diff --git a/README.rst b/README.rst index cd875c48..e088b74f 100644 --- a/README.rst +++ b/README.rst @@ -51,163 +51,21 @@ Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can measure the full precision accuracy of each model, the quantized accuracy using the Hailo Emulator and measure the accuracy on the Hailo-8 device. Finally, you will be able to generate the Hailo Executable Format (HEF) binary file to speed-up development and generate high quality applications accelerated with Hailo-8. The Hailo Model Zoo also provides re-training instructions to train the models on custom datasets and models that were trained for specific use-cases on internal datasets. Models ------- +Hailo provides different pre-trained models in ONNX / TF formats and pre-compiled HEF (Hailo Executable Format) binary file to execute on the Hailo devices. -| Hailo provides different pre-trained models in ONNX / TF formats and pre-compiled HEF (Hailo Executable Format) binary file to execute on the Hailo-8 device. -| The models are divided to: +The models are divided to: +* Public models - which were trained on publicly available datasets. -* | PUBLIC MODELS - which were trained on publicly available datasets. + * For Hailo-8 - `Classification `_, `Object Detection `_, `Segmentation `_, `other tasks `_ - PUBLIC MODELS HAILO8 - Task Type + * For Hailo-8L - `Classification `_, `Object Detection `_, `Segmentation `_, `other tasks `_ - `PUBLIC MODELS_HAILO8 Classification `_ + * For Hailo-15H - `Classification `_, `Object Detection `_, `Segmentation `_, `other tasks `_ - `PUBLIC MODELS_HAILO8 Object_Detection `_ + * For Hailo-15M - `Classification `_, `Object Detection `_, `Segmentation `_, `other tasks `_ - `PUBLIC MODELS_HAILO8 Semantic_Segmentation `_ - `PUBLIC MODELS_HAILO8 Pose_Estimation `_ - - `PUBLIC MODELS_HAILO8 Single_Person_Pose_Estimation `_ - - `PUBLIC MODELS_HAILO8 Face_Detection `_ - - `PUBLIC MODELS_HAILO8 Instance_Segmentation `_ - - `PUBLIC MODELS_HAILO8 Depth_Estimation `_ - - `PUBLIC MODELS_HAILO8 Facial_Landmark_Detectio `_ - - `PUBLIC MODELS_HAILO8 Person_Re-ID `_ - - `PUBLIC MODELS_HAILO8 Super_Resolution `_ - - `PUBLIC MODELS_HAILO8 Face_Recognition `_ - - `PUBLIC MODELS_HAILO8 Person_Attribute `_ - - `PUBLIC MODELS_HAILO8 Face_Attribute `_ - - `PUBLIC MODELS_HAILO8 Zero-shot_Classification `_ - - `PUBLIC MODELS_HAILO8 Stereo_Depth_Estimation `_ - - `PUBLIC MODELS_HAILO8 Low_Light_Enhancement `_ - - `PUBLIC MODELS_HAILO8 Image_Denoising `_ - - `PUBLIC MODELS_HAILO8 Hand_Landmark detection `_ - - PUBLIC MODELS HAILO8L - Task Type - - `PUBLIC MODELS_HAILO8L Classification `_ - - `PUBLIC MODELS_HAILO8L Object_Detection `_ - - `PUBLIC MODELS_HAILO8L Semantic_Segmentation `_ - - `PUBLIC MODELS_HAILO8L Pose_Estimation `_ - - `PUBLIC MODELS_HAILO8L Single_Person_Pose_Estimation `_ - - `PUBLIC MODELS_HAILO8L Face_Detection `_ - - `PUBLIC MODELS_HAILO8L Instance_Segmentation `_ - - `PUBLIC MODELS_HAILO8L Depth_Estimation `_ - - `PUBLIC MODELS_HAILO8L Facial_Landmark_Detection `_ - - `PUBLIC MODELS_HAILO8L Person_Re-ID `_ - - `PUBLIC MODELS_HAILO8L Super_Resolution `_ - - `PUBLIC MODELS_HAILO8L Face_Recognition `_ - - `PUBLIC MODELS_HAILO8L Person_Attribute `_ - - `PUBLIC MODELS_HAILO8L Face_Attribute `_ - - `PUBLIC MODELS_HAILO8L Zero-shot_Classification `_ - - `PUBLIC MODELS_HAILO8L Low_Light_Enhancement `_ - - `PUBLIC MODELS_HAILO8L Image_Denoising `_ - - `PUBLIC MODELS_HAILO8L Hand_Landmark detection `_ - - PUBLIC MODELS HAILO15H - Task Type - - `PUBLIC MODELS_HAILO15H Classification `_ - - `PUBLIC MODELS_HAILO15H Object_Detection `_ - - `PUBLIC MODELS_HAILO15H Semantic_Segmentation `_ - - `PUBLIC MODELS_HAILO15H Pose_Estimation `_ - - `PUBLIC MODELS_HAILO15H Single_Person_Pose_Estimation `_ - - `PUBLIC MODELS_HAILO15H Face_Detection `_ - - `PUBLIC MODELS_HAILO15H Instance_Segmentation `_ - - `PUBLIC MODELS_HAILO15H Depth_Estimation `_ - - `PUBLIC MODELS_HAILO15H Facial_Landmark_Detection `_ - - `PUBLIC MODELS_HAILO15H Person_Re-ID `_ - - `PUBLIC MODELS_HAILO15H Super_Resolution `_ - - `PUBLIC MODELS_HAILO15H Face_Recognition `_ - - `PUBLIC MODELS_HAILO15H Person_Attribute `_ - - `PUBLIC MODELS_HAILO15H Face_Attribute `_ - - `PUBLIC MODELS_HAILO15H Low_Light_Enhancement `_ - - `PUBLIC MODELS_HAILO15H Image_Denoising `_ - - `PUBLIC MODELS_HAILO15H Hand_Landmark detection `_ - - PUBLIC MODELS HAILO15M - Task Type - - `PUBLIC MODELS_HAILO15M Classification `_ - - `PUBLIC MODELS_HAILO15M Object_Detection `_ - - `PUBLIC MODELS_HAILO15M Semantic_Segmentation `_ - - `PUBLIC MODELS_HAILO15M Pose_Estimation `_ - - `PUBLIC MODELS_HAILO15M Single_Person_Pose_Estimation `_ - - `PUBLIC MODELS_HAILO15M Face_Detection `_ - - `PUBLIC MODELS_HAILO15M Instance_Segmentation `_ - - `PUBLIC MODELS_HAILO15M Depth_Estimation `_ - - `PUBLIC MODELS_HAILO15M Facial_Landmark_Detection `_ - - `PUBLIC MODELS_HAILO15M Person_Re-ID `_ - - `PUBLIC MODELS_HAILO15M Super_Resolution `_ - - `PUBLIC MODELS_HAILO15M Face_Recognition `_ - - `PUBLIC MODELS_HAILO15M Person_Attribute `_ - - `PUBLIC MODELS_HAILO15M Face_Attribute `_ - - `PUBLIC MODELS_HAILO15M Low_Light_Enhancement `_ - - `PUBLIC MODELS_HAILO15M Image_Denoising `_ - - `PUBLIC MODELS_HAILO15M Hand_Landmark detection `_ * | `HAILO MODELS `_ which were trained in-house for specific use-cases on internal datasets. | Each Hailo Model is accompanied with retraining instructions. diff --git a/docs/PUBLIC_MODELS.rst b/docs/PUBLIC_MODELS.rst new file mode 100644 index 00000000..fc850264 --- /dev/null +++ b/docs/PUBLIC_MODELS.rst @@ -0,0 +1,106 @@ +Hailo provides different pre-trained models in ONNX / TF formats and pre-compiled HEF (Hailo Executable Format) binary file to execute on the Hailo devices. + +.. list-table:: + :widths: 31 9 7 11 9 + :header-rows: 1 + + * - Task Type + - Hailo-8 + - Hailo-8L + - Hailo-15H + - Hailo-15M + * - Classification + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Object Detection + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Semantic Segmentation + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Pose Estimation + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Single Person Pose Estimation + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Face Detection + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Instance Segmentation + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Depth Estimation + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Facial Landmark Detection + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Person Re-ID + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Super Resolution + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Face Recognition + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Person Attribute + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Face Attribute + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Zero-shot Classification + - `Link `_ + - `Link `_ + - NA + - NA + * - Stereo Depth Estimation + - `Link `_ + - NA + - NA + - NA + * - Low Light Enhancement + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Image Denoising + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ + * - Hand Landmark detection + - `Link `_ + - `Link `_ + - `Link `_ + - `Link `_ diff --git a/docs/PUBLIC_MODELS_HAILO15H.rst b/docs/PUBLIC_MODELS_HAILO15H.rst deleted file mode 100644 index caebff23..00000000 --- a/docs/PUBLIC_MODELS_HAILO15H.rst +++ /dev/null @@ -1,1703 +0,0 @@ - -Public Pre-Trained Models -========================= - -.. |rocket| image:: images/rocket.png - :width: 18 - -.. |star| image:: images/star.png - :width: 18 - -Here, we give the full list of publicly pre-trained models supported by the Hailo Model Zoo. - -* Network available in `Hailo Benchmark `_ are marked with |rocket| -* Networks available in `TAPPAS `_ are marked with |star| -* Benchmark, TAPPAS and Recommended networks run in performance mode -* All models were compiled using Hailo Dataflow Compiler v3.26.0 -* Supported tasks: - - * `Classification`_ - * `Object Detection`_ - * `Semantic Segmentation`_ - * `Pose Estimation`_ - * `Single Person Pose Estimation`_ - * `Face Detection`_ - * `Instance Segmentation`_ - * `Depth Estimation`_ - * `Facial Landmark Detection`_ - * `Person Re-ID`_ - * `Super Resolution`_ - * `Face Recognition`_ - * `Person Attribute`_ - * `Face Attribute`_ - * `Low Light Enhancement`_ - * `Image Denoising`_ - * `Hand Landmark detection`_ - - -.. _Classification: - -Classification --------------- - -ImageNet -^^^^^^^^ - -.. list-table:: - :widths: 31 9 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Accuracy (top1) - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - efficientnet_l - - 80.46 - - 79.36 - - 300x300x3 - - 10.55 - - 19.4 - - `download `_ - - `link `_ - - `download `_ - - 84.6289 - - 166.522 - * - efficientnet_lite4 - - 80.79 - - 79.99 - - 300x300x3 - - 12.95 - - 5.10 - - `download `_ - - `link `_ - - `download `_ - - 98.9888 - - 250.144 - * - efficientnet_m |rocket| - - 78.91 - - 78.63 - - 240x240x3 - - 6.87 - - 7.32 - - `download `_ - - `link `_ - - `download `_ - - 175.255 - - 432.658 - * - hardnet39ds - - 73.43 - - 72.92 - - 224x224x3 - - 3.48 - - 0.86 - - `download `_ - - `link `_ - - `download `_ - - 356.246 - - 1172.24 - * - hardnet68 - - 75.47 - - 75.04 - - 224x224x3 - - 17.56 - - 8.5 - - `download `_ - - `link `_ - - `download `_ - - 151.079 - - 366.497 - * - inception_v1 - - 69.74 - - 69.54 - - 224x224x3 - - 6.62 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 349.062 - - 844.278 - * - mobilenet_v1 - - 70.97 - - 70.26 - - 224x224x3 - - 4.22 - - 1.14 - - `download `_ - - `link `_ - - `download `_ - - 2875.15 - - 2875.15 - * - mobilenet_v2_1.0 |rocket| - - 71.78 - - 71.0 - - 224x224x3 - - 3.49 - - 0.62 - - `download `_ - - `link `_ - - `download `_ - - 1149.92 - - 1149.92 - * - mobilenet_v2_1.4 - - 74.18 - - 73.18 - - 224x224x3 - - 6.09 - - 1.18 - - `download `_ - - `link `_ - - `download `_ - - 580.225 - - 580.225 - * - mobilenet_v3 - - 72.21 - - 71.73 - - 224x224x3 - - 4.07 - - 2 - - `download `_ - - `link `_ - - `download `_ - - 378.245 - - 1207.87 - * - mobilenet_v3_large_minimalistic - - 72.11 - - 70.96 - - 224x224x3 - - 3.91 - - 0.42 - - `download `_ - - `link `_ - - `download `_ - - 2598.06 - - 2598.06 - * - regnetx_1.6gf - - 77.05 - - 76.75 - - 224x224x3 - - 9.17 - - 3.22 - - `download `_ - - `link `_ - - `download `_ - - 370.973 - - 1124.24 - * - regnetx_800mf - - 75.16 - - 74.84 - - 224x224x3 - - 7.24 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 2558.81 - - 2558.81 - * - repvgg_a1 - - 74.4 - - 72.4 - - 224x224x3 - - 12.79 - - 4.7 - - `download `_ - - `link `_ - - `download `_ - - 1783.68 - - 1783.68 - * - repvgg_a2 - - 76.52 - - 74.52 - - 224x224x3 - - 25.5 - - 10.2 - - `download `_ - - `link `_ - - `download `_ - - 245.973 - - 522.845 - * - resmlp12_relu - - 75.26 - - 74.32 - - 224x224x3 - - 15.77 - - 6.04 - - `download `_ - - `link `_ - - `download `_ - - 85.1754 - - 304.697 - * - resnet_v1_18 - - 71.26 - - 71.06 - - 224x224x3 - - 11.68 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 1944.85 - - 1944.85 - * - resnet_v1_34 - - 72.7 - - 72.14 - - 224x224x3 - - 21.79 - - 7.34 - - `download `_ - - `link `_ - - `download `_ - - 251.433 - - 658.841 - * - resnet_v1_50 |rocket| |star| - - 75.12 - - 74.47 - - 224x224x3 - - 25.53 - - 6.98 - - `download `_ - - `link `_ - - `download `_ - - 248.98 - - 817.34 - * - resnext26_32x4d - - 76.18 - - 75.78 - - 224x224x3 - - 15.37 - - 4.96 - - `download `_ - - `link `_ - - `download `_ - - 352.687 - - 821.714 - * - resnext50_32x4d - - 79.31 - - 78.21 - - 224x224x3 - - 24.99 - - 8.48 - - `download `_ - - `link `_ - - `download `_ - - 192.253 - - 480.675 - * - squeezenet_v1.1 - - 59.85 - - 59.4 - - 224x224x3 - - 1.24 - - 0.78 - - `download `_ - - `link `_ - - `download `_ - - 3327.82 - - 3327.82 - * - vit_base_bn - - 79.98 - - 78.58 - - 224x224x3 - - 86.5 - - 34.25 - - `download `_ - - `link `_ - - `download `_ - - 52.905 - - 148.347 - * - vit_small_bn - - 78.12 - - 77.02 - - 224x224x3 - - 21.12 - - 8.62 - - `download `_ - - `link `_ - - `download `_ - - 115.172 - - 418.135 - * - vit_tiny_bn - - 68.95 - - 66.75 - - 224x224x3 - - 5.73 - - 2.2 - - `download `_ - - `link `_ - - `download `_ - - 195.616 - - 801.37 - -.. _Object Detection: - -Object Detection ----------------- - -COCO -^^^^ - -.. list-table:: - :widths: 33 8 7 12 8 8 8 7 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centernet_resnet_v1_18_postprocess - - 26.3 - - 23.31 - - 512x512x3 - - 14.22 - - 31.21 - - `download `_ - - `link `_ - - `download `_ - - 121.699 - - 199.138 - * - centernet_resnet_v1_50_postprocess - - 31.78 - - 29.23 - - 512x512x3 - - 30.07 - - 56.92 - - `download `_ - - `link `_ - - `download `_ - - 80.3504 - - 124.306 - * - damoyolo_tinynasL20_T - - 42.8 - - 41.7 - - 640x640x3 - - 11.35 - - 18.02 - - `download `_ - - `link `_ - - `download `_ - - 142.061 - - 283.447 - * - damoyolo_tinynasL25_S - - 46.53 - - 46.04 - - 640x640x3 - - 16.25 - - 37.64 - - `download `_ - - `link `_ - - `download `_ - - 82.9805 - - 150.72 - * - damoyolo_tinynasL35_M - - 49.7 - - 47.9 - - 640x640x3 - - 33.98 - - 61.64 - - `download `_ - - `link `_ - - `download `_ - - 56.0805 - - 104.66 - * - detr_resnet_v1_18_bn - - 33.91 - - 30.36 - - 800x800x3 - - 32.42 - - 58.97 - - `download `_ - - `link `_ - - `download `_ - - 23.815 - - 46.5381 - * - nanodet_repvgg |star| - - 29.3 - - 28.53 - - 416x416x3 - - 6.74 - - 11.28 - - `download `_ - - `link `_ - - `download `_ - - 738.252 - - 738.252 - * - nanodet_repvgg_a12 - - 33.73 - - 31.33 - - 640x640x3 - - 5.13 - - 28.23 - - `download `_ - - `link `_ - - `download `_ - - 156.324 - - 255.834 - * - nanodet_repvgg_a1_640 - - 33.28 - - 32.88 - - 640x640x3 - - 10.79 - - 42.8 - - `download `_ - - `link `_ - - `download `_ - - 197.231 - - 197.231 - * - ssd_mobilenet_v1 |rocket| |star| - - 23.19 - - 22.29 - - 300x300x3 - - 6.79 - - 2.5 - - `download `_ - - `link `_ - - `download `_ - - 1123.47 - - 1123.62 - * - ssd_mobilenet_v2 - - 24.15 - - 22.94 - - 300x300x3 - - 4.46 - - 1.52 - - `download `_ - - `link `_ - - `download `_ - - 180.893 - - 372.195 - * - tiny_yolov3 - - 14.66 - - 14.41 - - 416x416x3 - - 8.85 - - 5.58 - - `download `_ - - `link `_ - - `download `_ - - 1046.5 - - 1046.5 - * - tiny_yolov4 - - 19.18 - - 17.73 - - 416x416x3 - - 6.05 - - 6.92 - - `download `_ - - `link `_ - - `download `_ - - 907.697 - - 907.697 - * - yolov3 |star| - - 38.42 - - 38.37 - - 608x608x3 - - 68.79 - - 158.10 - - `download `_ - - `link `_ - - `download `_ - - 33.9913 - - 45.0514 - * - yolov3_416 - - 37.73 - - 37.53 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 50.8084 - - 79.9575 - * - yolov3_gluon |rocket| |star| - - 37.28 - - 35.64 - - 608x608x3 - - 68.79 - - 158.1 - - `download `_ - - `link `_ - - `download `_ - - 33.2606 - - 45.0436 - * - yolov3_gluon_416 |star| - - 36.27 - - 34.92 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 60.0707 - - 114.062 - * - yolov4_leaky |star| - - 42.37 - - 41.08 - - 512x512x3 - - 64.33 - - 91.04 - - `download `_ - - `link `_ - - `download `_ - - 44.5305 - - 68.2979 - * - yolov5m - - 42.59 - - 41.19 - - 640x640x3 - - 21.78 - - 52.17 - - `download `_ - - `link `_ - - `download `_ - - 76.0775 - - 123.094 - * - yolov5m6_6.1 - - 50.67 - - 48.97 - - 1280x1280x3 - - 35.70 - - 200.04 - - `download `_ - - `link `_ - - `download `_ - - 24.7172 - - 32.6838 - * - yolov5m_6.1 - - 44.8 - - 43.36 - - 640x640x3 - - 21.17 - - 48.96 - - `download `_ - - `link `_ - - `download `_ - - 78.6189 - - 125.754 - * - yolov5m_wo_spp |rocket| - - 43.06 - - 40.76 - - 640x640x3 - - 22.67 - - 52.88 - - `download `_ - - `link `_ - - `download `_ - - 90.4388 - - 147.557 - * - yolov5s |star| - - 35.33 - - 33.98 - - 640x640x3 - - 7.46 - - 17.44 - - `download `_ - - `link `_ - - `download `_ - - 158.054 - - 275.213 - * - yolov5s_c3tr - - 37.13 - - 35.63 - - 640x640x3 - - 10.29 - - 17.02 - - `download `_ - - `link `_ - - `download `_ - - 126.247 - - 253.666 - * - yolov5xs_wo_spp - - 33.18 - - 32.2 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 239.945 - - 475.362 - * - yolov5xs_wo_spp_nms_core - - 32.57 - - 31.06 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 239.95 - - 239.95 - * - yolov6n - - 34.28 - - 32.18 - - 640x640x3 - - 4.32 - - 11.12 - - `download `_ - - `link `_ - - `download `_ - - 228.947 - - 452.785 - * - yolov6n_0.2.1 - - 35.16 - - 33.66 - - 640x640x3 - - 4.33 - - 11.06 - - `download `_ - - `link `_ - - `download `_ - - 242.407 - - 505.88 - * - yolov7 - - 50.59 - - 47.89 - - 640x640x3 - - 36.91 - - 104.51 - - `download `_ - - `link `_ - - `download `_ - - 43.2622 - - 62.5084 - * - yolov7_tiny - - 37.07 - - 35.97 - - 640x640x3 - - 6.22 - - 13.74 - - `download `_ - - `link `_ - - `download `_ - - 170.697 - - 296.923 - * - yolov7e6 - - 55.37 - - 53.47 - - 1280x1280x3 - - 97.20 - - 515.12 - - `download `_ - - `link `_ - - `download `_ - - 9.17825 - - 9.17825 - * - yolov8l - - 52.44 - - 51.78 - - 640x640x3 - - 43.7 - - 165.3 - - `download `_ - - `link `_ - - `download `_ - - 26.9025 - - 39.9644 - * - yolov8m - - 49.91 - - 49.11 - - 640x640x3 - - 25.9 - - 78.93 - - `download `_ - - `link `_ - - `download `_ - - 53.0796 - - 87.9441 - * - yolov8n - - 37.02 - - 36.32 - - 640x640x3 - - 3.2 - - 8.74 - - `download `_ - - `link `_ - - `download `_ - - 215.045 - - 452.741 - * - yolov8s - - 44.58 - - 43.98 - - 640x640x3 - - 11.2 - - 28.6 - - `download `_ - - `link `_ - - `download `_ - - 113.704 - - 202.772 - * - yolov8x - - 53.45 - - 52.75 - - 640x640x3 - - 68.2 - - 258 - - `download `_ - - `link `_ - - `download `_ - - 18.5412 - - 25.4315 - * - yolox_l_leaky |star| - - 48.69 - - 46.71 - - 640x640x3 - - 54.17 - - 155.3 - - `download `_ - - `link `_ - - `download `_ - - 29.9008 - - 42.1534 - * - yolox_s_leaky - - 38.12 - - 37.27 - - 640x640x3 - - 8.96 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 127.238 - - 207.861 - * - yolox_s_wide_leaky - - 42.4 - - 40.97 - - 640x640x3 - - 20.12 - - 59.46 - - `download `_ - - `link `_ - - `download `_ - - 77.0694 - - 111.198 - * - yolox_tiny - - 32.64 - - 31.39 - - 416x416x3 - - 5.05 - - 6.44 - - `download `_ - - `link `_ - - `download `_ - - 257.942 - - 564.028 - -VisDrone -^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - ssd_mobilenet_v1_visdrone |star| - - 2.37 - - 2.22 - - 300x300x3 - - 5.64 - - 2.3 - - `download `_ - - `link `_ - - `download `_ - - 319.08 - - 814.14 - -.. _Semantic Segmentation: - -Semantic Segmentation ---------------------- - -Cityscapes -^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fcn8_resnet_v1_18 |star| - - 69.41 - - 69.21 - - 1024x1920x3 - - 11.20 - - 142.82 - - `download `_ - - `link `_ - - `download `_ - - 24.8146 - - 28.8987 - * - stdc1 |rocket| - - 74.57 - - 73.92 - - 1024x1920x3 - - 8.27 - - 126.47 - - `download `_ - - `link `_ - - `download `_ - - 