sec)\n","I0309 05:47:00.572875 139972636141440 basic_session_run_hooks.py:260] loss = 1.8844308, step = 90100 (20.690 sec)\n","INFO:tensorflow:global_step/sec: 4.88601\n","I0309 05:47:21.038328 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88601\n","INFO:tensorflow:loss = 2.508325, step = 90200 (20.466 sec)\n","I0309 05:47:21.039324 139972636141440 basic_session_run_hooks.py:260] loss = 2.508325, step = 90200 (20.466 sec)\n","INFO:tensorflow:global_step/sec: 4.84928\n","I0309 05:47:41.659943 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84928\n","INFO:tensorflow:loss = 2.3623908, step = 90300 (20.622 sec)\n","I0309 05:47:41.661168 139972636141440 basic_session_run_hooks.py:260] loss = 2.3623908, step = 90300 (20.622 sec)\n","INFO:tensorflow:global_step/sec: 4.83668\n","I0309 05:48:02.335332 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83668\n","INFO:tensorflow:loss = 2.007976, step = 90400 (20.675 sec)\n","I0309 05:48:02.336559 139972636141440 basic_session_run_hooks.py:260] loss = 2.007976, step = 90400 (20.675 sec)\n","INFO:tensorflow:global_step/sec: 4.82027\n","I0309 05:48:23.081033 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82027\n","INFO:tensorflow:loss = 1.9730835, step = 90500 (20.746 sec)\n","I0309 05:48:23.082177 139972636141440 basic_session_run_hooks.py:260] loss = 1.9730835, step = 90500 (20.746 sec)\n","INFO:tensorflow:global_step/sec: 4.83087\n","I0309 05:48:43.781229 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83087\n","INFO:tensorflow:loss = 1.7702621, step = 90600 (20.700 sec)\n","I0309 05:48:43.782114 139972636141440 basic_session_run_hooks.py:260] loss = 1.7702621, step = 90600 (20.700 sec)\n","INFO:tensorflow:global_step/sec: 4.85308\n","I0309 05:49:04.386684 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85308\n","INFO:tensorflow:loss = 2.4363813, step = 90700 (20.606 sec)\n","I0309 05:49:04.387615 139972636141440 basic_session_run_hooks.py:260] loss = 2.4363813, step = 90700 (20.606 sec)\n","INFO:tensorflow:global_step/sec: 4.83749\n","I0309 05:49:25.058566 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83749\n","INFO:tensorflow:loss = 2.7515104, step = 90800 (20.672 sec)\n","I0309 05:49:25.059606 139972636141440 basic_session_run_hooks.py:260] loss = 2.7515104, step = 90800 (20.672 sec)\n","INFO:tensorflow:global_step/sec: 4.86487\n","I0309 05:49:45.614130 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86487\n","INFO:tensorflow:loss = 2.4156427, step = 90900 (20.556 sec)\n","I0309 05:49:45.615270 139972636141440 basic_session_run_hooks.py:260] loss = 2.4156427, step = 90900 (20.556 sec)\n","INFO:tensorflow:global_step/sec: 4.87522\n","I0309 05:50:06.126012 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87522\n","INFO:tensorflow:loss = 1.8905534, step = 91000 (20.512 sec)\n","I0309 05:50:06.127089 139972636141440 basic_session_run_hooks.py:260] loss = 1.8905534, step = 91000 (20.512 sec)\n","INFO:tensorflow:global_step/sec: 4.88401\n","I0309 05:50:26.601000 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88401\n","INFO:tensorflow:loss = 3.1219823, step = 91100 (20.475 sec)\n","I0309 05:50:26.602135 139972636141440 basic_session_run_hooks.py:260] loss = 3.1219823, step = 91100 (20.475 sec)\n","INFO:tensorflow:global_step/sec: 4.88355\n","I0309 05:50:47.077880 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88355\n","INFO:tensorflow:loss = 1.9961734, step = 91200 (20.477 sec)\n","I0309 05:50:47.078789 139972636141440 basic_session_run_hooks.py:260] loss = 1.9961734, step = 91200 (20.477 sec)\n","INFO:tensorflow:global_step/sec: 4.86908\n","I0309 05:51:07.615637 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86908\n","INFO:tensorflow:loss = 2.3673377, step = 91300 (20.538 sec)\n","I0309 05:51:07.616568 139972636141440 basic_session_run_hooks.py:260] loss = 2.3673377, step = 91300 (20.538 sec)\n","INFO:tensorflow:global_step/sec: 4.87721\n","I0309 05:51:28.119210 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87721\n","INFO:tensorflow:loss = 3.0046854, step = 91400 (20.504 sec)\n","I0309 05:51:28.120280 139972636141440 basic_session_run_hooks.py:260] loss = 3.0046854, step = 91400 (20.504 sec)\n","INFO:tensorflow:global_step/sec: 4.86908\n","I0309 05:51:48.656943 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86908\n","INFO:tensorflow:loss = 2.1866646, step = 91500 (20.538 sec)\n","I0309 05:51:48.657946 139972636141440 basic_session_run_hooks.py:260] loss = 2.1866646, step = 91500 (20.538 sec)\n","INFO:tensorflow:global_step/sec: 4.89825\n","I0309 05:52:09.072399 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89825\n","INFO:tensorflow:loss = 2.2971537, step = 91600 (20.416 sec)\n","I0309 05:52:09.073719 139972636141440 basic_session_run_hooks.py:260] loss = 2.2971537, step = 91600 (20.416 sec)\n","INFO:tensorflow:global_step/sec: 4.87553\n","I0309 05:52:29.582997 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87553\n","INFO:tensorflow:loss = 2.6310372, step = 91700 (20.510 sec)\n","I0309 05:52:29.584018 139972636141440 basic_session_run_hooks.py:260] loss = 2.6310372, step = 91700 (20.510 sec)\n","INFO:tensorflow:Saving checkpoints for 91757 into training/model.ckpt.\n","I0309 05:52:41.181005 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 91757 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:52:42.412855 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 05:52:42.413446 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 05:52:42.413584 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d781290>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 05:52:42.450373 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d781290>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d8b4290> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 05:52:42.614695 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d8b4290> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 05:52:43.097906 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:52:45.473874 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:52:45.501706 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:52:45.529263 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:52:45.561960 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:52:45.589511 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 05:52:45.616930 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 05:52:46.890442 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T05:52:46Z\n","I0309 05:52:46.905460 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T05:52:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 05:52:47.278274 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 05:52:47.278956: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:52:47.279482: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 05:52:47.279589: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 05:52:47.279628: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 05:52:47.279659: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 05:52:47.279681: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 05:52:47.279702: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 05:52:47.279724: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 05:52:47.279745: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 05:52:47.279838: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:52:47.280329: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:52:47.280729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 05:52:47.280838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 05:52:47.280854: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 05:52:47.280863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 05:52:47.280964: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:52:47.281452: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 05:52:47.281861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-91757\n","I0309 05:52:47.283057 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-91757\n","INFO:tensorflow:Running local_init_op.\n","I0309 05:52:48.171804 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 05:52:48.302895 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 05:52:51.735482 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 05:52:51.736592 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 05:52:51.739301 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.55s).\n","Accumulating evaluation results...\n","DONE (t=0.11s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.177\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.377\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.117\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.031\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.216\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.195\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.323\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.346\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.073\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.446\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700\n","INFO:tensorflow:Finished evaluation at 2021-03-09-05:52:52\n","I0309 05:52:52.581932 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-05:52:52\n","INFO:tensorflow:Saving dict for global step 91757: DetectionBoxes_Precision/mAP = 0.17662817, DetectionBoxes_Precision/mAP (large) = 0.7, DetectionBoxes_Precision/mAP (medium) = 0.21597558, DetectionBoxes_Precision/mAP (small) = 0.031086398, DetectionBoxes_Precision/mAP@.50IOU = 0.37711892, DetectionBoxes_Precision/mAP@.75IOU = 0.11696483, DetectionBoxes_Recall/AR@1 = 0.19533132, DetectionBoxes_Recall/AR@10 = 0.32322624, DetectionBoxes_Recall/AR@100 = 0.34625167, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.44609433, DetectionBoxes_Recall/AR@100 (small) = 0.073076926, Loss/classification_loss = 8.659801, Loss/localization_loss = 1.2039256, Loss/regularization_loss = 0.37924752, Loss/total_loss = 10.242973, global_step = 91757, learning_rate = 0.004, loss = 10.242973\n","I0309 05:52:52.582185 139972636141440 estimator.py:2049] Saving dict for global step 91757: DetectionBoxes_Precision/mAP = 0.17662817, DetectionBoxes_Precision/mAP (large) = 0.7, DetectionBoxes_Precision/mAP (medium) = 0.21597558, DetectionBoxes_Precision/mAP (small) = 0.031086398, DetectionBoxes_Precision/mAP@.50IOU = 0.37711892, DetectionBoxes_Precision/mAP@.75IOU = 0.11696483, DetectionBoxes_Recall/AR@1 = 0.19533132, DetectionBoxes_Recall/AR@10 = 0.32322624, DetectionBoxes_Recall/AR@100 = 0.34625167, DetectionBoxes_Recall/AR@100 (large) = 0.7, DetectionBoxes_Recall/AR@100 (medium) = 0.44609433, DetectionBoxes_Recall/AR@100 (small) = 0.073076926, Loss/classification_loss = 8.659801, Loss/localization_loss = 1.2039256, Loss/regularization_loss = 0.37924752, Loss/total_loss = 10.242973, global_step = 91757, learning_rate = 0.004, loss = 10.242973\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 91757: training/model.ckpt-91757\n","I0309 05:52:52.585400 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 91757: training/model.ckpt-91757\n","INFO:tensorflow:global_step/sec: 3.12392\n","I0309 05:53:01.594094 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.12392\n","INFO:tensorflow:loss = 2.1675406, step = 91800 (32.011 sec)\n","I0309 05:53:01.595134 139972636141440 basic_session_run_hooks.py:260] loss = 2.1675406, step = 91800 (32.011 sec)\n","INFO:tensorflow:global_step/sec: 4.87883\n","I0309 05:53:22.090792 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87883\n","INFO:tensorflow:loss = 3.175642, step = 91900 (20.497 sec)\n","I0309 05:53:22.091766 139972636141440 basic_session_run_hooks.py:260] loss = 3.175642, step = 91900 (20.497 sec)\n","INFO:tensorflow:global_step/sec: 4.84929\n","I0309 05:53:42.712401 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84929\n","INFO:tensorflow:loss = 1.7264998, step = 92000 (20.622 sec)\n","I0309 05:53:42.713585 139972636141440 basic_session_run_hooks.py:260] loss = 1.7264998, step = 92000 (20.622 sec)\n","INFO:tensorflow:global_step/sec: 4.85746\n","I0309 05:54:03.299266 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85746\n","INFO:tensorflow:loss = 2.4318209, step = 92100 (20.587 sec)\n","I0309 05:54:03.300306 139972636141440 basic_session_run_hooks.py:260] loss = 2.4318209, step = 92100 (20.587 sec)\n","INFO:tensorflow:global_step/sec: 4.90949\n","I0309 05:54:23.667952 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90949\n","INFO:tensorflow:loss = 1.9254527, step = 92200 (20.369 sec)\n","I0309 05:54:23.669328 139972636141440 basic_session_run_hooks.py:260] loss = 1.9254527, step = 92200 (20.369 sec)\n","INFO:tensorflow:global_step/sec: 4.87449\n","I0309 05:54:44.182912 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87449\n","INFO:tensorflow:loss = 2.3121054, step = 92300 (20.515 sec)\n","I0309 05:54:44.183835 139972636141440 basic_session_run_hooks.py:260] loss = 2.3121054, step = 92300 (20.515 sec)\n","INFO:tensorflow:global_step/sec: 4.89141\n","I0309 05:55:04.626915 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89141\n","INFO:tensorflow:loss = 1.7691967, step = 92400 (20.444 sec)\n","I0309 05:55:04.628081 139972636141440 basic_session_run_hooks.py:260] loss = 1.7691967, step = 92400 (20.444 sec)\n","INFO:tensorflow:global_step/sec: 4.93127\n","I0309 05:55:24.905653 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.93127\n","INFO:tensorflow:loss = 2.6394296, step = 92500 (20.279 sec)\n","I0309 05:55:24.906603 139972636141440 basic_session_run_hooks.py:260] loss = 2.6394296, step = 92500 (20.279 sec)\n","INFO:tensorflow:global_step/sec: 4.8954\n","I0309 05:55:45.332995 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8954\n","INFO:tensorflow:loss = 2.143372, step = 92600 (20.427 sec)\n","I0309 05:55:45.333916 139972636141440 basic_session_run_hooks.py:260] loss = 2.143372, step = 92600 (20.427 sec)\n","INFO:tensorflow:global_step/sec: 4.85931\n","I0309 05:56:05.912050 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85931\n","INFO:tensorflow:loss = 1.965352, step = 92700 (20.579 sec)\n","I0309 05:56:05.913197 139972636141440 basic_session_run_hooks.py:260] loss = 1.965352, step = 92700 (20.579 sec)\n","INFO:tensorflow:global_step/sec: 4.8465\n","I0309 05:56:26.545509 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8465\n","INFO:tensorflow:loss = 1.9460487, step = 92800 (20.633 sec)\n","I0309 05:56:26.546543 139972636141440 basic_session_run_hooks.py:260] loss = 1.9460487, step = 92800 (20.633 sec)\n","INFO:tensorflow:global_step/sec: 4.89611\n","I0309 05:56:46.969886 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89611\n","INFO:tensorflow:loss = 1.795975, step = 92900 (20.424 sec)\n","I0309 05:56:46.970762 139972636141440 basic_session_run_hooks.py:260] loss = 1.795975, step = 92900 (20.424 sec)\n","INFO:tensorflow:global_step/sec: 4.88207\n","I0309 05:57:07.453004 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88207\n","INFO:tensorflow:loss = 1.7200966, step = 93000 (20.483 sec)\n","I0309 05:57:07.453912 139972636141440 basic_session_run_hooks.py:260] loss = 1.7200966, step = 93000 (20.483 sec)\n","INFO:tensorflow:global_step/sec: 4.89328\n","I0309 05:57:27.889198 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89328\n","INFO:tensorflow:loss = 2.1969488, step = 93100 (20.436 sec)\n","I0309 05:57:27.890374 139972636141440 basic_session_run_hooks.py:260] loss = 2.1969488, step = 93100 (20.436 sec)\n","INFO:tensorflow:global_step/sec: 4.83936\n","I0309 05:57:48.553142 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83936\n","INFO:tensorflow:loss = 1.5111742, step = 93200 (20.664 sec)\n","I0309 05:57:48.554142 139972636141440 basic_session_run_hooks.py:260] loss = 1.5111742, step = 93200 (20.664 sec)\n","INFO:tensorflow:global_step/sec: 4.84976\n","I0309 05:58:09.172676 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84976\n","INFO:tensorflow:loss = 1.7889352, step = 93300 (20.619 sec)\n","I0309 05:58:09.173603 139972636141440 basic_session_run_hooks.py:260] loss = 1.7889352, step = 93300 (20.619 sec)\n","INFO:tensorflow:global_step/sec: 4.85175\n","I0309 05:58:29.783822 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85175\n","INFO:tensorflow:loss = 2.2578905, step = 93400 (20.611 sec)\n","I0309 05:58:29.785050 139972636141440 basic_session_run_hooks.py:260] loss = 2.2578905, step = 93400 (20.611 sec)\n","INFO:tensorflow:global_step/sec: 4.90691\n","I0309 05:58:50.163281 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90691\n","INFO:tensorflow:loss = 1.5820997, step = 93500 (20.380 sec)\n","I0309 05:58:50.164613 139972636141440 basic_session_run_hooks.py:260] loss = 1.5820997, step = 93500 (20.380 sec)\n","INFO:tensorflow:global_step/sec: 4.84623\n","I0309 05:59:10.797846 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84623\n","INFO:tensorflow:loss = 2.4480834, step = 93600 (20.634 sec)\n","I0309 05:59:10.798686 139972636141440 basic_session_run_hooks.py:260] loss = 2.4480834, step = 93600 (20.634 sec)\n","INFO:tensorflow:global_step/sec: 4.87031\n","I0309 05:59:31.330459 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87031\n","INFO:tensorflow:loss = 2.932126, step = 93700 (20.533 sec)\n","I0309 05:59:31.331486 139972636141440 basic_session_run_hooks.py:260] loss = 2.932126, step = 93700 (20.533 sec)\n","INFO:tensorflow:global_step/sec: 4.86125\n","I0309 05:59:51.901254 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86125\n","INFO:tensorflow:loss = 2.2768507, step = 93800 (20.571 sec)\n","I0309 05:59:51.902186 139972636141440 basic_session_run_hooks.py:260] loss = 2.2768507, step = 93800 (20.571 sec)\n","INFO:tensorflow:global_step/sec: 4.85895\n","I0309 06:00:12.481819 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85895\n","INFO:tensorflow:loss = 1.3631442, step = 93900 (20.581 sec)\n","I0309 06:00:12.482910 139972636141440 basic_session_run_hooks.py:260] loss = 1.3631442, step = 93900 (20.581 sec)\n","INFO:tensorflow:global_step/sec: 4.83903\n","I0309 06:00:33.147116 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83903\n","INFO:tensorflow:loss = 1.3479837, step = 94000 (20.665 sec)\n","I0309 06:00:33.148292 139972636141440 basic_session_run_hooks.py:260] loss = 1.3479837, step = 94000 (20.665 sec)\n","INFO:tensorflow:global_step/sec: 4.86825\n","I0309 06:00:53.688446 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86825\n","INFO:tensorflow:loss = 2.8807857, step = 94100 (20.541 sec)\n","I0309 06:00:53.689463 139972636141440 basic_session_run_hooks.py:260] loss = 2.8807857, step = 94100 (20.541 sec)\n","INFO:tensorflow:global_step/sec: 4.87468\n","I0309 06:01:14.202519 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87468\n","INFO:tensorflow:loss = 2.1927276, step = 94200 (20.514 sec)\n","I0309 06:01:14.203453 139972636141440 basic_session_run_hooks.py:260] loss = 2.1927276, step = 94200 (20.514 sec)\n","INFO:tensorflow:global_step/sec: 4.84015\n","I0309 06:01:34.863113 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84015\n","INFO:tensorflow:loss = 2.0281248, step = 94300 (20.661 sec)\n","I0309 06:01:34.864292 139972636141440 basic_session_run_hooks.py:260] loss = 2.0281248, step = 94300 (20.661 sec)\n","INFO:tensorflow:global_step/sec: 4.888\n","I0309 06:01:55.321381 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.888\n","INFO:tensorflow:loss = 2.4337645, step = 94400 (20.458 sec)\n","I0309 06:01:55.322562 139972636141440 basic_session_run_hooks.py:260] loss = 2.4337645, step = 94400 (20.458 sec)\n","INFO:tensorflow:global_step/sec: 4.85943\n","I0309 06:02:15.899906 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85943\n","INFO:tensorflow:loss = 2.4132185, step = 94500 (20.578 sec)\n","I0309 06:02:15.900853 139972636141440 basic_session_run_hooks.py:260] loss = 2.4132185, step = 94500 (20.578 sec)\n","INFO:tensorflow:global_step/sec: 4.85944\n","I0309 06:02:36.478416 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85944\n","INFO:tensorflow:loss = 2.3137343, step = 94600 (20.579 sec)\n","I0309 06:02:36.479874 139972636141440 basic_session_run_hooks.py:260] loss = 2.3137343, step = 94600 (20.579 sec)\n","INFO:tensorflow:Saving checkpoints for 94624 into training/model.ckpt.