13.63 - - 26.89 - -Oxford-IIIT Pet -^^^^^^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - unet_mobilenet_v2 - - 77.32 - - 77.02 - - 256x256x3 - - 10.08 - - 28.88 - - `download `_ - - `link `_ - - `download `_ - - 206.162 - - 390.466 - -Pascal VOC -^^^^^^^^^^ - -.. list-table:: - :widths: 36 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - deeplab_v3_mobilenet_v2 - - 76.05 - - 74.8 - - 513x513x3 - - 2.10 - - 17.65 - - `download `_ - - `link `_ - - `download `_ - - 61.0695 - - 94.4568 - * - deeplab_v3_mobilenet_v2_wo_dilation - - 71.46 - - 71.26 - - 513x513x3 - - 2.10 - - 3.21 - - `download `_ - - `link `_ - - `download `_ - - 97.4441 - - 189.921 - -.. _Pose Estimation: - -Pose Estimation ---------------- - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centerpose_regnetx_1.6gf_fpn |star| - - 53.54 - - 52.84 - - 640x640x3 - - 14.28 - - 64.58 - - `download `_ - - `link `_ - - `download `_ - - 61.9846 - - 94.4347 - * - centerpose_regnetx_800mf - - 44.07 - - 42.97 - - 512x512x3 - - 12.31 - - 86.12 - - `download `_ - - `link `_ - - `download `_ - - 82.4346 - - 120.143 - * - centerpose_repvgg_a0 |star| - - 39.17 - - 37.17 - - 416x416x3 - - 11.71 - - 28.27 - - `download `_ - - `link `_ - - `download `_ - - 137.609 - - 242.58 - -.. _Single Person Pose Estimation: - -Single Person Pose Estimation ------------------------------ - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - mspn_regnetx_800mf |star| - - 70.8 - - 70.3 - - 256x192x3 - - 7.17 - - 2.94 - - `download `_ - - `link `_ - - `download `_ - - 313.703 - - 789.441 - * - vit_pose_small - - 74.16 - - 71.6 - - 256x192x3 - - 24.29 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 31.9975 - - 135.983 - * - vit_pose_small_bn - - 72.01 - - 70.81 - - 256x192x3 - - 24.32 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 92.4463 - - 298.863 - -.. _Face Detection: - -Face Detection --------------- - -WiderFace -^^^^^^^^^ - -.. list-table:: - :widths: 24 7 12 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - lightface_slim |star| - - 39.7 - - 39.22 - - 240x320x3 - - 0.26 - - 0.16 - - `download `_ - - `link `_ - - `download `_ - - 3968.94 - - 3968.94 - * - retinaface_mobilenet_v1 |star| - - 81.27 - - 81.17 - - 736x1280x3 - - 3.49 - - 25.14 - - `download `_ - - `link `_ - - `download `_ - - 73.4203 - - 104.099 - * - scrfd_10g - - 82.13 - - 82.03 - - 640x640x3 - - 4.23 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 128.785 - - 215.146 - * - scrfd_2.5g - - 76.59 - - 76.32 - - 640x640x3 - - 0.82 - - 6.88 - - `download `_ - - `link `_ - - `download `_ - - 312.464 - - 549.501 - * - scrfd_500m - - 68.98 - - 68.88 - - 640x640x3 - - 0.63 - - 1.5 - - `download `_ - - `link `_ - - `download `_ - - 331.106 - - 601.805 - -.. _Instance Segmentation: - -Instance Segmentation ---------------------- - -COCO -^^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - yolact_regnetx_1.6gf - - 27.57 - - 27.27 - - 512x512x3 - - 30.09 - - 125.34 - - `download `_ - - `link `_ - - `download `_ - - 46.7838 - - 70.2961 - * - yolact_regnetx_800mf - - 25.61 - - 25.5 - - 512x512x3 - - 28.3 - - 116.75 - - `download `_ - - `link `_ - - `download `_ - - 57.6 - - 84.9004 - * - yolov5l_seg - - 39.78 - - 39.09 - - 640x640x3 - - 47.89 - - 147.88 - - `download `_ - - `link `_ - - `download `_ - - 33.0779 - - 46.4715 - * - yolov5m_seg - - 37.05 - - 36.32 - - 640x640x3 - - 32.60 - - 70.94 - - `download `_ - - `link `_ - - `download `_ - - 62.4293 - - 94.3386 - * - yolov5n_seg |star| - - 23.35 - - 22.75 - - 640x640x3 - - 1.99 - - 7.1 - - `download `_ - - `link `_ - - `download `_ - - 174.461 - - 175.657 - * - yolov5s_seg - - 31.57 - - 30.49 - - 640x640x3 - - 7.61 - - 26.42 - - `download `_ - - `link `_ - - `download `_ - - 116.583 - - 161.778 - * - yolov8m_seg - - 40.6 - - 39.88 - - 640x640x3 - - 27.3 - - 110.2 - - `download `_ - - `link `_ - - `download `_ - - 42.0778 - - 66.1054 - * - yolov8n_seg - - 30.32 - - 29.68 - - 640x640x3 - - 3.4 - - 12.04 - - `download `_ - - `link `_ - - `download `_ - - 182.371 - - 452.741 - * - yolov8s_seg - - 36.63 - - 36.03 - - 640x640x3 - - 11.8 - - 42.6 - - `download `_ - - `link `_ - - `download `_ - - 88.1516 - - 149.641 - -.. _Depth Estimation: - -Depth Estimation ----------------- - -NYU -^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - RMSE - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fast_depth |star| - - 0.6 - - 0.62 - - 224x224x3 - - 1.35 - - 0.74 - - `download `_ - - `link `_ - - `download `_ - - 1334.6 - - 1334.6 - * - scdepthv3 - - 0.48 - - 0.51 - - 256x320x3 - - 14.8 - - 10.7 - - `download `_ - - `link `_ - - `download `_ - - 194.529 - - 399.198 - -.. _Facial Landmark Detection: - -Facial Landmark Detection -------------------------- - -AFLW2k3d -^^^^^^^^ - -.. list-table:: - :widths: 28 8 8 16 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - NME - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - tddfa_mobilenet_v1 |star| - - 3.68 - - 4.05 - - 120x120x3 - - 3.26 - - 0.36 - - `download `_ - - `link `_ - - `download `_ - - 8939.84 - - 8939.84 - -.. _Person Re-ID: - -Person Re-ID ------------- - -Market1501 -^^^^^^^^^^ - -.. list-table:: - :widths: 28 8 9 13 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - rank1 - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - osnet_x1_0 - - 94.43 - - 93.63 - - 256x128x3 - - 2.19 - - 1.98 - - `download `_ - - `link `_ - - `download `_ - - 161.073 - - 391.232 - * - repvgg_a0_person_reid_512 |star| - - 89.9 - - 89.3 - - 256x128x3 - - 7.68 - - 1.78 - - `download `_ - - `link `_ - - `download `_ - - 5082.74 - - 5082.74 - -.. _Super Resolution: - -Super Resolution ----------------- - -BSD100 -^^^^^^ - -.. list-table:: - :widths: 32 8 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - espcn_x2 - - 31.4 - - 30.3 - - 156x240x1 - - 0.02 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 1637.76 - - 1637.76 - * - espcn_x3 - - 28.41 - - 28.06 - - 104x160x1 - - 0.02 - - 0.76 - - `download `_ - - `link `_ - - `download `_ - - 1917.92 - - 1917.92 - * - espcn_x4 - - 26.83 - - 26.58 - - 78x120x1 - - 0.02 - - 0.46 - - `download `_ - - `link `_ - - `download `_ - - 1893.66 - - 1893.66 - -.. _Face Recognition: - -Face Recognition ----------------- - -LFW -^^^ - -.. list-table:: - :widths: 12 7 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - lfw verification accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - arcface_mobilefacenet - - 99.43 - - 99.41 - - 112x112x3 - - 2.04 - - 0.88 - - `download `_ - - `link `_ - - `download `_ - - 1924.66 - - 1924.66 - * - arcface_r50 - - 99.72 - - 99.71 - - 112x112x3 - - 31.0 - - 12.6 - - `download `_ - - `link `_ - - `download `_ - - 154.533 - - 381.773 - -.. _Person Attribute: - -Person Attribute ----------------- - -PETA -^^^^ - -.. list-table:: - :widths: 24 14 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - person_attr_resnet_v1_18 - - 82.5 - - 82.61 - - 224x224x3 - - 11.19 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 1944.9 - - 1944.9 - -.. _Face Attribute: - -Face Attribute --------------- - -CELEBA -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - face_attr_resnet_v1_18 - - 81.19 - - 81.09 - - 218x178x3 - - 11.74 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 1871.21 - - 1871.21 - -.. _Low Light Enhancement: - -Low Light Enhancement ---------------------- - -LOL -^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - zero_dce - - 16.23 - - 16.24 - - 400x600x3 - - 0.21 - - 38.2 - - `download `_ - - `link `_ - - `download `_ - - 69.8101 - - 69.8101 - * - zero_dce_pp - - 15.95 - - 15.82 - - 400x600x3 - - 0.02 - - 4.84 - - `download `_ - - `link `_ - - `download `_ - - 29.6328 - - 29.6328 - -.. _Image Denoising: - -Image Denoising ---------------- - -BSD68 -^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn3 - - 31.46 - - 31.26 - - 321x481x1 - - 0.66 - - 205.26 - - `download `_ - - `link `_ - - `download `_ - - 44.813 - - 44.813 - -CBSD68 -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn_color_blind - - 33.87 - - 32.97 - - 321x481x3 - - 0.66 - - 205.97 - - `download `_ - - `link `_ - - `download `_ - - 44.8138 - - 44.8138 - -.. _Hand Landmark detection: - -Hand Landmark detection ------------------------ - -Hand Landmark -^^^^^^^^^^^^^ - -.. list-table:: - :header-rows: 1 - - * - Network Name - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - hand_landmark_lite - - 224x224x3 - - 1.01 - - 0.3 - - `download `_ - - `link `_ - - `download `_ - - 1,340.45 - - 1,340.45 diff --git a/docs/PUBLIC_MODELS_HAILO15M.rst b/docs/PUBLIC_MODELS_HAILO15M.rst deleted file mode 100644 index ca4e2e1f..00000000 --- a/docs/PUBLIC_MODELS_HAILO15M.rst +++ /dev/null @@ -1,1703 +0,0 @@ - -Public Pre-Trained Models -========================= - -.. |rocket| image:: images/rocket.png - :width: 18 - -.. |star| image:: images/star.png - :width: 18 - -Here, we give the full list of publicly pre-trained models supported by the Hailo Model Zoo. - -* Network available in `Hailo Benchmark `_ are marked with |rocket| -* Networks available in `TAPPAS `_ are marked with |star| -* Benchmark, TAPPAS and Recommended networks run in performance mode -* All models were compiled using Hailo Dataflow Compiler v3.26.0 -* Supported tasks: - - * `Classification`_ - * `Object Detection`_ - * `Semantic Segmentation`_ - * `Pose Estimation`_ - * `Single Person Pose Estimation`_ - * `Face Detection`_ - * `Instance Segmentation`_ - * `Depth Estimation`_ - * `Facial Landmark Detection`_ - * `Person Re-ID`_ - * `Super Resolution`_ - * `Face Recognition`_ - * `Person Attribute`_ - * `Face Attribute`_ - * `Low Light Enhancement`_ - * `Image Denoising`_ - * `Hand Landmark detection`_ - - -.. _Classification: - -Classification --------------- - -ImageNet -^^^^^^^^ - -.. list-table:: - :widths: 31 9 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Accuracy (top1) - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - efficientnet_l - - 80.46 - - 79.36 - - 300x300x3 - - 10.55 - - 19.4 - - `download `_ - - `link `_ - - `download `_ - - 57.9951 - - 98.1713 - * - efficientnet_lite4 - - 80.79 - - 79.99 - - 300x300x3 - - 12.95 - - 5.10 - - `download `_ - - `link `_ - - `download `_ - - 73.7215 - - 151.255 - * - efficientnet_m |rocket| - - 78.91 - - 78.63 - - 240x240x3 - - 6.87 - - 7.32 - - `download `_ - - `link `_ - - `download `_ - - 127.623 - - 253.787 - * - hardnet39ds - - 73.43 - - 72.92 - - 224x224x3 - - 3.48 - - 0.86 - - `download `_ - - `link `_ - - `download `_ - - 282.524 - - 794.832 - * - hardnet68 - - 75.47 - - 75.04 - - 224x224x3 - - 17.56 - - 8.5 - - `download `_ - - `link `_ - - `download `_ - - 124.168 - - 258.157 - * - inception_v1 - - 69.74 - - 69.54 - - 224x224x3 - - 6.62 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 237.247 - - 522.84 - * - mobilenet_v1 - - 70.97 - - 70.26 - - 224x224x3 - - 4.22 - - 1.14 - - `download `_ - - `link `_ - - `download `_ - - 1427.43 - - 1427.4 - * - mobilenet_v2_1.0 |rocket| - - 71.78 - - 71.0 - - 224x224x3 - - 3.49 - - 0.62 - - `download `_ - - `link `_ - - `download `_ - - 351.244 - - 821.737 - * - mobilenet_v2_1.4 - - 74.18 - - 73.18 - - 224x224x3 - - 6.09 - - 1.18 - - `download `_ - - `link `_ - - `download `_ - - 268.706 - - 638.46 - * - mobilenet_v3 - - 72.21 - - 71.73 - - 224x224x3 - - 4.07 - - 2 - - `download `_ - - `link `_ - - `download `_ - - 324.885 - - 778.084 - * - mobilenet_v3_large_minimalistic - - 72.11 - - 70.96 - - 224x224x3 - - 3.91 - - 0.42 - - `download `_ - - `link `_ - - `download `_ - - 447.24 - - 1248.59 - * - regnetx_1.6gf - - 77.05 - - 76.75 - - 224x224x3 - - 9.17 - - 3.22 - - `download `_ - - `link `_ - - `download `_ - - 303.337 - - 775.166 - * - regnetx_800mf - - 75.16 - - 74.84 - - 224x224x3 - - 7.24 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 413.96 - - 1107.48 - * - repvgg_a1 - - 74.4 - - 72.4 - - 224x224x3 - - 12.79 - - 4.7 - - `download `_ - - `link `_ - - `download `_ - - 321.519 - - 719.195 - * - repvgg_a2 - - 76.52 - - 74.52 - - 224x224x3 - - 25.5 - - 10.2 - - `download `_ - - `link `_ - - `download `_ - - 177.889 - - 322.874 - * - resmlp12_relu - - 75.26 - - 74.32 - - 224x224x3 - - 15.77 - - 6.04 - - `download `_ - - `link `_ - - `download `_ - - 87.3561 - - 308.33 - * - resnet_v1_18 - - 71.26 - - 71.06 - - 224x224x3 - - 11.68 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 364.787 - - 846.451 - * - resnet_v1_34 - - 72.7 - - 72.14 - - 224x224x3 - - 21.79 - - 7.34 - - `download `_ - - `link `_ - - `download `_ - - 184.44 - - 390.499 - * - resnet_v1_50 |rocket| |star| - - 75.12 - - 74.47 - - 224x224x3 - - 25.53 - - 6.98 - - `download `_ - - `link `_ - - `download `_ - - 224.794 - - 565.76 - * - resnext26_32x4d - - 76.18 - - 75.78 - - 224x224x3 - - 15.37 - - 4.96 - - `download `_ - - `link `_ - - `download `_ - - 245.252 - - 500.296 - * - resnext50_32x4d - - 79.31 - - 78.21 - - 224x224x3 - - 24.99 - - 8.48 - - `download `_ - - `link `_ - - `download `_ - - 142.988 - - 311.237 - * - squeezenet_v1.1 - - 59.85 - - 59.4 - - 224x224x3 - - 1.24 - - 0.78 - - `download `_ - - `link `_ - - `download `_ - - 651.115 - - 1276.19 - * - vit_base_bn - - 79.98 - - 78.58 - - 224x224x3 - - 86.5 - - 34.25 - - `download `_ - - `link `_ - - `download `_ - - 42.9047 - - 101.898 - * - vit_small_bn - - 78.12 - - 77.02 - - 224x224x3 - - 21.12 - - 8.62 - - `download `_ - - `link `_ - - `download `_ - - 93.3559 - - 267.595 - * - vit_tiny_bn - - 68.95 - - 66.75 - - 224x224x3 - - 5.73 - - 2.2 - - `download `_ - - `link `_ - - `download `_ - - 154.715 - - 556.287 - -.. _Object Detection: - -Object Detection ----------------- - -COCO -^^^^ - -.. list-table:: - :widths: 33 8 7 12 8 8 8 7 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centernet_resnet_v1_18_postprocess - - 26.3 - - 23.31 - - 512x512x3 - - 14.22 - - 31.21 - - `download `_ - - `link `_ - - `download `_ - - 86.5256 - - 116.281 - * - centernet_resnet_v1_50_postprocess - - 31.78 - - 29.23 - - 512x512x3 - - 30.07 - - 56.92 - - `download `_ - - `link `_ - - `download `_ - - 53.3531 - - 71.9656 - * - damoyolo_tinynasL20_T - - 42.8 - - 41.7 - - 640x640x3 - - 11.35 - - 18.02 - - `download `_ - - `link `_ - - `download `_ - - 100.067 - - 169.343 - * - damoyolo_tinynasL25_S - - 46.53 - - 46.04 - - 640x640x3 - - 16.25 - - 37.64 - - `download `_ - - `link `_ - - `download `_ - - 60.8048 - - 97.3912 - * - damoyolo_tinynasL35_M - - 49.7 - - 47.9 - - 640x640x3 - - 33.98 - - 61.64 - - `download `_ - - `link `_ - - `download `_ - - 40.5352 - - 63.23 - * - detr_resnet_v1_18_bn - - 33.91 - - 30.36 - - 800x800x3 - - 32.42 - - 58.97 - - `download `_ - - `link `_ - - `download `_ - - 18.9067 - - 30.5393 - * - nanodet_repvgg |star| - - 29.3 - - 28.53 - - 416x416x3 - - 6.74 - - 11.28 - - `download `_ - - `link `_ - - `download `_ - - 192.699 - - 311.163 - * - nanodet_repvgg_a12 - - 33.73 - - 31.33 - - 640x640x3 - - 5.13 - - 28.23 - - `download `_ - - `link `_ - - `download `_ - - 109.333 - - 159.891 - * - nanodet_repvgg_a1_640 - - 33.28 - - 32.88 - - 640x640x3 - - 10.79 - - 42.8 - - `download `_ - - `link `_ - - `download `_ - - 85.5934 - - 117.759 - * - ssd_mobilenet_v1 |rocket| |star| - - 23.19 - - 22.29 - - 300x300x3 - - 6.79 - - 2.5 - - `download `_ - - `link `_ - - `download `_ - - 182.389 - - 354.052 - * - ssd_mobilenet_v2 - - 24.15 - - 22.94 - - 300x300x3 - - 4.46 - - 1.52 - - `download `_ - - `link `_ - - `download `_ - - 136.849 - - 257.357 - * - tiny_yolov3 - - 14.66 - - 14.41 - - 416x416x3 - - 8.85 - - 5.58 - - `download `_ - - `link `_ - - `download `_ - - 269.057 - - 455.898 - * - tiny_yolov4 - - 19.18 - - 17.73 - - 416x416x3 - - 6.05 - - 6.92 - - `download `_ - - `link `_ - - `download `_ - - 273.062 - - 430.406 - * - yolov3 |star| - - 38.42 - - 38.37 - - 608x608x3 - - 68.79 - - 158.10 - - `download `_ - - `link `_ - - `download `_ - - 20.7228 - - 24.7059 - * - yolov3_416 - - 37.73 - - 37.53 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 35.1757 - - 50.8807 - * - yolov3_gluon |rocket| |star| - - 37.28 - - 35.64 - - 608x608x3 - - 68.79 - - 158.1 - - `download `_ - - `link `_ - - `download `_ - - 22.0821 - - 27.6056 - * - yolov3_gluon_416 |star| - - 36.27 - - 34.92 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 34.5337 - - 50.1277 - * - yolov4_leaky |star| - - 42.37 - - 41.08 - - 512x512x3 - - 64.33 - - 91.04 - - `download `_ - - `link `_ - - `download `_ - - 29.1715 - - 39.9617 - * - yolov5m - - 42.59 - - 41.19 - - 640x640x3 - - 21.78 - - 52.17 - - `download `_ - - `link `_ - - `download `_ - - 53.809 - - 75.5971 - * - yolov5m6_6.1 - - 50.67 - - 48.97 - - 1280x1280x3 - - 35.70 - - 200.04 - - `download `_ - - `link `_ - - `download `_ - - 16.3575 - - 18.8832 - * - yolov5m_6.1 - - 44.8 - - 43.36 - - 640x640x3 - - 21.17 - - 48.96 - - `download `_ - - `link `_ - - `download `_ - - 53.8092 - - 75.5973 - * - yolov5m_wo_spp |rocket| - - 43.06 - - 40.76 - - 640x640x3 - - 22.67 - - 52.88 - - `download `_ - - `link `_ - - `download `_ - - 67.6233 - - 94.4975 - * - yolov5s |star| - - 35.33 - - 33.98 - - 640x640x3 - - 7.46 - - 17.44 - - `download `_ - - `link `_ - - `download `_ - - 117.162 - - 180.261 - * - yolov5s_c3tr - - 37.13 - - 35.63 - - 640x640x3 - - 10.29 - - 17.02 - - `download `_ - - `link `_ - - `download `_ - - 100.892 - - 167.908 - * - yolov5xs_wo_spp - - 33.18 - - 32.2 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 178.885 - - 319.815 - * - yolov5xs_wo_spp_nms_core - - 32.57 - - 31.06 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 178.878 - - 319.704 - * - yolov6n - - 34.28 - - 32.18 - - 640x640x3 - - 4.32 - - 11.12 - - `download `_ - - `link `_ - - `download `_ - - 168.961 - - 285.641 - * - yolov6n_0.2.1 - - 35.16 - - 33.66 - - 640x640x3 - - 4.33 - - 11.06 - - `download `_ - - `link `_ - - `download `_ - - 181.87 - - 320.321 - * - yolov7 - - 50.59 - - 47.89 - - 640x640x3 - - 36.91 - - 104.51 - - `download `_ - - `link `_ - - `download `_ - - 28.8124 - - 37.7975 - * - yolov7_tiny - - 37.07 - - 35.97 - - 640x640x3 - - 6.22 - - 13.74 - - `download `_ - - `link `_ - - `download `_ - - 128.247 - - 193.335 - * - yolov7e6 - - 55.37 - - 53.47 - - 1280x1280x3 - - 97.20 - - 515.12 - - `download `_ - - `link `_ - - `download `_ - - 6.17829 - - 6.53669 - * - yolov8l - - 52.44 - - 51.78 - - 640x640x3 - - 43.7 - - 165.3 - - `download `_ - - `link `_ - - `download `_ - - 18.7227 - - 23.979 - * - yolov8m - - 49.91 - - 49.11 - - 640x640x3 - - 25.9 - - 78.93 - - `download `_ - - `link `_ - - `download `_ - - 39.082 - - 55.9632 - * - yolov8n - - 37.02 - - 36.32 - - 640x640x3 - - 3.2 - - 8.74 - - `download `_ - - `link `_ - - `download `_ - - 163.514 - - 311.781 - * - yolov8s - - 44.58 - - 43.98 - - 640x640x3 - - 11.2 - - 28.6 - - `download `_ - - `link `_ - - `download `_ - - 82.4367 - - 129.367 - * - yolov8x - - 53.45 - - 52.75 - - 640x640x3 - - 68.2 - - 258 - - `download `_ - - `link `_ - - `download `_ - - 10.9973 - - 13.0795 - * - yolox_l_leaky |star| - - 48.69 - - 46.71 - - 640x640x3 - - 54.17 - - 155.3 - - `download `_ - - `link `_ - - `download `_ - - 17.9951 - - 21.8031 - * - yolox_s_leaky - - 38.12 - - 37.27 - - 640x640x3 - - 8.96 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 87.0709 - - 129.368 - * - yolox_s_wide_leaky - - 42.4 - - 40.97 - - 640x640x3 - - 20.12 - - 59.46 - - `download `_ - - `link `_ - - `download `_ - - 53.5291 - - 70.4935 - * - yolox_tiny - - 32.64 - - 31.39 - - 416x416x3 - - 5.05 - - 6.44 - - `download `_ - - `link `_ - - `download `_ - - 182.502 - - 362.678 - -VisDrone -^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - ssd_mobilenet_v1_visdrone |star| - - 2.37 - - 2.22 - - 300x300x3 - - 5.64 - - 2.3 - - `download `_ - - `link `_ - - `download `_ - - 244.12 - - 527.101 - -.. _Semantic Segmentation: - -Semantic Segmentation ---------------------- - -Cityscapes -^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fcn8_resnet_v1_18 |star| - - 69.41 - - 69.21 - - 1024x1920x3 - - 11.20 - - 142.82 - - `download `_ - - `link `_ - - `download `_ - - 18.8156 - - 21.0842 - * - stdc1 |rocket| - - 74.57 - - 73.92 - - 1024x1920x3 - - 8.27 - - 126.47 - - `download `_ - - `link `_ - - `download `_ - - 15.5433 - - 18.1757 - -Oxford-IIIT Pet -^^^^^^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - unet_mobilenet_v2 - - 77.32 - - 77.02 - - 256x256x3 - - 10.08 - - 28.88 - - `download `_ - - `link `_ - - `download `_ - - 133.439 - - 227.59 - -Pascal VOC -^^^^^^^^^^ - -.. list-table:: - :widths: 36 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - deeplab_v3_mobilenet_v2 - - 76.05 - - 74.8 - - 513x513x3 - - 2.10 - - 17.65 - - `download `_ - - `link `_ - - `download `_ - - 42.9866 - - 56.8301 - * - deeplab_v3_mobilenet_v2_wo_dilation - - 71.46 - - 71.26 - - 513x513x3 - - 2.10 - - 3.21 - - `download `_ - - `link `_ - - `download `_ - - 87.5364 - - 119.235 - -.. _Pose Estimation: - -Pose Estimation ---------------- - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centerpose_regnetx_1.6gf_fpn |star| - - 53.54 - - 52.84 - - 640x640x3 - - 14.28 - - 64.58 - - `download `_ - - `link `_ - - `download `_ - - 46.2622 - - 63.1189 - * - centerpose_regnetx_800mf - - 44.07 - - 42.97 - - 512x512x3 - - 12.31 - - 86.12 - - `download `_ - - `link `_ - - `download `_ - - 57.078 - - 75.5737 - * - centerpose_repvgg_a0 |star| - - 39.17 - - 37.17 - - 416x416x3 - - 11.71 - - 28.27 - - `download `_ - - `link `_ - - `download `_ - - 91.8911 - - 137.367 - -.. _Single Person Pose Estimation: - -Single Person Pose Estimation ------------------------------ - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - mspn_regnetx_800mf |star| - - 70.8 - - 70.3 - - 256x192x3 - - 7.17 - - 2.94 - - `download `_ - - `link `_ - - `download `_ - - 239.436 - - 543.199 - * - vit_pose_small - - 74.16 - - 71.6 - - 256x192x3 - - 24.29 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 25.0889 - - 77.8054 - * - vit_pose_small_bn - - 72.01 - - 70.81 - - 256x192x3 - - 24.32 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 73.2665 - - 194.156 - -.. _Face Detection: - -Face Detection --------------- - -WiderFace -^^^^^^^^^ - -.. list-table:: - :widths: 24 7 12 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - lightface_slim |star| - - 39.7 - - 39.22 - - 240x320x3 - - 0.26 - - 0.16 - - `download `_ - - `link `_ - - `download `_ - - 649.138 - - 1535.33 - * - retinaface_mobilenet_v1 |star| - - 81.27 - - 81.17 - - 736x1280x3 - - 3.49 - - 25.14 - - `download `_ - - `link `_ - - `download `_ - - 50.0765 - - 65.3995 - * - scrfd_10g - - 82.13 - - 82.03 - - 640x640x3 - - 4.23 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 90.3432 - - 131.564 - * - scrfd_2.5g - - 76.59 - - 76.32 - - 640x640x3 - - 0.82 - - 6.88 - - `download `_ - - `link `_ - - `download `_ - - 206.764 - - 320.546 - * - scrfd_500m - - 68.98 - - 68.88 - - 640x640x3 - - 0.63 - - 1.5 - - `download `_ - - `link `_ - - `download `_ - - 231.127 - - 407.787 - -.. _Instance Segmentation: - -Instance Segmentation ---------------------- - -COCO -^^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - yolact_regnetx_1.6gf - - 27.57 - - 27.27 - - 512x512x3 - - 30.09 - - 125.34 - - `download `_ - - `link `_ - - `download `_ - - 34.3425 - - 43.6273 - * - yolact_regnetx_800mf - - 25.61 - - 25.5 - - 512x512x3 - - 28.3 - - 116.75 - - `download `_ - - `link `_ - - `download `_ - - 40.7949 - - 50.4228 - * - yolov5l_seg - - 39.78 - - 39.09 - - 640x640x3 - - 47.89 - - 147.88 - - `download `_ - - `link `_ - - `download `_ - - 20.3549 - - 24.6877 - * - yolov5m_seg - - 37.05 - - 36.32 - - 640x640x3 - - 32.60 - - 70.94 - - `download `_ - - `link `_ - - `download `_ - - 43.6168 - - 56.6371 - * - yolov5n_seg |star| - - 23.35 - - 22.75 - - 640x640x3 - - 1.99 - - 7.1 - - `download `_ - - `link `_ - - `download `_ - - 148.879 - - 174.184 - * - yolov5s_seg - - 31.57 - - 30.49 - - 640x640x3 - - 7.61 - - 26.42 - - `download `_ - - `link `_ - - `download `_ - - 82.509 - - 113.995 - * - yolov8m_seg - - 40.6 - - 39.88 - - 640x640x3 - - 27.3 - - 110.2 - - `download `_ - - `link `_ - - `download `_ - - 29.2613 - - 39.2299 - * - yolov8n_seg - - 30.32 - - 29.68 - - 640x640x3 - - 3.4 - - 12.04 - - `download `_ - - `link `_ - - `download `_ - - 132.766 - - 227.347 - * - yolov8s_seg - - 36.63 - - 36.03 - - 640x640x3 - - 11.8 - - 42.6 - - `download `_ - - `link `_ - - `download `_ - - 63.7904 - - 90.8048 - -.. _Depth Estimation: - -Depth Estimation ----------------- - -NYU -^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - RMSE - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fast_depth |star| - - 0.6 - - 0.62 - - 224x224x3 - - 1.35 - - 0.74 - - `download `_ - - `link `_ - - `download `_ - - 317.237 - - 768.32 - * - scdepthv3 - - 0.48 - - 0.51 - - 256x320x3 - - 14.8 - - 10.7 - - `download `_ - - `link `_ - - `download `_ - - 157.349 - - 276.312 - -.. _Facial Landmark Detection: - -Facial Landmark Detection -------------------------- - -AFLW2k3d -^^^^^^^^ - -.. list-table:: - :widths: 28 8 8 16 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - NME - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - tddfa_mobilenet_v1 |star| - - 3.68 - - 4.05 - - 120x120x3 - - 3.26 - - 0.36 - - `download `_ - - `link `_ - - `download `_ - - 4482.73 - - 4484.42 - -.. _Person Re-ID: - -Person Re-ID ------------- - -Market1501 -^^^^^^^^^^ - -.. list-table:: - :widths: 28 8 9 13 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - rank1 - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - osnet_x1_0 - - 94.43 - - 93.63 - - 256x128x3 - - 2.19 - - 1.98 - - `download `_ - - `link `_ - - `download `_ - - 110.173 - - 317.055 - * - repvgg_a0_person_reid_512 |star| - - 89.9 - - 89.3 - - 256x128x3 - - 7.68 - - 1.78 - - `download `_ - - `link `_ - - `download `_ - - 2632.33 - - 2632.12 - -.. _Super Resolution: - -Super Resolution ----------------- - -BSD100 -^^^^^^ - -.. list-table:: - :widths: 32 8 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - espcn_x2 - - 31.4 - - 30.3 - - 156x240x1 - - 0.02 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 1746.31 - - 1745.98 - * - espcn_x3 - - 28.41 - - 28.06 - - 104x160x1 - - 0.02 - - 0.76 - - `download `_ - - `link `_ - - `download `_ - - 1925.37 - - 1924.98 - * - espcn_x4 - - 26.83 - - 26.58 - - 78x120x1 - - 0.02 - - 0.46 - - `download `_ - - `link `_ - - `download `_ - - 1908.98 - - 1908.56 - -.. _Face Recognition: - -Face Recognition ----------------- - -LFW -^^^ - -.. list-table:: - :widths: 12 7 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - lfw verification accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - arcface_mobilefacenet - - 99.43 - - 99.41 - - 112x112x3 - - 2.04 - - 0.88 - - `download `_ - - `link `_ - - `download `_ - - 444.238 - - 1190.37 - * - arcface_r50 - - 99.72 - - 99.71 - - 112x112x3 - - 31.0 - - 12.6 - - `download `_ - - `link `_ - - `download `_ - - 112.901 - - 234.881 - -.. _Person Attribute: - -Person Attribute ----------------- - -PETA -^^^^ - -.. list-table:: - :widths: 24 14 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - person_attr_resnet_v1_18 - - 82.5 - - 82.61 - - 224x224x3 - - 11.19 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 364.245 - - 816.634 - -.. _Face Attribute: - -Face Attribute --------------- - -CELEBA -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - face_attr_resnet_v1_18 - - 81.19 - - 81.09 - - 218x178x3 - - 11.74 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 366.06 - - 884.264 - -.. _Low Light Enhancement: - -Low Light Enhancement ---------------------- - -LOL -^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - zero_dce - - 16.23 - - 16.24 - - 400x600x3 - - 0.21 - - 38.2 - - `download `_ - - `link `_ - - `download `_ - - 71.5373 - - 79.9602 - * - zero_dce_pp - - 15.95 - - 15.82 - - 400x600x3 - - 0.02 - - 4.84 - - `download `_ - - `link `_ - - `download `_ - - 52.7195 - - 58.1534 - -.. _Image Denoising: - -Image Denoising ---------------- - -BSD68 -^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn3 - - 31.46 - - 31.26 - - 321x481x1 - - 0.66 - - 205.26 - - `download `_ - - `link `_ - - `download `_ - - 20.5436 - - 21.0863 - -CBSD68 -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn_color_blind - - 33.87 - - 32.97 - - 321x481x3 - - 0.66 - - 205.97 - - `download `_ - - `link `_ - - `download `_ - - 20.5436 - - 21.0838 - -.. _Hand Landmark detection: - -Hand Landmark detection ------------------------ - -Hand Landmark -^^^^^^^^^^^^^ - -.. list-table:: - :header-rows: 1 - - * - Network Name - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - hand_landmark_lite - - 224x224x3 - - 1.01 - - 0.3 - - `download `_ - - `link `_ - - `download `_ - - 386.777 - - 1,101.96 diff --git a/docs/PUBLIC_MODELS_HAILO8.rst b/docs/PUBLIC_MODELS_HAILO8.rst deleted file mode 100644 index 693c5e0d..00000000 --- a/docs/PUBLIC_MODELS_HAILO8.rst +++ /dev/null @@ -1,1874 +0,0 @@ - -Public Pre-Trained Models -========================= - -.. |rocket| image:: images/rocket.png - :width: 18 - -.. |star| image:: images/star.png - :width: 18 - -Here, we give the full list of publicly pre-trained models supported by the Hailo Model Zoo. - -* Network available in `Hailo Benchmark `_ are marked with |rocket| -* Networks available in `TAPPAS `_ are marked with |star| -* Benchmark, TAPPAS and Recommended networks run in performance mode -* All models were compiled using Hailo Dataflow Compiler v3.26.0 -* Supported tasks: - - * `Classification`_ - * `Object Detection`_ - * `Semantic Segmentation`_ - * `Pose Estimation`_ - * `Single Person Pose Estimation`_ - * `Face Detection`_ - * `Instance Segmentation`_ - * `Depth Estimation`_ - * `Facial Landmark Detection`_ - * `Person Re-ID`_ - * `Super Resolution`_ - * `Face Recognition`_ - * `Person Attribute`_ - * `Face Attribute`_ - * `Zero-shot Classification`_ - * `Stereo Depth Estimation`_ - * `Low Light Enhancement`_ - * `Image Denoising`_ - * `Hand Landmark detection`_ - - -.. _Classification: - -Classification --------------- - -ImageNet -^^^^^^^^ - -.. list-table:: - :widths: 31 9 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Accuracy (top1) - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - efficientnet_l - - 80.46 - - 79.36 - - 300x300x3 - - 10.55 - - 19.4 - - `download `_ - - `link `_ - - `download `_ - - 155.208 - - 155.208 - * - efficientnet_lite0 - - 74.99 - - 73.81 - - 224x224x3 - - 4.63 - - 0.78 - - `download `_ - - `link `_ - - `download `_ - - 1731.95 - - 1731.94 - * - efficientnet_lite1 - - 76.68 - - 76.21 - - 240x240x3 - - 5.39 - - 1.22 - - `download `_ - - `link `_ - - `download `_ - - 934.714 - - 934.709 - * - efficientnet_lite2 - - 77.45 - - 76.74 - - 260x260x3 - - 6.06 - - 1.74 - - `download `_ - - `link `_ - - `download `_ - - 433.436 - - 433.435 - * - efficientnet_lite3 - - 79.29 - - 78.33 - - 280x280x3 - - 8.16 - - 2.8 - - `download `_ - - `link `_ - - `download `_ - - 223.849 - - 223.848 - * - efficientnet_lite4 - - 80.79 - - 79.99 - - 300x300x3 - - 12.95 - - 5.10 - - `download `_ - - `link `_ - - `download `_ - - 301.62 - - 301.619 - * - efficientnet_m |rocket| - - 78.91 - - 78.63 - - 240x240x3 - - 6.87 - - 7.32 - - `download `_ - - `link `_ - - `download `_ - - 890.529 - - 890.53 - * - efficientnet_s - - 77.64 - - 77.32 - - 224x224x3 - - 5.41 - - 4.72 - - `download `_ - - `link `_ - - `download `_ - - 1036.47 - - 1036.47 - * - hardnet39ds - - 73.43 - - 72.92 - - 224x224x3 - - 3.48 - - 0.86 - - `download `_ - - `link `_ - - `download `_ - - 328.985 - - 1348.15 - * - hardnet68 - - 75.47 - - 75.04 - - 224x224x3 - - 17.56 - - 8.5 - - `download `_ - - `link `_ - - `download `_ - - 122.727 - - 347.067 - * - inception_v1 - - 69.74 - - 69.54 - - 224x224x3 - - 6.62 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 928.649 - - 928.906 - * - mobilenet_v1 - - 70.97 - - 70.26 - - 224x224x3 - - 4.22 - - 1.14 - - `download `_ - - `link `_ - - `download `_ - - 3489.37 - - 3489.35 - * - mobilenet_v2_1.0 |rocket| - - 71.78 - - 71.0 - - 224x224x3 - - 3.49 - - 0.62 - - `download `_ - - `link `_ - - `download `_ - - 2443.67 - - 2443.68 - * - mobilenet_v2_1.4 - - 74.18 - - 73.18 - - 224x224x3 - - 6.09 - - 1.18 - - `download `_ - - `link `_ - - `download `_ - - 1676.77 - - 1676.7 - * - mobilenet_v3 - - 72.21 - - 71.73 - - 224x224x3 - - 4.07 - - 2 - - `download `_ - - `link `_ - - `download `_ - - 2488.59 - - 2488.52 - * - mobilenet_v3_large_minimalistic - - 72.11 - - 70.96 - - 224x224x3 - - 3.91 - - 0.42 - - `download `_ - - `link `_ - - `download `_ - - 3484.95 - - 3485.62 - * - regnetx_1.6gf - - 77.05 - - 76.75 - - 224x224x3 - - 9.17 - - 3.22 - - `download `_ - - `link `_ - - `download `_ - - 2321.66 - - 2321.6 - * - regnetx_800mf - - 75.16 - - 74.84 - - 224x224x3 - - 7.24 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 3506.03 - - 3506.02 - * - repvgg_a1 - - 74.4 - - 72.4 - - 224x224x3 - - 12.79 - - 4.7 - - `download `_ - - `link `_ - - `download `_ - - 2545.65 - - 2545.64 - * - repvgg_a2 - - 76.52 - - 74.52 - - 224x224x3 - - 25.5 - - 10.2 - - `download `_ - - `link `_ - - `download `_ - - 911.79 - - 911.784 - * - resmlp12_relu - - 75.26 - - 74.32 - - 224x224x3 - - 15.77 - - 6.04 - - `download `_ - - `link `_ - - `download `_ - - 1430.06 - - 1429.99 - * - resnet_v1_18 - - 71.26 - - 71.06 - - 224x224x3 - - 11.68 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 2533.72 - - 2533.78 - * - resnet_v1_34 - - 72.7 - - 72.14 - - 224x224x3 - - 21.79 - - 7.34 - - `download `_ - - `link `_ - - `download `_ - - 1346.63 - - 1346.62 - * - resnet_v1_50 |rocket| |star| - - 75.12 - - 74.47 - - 224x224x3 - - 25.53 - - 6.98 - - `download `_ - - `link `_ - - `download `_ - - 1331.76 - - 1331.76 - * - resnext26_32x4d - - 76.18 - - 75.78 - - 224x224x3 - - 15.37 - - 4.96 - - `download `_ - - `link `_ - - `download `_ - - 1630.58 - - 1630.58 - * - resnext50_32x4d - - 79.31 - - 78.21 - - 224x224x3 - - 24.99 - - 8.48 - - `download `_ - - `link `_ - - `download `_ - - 398.117 - - 398.05 - * - squeezenet_v1.1 - - 59.85 - - 59.4 - - 224x224x3 - - 1.24 - - 0.78 - - `download `_ - - `link `_ - - `download `_ - - 3035.18 - - 3035.17 - * - vit_base_bn - - 79.98 - - 78.58 - - 224x224x3 - - 86.5 - - 34.25 - - `download `_ - - `link `_ - - `download `_ - - 34.5985 - - 126.352 - * - vit_small_bn - - 78.12 - - 77.02 - - 224x224x3 - - 21.12 - - 8.62 - - `download `_ - - `link `_ - - `download `_ - - 120.661 - - 559.253 - * - vit_tiny_bn - - 68.95 - - 66.75 - - 224x224x3 - - 5.73 - - 2.2 - - `download `_ - - `link `_ - - `download `_ - - 204.19 - - 1092.91 - -.. _Object Detection: - -Object Detection ----------------- - -COCO -^^^^ - -.. list-table:: - :widths: 33 8 7 12 8 8 8 7 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centernet_resnet_v1_18_postprocess - - 26.3 - - 23.31 - - 512x512x3 - - 14.22 - - 31.21 - - `download `_ - - `link `_ - - `download `_ - - 441.229 - - 441.223 - * - centernet_resnet_v1_50_postprocess - - 31.78 - - 29.23 - - 512x512x3 - - 30.07 - - 56.92 - - `download `_ - - `link `_ - - `download `_ - - 78.5698 - - 151.005 - * - damoyolo_tinynasL20_T - - 42.8 - - 41.7 - - 640x640x3 - - 11.35 - - 18.02 - - `download `_ - - `link `_ - - `download `_ - - 133.613 - - 324.124 - * - damoyolo_tinynasL25_S - - 46.53 - - 46.04 - - 640x640x3 - - 16.25 - - 37.64 - - `download `_ - - `link `_ - - `download `_ - - 125.284 - - 125.279 - * - damoyolo_tinynasL35_M - - 49.7 - - 47.9 - - 640x640x3 - - 33.98 - - 61.64 - - `download `_ - - `link `_ - - `download `_ - - 51.0468 - - 123.681 - * - detr_resnet_v1_18_bn - - 33.91 - - 30.36 - - 800x800x3 - - 32.42 - - 58.97 - - `download `_ - - `link `_ - - `download `_ - - 26.8564 - - 71.4389 - * - efficientdet_lite0 - - 27.32 - - 26.49 - - 320x320x3 - - 3.56 - - 1.94 - - `download `_ - - `link `_ - - `download `_ - - 87.3656 - - 245.752 - * - efficientdet_lite1 - - 32.27 - - 31.72 - - 384x384x3 - - 4.73 - - 4 - - `download `_ - - `link `_ - - `download `_ - - 62.5294 - - 168.514 - * - efficientdet_lite2 - - 35.95 - - 34.67 - - 448x448x3 - - 5.93 - - 6.84 - - `download `_ - - `link `_ - - `download `_ - - 43.2493 - - 92.2266 - * - nanodet_repvgg |star| - - 29.3 - - 28.53 - - 416x416x3 - - 6.74 - - 11.28 - - `download `_ - - `link `_ - - `download `_ - - 991.956 - - 992.077 - * - nanodet_repvgg_a12 - - 33.73 - - 31.33 - - 640x640x3 - - 5.13 - - 28.23 - - `download `_ - - `link `_ - - `download `_ - - 400.976 - - 400.965 - * - nanodet_repvgg_a1_640 - - 33.28 - - 32.88 - - 640x640x3 - - 10.79 - - 42.8 - - `download `_ - - `link `_ - - `download `_ - - 282.225 - - 282.218 - * - ssd_mobilenet_v1 |rocket| |star| - - 23.19 - - 22.29 - - 300x300x3 - - 6.79 - - 2.5 - - `download `_ - - `link `_ - - `download `_ - - 1015.95 - - 1015.94 - * - ssd_mobilenet_v2 - - 24.15 - - 22.94 - - 300x300x3 - - 4.46 - - 1.52 - - `download `_ - - `link `_ - - `download `_ - - 137.187 - - 356.764 - * - tiny_yolov3 - - 14.66 - - 14.41 - - 416x416x3 - - 8.85 - - 5.58 - - `download `_ - - `link `_ - - `download `_ - - 1044.6 - - 1044.59 - * - tiny_yolov4 - - 19.18 - - 17.73 - - 416x416x3 - - 6.05 - - 6.92 - - `download `_ - - `link `_ - - `download `_ - - 1337.63 - - 1337.54 - * - yolov3 |star| - - 38.42 - - 38.37 - - 608x608x3 - - 68.79 - - 158.10 - - `download `_ - - `link `_ - - `download `_ - - 33.265 - - 47.9808 - * - yolov3_416 - - 37.73 - - 37.53 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 45.6488 - - 96.8943 - * - yolov3_gluon |rocket| |star| - - 37.28 - - 35.64 - - 608x608x3 - - 68.79 - - 158.1 - - `download `_ - - `link `_ - - `download `_ - - 38.2519 - - 68.7707 - * - yolov3_gluon_416 |star| - - 36.27 - - 34.92 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 47.115 - - 97.8943 - * - yolov4_leaky |star| - - 42.37 - - 41.08 - - 512x512x3 - - 64.33 - - 91.04 - - `download `_ - - `link `_ - - `download `_ - - 44.4488 - - 87.9633 - * - yolov5m - - 42.59 - - 41.19 - - 