\n","I0309 06:02:41.232651 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 94624 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 06:02:42.539783 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 06:02:42.540345 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 06:02:42.540492 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4de534bdd0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 06:02:42.578235 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4de534bdd0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de5242d40> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 06:02:42.735491 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de5242d40> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 06:02:43.225917 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:02:45.234119 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:02:45.267835 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:02:45.294982 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:02:45.323166 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:02:45.350290 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:02:45.378819 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 06:02:46.966499 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T06:02:46Z\n","I0309 06:02:46.983735 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T06:02:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 06:02:47.375709 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 06:02:47.376363: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:02:47.376853: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 06:02:47.376953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 06:02:47.376982: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 06:02:47.377007: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 06:02:47.377031: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 06:02:47.377059: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 06:02:47.377102: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 06:02:47.377128: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 06:02:47.377236: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:02:47.377711: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:02:47.378143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 06:02:47.378191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 06:02:47.378205: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 06:02:47.378225: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 06:02:47.378336: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:02:47.378801: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:02:47.379283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-94624\n","I0309 06:02:47.380204 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-94624\n","INFO:tensorflow:Running local_init_op.\n","I0309 06:02:48.261797 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 06:02:48.401614 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 06:02:51.872143 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 06:02:51.872770 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 06:02:51.877494 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.54s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.181\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.392\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.109\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.021\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.221\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.681\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.181\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.292\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.322\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.072\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.401\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.733\n","INFO:tensorflow:Finished evaluation at 2021-03-09-06:02:52\n","I0309 06:02:52.750226 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-06:02:52\n","INFO:tensorflow:Saving dict for global step 94624: DetectionBoxes_Precision/mAP = 0.18077931, DetectionBoxes_Precision/mAP (large) = 0.6808581, DetectionBoxes_Precision/mAP (medium) = 0.22071834, DetectionBoxes_Precision/mAP (small) = 0.021288957, DetectionBoxes_Precision/mAP@.50IOU = 0.3924793, DetectionBoxes_Precision/mAP@.75IOU = 0.108813785, DetectionBoxes_Recall/AR@1 = 0.18070616, DetectionBoxes_Recall/AR@10 = 0.29235274, DetectionBoxes_Recall/AR@100 = 0.3224063, DetectionBoxes_Recall/AR@100 (large) = 0.73333335, DetectionBoxes_Recall/AR@100 (medium) = 0.4008106, DetectionBoxes_Recall/AR@100 (small) = 0.072222225, Loss/classification_loss = 9.871886, Loss/localization_loss = 1.2129138, Loss/regularization_loss = 0.3799993, Loss/total_loss = 11.464801, global_step = 94624, learning_rate = 0.004, loss = 11.464801\n","I0309 06:02:52.750509 139972636141440 estimator.py:2049] Saving dict for global step 94624: DetectionBoxes_Precision/mAP = 0.18077931, DetectionBoxes_Precision/mAP (large) = 0.6808581, DetectionBoxes_Precision/mAP (medium) = 0.22071834, DetectionBoxes_Precision/mAP (small) = 0.021288957, DetectionBoxes_Precision/mAP@.50IOU = 0.3924793, DetectionBoxes_Precision/mAP@.75IOU = 0.108813785, DetectionBoxes_Recall/AR@1 = 0.18070616, DetectionBoxes_Recall/AR@10 = 0.29235274, DetectionBoxes_Recall/AR@100 = 0.3224063, DetectionBoxes_Recall/AR@100 (large) = 0.73333335, DetectionBoxes_Recall/AR@100 (medium) = 0.4008106, DetectionBoxes_Recall/AR@100 (small) = 0.072222225, Loss/classification_loss = 9.871886, Loss/localization_loss = 1.2129138, Loss/regularization_loss = 0.3799993, Loss/total_loss = 11.464801, global_step = 94624, learning_rate = 0.004, loss = 11.464801\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 94624: training/model.ckpt-94624\n","I0309 06:02:52.754185 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 94624: training/model.ckpt-94624\n","INFO:tensorflow:global_step/sec: 3.11261\n","I0309 06:03:08.605741 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.11261\n","INFO:tensorflow:loss = 1.3563147, step = 94700 (32.127 sec)\n","I0309 06:03:08.606619 139972636141440 basic_session_run_hooks.py:260] loss = 1.3563147, step = 94700 (32.127 sec)\n","INFO:tensorflow:global_step/sec: 4.8108\n","I0309 06:03:29.392355 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8108\n","INFO:tensorflow:loss = 2.2560022, step = 94800 (20.787 sec)\n","I0309 06:03:29.393185 139972636141440 basic_session_run_hooks.py:260] loss = 2.2560022, step = 94800 (20.787 sec)\n","INFO:tensorflow:global_step/sec: 4.85814\n","I0309 06:03:49.976347 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85814\n","INFO:tensorflow:loss = 2.5214822, step = 94900 (20.584 sec)\n","I0309 06:03:49.977372 139972636141440 basic_session_run_hooks.py:260] loss = 2.5214822, step = 94900 (20.584 sec)\n","INFO:tensorflow:global_step/sec: 4.87118\n","I0309 06:04:10.505229 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87118\n","INFO:tensorflow:loss = 2.1290715, step = 95000 (20.529 sec)\n","I0309 06:04:10.506144 139972636141440 basic_session_run_hooks.py:260] loss = 2.1290715, step = 95000 (20.529 sec)\n","INFO:tensorflow:global_step/sec: 4.84967\n","I0309 06:04:31.125194 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84967\n","INFO:tensorflow:loss = 2.6702332, step = 95100 (20.620 sec)\n","I0309 06:04:31.126337 139972636141440 basic_session_run_hooks.py:260] loss = 2.6702332, step = 95100 (20.620 sec)\n","INFO:tensorflow:global_step/sec: 4.86721\n","I0309 06:04:51.670850 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86721\n","INFO:tensorflow:loss = 2.0525303, step = 95200 (20.546 sec)\n","I0309 06:04:51.672074 139972636141440 basic_session_run_hooks.py:260] loss = 2.0525303, step = 95200 (20.546 sec)\n","INFO:tensorflow:global_step/sec: 4.83874\n","I0309 06:05:12.337403 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.83874\n","INFO:tensorflow:loss = 1.5707841, step = 95300 (20.666 sec)\n","I0309 06:05:12.338553 139972636141440 basic_session_run_hooks.py:260] loss = 1.5707841, step = 95300 (20.666 sec)\n","INFO:tensorflow:global_step/sec: 4.86782\n","I0309 06:05:32.880475 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86782\n","INFO:tensorflow:loss = 1.7408125, step = 95400 (20.543 sec)\n","I0309 06:05:32.881428 139972636141440 basic_session_run_hooks.py:260] loss = 1.7408125, step = 95400 (20.543 sec)\n","INFO:tensorflow:global_step/sec: 4.84812\n","I0309 06:05:53.507005 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84812\n","INFO:tensorflow:loss = 2.7860067, step = 95500 (20.627 sec)\n","I0309 06:05:53.508160 139972636141440 basic_session_run_hooks.py:260] loss = 2.7860067, step = 95500 (20.627 sec)\n","INFO:tensorflow:global_step/sec: 4.85327\n","I0309 06:06:14.111673 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85327\n","INFO:tensorflow:loss = 2.766458, step = 95600 (20.604 sec)\n","I0309 06:06:14.112622 139972636141440 basic_session_run_hooks.py:260] loss = 2.766458, step = 95600 (20.604 sec)\n","INFO:tensorflow:global_step/sec: 4.89334\n","I0309 06:06:34.547618 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89334\n","INFO:tensorflow:loss = 2.4095752, step = 95700 (20.436 sec)\n","I0309 06:06:34.548570 139972636141440 basic_session_run_hooks.py:260] loss = 2.4095752, step = 95700 (20.436 sec)\n","INFO:tensorflow:global_step/sec: 4.87398\n","I0309 06:06:55.064732 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87398\n","INFO:tensorflow:loss = 1.7128365, step = 95800 (20.517 sec)\n","I0309 06:06:55.065721 139972636141440 basic_session_run_hooks.py:260] loss = 1.7128365, step = 95800 (20.517 sec)\n","INFO:tensorflow:global_step/sec: 4.88154\n","I0309 06:07:15.550068 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88154\n","INFO:tensorflow:loss = 1.2699573, step = 95900 (20.485 sec)\n","I0309 06:07:15.551163 139972636141440 basic_session_run_hooks.py:260] loss = 1.2699573, step = 95900 (20.485 sec)\n","INFO:tensorflow:global_step/sec: 4.87651\n","I0309 06:07:36.056509 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87651\n","INFO:tensorflow:loss = 2.4348073, step = 96000 (20.506 sec)\n","I0309 06:07:36.057458 139972636141440 basic_session_run_hooks.py:260] loss = 2.4348073, step = 96000 (20.506 sec)\n","INFO:tensorflow:global_step/sec: 4.86588\n","I0309 06:07:56.607774 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86588\n","INFO:tensorflow:loss = 1.719467, step = 96100 (20.551 sec)\n","I0309 06:07:56.608802 139972636141440 basic_session_run_hooks.py:260] loss = 1.719467, step = 96100 (20.551 sec)\n","INFO:tensorflow:global_step/sec: 4.88665\n","I0309 06:08:17.071708 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88665\n","INFO:tensorflow:loss = 1.9931582, step = 96200 (20.464 sec)\n","I0309 06:08:17.072765 139972636141440 basic_session_run_hooks.py:260] loss = 1.9931582, step = 96200 (20.464 sec)\n","INFO:tensorflow:global_step/sec: 4.86279\n","I0309 06:08:37.636048 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86279\n","INFO:tensorflow:loss = 2.9478137, step = 96300 (20.564 sec)\n","I0309 06:08:37.637060 139972636141440 basic_session_run_hooks.py:260] loss = 2.9478137, step = 96300 (20.564 sec)\n","INFO:tensorflow:global_step/sec: 4.86285\n","I0309 06:08:58.200115 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86285\n","INFO:tensorflow:loss = 2.4513302, step = 96400 (20.564 sec)\n","I0309 06:08:58.201292 139972636141440 basic_session_run_hooks.py:260] loss = 2.4513302, step = 96400 (20.564 sec)\n","INFO:tensorflow:global_step/sec: 4.86168\n","I0309 06:09:18.769108 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86168\n","INFO:tensorflow:loss = 1.7014743, step = 96500 (20.569 sec)\n","I0309 06:09:18.770560 139972636141440 basic_session_run_hooks.py:260] loss = 1.7014743, step = 96500 (20.569 sec)\n","INFO:tensorflow:global_step/sec: 4.85615\n","I0309 06:09:39.361564 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85615\n","INFO:tensorflow:loss = 2.5694623, step = 96600 (20.592 sec)\n","I0309 06:09:39.362623 139972636141440 basic_session_run_hooks.py:260] loss = 2.5694623, step = 96600 (20.592 sec)\n","INFO:tensorflow:global_step/sec: 4.88289\n","I0309 06:09:59.841261 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88289\n","INFO:tensorflow:loss = 1.9952458, step = 96700 (20.480 sec)\n","I0309 06:09:59.842282 139972636141440 basic_session_run_hooks.py:260] loss = 1.9952458, step = 96700 (20.480 sec)\n","INFO:tensorflow:global_step/sec: 4.86127\n","I0309 06:10:20.411996 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86127\n","INFO:tensorflow:loss = 2.1843746, step = 96800 (20.571 sec)\n","I0309 06:10:20.413112 139972636141440 basic_session_run_hooks.py:260] loss = 2.1843746, step = 96800 (20.571 sec)\n","INFO:tensorflow:global_step/sec: 4.86101\n","I0309 06:10:40.983832 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86101\n","INFO:tensorflow:loss = 1.4969933, step = 96900 (20.572 sec)\n","I0309 06:10:40.984980 139972636141440 basic_session_run_hooks.py:260] loss = 1.4969933, step = 96900 (20.572 sec)\n","INFO:tensorflow:global_step/sec: 4.86627\n","I0309 06:11:01.533439 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86627\n","INFO:tensorflow:loss = 2.5054145, step = 97000 (20.550 sec)\n","I0309 06:11:01.534583 139972636141440 basic_session_run_hooks.py:260] loss = 2.5054145, step = 97000 (20.550 sec)\n","INFO:tensorflow:global_step/sec: 4.88604\n","I0309 06:11:21.999919 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88604\n","INFO:tensorflow:loss = 2.1955943, step = 97100 (20.466 sec)\n","I0309 06:11:22.001007 139972636141440 basic_session_run_hooks.py:260] loss = 2.1955943, step = 97100 (20.466 sec)\n","INFO:tensorflow:global_step/sec: 4.89598\n","I0309 06:11:42.424823 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89598\n","INFO:tensorflow:loss = 1.4760259, step = 97200 (20.425 sec)\n","I0309 06:11:42.425892 139972636141440 basic_session_run_hooks.py:260] loss = 1.4760259, step = 97200 (20.425 sec)\n","INFO:tensorflow:global_step/sec: 4.84435\n","I0309 06:12:03.067430 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84435\n","INFO:tensorflow:loss = 2.9472373, step = 97300 (20.642 sec)\n","I0309 06:12:03.068391 139972636141440 basic_session_run_hooks.py:260] loss = 2.9472373, step = 97300 (20.642 sec)\n","INFO:tensorflow:global_step/sec: 4.87812\n","I0309 06:12:23.567134 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87812\n","INFO:tensorflow:loss = 1.5379908, step = 97400 (20.500 sec)\n","I0309 06:12:23.568209 139972636141440 basic_session_run_hooks.py:260] loss = 1.5379908, step = 97400 (20.500 sec)\n","INFO:tensorflow:Saving checkpoints for 97488 into training/model.ckpt.\n","I0309 06:12:41.390886 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 97488 into training/model.ckpt.\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 06:12:42.646267 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 06:12:42.646851 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 06:12:42.646992 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3dc53590>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 06:12:42.684787 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3dc53590>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de52428c0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 06:12:42.846267 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4de52428c0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 06:12:43.343964 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:12:45.257854 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:12:45.285881 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:12:45.318688 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:12:45.346620 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:12:45.373918 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:12:45.402264 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 06:12:46.705659 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T06:12:46Z\n","I0309 06:12:46.720854 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T06:12:46Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 06:12:47.108776 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 06:12:47.109458: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:12:47.109957: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 06:12:47.110068: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 06:12:47.110106: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 06:12:47.110139: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 06:12:47.110165: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 06:12:47.110187: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 06:12:47.110225: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 06:12:47.110261: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 06:12:47.110358: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:12:47.110834: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:12:47.111240: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 06:12:47.111345: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 06:12:47.111359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 06:12:47.111372: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 06:12:47.111476: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:12:47.111938: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:12:47.112401: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-97488\n","I0309 06:12:47.113341 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-97488\n","INFO:tensorflow:Running local_init_op.\n","I0309 06:12:47.988446 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 06:12:48.117153 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 06:12:51.568300 139970118952704 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 06:12:51.568861 139970118952704 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 06:12:51.573354 139970118952704 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.56s).\n","Accumulating evaluation results...\n","DONE (t=0.11s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.199\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.421\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.165\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.031\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.251\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.661\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.223\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.352\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.374\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.133\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.462\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.667\n","INFO:tensorflow:Finished evaluation at 2021-03-09-06:12:52\n","I0309 06:12:52.437747 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-06:12:52\n","INFO:tensorflow:Saving dict for global step 97488: DetectionBoxes_Precision/mAP = 0.1994451, DetectionBoxes_Precision/mAP (large) = 0.6607261, DetectionBoxes_Precision/mAP (medium) = 0.25100887, DetectionBoxes_Precision/mAP (small) = 0.030785086, DetectionBoxes_Precision/mAP@.50IOU = 0.42138964, DetectionBoxes_Precision/mAP@.75IOU = 0.16497763, DetectionBoxes_Recall/AR@1 = 0.22349398, DetectionBoxes_Recall/AR@10 = 0.35162315, DetectionBoxes_Recall/AR@100 = 0.37418005, DetectionBoxes_Recall/AR@100 (large) = 0.6666667, DetectionBoxes_Recall/AR@100 (medium) = 0.46230656, DetectionBoxes_Recall/AR@100 (small) = 0.1326923, Loss/classification_loss = 8.670478, Loss/localization_loss = 1.1600344, Loss/regularization_loss = 0.38080537, Loss/total_loss = 10.211319, global_step = 97488, learning_rate = 0.004, loss = 10.211319\n","I0309 06:12:52.438063 139972636141440 estimator.py:2049] Saving dict for global step 97488: DetectionBoxes_Precision/mAP = 0.1994451, DetectionBoxes_Precision/mAP (large) = 0.6607261, DetectionBoxes_Precision/mAP (medium) = 0.25100887, DetectionBoxes_Precision/mAP (small) = 0.030785086, DetectionBoxes_Precision/mAP@.50IOU = 0.42138964, DetectionBoxes_Precision/mAP@.75IOU = 0.16497763, DetectionBoxes_Recall/AR@1 = 0.22349398, DetectionBoxes_Recall/AR@10 = 0.35162315, DetectionBoxes_Recall/AR@100 = 0.37418005, DetectionBoxes_Recall/AR@100 (large) = 0.6666667, DetectionBoxes_Recall/AR@100 (medium) = 0.46230656, DetectionBoxes_Recall/AR@100 (small) = 0.1326923, Loss/classification_loss = 8.670478, Loss/localization_loss = 1.1600344, Loss/regularization_loss = 0.38080537, Loss/total_loss = 10.211319, global_step = 97488, learning_rate = 0.004, loss = 10.211319\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 97488: training/model.ckpt-97488\n","I0309 06:12:52.442314 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 97488: training/model.ckpt-97488\n","INFO:tensorflow:global_step/sec: 3.16145\n","I0309 06:12:55.198269 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 3.16145\n","INFO:tensorflow:loss = 2.2553527, step = 97500 (31.631 sec)\n","I0309 06:12:55.199406 139972636141440 basic_session_run_hooks.py:260] loss = 2.2553527, step = 97500 (31.631 sec)\n","INFO:tensorflow:global_step/sec: 4.86527\n","I0309 06:13:15.752024 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86527\n","INFO:tensorflow:loss = 1.9028648, step = 97600 (20.554 sec)\n","I0309 06:13:15.753262 139972636141440 basic_session_run_hooks.py:260] loss = 1.9028648, step = 97600 (20.554 sec)\n","INFO:tensorflow:global_step/sec: 4.8494\n","I0309 06:13:36.373146 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8494\n","INFO:tensorflow:loss = 2.0707974, step = 97700 (20.621 sec)\n","I0309 06:13:36.374416 139972636141440 basic_session_run_hooks.py:260] loss = 2.0707974, step = 97700 (20.621 sec)\n","INFO:tensorflow:global_step/sec: 4.88555\n","I0309 06:13:56.841690 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88555\n","INFO:tensorflow:loss = 2.6584556, step = 97800 (20.468 sec)\n","I0309 06:13:56.842756 139972636141440 basic_session_run_hooks.py:260] loss = 2.6584556, step = 97800 (20.468 sec)\n","INFO:tensorflow:global_step/sec: 4.85771\n","I0309 06:14:17.427536 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85771\n","INFO:tensorflow:loss = 1.6908839, step = 97900 (20.586 sec)\n","I0309 06:14:17.428472 139972636141440 basic_session_run_hooks.py:260] loss = 1.6908839, step = 97900 (20.586 sec)\n","INFO:tensorflow:global_step/sec: 4.88024\n","I0309 06:14:37.918342 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.88024\n","INFO:tensorflow:loss = 1.962664, step = 98000 (20.491 sec)\n","I0309 06:14:37.919283 139972636141440 basic_session_run_hooks.py:260] loss = 1.962664, step = 98000 (20.491 sec)\n","INFO:tensorflow:global_step/sec: 4.90447\n","I0309 06:14:58.307898 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.90447\n","INFO:tensorflow:loss = 3.2186172, step = 98100 (20.390 sec)\n","I0309 06:14:58.309031 139972636141440 basic_session_run_hooks.py:260] loss = 3.2186172, step = 98100 (20.390 sec)\n","INFO:tensorflow:global_step/sec: 4.85238\n","I0309 06:15:18.916369 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85238\n","INFO:tensorflow:loss = 2.4125981, step = 98200 (20.608 sec)\n","I0309 06:15:18.917500 139972636141440 basic_session_run_hooks.py:260] loss = 2.4125981, step = 98200 (20.608 sec)\n","INFO:tensorflow:global_step/sec: 4.8665\n","I0309 06:15:39.465023 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8665\n","INFO:tensorflow:loss = 1.6046599, step = 98300 (20.549 sec)\n","I0309 06:15:39.466008 139972636141440 basic_session_run_hooks.py:260] loss = 1.6046599, step = 98300 (20.549 sec)\n","INFO:tensorflow:global_step/sec: 4.86589\n","I0309 06:16:00.016252 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86589\n","INFO:tensorflow:loss = 1.8131258, step = 98400 (20.551 sec)\n","I0309 06:16:00.017271 139972636141440 basic_session_run_hooks.py:260] loss = 1.8131258, step = 98400 (20.551 sec)\n","INFO:tensorflow:global_step/sec: 4.84124\n","I0309 06:16:20.672126 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84124\n","INFO:tensorflow:loss = 1.847276, step = 98500 (20.656 sec)\n","I0309 06:16:20.673126 139972636141440 basic_session_run_hooks.py:260] loss = 1.847276, step = 98500 (20.656 sec)\n","INFO:tensorflow:global_step/sec: 4.82375\n","I0309 06:16:41.402893 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82375\n","INFO:tensorflow:loss = 2.6280088, step = 98600 (20.731 sec)\n","I0309 06:16:41.404044 139972636141440 basic_session_run_hooks.py:260] loss = 2.6280088, step = 98600 (20.731 sec)\n","INFO:tensorflow:global_step/sec: 4.86581\n","I0309 06:17:01.954485 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86581\n","INFO:tensorflow:loss = 2.9605968, step = 98700 (20.552 sec)\n","I0309 06:17:01.955620 139972636141440 basic_session_run_hooks.py:260] loss = 2.9605968, step = 98700 (20.552 sec)\n","INFO:tensorflow:global_step/sec: 4.8466\n","I0309 06:17:22.587472 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8466\n","INFO:tensorflow:loss = 1.6396863, step = 98800 (20.633 sec)\n","I0309 06:17:22.588459 139972636141440 basic_session_run_hooks.py:260] loss = 1.6396863, step = 98800 (20.633 sec)\n","INFO:tensorflow:global_step/sec: 4.89859\n","I0309 06:17:43.001532 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.89859\n","INFO:tensorflow:loss = 1.4388001, step = 98900 (20.414 sec)\n","I0309 06:17:43.002515 139972636141440 basic_session_run_hooks.py:260] loss = 1.4388001, step = 98900 (20.414 sec)\n","INFO:tensorflow:global_step/sec: 4.85921\n","I0309 06:18:03.581016 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85921\n","INFO:tensorflow:loss = 1.9030331, step = 99000 (20.580 sec)\n","I0309 06:18:03.582032 139972636141440 basic_session_run_hooks.py:260] loss = 1.9030331, step = 99000 (20.580 sec)\n","INFO:tensorflow:global_step/sec: 4.8404\n","I0309 06:18:24.240451 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.8404\n","INFO:tensorflow:loss = 2.7948222, step = 99100 (20.659 sec)\n","I0309 06:18:24.241487 139972636141440 basic_session_run_hooks.py:260] loss = 2.7948222, step = 99100 (20.659 sec)\n","INFO:tensorflow:global_step/sec: 4.87634\n","I0309 06:18:44.747661 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.87634\n","INFO:tensorflow:loss = 1.9612801, step = 99200 (20.507 sec)\n","I0309 06:18:44.748631 139972636141440 basic_session_run_hooks.py:260] loss = 1.9612801, step = 99200 (20.507 sec)\n","INFO:tensorflow:global_step/sec: 4.84573\n","I0309 06:19:05.384376 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84573\n","INFO:tensorflow:loss = 1.986135, step = 99300 (20.637 sec)\n","I0309 06:19:05.385572 139972636141440 basic_session_run_hooks.py:260] loss = 1.986135, step = 99300 (20.637 sec)\n","INFO:tensorflow:global_step/sec: 4.85018\n","I0309 06:19:26.002142 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85018\n","INFO:tensorflow:loss = 1.9813287, step = 99400 (20.618 sec)\n","I0309 06:19:26.003360 139972636141440 basic_session_run_hooks.py:260] loss = 1.9813287, step = 99400 (20.618 sec)\n","INFO:tensorflow:global_step/sec: 4.86189\n","I0309 06:19:46.570271 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86189\n","INFO:tensorflow:loss = 2.7968295, step = 99500 (20.568 sec)\n","I0309 06:19:46.571364 139972636141440 basic_session_run_hooks.py:260] loss = 2.7968295, step = 99500 (20.568 sec)\n","INFO:tensorflow:global_step/sec: 4.85687\n","I0309 06:20:07.159733 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.85687\n","INFO:tensorflow:loss = 2.184273, step = 99600 (20.589 sec)\n","I0309 06:20:07.160711 139972636141440 basic_session_run_hooks.py:260] loss = 2.184273, step = 99600 (20.589 sec)\n","INFO:tensorflow:global_step/sec: 4.82864\n","I0309 06:20:27.869426 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.82864\n","INFO:tensorflow:loss = 2.1545482, step = 99700 (20.710 sec)\n","I0309 06:20:27.870382 139972636141440 basic_session_run_hooks.py:260] loss = 2.1545482, step = 99700 (20.710 sec)\n","INFO:tensorflow:global_step/sec: 4.84062\n","I0309 06:20:48.527958 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.84062\n","INFO:tensorflow:loss = 1.8789016, step = 99800 (20.659 sec)\n","I0309 06:20:48.528952 139972636141440 basic_session_run_hooks.py:260] loss = 1.8789016, step = 99800 (20.659 sec)\n","INFO:tensorflow:global_step/sec: 4.86584\n","I0309 06:21:09.079371 139972636141440 basic_session_run_hooks.py:692] global_step/sec: 4.86584\n","INFO:tensorflow:loss = 2.2309434, step = 99900 (20.551 sec)\n","I0309 06:21:09.080399 139972636141440 basic_session_run_hooks.py:260] loss = 2.2309434, step = 99900 (20.551 sec)\n","INFO:tensorflow:Saving checkpoints for 100000 into training/model.ckpt.\n","I0309 06:21:29.482812 139972636141440 basic_session_run_hooks.py:606] Saving checkpoints for 100000 into training/model.ckpt.\n","INFO:tensorflow:Skip the current checkpoint eval due to throttle secs (600 secs).\n","I0309 06:21:30.693797 139972636141440 training.py:527] Skip the current checkpoint eval due to throttle secs (600 secs).\n","INFO:tensorflow:Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 06:21:30.712583 139972636141440 dataset_builder.py:163] Reading unweighted datasets: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","I0309 06:21:30.713185 139972636141440 dataset_builder.py:80] Reading record datasets for input file: ['/content/tensorflow-object-detection-faster-rcnn/data/test/with-helmet.tfrecord']\n","INFO:tensorflow:Number of filenames to read: 1\n","I0309 06:21:30.713325 139972636141440 dataset_builder.py:81] Number of filenames to read: 1\n","WARNING:tensorflow:Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d6846d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","W0309 06:21:30.750421 139972636141440 ag_logging.py:146] Entity <bound method TfExampleDecoder.decode of <object_detection.data_decoders.tf_example_decoder.TfExampleDecoder object at 0x7f4d3d6846d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n","WARNING:tensorflow:Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d907830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","W0309 06:21:30.924495 139972636141440 ag_logging.py:146] Entity <function eval_input.<locals>.transform_and_pad_input_data_fn at 0x7f4d3d907830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n","INFO:tensorflow:Calling model_fn.\n","I0309 06:21:31.419229 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:33.739326 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:33.767594 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:33.794924 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:33.824071 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:33.851207 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:33.878604 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 06:21:35.174816 139972636141440 estimator.py:1150] Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2021-03-09T06:21:35Z\n","I0309 06:21:35.189389 139972636141440 evaluation.py:255] Starting evaluation at 2021-03-09T06:21:35Z\n","INFO:tensorflow:Graph was finalized.\n","I0309 06:21:35.569904 139972636141440 monitored_session.py:240] Graph was finalized.\n","2021-03-09 06:21:35.570545: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:35.571024: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 06:21:35.571130: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 06:21:35.571164: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 06:21:35.571190: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 06:21:35.571232: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 06:21:35.571257: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 06:21:35.571280: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 06:21:35.571301: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 06:21:35.571393: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:35.571854: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:35.572265: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 06:21:35.572310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 06:21:35.572324: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 06:21:35.572334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 06:21:35.572439: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:35.572892: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:35.573316: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-100000\n","I0309 06:21:35.574318 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-100000\n","INFO:tensorflow:Running local_init_op.\n","I0309 06:21:36.449523 139972636141440 session_manager.py:500] Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","I0309 06:21:36.573494 139972636141440 session_manager.py:502] Done running local_init_op.\n","INFO:tensorflow:Performing evaluation on 63 images.\n","I0309 06:21:40.063169 139970110560000 coco_evaluation.py:293] Performing evaluation on 63 images.\n","creating index...\n","index created!\n","INFO:tensorflow:Loading and preparing annotation results...\n","I0309 06:21:40.064008 139970110560000 coco_tools.py:116] Loading and preparing annotation results...\n","INFO:tensorflow:DONE (t=0.00s)\n","I0309 06:21:40.068303 139970110560000 coco_tools.py:138] DONE (t=0.00s)\n","creating index...\n","index created!\n","Running per image evaluation...\n","Evaluate annotation type *bbox*\n","DONE (t=0.54s).\n","Accumulating evaluation results...\n","DONE (t=0.10s).\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.174\n"," Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.381\n"," Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.135\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.041\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.205\n"," Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.684\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.186\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.306\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.317\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.088\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.385\n"," Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.717\n","INFO:tensorflow:Finished evaluation at 2021-03-09-06:21:40\n","I0309 06:21:40.910321 139972636141440 evaluation.py:275] Finished evaluation at 2021-03-09-06:21:40\n","INFO:tensorflow:Saving dict for global step 100000: DetectionBoxes_Precision/mAP = 0.173527, DetectionBoxes_Precision/mAP (large) = 0.6841113, DetectionBoxes_Precision/mAP (medium) = 0.20520537, DetectionBoxes_Precision/mAP (small) = 0.041144066, DetectionBoxes_Precision/mAP@.50IOU = 0.38109106, DetectionBoxes_Precision/mAP@.75IOU = 0.13485277, DetectionBoxes_Recall/AR@1 = 0.18626171, DetectionBoxes_Recall/AR@10 = 0.30587348, DetectionBoxes_Recall/AR@100 = 0.31721887, DetectionBoxes_Recall/AR@100 (large) = 0.71666664, DetectionBoxes_Recall/AR@100 (medium) = 0.38522476, DetectionBoxes_Recall/AR@100 (small) = 0.08760684, Loss/classification_loss = 10.291418, Loss/localization_loss = 1.2518511, Loss/regularization_loss = 0.38145244, Loss/total_loss = 11.924722, global_step = 100000, learning_rate = 0.004, loss = 11.924722\n","I0309 06:21:40.910595 139972636141440 estimator.py:2049] Saving dict for global step 100000: DetectionBoxes_Precision/mAP = 0.173527, DetectionBoxes_Precision/mAP (large) = 0.6841113, DetectionBoxes_Precision/mAP (medium) = 0.20520537, DetectionBoxes_Precision/mAP (small) = 0.041144066, DetectionBoxes_Precision/mAP@.50IOU = 0.38109106, DetectionBoxes_Precision/mAP@.75IOU = 0.13485277, DetectionBoxes_Recall/AR@1 = 0.18626171, DetectionBoxes_Recall/AR@10 = 0.30587348, DetectionBoxes_Recall/AR@100 = 0.31721887, DetectionBoxes_Recall/AR@100 (large) = 0.71666664, DetectionBoxes_Recall/AR@100 (medium) = 0.38522476, DetectionBoxes_Recall/AR@100 (small) = 0.08760684, Loss/classification_loss = 10.291418, Loss/localization_loss = 1.2518511, Loss/regularization_loss = 0.38145244, Loss/total_loss = 11.924722, global_step = 100000, learning_rate = 0.004, loss = 11.924722\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 100000: training/model.ckpt-100000\n","I0309 06:21:40.913887 139972636141440 estimator.py:2109] Saving 'checkpoint_path' summary for global step 100000: training/model.ckpt-100000\n","INFO:tensorflow:Performing the final export in the end of training.\n","I0309 06:21:40.914574 139972636141440 exporter.py:410] Performing the final export in the end of training.\n","INFO:tensorflow:Calling model_fn.\n","I0309 06:21:41.168112 139972636141440 estimator.py:1148] Calling model_fn.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:43.072790 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:43.101156 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:43.127817 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:43.154405 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:43.181775 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 06:21:43.208333 139972636141440 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:Done calling model_fn.\n","I0309 06:21:43.827417 139972636141440 estimator.py:1150] Done calling model_fn.\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/saved_model/signature_def_utils_impl.py:201: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n","W0309 06:21:43.827689 139972636141440 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/saved_model/signature_def_utils_impl.py:201: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n","INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n","I0309 06:21:43.828278 139972636141440 export_utils.py:170] Signatures INCLUDED in export for Classify: None\n","INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n","I0309 06:21:43.828405 139972636141440 export_utils.py:170] Signatures INCLUDED in export for Regress: None\n","INFO:tensorflow:Signatures INCLUDED in export for Predict: ['tensorflow/serving/predict', 'serving_default']\n","I0309 06:21:43.828490 139972636141440 export_utils.py:170] Signatures INCLUDED in export for Predict: ['tensorflow/serving/predict', 'serving_default']\n","INFO:tensorflow:Signatures INCLUDED in export for Train: None\n","I0309 06:21:43.828562 139972636141440 export_utils.py:170] Signatures INCLUDED in export for Train: None\n","INFO:tensorflow:Signatures INCLUDED in export for Eval: None\n","I0309 06:21:43.828630 139972636141440 export_utils.py:170] Signatures INCLUDED in export for Eval: None\n","2021-03-09 06:21:43.829141: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:43.829648: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 06:21:43.829738: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 06:21:43.829765: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 06:21:43.829790: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 06:21:43.829816: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 06:21:43.829838: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 06:21:43.829859: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 06:21:43.829881: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 06:21:43.829973: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:43.830465: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:43.830861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 06:21:43.830902: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 06:21:43.830915: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 06:21:43.830925: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 06:21:43.831026: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:43.831495: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 06:21:43.831901: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14257 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-100000\n","I0309 06:21:43.834204 139972636141440 saver.py:1284] Restoring parameters from training/model.ckpt-100000\n","INFO:tensorflow:Assets added to graph.\n","I0309 06:21:44.247775 139972636141440 builder_impl.py:665] Assets added to graph.\n","INFO:tensorflow:No assets to write.\n","I0309 06:21:44.247985 139972636141440 builder_impl.py:460] No assets to write.\n","INFO:tensorflow:SavedModel written to: training/export/Servo/temp-b'1615270900'/saved_model.pb\n","I0309 06:21:45.223577 139972636141440 builder_impl.py:425] SavedModel written to: training/export/Servo/temp-b'1615270900'/saved_model.pb\n","INFO:tensorflow:Loss for final step: 3.2977648.\n","I0309 06:21:45.533433 139972636141440 estimator.py:371] Loss for final step: 3.2977648.\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"KP-tUdtnRybs","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615270887062,"user_tz":-540,"elapsed":21054549,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"c1fdb5ae-cc87-4fad-89af-ba2c3741ffd0"},"source":["!ls {model_dir}"],"execution_count":null,"outputs":[{"output_type":"stream","text":["checkpoint\n","eval_0\n","events.out.tfevents.1615249934.7a5870ccbabe\n","export\n","graph.pbtxt\n","model.ckpt-100000.data-00000-of-00001\n","model.ckpt-100000.index\n","model.ckpt-100000.meta\n","model.ckpt-88891.data-00000-of-00001\n","model.ckpt-88891.index\n","model.ckpt-88891.meta\n","model.ckpt-91757.data-00000-of-00001\n","model.ckpt-91757.index\n","model.ckpt-91757.meta\n","model.ckpt-94624.data-00000-of-00001\n","model.ckpt-94624.index\n","model.ckpt-94624.meta\n","model.ckpt-97488.data-00000-of-00001\n","model.ckpt-97488.index\n","model.ckpt-97488.meta\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"OmSESMetj1sa"},"source":["## Exporting Trained Inference Graphs\n","Once your training job is complete, you need to extract the newly trained inference graph, which will be later used to perform the object detection. We do this again for TFLite. This can be done as follows:"]},{"cell_type":"code","metadata":{"id":"DHoP90pUyKSq","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615273820181,"user_tz":-540,"elapsed":19643,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"eae9de0c-a267-415c-fb2c-1f3b648cc0f3"},"source":["%cd /content/models/research\n","\n","import re\n","import numpy as np\n","\n","output_directory = './fine_tuned_model'\n","tflite_directory = './fine_tuned_model/tflite'\n","\n","lst = os.listdir(model_dir)\n","lst = [l for l in lst if 'model.ckpt-' in l and '.meta' in l]\n","steps=np.array([int(re.findall('\\d+', l)[0]) for l in lst])\n","last_model = lst[steps.argmax()].replace('.meta', '')\n","\n","last_model_path = os.path.join(model_dir, last_model)\n","print(last_model_path)\n","!python /content/models/research/object_detection/export_inference_graph.py \\\n","    --input_type=image_tensor \\\n","    --pipeline_config_path={pipeline_fname} \\\n","    --output_directory={output_directory} \\\n","    --trained_checkpoint_prefix={last_model_path} \n","!python /content/models/research/object_detection/export_tflite_ssd_graph.py \\\n","    --input_type=image_tensor \\\n","    --pipeline_config_path={pipeline_fname} \\\n","    --output_directory={tflite_directory} \\\n","    --trained_checkpoint_prefix={last_model_path} "],"execution_count":84,"outputs":[{"output_type":"stream","text":["/content/models/research\n","training/model.ckpt-100000\n","WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tf_slim/layers/layers.py:1089: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use `layer.__call__` method instead.\n","W0309 07:10:24.115587 140144874051456 deprecation.py:323] From /usr/local/lib/python3.7/dist-packages/tf_slim/layers/layers.py:1089: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use `layer.__call__` method instead.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:26.245858 140144874051456 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:26.282839 140144874051456 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:26.319069 140144874051456 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:26.354614 140144874051456 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:26.389331 140144874051456 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:26.423210 140144874051456 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","WARNING:tensorflow:From /content/models/research/object_detection/core/post_processing.py:601: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.where in 2.0, which has the same broadcast rule as np.where\n","W0309 07:10:26.663420 140144874051456 deprecation.py:323] From /content/models/research/object_detection/core/post_processing.py:601: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.where in 2.0, which has the same broadcast rule as np.where\n","WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:474: get_or_create_global_step (from tf_slim.ops.variables) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please switch to tf.train.get_or_create_global_step\n","W0309 07:10:27.003052 140144874051456 deprecation.py:323] From /content/models/research/object_detection/exporter.py:474: get_or_create_global_step (from tf_slim.ops.variables) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please switch to tf.train.get_or_create_global_step\n","WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:653: print_model_analysis (from tensorflow.contrib.tfprof.model_analyzer) is deprecated and will be removed after 2018-01-01.\n","Instructions for updating:\n","Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. Build `options` with `tf.profiler.ProfileOptionBuilder`. See README.md for details\n","W0309 07:10:27.005970 140144874051456 deprecation.py:323] From /content/models/research/object_detection/exporter.py:653: print_model_analysis (from tensorflow.contrib.tfprof.model_analyzer) is deprecated and will be removed after 2018-01-01.\n","Instructions for updating:\n","Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. Build `options` with `tf.profiler.ProfileOptionBuilder`. See README.md for details\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`\n","W0309 07:10:27.006468 140144874051456 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`\n","135 ops no flops stats due to incomplete shapes.\n","Parsing Inputs...\n","Incomplete shape.\n","\n","=========================Options=============================\n","-max_depth                  10000\n","-min_bytes                  0\n","-min_peak_bytes             0\n","-min_residual_bytes         0\n","-min_output_bytes           0\n","-min_micros                 0\n","-min_accelerator_micros     0\n","-min_cpu_micros             0\n","-min_params                 0\n","-min_float_ops              0\n","-min_occurrence             0\n","-step                       -1\n","-order_by                   name\n","-account_type_regexes       _trainable_variables\n","-start_name_regexes         .*\n","-trim_name_regexes          .*BatchNorm.*\n","-show_name_regexes          .*\n","-hide_name_regexes          \n","-account_displayed_op_only  true\n","-select                     params\n","-output                     stdout:\n","\n","==================Model Analysis Report======================\n","Incomplete shape.\n","\n","Doc:\n","scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.\n","param: Number of parameters (in the Variable).\n","\n","Profile:\n","node name | # parameters\n","_TFProfRoot (--/4.59m params)\n","  BoxPredictor_0 (--/12.12k params)\n","    BoxPredictor_0/BoxEncodingPredictor (--/6.92k params)\n","      BoxPredictor_0/BoxEncodingPredictor/biases (12, 12/12 params)\n","      BoxPredictor_0/BoxEncodingPredictor/weights (1x1x576x12, 6.91k/6.91k params)\n","    BoxPredictor_0/ClassPredictor (--/5.19k params)\n","      BoxPredictor_0/ClassPredictor/biases (9, 9/9 params)\n","      BoxPredictor_0/ClassPredictor/weights (1x1x576x9, 5.18k/5.18k params)\n","  BoxPredictor_1 (--/53.80k params)\n","    BoxPredictor_1/BoxEncodingPredictor (--/30.74k params)\n","      BoxPredictor_1/BoxEncodingPredictor/biases (24, 24/24 params)\n","      BoxPredictor_1/BoxEncodingPredictor/weights (1x1x1280x24, 30.72k/30.72k params)\n","    BoxPredictor_1/ClassPredictor (--/23.06k params)\n","      BoxPredictor_1/ClassPredictor/biases (18, 18/18 params)\n","      BoxPredictor_1/ClassPredictor/weights (1x1x1280x18, 23.04k/23.04k params)\n","  BoxPredictor_2 (--/21.55k params)\n","    BoxPredictor_2/BoxEncodingPredictor (--/12.31k params)\n","      BoxPredictor_2/BoxEncodingPredictor/biases (24, 24/24 params)\n","      BoxPredictor_2/BoxEncodingPredictor/weights (1x1x512x24, 12.29k/12.29k params)\n","    BoxPredictor_2/ClassPredictor (--/9.23k params)\n","      BoxPredictor_2/ClassPredictor/biases (18, 18/18 params)\n","      BoxPredictor_2/ClassPredictor/weights (1x1x512x18, 9.22k/9.22k params)\n","  BoxPredictor_3 (--/10.79k params)\n","    BoxPredictor_3/BoxEncodingPredictor (--/6.17k params)\n","      BoxPredictor_3/BoxEncodingPredictor/biases (24, 24/24 params)\n","      BoxPredictor_3/BoxEncodingPredictor/weights (1x1x256x24, 6.14k/6.14k params)\n","    BoxPredictor_3/ClassPredictor (--/4.63k params)\n","      BoxPredictor_3/ClassPredictor/biases (18, 18/18 params)\n","      BoxPredictor_3/ClassPredictor/weights (1x1x256x18, 4.61k/4.61k params)\n","  BoxPredictor_4 (--/10.79k params)\n","    BoxPredictor_4/BoxEncodingPredictor (--/6.17k params)\n","      BoxPredictor_4/BoxEncodingPredictor/biases (24, 24/24 params)\n","      BoxPredictor_4/BoxEncodingPredictor/weights (1x1x256x24, 6.14k/6.14k params)\n","    BoxPredictor_4/ClassPredictor (--/4.63k params)\n","      BoxPredictor_4/ClassPredictor/biases (18, 18/18 params)\n","      BoxPredictor_4/ClassPredictor/weights (1x1x256x18, 4.61k/4.61k params)\n","  BoxPredictor_5 (--/5.42k params)\n","    BoxPredictor_5/BoxEncodingPredictor (--/3.10k params)\n","      BoxPredictor_5/BoxEncodingPredictor/biases (24, 24/24 params)\n","      BoxPredictor_5/BoxEncodingPredictor/weights (1x1x128x24, 3.07k/3.07k params)\n","    BoxPredictor_5/ClassPredictor (--/2.32k params)\n","      BoxPredictor_5/ClassPredictor/biases (18, 18/18 params)\n","      BoxPredictor_5/ClassPredictor/weights (1x1x128x18, 2.30k/2.30k params)\n","  FeatureExtractor (--/4.48m params)\n","    FeatureExtractor/MobilenetV2 (--/4.48m params)\n","      FeatureExtractor/MobilenetV2/Conv (--/864 params)\n","        FeatureExtractor/MobilenetV2/Conv/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/Conv/weights (3x3x3x32, 864/864 params)\n","      FeatureExtractor/MobilenetV2/Conv_1 (--/409.60k params)\n","        FeatureExtractor/MobilenetV2/Conv_1/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/Conv_1/weights (1x1x320x1280, 409.60k/409.60k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv (--/800 params)\n","        FeatureExtractor/MobilenetV2/expanded_conv/depthwise (--/288 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights (3x3x32x1, 288/288 params)\n","        FeatureExtractor/MobilenetV2/expanded_conv/project (--/512 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv/project/weights (1x1x32x16, 512/512 params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_1 (--/4.70k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise (--/864 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights (3x3x96x1, 864/864 params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_1/expand (--/1.54k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_1/expand/weights (1x1x16x96, 1.54k/1.54k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_1/project (--/2.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_1/project/weights (1x1x96x24, 2.30k/2.30k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_10 (--/64.90k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise (--/3.46k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights (3x3x384x1, 3.46k/3.46k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_10/expand (--/24.58k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_10/expand/weights (1x1x64x384, 24.58k/24.58k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_10/project (--/36.86k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_10/project/weights (1x1x384x96, 36.86k/36.86k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_11 (--/115.78k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise (--/5.18k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights (3x3x576x1, 5.18k/5.18k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_11/expand (--/55.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_11/expand/weights (1x1x96x576, 55.30k/55.30k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_11/project (--/55.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_11/project/weights (1x1x576x96, 55.30k/55.30k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_12 (--/115.78k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise (--/5.18k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights (3x3x576x1, 5.18k/5.18k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_12/expand (--/55.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_12/expand/weights (1x1x96x576, 55.30k/55.30k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_12/project (--/55.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_12/project/weights (1x1x576x96, 55.30k/55.30k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_13 (--/152.64k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise (--/5.18k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights (3x3x576x1, 5.18k/5.18k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_13/expand (--/55.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_13/expand/weights (1x1x96x576, 55.30k/55.30k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_13/project (--/92.16k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_13/project/weights (1x1x576x160, 92.16k/92.16k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_14 (--/315.84k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise (--/8.64k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights (3x3x960x1, 8.64k/8.64k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_14/expand (--/153.60k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_14/expand/weights (1x1x160x960, 153.60k/153.60k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_14/project (--/153.60k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_14/project/weights (1x1x960x160, 153.60k/153.60k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_15 (--/315.84k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise (--/8.64k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights (3x3x960x1, 8.64k/8.64k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_15/expand (--/153.60k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_15/expand/weights (1x1x160x960, 153.60k/153.60k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_15/project (--/153.60k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_15/project/weights (1x1x960x160, 153.60k/153.60k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_16 (--/469.44k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise (--/8.64k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights (3x3x960x1, 8.64k/8.64k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_16/expand (--/153.60k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_16/expand/weights (1x1x160x960, 153.60k/153.60k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_16/project (--/307.20k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_16/project/weights (1x1x960x320, 307.20k/307.20k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_2 (--/8.21k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise (--/1.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights (3x3x144x1, 1.30k/1.30k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_2/expand (--/3.46k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_2/expand/weights (1x1x24x144, 3.46k/3.46k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_2/project (--/3.46k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_2/project/weights (1x1x144x24, 3.46k/3.46k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_3 (--/9.36k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise (--/1.30k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights (3x3x144x1, 1.30k/1.30k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_3/expand (--/3.46k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_3/expand/weights (1x1x24x144, 3.46k/3.46k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_3/project (--/4.61k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_3/project/weights (1x1x144x32, 4.61k/4.61k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_4 (--/14.02k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise (--/1.73k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights (3x3x192x1, 1.73k/1.73k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_4/expand (--/6.14k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_4/expand/weights (1x1x32x192, 6.14k/6.14k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_4/project (--/6.14k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_4/project/weights (1x1x192x32, 6.14k/6.14k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_5 (--/14.02k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise (--/1.73k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights (3x3x192x1, 1.73k/1.73k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_5/expand (--/6.14k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_5/expand/weights (1x1x32x192, 6.14k/6.14k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_5/project (--/6.14k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_5/project/weights (1x1x192x32, 6.14k/6.14k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_6 (--/20.16k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise (--/1.73k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights (3x3x192x1, 1.73k/1.73k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_6/expand (--/6.14k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_6/expand/weights (1x1x32x192, 6.14k/6.14k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_6/project (--/12.29k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_6/project/weights (1x1x192x64, 12.29k/12.29k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_7 (--/52.61k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise (--/3.46k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights (3x3x384x1, 3.46k/3.46k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_7/expand (--/24.58k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_7/expand/weights (1x1x64x384, 24.58k/24.58k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_7/project (--/24.58k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_7/project/weights (1x1x384x64, 24.58k/24.58k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_8 (--/52.61k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise (--/3.46k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights (3x3x384x1, 3.46k/3.46k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_8/expand (--/24.58k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_8/expand/weights (1x1x64x384, 24.58k/24.58k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_8/project (--/24.58k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_8/project/weights (1x1x384x64, 24.58k/24.58k params)\n","      FeatureExtractor/MobilenetV2/expanded_conv_9 (--/52.61k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise (--/3.46k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights (3x3x384x1, 3.46k/3.46k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_9/expand (--/24.58k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_9/expand/weights (1x1x64x384, 24.58k/24.58k params)\n","        FeatureExtractor/MobilenetV2/expanded_conv_9/project (--/24.58k params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm (--/0 params)\n","          FeatureExtractor/MobilenetV2/expanded_conv_9/project/weights (1x1x384x64, 24.58k/24.58k params)\n","      FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256 (--/327.68k params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/weights (1x1x1280x256, 327.68k/327.68k params)\n","      FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128 (--/65.54k params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/weights (1x1x512x128, 65.54k/65.54k params)\n","      FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128 (--/32.77k params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/weights (1x1x256x128, 32.77k/32.77k params)\n","      FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64 (--/16.38k params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/weights (1x1x256x64, 16.38k/16.38k params)\n","      FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512 (--/1.18m params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/weights (3x3x256x512, 1.18m/1.18m params)\n","      FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256 (--/294.91k params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/weights (3x3x128x256, 294.91k/294.91k params)\n","      FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256 (--/294.91k params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/weights (3x3x128x256, 294.91k/294.91k params)\n","      FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128 (--/73.73k params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm (--/0 params)\n","        FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/weights (3x3x64x128, 73.73k/73.73k params)\n","\n","======================End of Report==========================\n","135 ops no flops stats due to incomplete shapes.\n","Parsing Inputs...\n","Incomplete shape.\n","\n","=========================Options=============================\n","-max_depth                  10000\n","-min_bytes                  0\n","-min_peak_bytes             0\n","-min_residual_bytes         0\n","-min_output_bytes           0\n","-min_micros                 0\n","-min_accelerator_micros     0\n","-min_cpu_micros             0\n","-min_params                 0\n","-min_float_ops              1\n","-min_occurrence             0\n","-step                       -1\n","-order_by                   float_ops\n","-account_type_regexes       .*\n","-start_name_regexes         .*\n","-trim_name_regexes          .*BatchNorm.*,.*Initializer.*,.*Regularizer.*,.*BiasAdd.*\n","-show_name_regexes          .*\n","-hide_name_regexes          \n","-account_displayed_op_only  true\n","-select                     float_ops\n","-output                     stdout:\n","\n","==================Model Analysis Report======================\n","Incomplete shape.\n","\n","Doc:\n","scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.\n","flops: Number of float operations. Note: Please read the implementation for the math behind it.\n","\n","Profile:\n","node name | # float_ops\n","_TFProfRoot (--/13.71k flops)\n","  MultipleGridAnchorGenerator/mul_20 (2.17k/2.17k flops)\n","  MultipleGridAnchorGenerator/sub (2.17k/2.17k flops)\n","  MultipleGridAnchorGenerator/mul_19 (2.17k/2.17k flops)\n","  MultipleGridAnchorGenerator/mul_27 (1.20k/1.20k flops)\n","  MultipleGridAnchorGenerator/sub_1 (1.20k/1.20k flops)\n","  MultipleGridAnchorGenerator/mul_28 (1.20k/1.20k flops)\n","  MultipleGridAnchorGenerator/mul_21 (1.08k/1.08k flops)\n","  MultipleGridAnchorGenerator/mul_29 (600/600 flops)\n","  MultipleGridAnchorGenerator/sub_2 (300/300 flops)\n","  MultipleGridAnchorGenerator/mul_35 (300/300 flops)\n","  MultipleGridAnchorGenerator/mul_36 (300/300 flops)\n","  MultipleGridAnchorGenerator/mul_37 (150/150 flops)\n","  MultipleGridAnchorGenerator/sub_3 (108/108 flops)\n","  MultipleGridAnchorGenerator/mul_44 (108/108 flops)\n","  MultipleGridAnchorGenerator/mul_43 (108/108 flops)\n","  MultipleGridAnchorGenerator/mul_45 (54/54 flops)\n","  MultipleGridAnchorGenerator/sub_4 (48/48 flops)\n","  MultipleGridAnchorGenerator/mul_51 (48/48 flops)\n","  MultipleGridAnchorGenerator/mul_52 (48/48 flops)\n","  MultipleGridAnchorGenerator/mul_53 (24/24 flops)\n","  MultipleGridAnchorGenerator/mul_18 (19/19 flops)\n","  MultipleGridAnchorGenerator/mul_17 (19/19 flops)\n","  MultipleGridAnchorGenerator/mul_60 (12/12 flops)\n","  MultipleGridAnchorGenerator/sub_5 (12/12 flops)\n","  MultipleGridAnchorGenerator/mul_59 (12/12 flops)\n","  MultipleGridAnchorGenerator/mul_25 (10/10 flops)\n","  MultipleGridAnchorGenerator/mul_26 (10/10 flops)\n","  MultipleGridAnchorGenerator/mul_40 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_30 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_61 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_46 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_47 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_48 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_56 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_55 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_54 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_39 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_38 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_32 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_31 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_24 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_23 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_22 (6/6 flops)\n","  MultipleGridAnchorGenerator/truediv_19 (6/6 flops)\n","  MultipleGridAnchorGenerator/truediv_18 (6/6 flops)\n","  MultipleGridAnchorGenerator/truediv_17 (6/6 flops)\n","  MultipleGridAnchorGenerator/truediv_16 (6/6 flops)\n","  MultipleGridAnchorGenerator/truediv_15 (6/6 flops)\n","  MultipleGridAnchorGenerator/mul_34 (5/5 flops)\n","  MultipleGridAnchorGenerator/mul_33 (5/5 flops)\n","  MultipleGridAnchorGenerator/mul_41 (3/3 flops)\n","  MultipleGridAnchorGenerator/truediv_14 (3/3 flops)\n","  MultipleGridAnchorGenerator/mul_42 (3/3 flops)\n","  MultipleGridAnchorGenerator/mul_14 (3/3 flops)\n","  MultipleGridAnchorGenerator/mul_15 (3/3 flops)\n","  MultipleGridAnchorGenerator/mul_16 (3/3 flops)\n","  MultipleGridAnchorGenerator/mul_49 (2/2 flops)\n","  MultipleGridAnchorGenerator/mul_50 (2/2 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_1 (1/1 flops)\n","  Preprocessor/map/while/Less_1 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField/Equal (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField_1/Equal (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_1 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_2 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_3 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_9 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_8 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_7 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_2 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_2 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_6 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_5 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_4 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_3 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_19 (1/1 flops)\n","  MultipleGridAnchorGenerator/Minimum (1/1 flops)\n","  Preprocessor/map/while/Less (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/ones/Less (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_9 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_8 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_7 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_6 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_5 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_4 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_3 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_2 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_18 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_17 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_16 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_15 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_14 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_13 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_12 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_11 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_10 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_1 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_4 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_1 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_9 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_8 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_7 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_6 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_58 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_57 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_5 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_10 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_3 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_2 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_13 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_12 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_11 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_10 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul_1 (1/1 flops)\n","  MultipleGridAnchorGenerator/mul (1/1 flops)\n","  MultipleGridAnchorGenerator/assert_equal_1/Equal (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_8 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Greater (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/truediv_1 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/truediv (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/sub_1 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/sub (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/Less_1 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/Less (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_9 (1/1 flops)\n","  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_1 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_7 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_6 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_5 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_4 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_3 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_2 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_13 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_12 (1/1 flops)\n","  MultipleGridAnchorGenerator/truediv_11 (1/1 flops)\n","\n","======================End of Report==========================\n","2021-03-09 07:10:28.700374: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n","2021-03-09 07:10:28.706497: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.707242: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:10:28.707702: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:28.709182: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:10:28.710891: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:10:28.711303: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:10:28.713468: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:10:28.714375: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:10:28.718164: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:10:28.718306: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.718870: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.719372: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:10:28.724075: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199995000 Hz\n","2021-03-09 07:10:28.724295: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55c46d337d40 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n","2021-03-09 07:10:28.724322: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n","2021-03-09 07:10:28.803417: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.804069: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55c476a82540 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n","2021-03-09 07:10:28.804108: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n","2021-03-09 07:10:28.804306: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.804779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:10:28.804842: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:28.804873: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:10:28.804897: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:10:28.804921: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:10:28.804940: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:10:28.804959: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:10:28.804978: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:10:28.805052: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.805607: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.806048: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:10:28.806120: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:28.807245: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 07:10:28.807276: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 07:10:28.807287: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 07:10:28.807413: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.808573: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:28.809041: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n","2021-03-09 07:10:28.809091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 12105 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-100000\n","I0309 07:10:28.810792 140144874051456 saver.py:1284] Restoring parameters from training/model.ckpt-100000\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use standard file APIs to check for files with this prefix.\n","W0309 07:10:29.765475 140144874051456 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use standard file APIs to check for files with this prefix.\n","2021-03-09 07:10:30.393130: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:30.393701: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:10:30.393824: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:30.393855: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:10:30.393884: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:10:30.393909: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:10:30.393929: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:10:30.393952: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:10:30.393976: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:10:30.394063: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:30.394597: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:30.395060: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:10:30.395106: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 07:10:30.395122: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 07:10:30.395131: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 07:10:30.395243: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:30.395749: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:30.396210: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 12105 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-100000\n","I0309 07:10:30.397376 140144874051456 saver.py:1284] Restoring parameters from training/model.ckpt-100000\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n","W0309 07:10:30.937278 140144874051456 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.extract_sub_graph`\n","W0309 07:10:30.937527 140144874051456 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.extract_sub_graph`\n","INFO:tensorflow:Froze 324 variables.\n","I0309 07:10:31.250460 140144874051456 graph_util_impl.py:334] Froze 324 variables.\n","INFO:tensorflow:Converted 324 variables to const ops.\n","I0309 07:10:31.327425 140144874051456 graph_util_impl.py:394] Converted 324 variables to const ops.\n","2021-03-09 07:10:31.448298: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:31.448863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:10:31.448950: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:31.448976: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:10:31.448998: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:10:31.449024: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:10:31.449045: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:10:31.449064: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:10:31.449085: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:10:31.449171: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:31.449696: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:31.450146: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:10:31.450184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 07:10:31.450200: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 07:10:31.450209: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 07:10:31.450314: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:31.450865: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:31.451327: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 12105 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","Traceback (most recent call last):\n","  File \"/content/models/research/object_detection/export_inference_graph.py\", line 206, in <module>\n","    tf.app.run()\n","  File \"/tensorflow-1.15.2/python3.7/tensorflow_core/python/platform/app.py\", line 40, in run\n","    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)\n","  File \"/usr/local/lib/python3.7/dist-packages/absl/app.py\", line 300, in run\n","    _run_main(main, args)\n","  File \"/usr/local/lib/python3.7/dist-packages/absl/app.py\", line 251, in _run_main\n","    sys.exit(main(argv))\n","  File \"/content/models/research/object_detection/export_inference_graph.py\", line 202, in main\n","    side_input_types=side_input_types)\n","  File \"/content/models/research/object_detection/exporter.py\", line 625, in export_inference_graph\n","    side_input_types=side_input_types)\n","  File \"/content/models/research/object_detection/exporter.py\", line 566, in _export_inference_graph\n","    placeholder_tensor_dict, outputs)\n","  File \"/content/models/research/object_detection/exporter.py\", line 379, in write_saved_model\n","    builder = tf.saved_model.builder.SavedModelBuilder(saved_model_path)\n","  File \"/tensorflow-1.15.2/python3.7/tensorflow_core/python/saved_model/builder_impl.py\", line 436, in __init__\n","    super(SavedModelBuilder, self).__init__(export_dir=export_dir)\n","  File \"/tensorflow-1.15.2/python3.7/tensorflow_core/python/saved_model/builder_impl.py\", line 103, in __init__\n","    \"specified directory: %s\" % export_dir)\n","AssertionError: Export directory already exists, and isn't empty. Please choose a different export directory, or delete all the contents of the specified directory: ./fine_tuned_model/saved_model\n","WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tf_slim/layers/layers.py:1089: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use `layer.__call__` method instead.\n","W0309 07:10:35.063865 140152202958720 deprecation.py:323] From /usr/local/lib/python3.7/dist-packages/tf_slim/layers/layers.py:1089: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use `layer.__call__` method instead.\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:37.079339 140152202958720 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:37.107856 140152202958720 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:37.134758 140152202958720 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:37.161428 140152202958720 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:37.187724 140152202958720 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","INFO:tensorflow:depth of additional conv before box predictor: 0\n","I0309 07:10:37.216036 140152202958720 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0\n","2021-03-09 07:10:37.253967: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n","2021-03-09 07:10:37.259723: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.260290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:10:37.260562: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:37.262151: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:10:37.263674: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:10:37.263980: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:10:37.265601: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:10:37.266602: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:10:37.270078: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:10:37.270189: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.270724: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.271166: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:10:37.275840: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199995000 Hz\n","2021-03-09 07:10:37.276015: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56000a2aea00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n","2021-03-09 07:10:37.276042: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n","2021-03-09 07:10:37.359863: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.360541: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56000a2aebc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n","2021-03-09 07:10:37.360575: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n","2021-03-09 07:10:37.360743: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.361239: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:10:37.361311: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:37.361335: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:10:37.361360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:10:37.361380: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:10:37.361400: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:10:37.361422: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:10:37.361445: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:10:37.361514: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.362005: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.362474: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:10:37.362540: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:37.363666: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 07:10:37.363693: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 07:10:37.363710: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 07:10:37.363818: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.364344: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:37.364803: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n","2021-03-09 07:10:37.364842: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 12105 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use standard file APIs to check for files with this prefix.\n","W0309 07:10:37.716836 140152202958720 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use standard file APIs to check for files with this prefix.\n","2021-03-09 07:10:38.165168: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:38.165733: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:10:38.165826: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:10:38.165852: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:10:38.165879: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:10:38.165903: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:10:38.165925: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:10:38.165948: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:10:38.165972: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:10:38.166057: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:38.166611: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:38.167074: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:10:38.167116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 07:10:38.167131: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 07:10:38.167141: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 07:10:38.167253: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:38.167805: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:10:38.168283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 12105 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n","INFO:tensorflow:Restoring parameters from training/model.ckpt-100000\n","I0309 07:10:38.169434 140152202958720 saver.py:1284] Restoring parameters from training/model.ckpt-100000\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n","W0309 07:10:39.017118 140152202958720 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n","WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.extract_sub_graph`\n","W0309 07:10:39.017376 140152202958720 deprecation.py:323] From /tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.compat.v1.graph_util.extract_sub_graph`\n","INFO:tensorflow:Froze 324 variables.\n","I0309 07:10:39.270321 140152202958720 graph_util_impl.py:334] Froze 324 variables.\n","INFO:tensorflow:Converted 324 variables to const ops.\n","I0309 07:10:39.324733 140152202958720 graph_util_impl.py:394] Converted 324 variables to const ops.\n","2021-03-09 07:10:39.405248: I tensorflow/tools/graph_transforms/transform_graph.cc:317] Applying strip_unused_nodes\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"usgBZvkz0nqD","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615273847930,"user_tz":-540,"elapsed":1175,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"dd9da71a-65ce-415a-d69d-32936c5327b6"},"source":["!ls {output_directory}"],"execution_count":85,"outputs":[{"output_type":"stream","text":["checkpoint\t\t   model.ckpt.data-00000-of-00001  pipeline.config\n","final_model.tflite\t   model.ckpt.index\t\t   saved_model\n","frozen_inference_graph.pb  model.ckpt.meta\t\t   tflite\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"p09AOThWkaQv"},"source":["## Download the model `.pb` file"]},{"cell_type":"code","metadata":{"id":"CnDo1lonKgFr","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615273847932,"user_tz":-540,"elapsed":1164,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"7a76e027-3144-4229-f156-8128f4e6ac80"},"source":["import os\n","\n","pb_fname = os.path.join(os.path.abspath(output_directory), \"frozen_inference_graph.pb\")\n","print(pb_fname)\n","assert os.path.isfile(pb_fname), '`{}` not exist'.format(pb_fname)"],"execution_count":86,"outputs":[{"output_type":"stream","text":["/content/models/research/fine_tuned_model/frozen_inference_graph.pb\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"lHqWkLBINYoI","executionInfo":{"status":"ok","timestamp":1615273847933,"user_tz":-540,"elapsed":1164,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["# !ls -alh {pb_fname}"],"execution_count":87,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"FIqnjbWYsuQw"},"source":["### Option1 : upload the `.pb` file to your Google Drive\n","Then download it from your Google Drive to local file system.\n","\n","During this step, you will be prompted to enter the token."]},{"cell_type":"code","metadata":{"id":"hAqyASIJqjae","executionInfo":{"status":"ok","timestamp":1615273847934,"user_tz":-540,"elapsed":1161,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["# # Install the PyDrive wrapper & import libraries.\n","# # This only needs to be done once in a notebook.\n","# !pip install -U -q PyDrive\n","# from pydrive.auth import GoogleAuth\n","# from pydrive.drive import GoogleDrive\n","# from google.colab import auth\n","# from oauth2client.client import GoogleCredentials\n","\n","\n","# # Authenticate and create the PyDrive client.\n","# # This only needs to be done once in a notebook.\n","# auth.authenticate_user()\n","# gauth = GoogleAuth()\n","# gauth.credentials = GoogleCredentials.get_application_default()\n","# drive = GoogleDrive(gauth)\n","\n","# fname = os.path.basename(pb_fname)\n","# # Create & upload a text file.\n","# uploaded = drive.CreateFile({'title': fname})\n","# uploaded.SetContentFile(pb_fname)\n","# uploaded.Upload()\n","# print('Uploaded file with ID {}'.format(uploaded.get('id')))"],"execution_count":88,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"2FKFq8RXs6bs"},"source":["### Option2 :  Download the `.pb` file directly to your local file system\n","This method may not be stable when downloading large files like the model `.pb` file. Try **option 1** instead if not working."]},{"cell_type":"code","metadata":{"id":"-bP0iMMnnr77","colab":{"base_uri":"https://localhost:8080/","height":17},"executionInfo":{"status":"ok","timestamp":1615273847935,"user_tz":-540,"elapsed":1141,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"de5bcbb3-e4b5-4df0-ebba-f00dff6b9182"},"source":["from google.colab import files\n","files.download(pb_fname)"],"execution_count":89,"outputs":[{"output_type":"display_data","data":{"application/javascript":["\n","    async function download(id, filename, size) {\n","      if (!google.colab.kernel.accessAllowed) {\n","        return;\n","      }\n","      const div = document.createElement('div');\n","      const label = document.createElement('label');\n","      label.textContent = `Downloading \"${filename}\": `;\n","      div.appendChild(label);\n","      const progress = document.createElement('progress');\n","      progress.max = size;\n","      div.appendChild(progress);\n","      document.body.appendChild(div);\n","\n","      const buffers = [];\n","      let downloaded = 0;\n","\n","      const channel = await google.colab.kernel.comms.open(id);\n","      // Send a message to notify the kernel that we're ready.\n","      channel.send({})\n","\n","      for await (const message of channel.messages) {\n","        // Send a message to notify the kernel that we're ready.\n","        channel.send({})\n","        if (message.buffers) {\n","          for (const buffer of message.buffers) {\n","            buffers.push(buffer);\n","            downloaded += buffer.byteLength;\n","            progress.value = downloaded;\n","          }\n","        }\n","      }\n","      const blob = new Blob(buffers, {type: 'application/binary'});\n","      const a = document.createElement('a');\n","      a.href = window.URL.createObjectURL(blob);\n","      a.download = filename;\n","      div.appendChild(a);\n","      a.click();\n","      div.remove();\n","    }\n","  "],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"application/javascript":["download(\"download_7fefe11e-2aff-45c2-b6d3-170975606bbe\", \"frozen_inference_graph.pb\", 19245490)"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"MFyCeiBb9BbS"},"source":["### OPTIONAL: Download the `label_map.pbtxt` file"]},{"cell_type":"code","metadata":{"id":"K1TbL6Ox8q6Z","executionInfo":{"status":"ok","timestamp":1615273847936,"user_tz":-540,"elapsed":1139,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["# from google.colab import files\n","# files.download(label_map_pbtxt_fname)"],"execution_count":90,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"iUmAo9foa1xq"},"source":["### OPTIONAL: Download the modified pipline file\n","If you plan to use OpenVINO toolkit to convert the `.pb` file to inference faster on Intel's hardware (CPU/GPU, Movidius, etc.)"]},{"cell_type":"code","metadata":{"id":"pql2QpemazE1","executionInfo":{"status":"ok","timestamp":1615273847936,"user_tz":-540,"elapsed":1136,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["# files.download(pipeline_fname)"],"execution_count":91,"outputs":[]},{"cell_type":"code","metadata":{"id":"w1AgBj1l0v_W","executionInfo":{"status":"ok","timestamp":1615273847937,"user_tz":-540,"elapsed":1134,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["# !tar cfz fine_tuned_model.tar.gz fine_tuned_model\n","# from google.colab import files\n","# files.download('fine_tuned_model.tar.gz')"],"execution_count":92,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"mz1gX19GlVW7"},"source":["## Run inference test\n","Test with images in repository `tensorflow-object-detection/test` directory.\n","\n","**To test with your own images, you need to place your images inside the `test` directory in this Colab notebook!** More on this below."]},{"cell_type":"code","metadata":{"id":"tnrAHO1q-cmo","executionInfo":{"status":"ok","timestamp":1615273848225,"user_tz":-540,"elapsed":1417,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["!cp -r /content/test/test/ /content/tensorflow-object-detection-faster-rcnn/"],"execution_count":93,"outputs":[]},{"cell_type":"code","metadata":{"id":"Pzj9A4e5mj5l","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615273848226,"user_tz":-540,"elapsed":1402,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"f27c861e-3164-4264-af83-ad50d6e855dc"},"source":["import os\n","import glob\n","\n","# Path to frozen detection graph. This is the actual model that is used for the object detection.\n","PATH_TO_CKPT = pb_fname\n","\n","# List of the strings that is used to add correct label for each box.\n","PATH_TO_LABELS = label_map_pbtxt_fname\n","\n","# If you want to test the code with your images, just add images files to the PATH_TO_TEST_IMAGES_DIR.\n","PATH_TO_TEST_IMAGES_DIR =  os.path.join(repo_dir_path, \"test\")\n","\n","assert os.path.isfile(pb_fname)\n","assert os.path.isfile(PATH_TO_LABELS)\n","TEST_IMAGE_PATHS = glob.glob(os.path.join(PATH_TO_TEST_IMAGES_DIR, \"*.*\"))\n","assert len(TEST_IMAGE_PATHS) > 0, 'No image found in `{}`.'.format(PATH_TO_TEST_IMAGES_DIR)\n","print(TEST_IMAGE_PATHS)"],"execution_count":94,"outputs":[{"output_type":"stream","text":["['/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets646_png.rf.0b7a5713d9b79aa6a913b0363eb1a99c.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets659_png.rf.ce7609da4b7d90bf3729727bb01e41f1.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets419_png.rf.21cbc75ba19c2086a48486714136378b.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets524_png.rf.28519b57d4a5a1a756406f5b94297228.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets715_png.rf.5e455c92806723da8db427245cc4cf31.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets542_png.rf.493fa100cc28ef98d31a067e0b462ce3.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets627_png.rf.aa0b8eba9053e914d80f96f56cb19181.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets116_png.rf.96af39f9913389611369b70d59506632.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets433_png.rf.76ad6ea6dd47e11d8b86e8c388c977d5.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets572_png.rf.00cedc51789e66be299870ddad9958a4.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets238_png.rf.640ce258e2b34f684bd79513a5fbbfe3.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets367_png.rf.092cd9d03d6ec74839442abf86ecef90.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets25_png.rf.a8c9e13d3963a9a7b75d17adf0bf17d5.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets645_png.rf.b7c4c0252675b80adf1aab89261c9ecf.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets254_png.rf.bc79994873ad6c3341928c6d42a703e3.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets672_png.rf.0b7151d13f35c04e47feedd1d077cf76.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets648_png.rf.0122bf6cb4a133a4da27d4346a89bd99.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets375_png.rf.809449d32fc39ac5e8c5c4b221a195b2.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets724_png.rf.f3ed575b25fc0c0d336e221aac01f076.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets23_png.rf.88081b751128dcbc6c2c21443d3cb84d.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets326_png.rf.550851b9d41945145c7f0d82cc46faba.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets492_png.rf.19753c88df92f3ca1c9a764a5dfa0584.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets586_png.rf.405cb491df54fee2aea57e8493cb8736.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets244_png.rf.21e7481a2a8de02b91e27d3132e9632e.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets13_png.rf.d9a066645007c7341487cc74de423416.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets100_png.rf.b6242a679739be9d9ad2ba8f9eaebcd7.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets325_png.rf.ba2f6b968288029dbfec33b466214c26.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets365_png.rf.587adc27c6700fd7a07a6ce4a1400399.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets711_png.rf.9c5db80aa88d655864ea149ce75c9584.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets540_png.rf.c4c8a10b03853fce7a80b4541fba8903.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets182_png.rf.efb8da971dfcf1748711f25b49befecb.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets242_png.rf.973b41e3e69f2f4dc9509978e42d59b9.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets749_png.rf.f2e6bc79e3494b8aaeb676271ec9f6f4.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets114_png.rf.891689a7e867988bc082446f17f7f5b4.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets403_png.rf.38ef8c1e94c48ace8cf4039db382741e.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets86_png.rf.3b022a057a4edc388133adacfd1f6422.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets392_png.rf.4cab3decd512a599fe928f6eeb3679a0.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets118_png.rf.a4bfdabd1e5435e6f137281051ca09f7.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets235_png.rf.36901aa5382c12a52120d0fffb4ccb19.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets532_png.rf.8fe28486be79a9f55429bf5459b6a5a4.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets655_png.rf.df6bd8f7806bb9529a1a8a453107098e.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets201_png.rf.0a3c829ec986fc2fc1b9c6c821e0441f.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets205_png.rf.01041b5b54ecb919eb4bae6e7ec48ee1.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets83_png.rf.c5be93405a3a3ce97b858409dbe7109a.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets720_png.rf.899eab4e8bfa8e46bc828778a769684c.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets179_png.rf.15924dc5b8d1e50705a0f3639ac88910.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets193_png.rf.c12c895d21935a091444f49bd04b7c42.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets60_png.rf.94bd6cc44abb19291bb053fac4498618.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets465_png.rf.419c901af8174e67c2f706e2ced8f2ba.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets80_png.rf.3574fce29135cc8ee66349e78c8bf06a.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets340_png.rf.0ff312a486c4da6519923aba51438cbf.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets673_png.rf.2f6990236e4ce7c6bb16bfc75f076d84.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets18_png.rf.8aa10c6da0bf27b9fc0171e0788cfceb.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets371_png.rf.93754f8b6e06d306b724a32e2435cc46.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets71_png.rf.95bec1f16e4a0f67ea29e8bc36900a4a.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets111_png.rf.32f1e62ecb6fee30165ccce8d948d625.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets231_png.rf.bb8e11c92f0142fe6712223b08d8fbd5.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets69_png.rf.6c56841547ac640a76f184ecf1be471b.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets270_png.rf.6d292bc408077d188c95eb889e22ce46.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets579_png.rf.d34b8592f0079b5cc8132e47fc798e61.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets277_png.rf.3b597f3b7cce717ae78b3f17b9695432.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets758_png.rf.d68c17f2fede5e7d0bcef46e96c418a9.jpg', '/content/tensorflow-object-detection-faster-rcnn/test/_annotations.coco.json', '/content/tensorflow-object-detection-faster-rcnn/test/BikesHelmets208_png.rf.31c32113686468abc72d2c6a6fbb1fc3.jpg']\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"RkDMDhyZ-O2T","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615273848227,"user_tz":-540,"elapsed":1393,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"8d088234-f0b7-4672-cd7f-24a331a63039"},"source":["!ls /content/tensorflow-object-detection-faster-rcnn/"],"execution_count":95,"outputs":[{"output_type":"stream","text":["data\t\t\t    requirements.txt\n","deploy\t\t\t    resize_images.py\n","generate_tfrecord.py\t    tensorflow_object_detection_training_colab.ipynb\n","LICENSE\t\t\t    test\n","local_inference_test.ipynb  Tutorial_Faster_RCNN.ipynb\n","local_inference_test.py     Tutorial_Mobilenet.ipynb\n","README.md\t\t    xml_to_csv.py\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"dNFc5CM3Duav","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615273848228,"user_tz":-540,"elapsed":1384,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"e5544b29-5250-4d04-8bfa-a8d7ef1be06e"},"source":["%cd /content/models/research/object_detection\n","\n","import numpy as np\n","import os\n","import six.moves.urllib as urllib\n","import sys\n","import tarfile\n","import tensorflow as tf\n","import zipfile\n","\n","from collections import defaultdict\n","from io import StringIO\n","from matplotlib import pyplot as plt\n","from PIL import Image\n","\n","# This is needed since the notebook is stored in the object_detection folder.\n","sys.path.append(\"..\")\n","from object_detection.utils import ops as utils_ops\n","\n","\n","# This is needed to display the images.\n","%matplotlib inline\n","\n","\n","from object_detection.utils import label_map_util\n","\n","from object_detection.utils import visualization_utils as vis_util"],"execution_count":96,"outputs":[{"output_type":"stream","text":["/content/models/research/object_detection\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"CG5YUMdg1Po7","executionInfo":{"status":"ok","timestamp":1615273848739,"user_tz":-540,"elapsed":1892,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["detection_graph = tf.Graph()\n","with detection_graph.as_default():\n","    od_graph_def = tf.GraphDef()\n","    with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:\n","        serialized_graph = fid.read()\n","        od_graph_def.ParseFromString(serialized_graph)\n","        tf.import_graph_def(od_graph_def, name='')\n","\n","\n","label_map = label_map_util.load_labelmap(PATH_TO_LABELS)\n","categories = label_map_util.convert_label_map_to_categories(\n","    label_map, max_num_classes=num_classes, use_display_name=True)\n","category_index = label_map_util.create_category_index(categories)\n","\n","\n","def load_image_into_numpy_array(image):\n","    (im_width, im_height) = image.size\n","    return np.array(image.getdata()).reshape(\n","        (im_height, im_width, 3)).astype(np.uint8)\n","\n","# Size, in inches, of the output images.\n","IMAGE_SIZE = (12, 8)\n","\n","\n","def run_inference_for_single_image(image, graph):\n","    with graph.as_default():\n","        with tf.Session() as sess:\n","            # Get handles to input and output tensors\n","            ops = tf.get_default_graph().get_operations()\n","            all_tensor_names = {\n","                output.name for op in ops for output in op.outputs}\n","            tensor_dict = {}\n","            for key in [\n","                'num_detections', 'detection_boxes', 'detection_scores',\n","                'detection_classes', 'detection_masks'\n","            ]:\n","                tensor_name = key + ':0'\n","                if tensor_name in all_tensor_names:\n","                    tensor_dict[key] = tf.get_default_graph().get_tensor_by_name(\n","                        tensor_name)\n","            if 'detection_masks' in tensor_dict:\n","                # The following processing is only for single image\n","                detection_boxes = tf.squeeze(\n","                    tensor_dict['detection_boxes'], [0])\n","                detection_masks = tf.squeeze(\n","                    tensor_dict['detection_masks'], [0])\n","                # Reframe is required to translate mask from box coordinates to image coordinates and fit the image size.\n","                real_num_detection = tf.cast(\n","                    tensor_dict['num_detections'][0], tf.int32)\n","                detection_boxes = tf.slice(detection_boxes, [0, 0], [\n","                                           real_num_detection, -1])\n","                detection_masks = tf.slice(detection_masks, [0, 0, 0], [\n","                                           real_num_detection, -1, -1])\n","                detection_masks_reframed = utils_ops.reframe_box_masks_to_image_masks(\n","                    detection_masks, detection_boxes, image.shape[0], image.shape[1])\n","                detection_masks_reframed = tf.cast(\n","                    tf.greater(detection_masks_reframed, 0.5), tf.uint8)\n","                # Follow the convention by adding back the batch dimension\n","                tensor_dict['detection_masks'] = tf.expand_dims(\n","                    detection_masks_reframed, 0)\n","            image_tensor = tf.get_default_graph().get_tensor_by_name('image_tensor:0')\n","\n","            # Run inference\n","            output_dict = sess.run(tensor_dict,\n","                                   feed_dict={image_tensor: np.expand_dims(image, 0)})\n","\n","            # all outputs are float32 numpy arrays, so convert types as appropriate\n","            output_dict['num_detections'] = int(\n","                output_dict['num_detections'][0])\n","            output_dict['detection_classes'] = output_dict[\n","                'detection_classes'][0].astype(np.uint8)\n","            output_dict['detection_boxes'] = output_dict['detection_boxes'][0]\n","            output_dict['detection_scores'] = output_dict['detection_scores'][0]\n","            if 'detection_masks' in output_dict:\n","                output_dict['detection_masks'] = output_dict['detection_masks'][0]\n","    return output_dict"],"execution_count":97,"outputs":[]},{"cell_type":"code","metadata":{"id":"-IbKIjbY_MRk","executionInfo":{"status":"ok","timestamp":1615273848740,"user_tz":-540,"elapsed":1891,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["# Output images not showing? Run this cell again, and try the cell above\n","# This is needed to display the images.\n","%matplotlib inline"],"execution_count":98,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"s1sCl-oy60g8"},"source":["# 3. Convert"]},{"cell_type":"markdown","metadata":{"id":"SjNSKQ5ohKmV"},"source":["With our model trained, it's time to convert our graph to .tflite!"]},{"cell_type":"code","metadata":{"id":"5sc7_AUKbEJC","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615273859426,"user_tz":-540,"elapsed":12537,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"c722fd82-44a6-4e62-eeb3-69626ea415c1"},"source":["%ls /content/models/research/fine_tuned_model/tflite"],"execution_count":100,"outputs":[{"output_type":"stream","text":["tflite_graph.pb  tflite_graph.pbtxt\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3X1lSdrMuzq_","executionInfo":{"status":"ok","timestamp":1615273860892,"user_tz":-540,"elapsed":13989,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"9e8640d9-6626-4f5e-a4b3-5cec83f83c0d"},"source":["!sudo apt-get update\r\n","!sudo apt-get install bazel"],"execution_count":101,"outputs":[{"output_type":"stream","text":["Hit:1 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease\n","Ign:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n","Ign:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n","Hit:4 http://security.ubuntu.com/ubuntu bionic-security InRelease\n","Hit:5 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release\n","Hit:6 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release\n","Hit:9 http://archive.ubuntu.com/ubuntu bionic InRelease\n","Hit:10 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease\n","Hit:11 http://archive.ubuntu.com/ubuntu bionic-updates InRelease\n","Hit:12 http://archive.ubuntu.com/ubuntu bionic-backports InRelease\n","Hit:13 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n","Hit:14 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease\n","Hit:15 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n","Reading package lists... Done\n","Reading package lists... Done\n","Building dependency tree       \n","Reading state information... Done\n","E: Unable to locate package bazel\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ZJpqD7VqvEVF","executionInfo":{"status":"ok","timestamp":1615273861285,"user_tz":-540,"elapsed":14368,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"d5be42b7-b7dc-456b-f841-2fc5c0f660bf"},"source":["!bazel"],"execution_count":102,"outputs":[{"output_type":"stream","text":["/bin/bash: bazel: command not found\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"NH5_6_Cbd4W9","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615276692693,"user_tz":-540,"elapsed":5263,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"cfa9c69d-0385-48c3-8a10-74de9c76e984"},"source":["!tflite_convert \\\n","  --input_shape=1,300,300,3 \\\n","  --input_arrays=normalized_input_image_tensor \\\n","  --output_arrays=TFLite_Detection_PostProcess,TFLite_Detection_PostProcess:1,TFLite_Detection_PostProcess:2,TFLite_Detection_PostProcess:3 \\\n","  --allow_custom_ops \\\n","  --graph_def_file=/content/models/research/fine_tuned_model/tflite/tflite_graph.pb \\\n","  --output_file=\"/content/models/research/fine_tuned_model/final_model.tflite\" \\\n","  --inference_type=FLOAT \\\n","  --mean_values=128 \\\n","  --std_dev_values=128 \\"],"execution_count":120,"outputs":[{"output_type":"stream","text":["2021-03-09 07:58:30.191690: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n","2021-03-09 07:58:30.197314: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.197826: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:58:30.198147: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:58:30.199956: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:58:30.201735: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:58:30.202120: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:58:30.204057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:58:30.205234: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:58:30.209183: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:58:30.209303: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.209813: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.210273: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:58:30.215283: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199995000 Hz\n","2021-03-09 07:58:30.215461: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556a8121cbc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n","2021-03-09 07:58:30.215488: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n","2021-03-09 07:58:30.295331: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.295994: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556a8121db80 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n","2021-03-09 07:58:30.296029: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n","2021-03-09 07:58:30.296282: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.296803: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties: \n","name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59\n","pciBusID: 0000:00:04.0\n","2021-03-09 07:58:30.296858: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:58:30.296879: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n","2021-03-09 07:58:30.296900: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n","2021-03-09 07:58:30.296920: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n","2021-03-09 07:58:30.296944: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n","2021-03-09 07:58:30.296962: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n","2021-03-09 07:58:30.296981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n","2021-03-09 07:58:30.297045: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.297623: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.298082: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n","2021-03-09 07:58:30.298141: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n","2021-03-09 07:58:30.299059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n","2021-03-09 07:58:30.299085: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n","2021-03-09 07:58:30.299096: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n","2021-03-09 07:58:30.299189: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.299697: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2021-03-09 07:58:30.300198: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n","2021-03-09 07:58:30.300254: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 12105 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MsIQ-9zW7_mF","executionInfo":{"status":"ok","timestamp":1615276627083,"user_tz":-540,"elapsed":2595,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"c639c16f-e242-48b1-c66d-e2bfe66b00f8"},"source":["!tflite_convert --help"],"execution_count":119,"outputs":[{"output_type":"stream","text":["usage: tflite_convert [-h] --output_file OUTPUT_FILE\n","                      (--graph_def_file GRAPH_DEF_FILE | --saved_model_dir SAVED_MODEL_DIR | --keras_model_file KERAS_MODEL_FILE)\n","                      [--output_format {TFLITE,GRAPHVIZ_DOT}]\n","                      [--inference_type {FLOAT,QUANTIZED_UINT8}]\n","                      [--inference_input_type {FLOAT,QUANTIZED_UINT8}]\n","                      [--input_arrays INPUT_ARRAYS]\n","                      [--input_shapes INPUT_SHAPES]\n","                      [--output_arrays OUTPUT_ARRAYS]\n","                      [--saved_model_tag_set SAVED_MODEL_TAG_SET]\n","                      [--saved_model_signature_key SAVED_MODEL_SIGNATURE_KEY]\n","                      [--std_dev_values STD_DEV_VALUES]\n","                      [--mean_values MEAN_VALUES]\n","                      [--default_ranges_min DEFAULT_RANGES_MIN]\n","                      [--default_ranges_max DEFAULT_RANGES_MAX]\n","                      [--post_training_quantize] [--quantize_to_float16]\n","                      [--drop_control_dependency]\n","                      [--reorder_across_fake_quant]\n","                      [--change_concat_input_ranges {TRUE,FALSE}]\n","                      [--allow_custom_ops] [--target_ops TARGET_OPS]\n","                      [--dump_graphviz_dir DUMP_GRAPHVIZ_DIR]\n","                      [--dump_graphviz_video]\n","\n","Command line tool to run TensorFlow Lite Converter.\n","\n","optional arguments:\n","  -h, --help            show this help message and exit\n","  --output_file OUTPUT_FILE\n","                        Full filepath of the output file.\n","  --graph_def_file GRAPH_DEF_FILE\n","                        Full filepath of file containing frozen TensorFlow\n","                        GraphDef.\n","  --saved_model_dir SAVED_MODEL_DIR\n","                        Full filepath of directory containing the SavedModel.\n","  --keras_model_file KERAS_MODEL_FILE\n","                        Full filepath of HDF5 file containing tf.Keras model.\n","  --output_format {TFLITE,GRAPHVIZ_DOT}\n","                        Output file format.\n","  --inference_type {FLOAT,QUANTIZED_UINT8}\n","                        Target data type of real-number arrays in the output\n","                        file.\n","  --inference_input_type {FLOAT,QUANTIZED_UINT8}\n","                        Target data type of real-number input arrays. Allows\n","                        for a different type for input arrays in the case of\n","                        quantization.\n","  --input_arrays INPUT_ARRAYS\n","                        Names of the input arrays, comma-separated.\n","  --input_shapes INPUT_SHAPES\n","                        Shapes corresponding to --input_arrays, colon-\n","                        separated.\n","  --output_arrays OUTPUT_ARRAYS\n","                        Names of the output arrays, comma-separated.\n","  --saved_model_tag_set SAVED_MODEL_TAG_SET\n","                        Comma-separated set of tags identifying the\n","                        MetaGraphDef within the SavedModel to analyze. All\n","                        tags must be present. In order to pass in an empty tag\n","                        set, pass in \"\". (default \"serve\")\n","  --saved_model_signature_key SAVED_MODEL_SIGNATURE_KEY\n","                        Key identifying the SignatureDef containing inputs and\n","                        outputs. (default DEFAULT_SERVING_SIGNATURE_DEF_KEY)\n","  --std_dev_values STD_DEV_VALUES\n","                        Standard deviation of training data for each input\n","                        tensor, comma-separated floats. Used for quantized\n","                        input tensors. (default None)\n","  --mean_values MEAN_VALUES\n","                        Mean of training data for each input tensor, comma-\n","                        separated floats. Used for quantized input tensors.\n","                        (default None)\n","  --default_ranges_min DEFAULT_RANGES_MIN\n","                        Default value for min bound of min/max range values\n","                        used for all arrays without a specified range,\n","                        Intended for experimenting with quantization via\n","                        \"dummy quantization\". (default None)\n","  --default_ranges_max DEFAULT_RANGES_MAX\n","                        Default value for max bound of min/max range values\n","                        used for all arrays without a specified range,\n","                        Intended for experimenting with quantization via\n","                        \"dummy quantization\". (default None)\n","  --post_training_quantize\n","                        Boolean indicating whether to quantize the weights of\n","                        the converted float model. Model size will be reduced\n","                        and there will be latency improvements (at the cost of\n","                        accuracy). (default False)\n","  --quantize_to_float16\n","                        Boolean indicating whether to quantize weights to fp16\n","                        instead of the default int8 when post-training\n","                        quantization (--post_training_quantize) is enabled.\n","                        (default False)\n","  --drop_control_dependency\n","                        Boolean indicating whether to drop control\n","                        dependencies silently. This is due to TensorFlow not\n","                        supporting control dependencies. (default True)\n","  --reorder_across_fake_quant\n","                        Boolean indicating whether to reorder FakeQuant nodes\n","                        in unexpected locations. Used when the location of the\n","                        FakeQuant nodes is preventing graph transformations\n","                        necessary to convert the graph. Results in a graph\n","                        that differs from the quantized training graph,\n","                        potentially causing differing arithmetic behavior.\n","                        (default False)\n","  --change_concat_input_ranges {TRUE,FALSE}\n","                        Boolean to change behavior of min/max ranges for\n","                        inputs and outputs of the concat operator for\n","                        quantized models. Changes the ranges of concat\n","                        operator overlap when true. (default False)\n","  --allow_custom_ops    Boolean indicating whether to allow custom operations.\n","                        When false any unknown operation is an error. When\n","                        true, custom ops are created for any op that is\n","                        unknown. The developer will need to provide these to\n","                        the TensorFlow Lite runtime with a custom resolver.\n","                        (default False)\n","  --target_ops TARGET_OPS\n","                        Experimental flag, subject to change. Set of OpsSet\n","                        options indicating which converter to use. Options:\n","                        TFLITE_BUILTINS,SELECT_TF_OPS,TFLITE_BUILTINS_INT8.\n","                        One or more option may be specified. (default\n","                        set([OpsSet.TFLITE_BUILTINS]))\n","  --dump_graphviz_dir DUMP_GRAPHVIZ_DIR\n","                        Full filepath of folder to dump the graphs at various\n","                        stages of processing GraphViz .dot files. Preferred\n","                        over --output_format=GRAPHVIZ_DOT in order to keep the\n","                        requirements of the output file.\n","  --dump_graphviz_video\n","                        Boolean indicating whether to dump the graph after\n","                        every graph transformation\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"AnmVSicnA-bL","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1615275447398,"user_tz":-540,"elapsed":772,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"c0de1777-5f78-40a8-988c-0dd598a991d4"},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":114,"outputs":[{"output_type":"stream","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"BqL6A9mjBLKv","executionInfo":{"status":"ok","timestamp":1615273865828,"user_tz":-540,"elapsed":18885,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}}},"source":["# Change the final TFLite destination here\n","!cp /content/models/research/fine_tuned_model/final_model.tflite \"/content/drive/My Drive/\""],"execution_count":105,"outputs":[]},{"cell_type":"code","metadata":{"id":"u7vE5B1_1OuC"},"source":["/content/models/research/fine_tuned_model/final_model.tflite"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"pEpI6ltMor9s","colab":{"base_uri":"https://localhost:8080/","height":17},"executionInfo":{"status":"ok","timestamp":1615275451332,"user_tz":-540,"elapsed":1019,"user":{"displayName":"Jae Seong Lee","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiM2Q7iSIRBz0pEca4qZORF_53QbiN_8AqIJR3o_A=s64","userId":"06436196519488156658"}},"outputId":"825f1d5f-c1c7-4b9b-c8e5-43a8c0a4e408"},"source":["from google.colab import files\r\n","files.download('/content/models/research/fine_tuned_model/final_model.tflite')"],"execution_count":115,"outputs":[{"output_type":"display_data","data":{"application/javascript":["\n","    async function download(id, filename, size) {\n","      if (!google.colab.kernel.accessAllowed) {\n","        return;\n","      }\n","      const div = document.createElement('div');\n","      const label = document.createElement('label');\n","      label.textContent = `Downloading \"${filename}\": `;\n","      div.appendChild(label);\n","      const progress = document.createElement('progress');\n","      progress.max = size;\n","      div.appendChild(progress);\n","      document.body.appendChild(div);\n","\n","      const buffers = [];\n","      let downloaded = 0;\n","\n","      const channel = await google.colab.kernel.comms.open(id);\n","      // Send a message to notify the kernel that we're ready.\n","      channel.send({})\n","\n","      for await (const message of channel.messages) {\n","        // Send a message to notify the kernel that we're ready.\n","        channel.send({})\n","        if (message.buffers) {\n","          for (const buffer of message.buffers) {\n","            buffers.push(buffer);\n","            downloaded += buffer.byteLength;\n","            progress.value = downloaded;\n","          }\n","        }\n","      }\n","      const blob = new Blob(buffers, {type: 'application/binary'});\n","      const a = document.createElement('a');\n","      a.href = window.URL.createObjectURL(blob);\n","      a.download = filename;\n","      div.appendChild(a);\n","      a.click();\n","      div.remove();\n","    }\n","  "],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"application/javascript":["download(\"download_484cf888-6ebf-4d72-9d1b-2d6a785f0200\", \"final_model.tflite\", 18505068)"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"iQNrFbSCgQ6b"},"source":["Your TFLite file is now in your Drive as \"final_model.tflite\", ready to use with your project on-device! For specific device tutorials, check out the official TensorFlow Lite [Android Demo](https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/android), [iOS Demo](https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/ios), or [Raspberry Pi Demo](https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/raspberry_pi). [link text](https://)"]}]}