640x640x3 - - 21.78 - - 52.17 - - `download `_ - - `link `_ - - `download `_ - - 65.308 - - 130.748 - * - yolov5m6_6.1 - - 50.67 - - 48.97 - - 1280x1280x3 - - 35.70 - - 200.04 - - `download `_ - - `link `_ - - `download `_ - - 25.8568 - - 38.3845 - * - yolov5m_6.1 - - 44.8 - - 43.36 - - 640x640x3 - - 21.17 - - 48.96 - - `download `_ - - `link `_ - - `download `_ - - 83.7009 - - 151.406 - * - yolov5m_wo_spp |rocket| - - 43.06 - - 40.76 - - 640x640x3 - - 22.67 - - 52.88 - - `download `_ - - `link `_ - - `download `_ - - 217.983 - - 217.98 - * - yolov5s |star| - - 35.33 - - 33.98 - - 640x640x3 - - 7.46 - - 17.44 - - `download `_ - - `link `_ - - `download `_ - - 379.521 - - 379.511 - * - yolov5s_c3tr - - 37.13 - - 35.63 - - 640x640x3 - - 10.29 - - 17.02 - - `download `_ - - `link `_ - - `download `_ - - 109.528 - - 246.763 - * - yolov5xs_wo_spp - - 33.18 - - 32.2 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 175.324 - - 437.664 - * - yolov5xs_wo_spp_nms_core - - 32.57 - - 31.06 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 100.493 - - 100.493 - * - yolov6n - - 34.28 - - 32.18 - - 640x640x3 - - 4.32 - - 11.12 - - `download `_ - - `link `_ - - `download `_ - - 1249.65 - - 1249.62 - * - yolov6n_0.2.1 - - 35.16 - - 33.66 - - 640x640x3 - - 4.33 - - 11.06 - - `download `_ - - `link `_ - - `download `_ - - 801.552 - - 801.456 - * - yolov7 - - 50.59 - - 47.89 - - 640x640x3 - - 36.91 - - 104.51 - - `download `_ - - `link `_ - - `download `_ - - 47.448 - - 81.0344 - * - yolov7_tiny - - 37.07 - - 35.97 - - 640x640x3 - - 6.22 - - 13.74 - - `download `_ - - `link `_ - - `download `_ - - 373.122 - - 373.11 - * - yolov7e6 - - 55.37 - - 53.47 - - 1280x1280x3 - - 97.20 - - 515.12 - - `download `_ - - `link `_ - - `download `_ - - 7.86357 - - 10.129 - * - yolov8l - - 52.44 - - 51.78 - - 640x640x3 - - 43.7 - - 165.3 - - `download `_ - - `link `_ - - `download `_ - - 29.5984 - - 52.7786 - * - yolov8m - - 49.91 - - 49.11 - - 640x640x3 - - 25.9 - - 78.93 - - `download `_ - - `link `_ - - `download `_ - - 56.3972 - - 112.155 - * - yolov8n - - 37.02 - - 36.32 - - 640x640x3 - - 3.2 - - 8.74 - - `download `_ - - `link `_ - - `download `_ - - 855.471 - - 855.462 - * - yolov8s - - 44.58 - - 43.98 - - 640x640x3 - - 11.2 - - 28.6 - - `download `_ - - `link `_ - - `download `_ - - 125.95 - - 270.492 - * - yolov8x - - 53.45 - - 52.75 - - 640x640x3 - - 68.2 - - 258 - - `download `_ - - `link `_ - - `download `_ - - 19.1925 - - 30.3876 - * - yolox_l_leaky |star| - - 48.69 - - 46.71 - - 640x640x3 - - 54.17 - - 155.3 - - `download `_ - - `link `_ - - `download `_ - - 33.1201 - - 54.3777 - * - yolox_s_leaky - - 38.12 - - 37.27 - - 640x640x3 - - 8.96 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 250.702 - - 250.697 - * - yolox_s_wide_leaky - - 42.4 - - 40.97 - - 640x640x3 - - 20.12 - - 59.46 - - `download `_ - - `link `_ - - `download `_ - - 73.6626 - - 131.346 - * - yolox_tiny - - 32.64 - - 31.39 - - 416x416x3 - - 5.05 - - 6.44 - - `download `_ - - `link `_ - - `download `_ - - 225.587 - - 634.08 - -VisDrone -^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - ssd_mobilenet_v1_visdrone |star| - - 2.37 - - 2.22 - - 300x300x3 - - 5.64 - - 2.3 - - `download `_ - - `link `_ - - `download `_ - - 1212.8 - - 1212.72 - -.. _Semantic Segmentation: - -Semantic Segmentation ---------------------- - -Cityscapes -^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fcn8_resnet_v1_18 |star| - - 69.41 - - 69.21 - - 1024x1920x3 - - 11.20 - - 142.82 - - `download `_ - - `link `_ - - `download `_ - - 42.6506 - - 42.6503 - * - segformer_b0_bn - - 69.81 - - 68.01 - - 512x1024x3 - - 3.72 - - 27.2 - - `download `_ - - `link `_ - - `download `_ - - 8.33 - - 11.729 - * - stdc1 |rocket| - - 74.57 - - 73.92 - - 1024x1920x3 - - 8.27 - - 126.47 - - `download `_ - - `link `_ - - `download `_ - - 59.6441 - - 59.644 - -Oxford-IIIT Pet -^^^^^^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - unet_mobilenet_v2 - - 77.32 - - 77.02 - - 256x256x3 - - 10.08 - - 28.88 - - `download `_ - - `link `_ - - `download `_ - - 445.763 - - 445.762 - -Pascal VOC -^^^^^^^^^^ - -.. list-table:: - :widths: 36 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - deeplab_v3_mobilenet_v2 - - 76.05 - - 74.8 - - 513x513x3 - - 2.10 - - 17.65 - - `download `_ - - `link `_ - - `download `_ - - 89.4331 - - 89.432 - * - deeplab_v3_mobilenet_v2_wo_dilation - - 71.46 - - 71.26 - - 513x513x3 - - 2.10 - - 3.21 - - `download `_ - - `link `_ - - `download `_ - - 262.235 - - 262.228 - -.. _Pose Estimation: - -Pose Estimation ---------------- - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centerpose_regnetx_1.6gf_fpn |star| - - 53.54 - - 52.84 - - 640x640x3 - - 14.28 - - 64.58 - - `download `_ - - `link `_ - - `download `_ - - 132.748 - - 132.746 - * - centerpose_regnetx_800mf - - 44.07 - - 42.97 - - 512x512x3 - - 12.31 - - 86.12 - - `download `_ - - `link `_ - - `download `_ - - 132.415 - - 132.408 - * - centerpose_repvgg_a0 |star| - - 39.17 - - 37.17 - - 416x416x3 - - 11.71 - - 28.27 - - `download `_ - - `link `_ - - `download `_ - - 512.87 - - 512.863 - -.. _Single Person Pose Estimation: - -Single Person Pose Estimation ------------------------------ - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - mspn_regnetx_800mf |star| - - 70.8 - - 70.3 - - 256x192x3 - - 7.17 - - 2.94 - - `download `_ - - `link `_ - - `download `_ - - 1843.36 - - 1840.82 - * - vit_pose_small - - 74.16 - - 71.6 - - 256x192x3 - - 24.29 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 32.9208 - - 154.658 - * - vit_pose_small_bn - - 72.01 - - 70.81 - - 256x192x3 - - 24.32 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 60.9302 - - 247.454 - -.. _Face Detection: - -Face Detection --------------- - -WiderFace -^^^^^^^^^ - -.. list-table:: - :widths: 24 7 12 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - lightface_slim |star| - - 39.7 - - 39.22 - - 240x320x3 - - 0.26 - - 0.16 - - `download `_ - - `link `_ - - `download `_ - - 4206.18 - - 4206.06 - * - retinaface_mobilenet_v1 |star| - - 81.27 - - 81.17 - - 736x1280x3 - - 3.49 - - 25.14 - - `download `_ - - `link `_ - - `download `_ - - 104.626 - - 104.624 - * - scrfd_10g - - 82.13 - - 82.03 - - 640x640x3 - - 4.23 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 292.285 - - 292.278 - * - scrfd_2.5g - - 76.59 - - 76.32 - - 640x640x3 - - 0.82 - - 6.88 - - `download `_ - - `link `_ - - `download `_ - - 694.727 - - 694.64 - * - scrfd_500m - - 68.98 - - 68.88 - - 640x640x3 - - 0.63 - - 1.5 - - `download `_ - - `link `_ - - `download `_ - - 831.076 - - 830.989 - -.. _Instance Segmentation: - -Instance Segmentation ---------------------- - -COCO -^^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - yolact_regnetx_1.6gf - - 27.57 - - 27.27 - - 512x512x3 - - 30.09 - - 125.34 - - `download `_ - - `link `_ - - `download `_ - - 40.2637 - - 79.7636 - * - yolact_regnetx_800mf - - 25.61 - - 25.5 - - 512x512x3 - - 28.3 - - 116.75 - - `download `_ - - `link `_ - - `download `_ - - 35.1857 - - 65.5711 - * - yolov5l_seg - - 39.78 - - 39.09 - - 640x640x3 - - 47.89 - - 147.88 - - `download `_ - - `link `_ - - `download `_ - - 33.4538 - - 53.3109 - * - yolov5m_seg - - 37.05 - - 36.32 - - 640x640x3 - - 32.60 - - 70.94 - - `download `_ - - `link `_ - - `download `_ - - 61.7092 - - 106.821 - * - yolov5n_seg |star| - - 23.35 - - 22.75 - - 640x640x3 - - 1.99 - - 7.1 - - `download `_ - - `link `_ - - `download `_ - - 184.261 - - 184.236 - * - yolov5s_seg - - 31.57 - - 30.49 - - 640x640x3 - - 7.61 - - 26.42 - - `download `_ - - `link `_ - - `download `_ - - 92.2305 - - 92.2163 - * - yolov8m_seg - - 40.6 - - 39.88 - - 640x640x3 - - 27.3 - - 110.2 - - `download `_ - - `link `_ - - `download `_ - - 44.5823 - - 85.8304 - * - yolov8n_seg - - 30.32 - - 29.68 - - 640x640x3 - - 3.4 - - 12.04 - - `download `_ - - `link `_ - - `download `_ - - 165.335 - - 408.028 - * - yolov8s_seg - - 36.63 - - 36.03 - - 640x640x3 - - 11.8 - - 42.6 - - `download `_ - - `link `_ - - `download `_ - - 99.3603 - - 202.581 - -.. _Depth Estimation: - -Depth Estimation ----------------- - -NYU -^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - RMSE - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fast_depth |star| - - 0.6 - - 0.62 - - 224x224x3 - - 1.35 - - 0.74 - - `download `_ - - `link `_ - - `download `_ - - 1819.24 - - 1820.23 - * - scdepthv3 - - 0.48 - - 0.51 - - 256x320x3 - - 14.8 - - 10.7 - - `download `_ - - `link `_ - - `download `_ - - 777.772 - - 777.764 - -.. _Facial Landmark Detection: - -Facial Landmark Detection -------------------------- - -AFLW2k3d -^^^^^^^^ - -.. list-table:: - :widths: 28 8 8 16 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - NME - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - tddfa_mobilenet_v1 |star| - - 3.68 - - 4.05 - - 120x120x3 - - 3.26 - - 0.36 - - `download `_ - - `link `_ - - `download `_ - - 10077.0 - - 10084.0 - -.. _Person Re-ID: - -Person Re-ID ------------- - -Market1501 -^^^^^^^^^^ - -.. list-table:: - :widths: 28 8 9 13 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - rank1 - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - osnet_x1_0 - - 94.43 - - 93.63 - - 256x128x3 - - 2.19 - - 1.98 - - `download `_ - - `link `_ - - `download `_ - - 159.273 - - 545.392 - * - repvgg_a0_person_reid_512 |star| - - 89.9 - - 89.3 - - 256x128x3 - - 7.68 - - 1.78 - - `download `_ - - `link `_ - - `download `_ - - 5204.97 - - 5204.94 - -.. _Super Resolution: - -Super Resolution ----------------- - -BSD100 -^^^^^^ - -.. list-table:: - :widths: 32 8 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - espcn_x2 - - 31.4 - - 30.3 - - 156x240x1 - - 0.02 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 1164.97 - - 1164.95 - * - espcn_x3 - - 28.41 - - 28.06 - - 104x160x1 - - 0.02 - - 0.76 - - `download `_ - - `link `_ - - `download `_ - - 2218.23 - - 2218.23 - * - espcn_x4 - - 26.83 - - 26.58 - - 78x120x1 - - 0.02 - - 0.46 - - `download `_ - - `link `_ - - `download `_ - - 2189.52 - - 2189.5 - -.. _Face Recognition: - -Face Recognition ----------------- - -LFW -^^^ - -.. list-table:: - :widths: 12 7 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - lfw verification accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - arcface_mobilefacenet - - 99.43 - - 99.41 - - 112x112x3 - - 2.04 - - 0.88 - - `download `_ - - `link `_ - - `download `_ - - 3354.68 - - 3354.67 - * - arcface_r50 - - 99.72 - - 99.71 - - 112x112x3 - - 31.0 - - 12.6 - - `download `_ - - `link `_ - - `download `_ - - 101.995 - - 388.718 - -.. _Person Attribute: - -Person Attribute ----------------- - -PETA -^^^^ - -.. list-table:: - :widths: 24 14 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - person_attr_resnet_v1_18 - - 82.5 - - 82.61 - - 224x224x3 - - 11.19 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 2533.86 - - 2533.77 - -.. _Face Attribute: - -Face Attribute --------------- - -CELEBA -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - face_attr_resnet_v1_18 - - 81.19 - - 81.09 - - 218x178x3 - - 11.74 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 2928.63 - - 2929.11 - -.. _Zero-shot Classification: - -Zero-shot Classification ------------------------- - -CIFAR100 -^^^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Accuracy (top1) - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - clip_resnet_50 - - 42.07 - - 38.57 - - 224x224x3 - - 38.72 - - 11.62 - - `download `_ - - `link `_ - - `download `_ - - 94.6622 - - 383.319 - -.. _Stereo Depth Estimation: - -Stereo Depth Estimation ------------------------ - -N/A -^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - EPE - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - stereonet - - 91.79 - - 89.14 - - 368X1232X3, 368X1232X3 - - 5.91 - - 126.28 - - `download `_ - - `link `_ - - `download `_ - - 3.93173 - - 2.66557 - -.. _Low Light Enhancement: - -Low Light Enhancement ---------------------- - -LOL -^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - zero_dce - - 16.23 - - 16.24 - - 400x600x3 - - 0.21 - - 38.2 - - `download `_ - - `link `_ - - `download `_ - - 110.691 - - 110.687 - * - zero_dce_pp - - 15.95 - - 15.82 - - 400x600x3 - - 0.02 - - 4.84 - - `download `_ - - `link `_ - - `download `_ - - 101.229 - - 101.224 - -.. _Image Denoising: - -Image Denoising ---------------- - -BSD68 -^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn3 - - 31.46 - - 31.26 - - 321x481x1 - - 0.66 - - 205.26 - - `download `_ - - `link `_ - - `download `_ - - 60.2436 - - 60.241 - -CBSD68 -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn_color_blind - - 33.87 - - 32.97 - - 321x481x3 - - 0.66 - - 205.97 - - `download `_ - - `link `_ - - `download `_ - - 60.2437 - - 60.2424 - -.. _Hand Landmark detection: - -Hand Landmark detection ------------------------ - -Hand Landmark -^^^^^^^^^^^^^ - -.. list-table:: - :header-rows: 1 - - * - Network Name - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - hand_landmark_lite - - 224x224x3 - - 1.01 - - 0.3 - - `download `_ - - `link `_ - - `download `_ - - 2,672.09 - - 2,671.97 diff --git a/docs/PUBLIC_MODELS_HAILO8L.rst b/docs/PUBLIC_MODELS_HAILO8L.rst deleted file mode 100644 index a386bb39..00000000 --- a/docs/PUBLIC_MODELS_HAILO8L.rst +++ /dev/null @@ -1,1827 +0,0 @@ - -Public Pre-Trained Models -========================= - -.. |rocket| image:: images/rocket.png - :width: 18 - -.. |star| image:: images/star.png - :width: 18 - -Here, we give the full list of publicly pre-trained models supported by the Hailo Model Zoo. - -* Network available in `Hailo Benchmark `_ are marked with |rocket| -* Networks available in `TAPPAS `_ are marked with |star| -* Benchmark, TAPPAS and Recommended networks run in performance mode -* All models were compiled using Hailo Dataflow Compiler v3.26.0 -* Supported tasks: - - * `Classification`_ - * `Object Detection`_ - * `Semantic Segmentation`_ - * `Pose Estimation`_ - * `Single Person Pose Estimation`_ - * `Face Detection`_ - * `Instance Segmentation`_ - * `Depth Estimation`_ - * `Facial Landmark Detection`_ - * `Person Re-ID`_ - * `Super Resolution`_ - * `Face Recognition`_ - * `Person Attribute`_ - * `Face Attribute`_ - * `Zero-shot Classification`_ - * `Low Light Enhancement`_ - * `Image Denoising`_ - * `Hand Landmark detection`_ - - -.. _Classification: - -Classification --------------- - -ImageNet -^^^^^^^^ - -.. list-table:: - :widths: 31 9 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Accuracy (top1) - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - efficientnet_l - - 80.46 - - 79.36 - - 300x300x3 - - 10.55 - - 19.4 - - `download `_ - - `link `_ - - `download `_ - - 56.71 - - 109.825 - * - efficientnet_lite0 - - 74.99 - - 73.81 - - 224x224x3 - - 4.63 - - 0.78 - - `download `_ - - `link `_ - - `download `_ - - 200.791 - - 592.842 - * - efficientnet_lite1 - - 76.68 - - 76.21 - - 240x240x3 - - 5.39 - - 1.22 - - `download `_ - - `link `_ - - `download `_ - - 149.46 - - 473.42 - * - efficientnet_lite2 - - 77.45 - - 76.74 - - 260x260x3 - - 6.06 - - 1.74 - - `download `_ - - `link `_ - - `download `_ - - 104.729 - - 269.654 - * - efficientnet_lite3 - - 79.29 - - 78.33 - - 280x280x3 - - 8.16 - - 2.8 - - `download `_ - - `link `_ - - `download `_ - - 82.263 - - 202.658 - * - efficientnet_lite4 - - 80.79 - - 79.99 - - 300x300x3 - - 12.95 - - 5.10 - - `download `_ - - `link `_ - - `download `_ - - 59.644 - - 139.63 - * - efficientnet_m |rocket| - - 78.91 - - 78.63 - - 240x240x3 - - 6.87 - - 7.32 - - `download `_ - - `link `_ - - `download `_ - - 114.462 - - 305.483 - * - efficientnet_s - - 77.64 - - 77.32 - - 224x224x3 - - 5.41 - - 4.72 - - `download `_ - - `link `_ - - `download `_ - - 161.139 - - 443.031 - * - hardnet39ds - - 73.43 - - 72.92 - - 224x224x3 - - 3.48 - - 0.86 - - `download `_ - - `link `_ - - `download `_ - - 240.189 - - 762.636 - * - hardnet68 - - 75.47 - - 75.04 - - 224x224x3 - - 17.56 - - 8.5 - - `download `_ - - `link `_ - - `download `_ - - 90.4991 - - 208.453 - * - inception_v1 - - 69.74 - - 69.54 - - 224x224x3 - - 6.62 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 200.725 - - 517.308 - * - mobilenet_v1 - - 70.97 - - 70.26 - - 224x224x3 - - 4.22 - - 1.14 - - `download `_ - - `link `_ - - `download `_ - - 1867.24 - - 1867.24 - * - mobilenet_v2_1.0 |rocket| - - 71.78 - - 71.0 - - 224x224x3 - - 3.49 - - 0.62 - - `download `_ - - `link `_ - - `download `_ - - 280.588 - - 769.309 - * - mobilenet_v2_1.4 - - 74.18 - - 73.18 - - 224x224x3 - - 6.09 - - 1.18 - - `download `_ - - `link `_ - - `download `_ - - 192.125 - - 604.039 - * - mobilenet_v3 - - 72.21 - - 71.73 - - 224x224x3 - - 4.07 - - 2 - - `download `_ - - `link `_ - - `download `_ - - 224.057 - - 793.835 - * - mobilenet_v3_large_minimalistic - - 72.11 - - 70.96 - - 224x224x3 - - 3.91 - - 0.42 - - `download `_ - - `link `_ - - `download `_ - - 378.25 - - 1154.23 - * - regnetx_1.6gf - - 77.05 - - 76.75 - - 224x224x3 - - 9.17 - - 3.22 - - `download `_ - - `link `_ - - `download `_ - - 231.978 - - 666.948 - * - regnetx_800mf - - 75.16 - - 74.84 - - 224x224x3 - - 7.24 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 3506.03 - - 3506.02 - * - repvgg_a1 - - 74.4 - - 72.4 - - 224x224x3 - - 12.79 - - 4.7 - - `download `_ - - `link `_ - - `download `_ - - 231.257 - - 664.813 - * - repvgg_a2 - - 76.52 - - 74.52 - - 224x224x3 - - 25.5 - - 10.2 - - `download `_ - - `link `_ - - `download `_ - - 136.261 - - 329.01 - * - resmlp12_relu - - 75.26 - - 74.32 - - 224x224x3 - - 15.77 - - 6.04 - - `download `_ - - `link `_ - - `download `_ - - 45.157 - - 191.254 - * - resnet_v1_18 - - 71.26 - - 71.06 - - 224x224x3 - - 11.68 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 915.657 - - 915.653 - * - resnet_v1_34 - - 72.7 - - 72.14 - - 224x224x3 - - 21.79 - - 7.34 - - `download `_ - - `link `_ - - `download `_ - - 156.259 - - 414.778 - * - resnet_v1_50 |rocket| |star| - - 75.12 - - 74.47 - - 224x224x3 - - 25.53 - - 6.98 - - `download `_ - - `link `_ - - `download `_ - - 136.806 - - 503.725 - * - resnext26_32x4d - - 76.18 - - 75.78 - - 224x224x3 - - 15.37 - - 4.96 - - `download `_ - - `link `_ - - `download `_ - - 174.067 - - 474.646 - * - resnext50_32x4d - - 79.31 - - 78.21 - - 224x224x3 - - 24.99 - - 8.48 - - `download `_ - - `link `_ - - `download `_ - - 107.693 - - 285.32 - * - squeezenet_v1.1 - - 59.85 - - 59.4 - - 224x224x3 - - 1.24 - - 0.78 - - `download `_ - - `link `_ - - `download `_ - - 1726.48 - - 1730.74 - * - vit_base_bn - - 79.98 - - 78.58 - - 224x224x3 - - 86.5 - - 34.25 - - `download `_ - - `link `_ - - `download `_ - - 28.056 - - 77.86 - * - vit_small_bn - - 78.12 - - 77.02 - - 224x224x3 - - 21.12 - - 8.62 - - `download `_ - - `link `_ - - `download `_ - - 83.197 - - 310.282 - * - vit_tiny_bn - - 68.95 - - 66.75 - - 224x224x3 - - 5.73 - - 2.2 - - `download `_ - - `link `_ - - `download `_ - - 138.727 - - 596.574 - -.. _Object Detection: - -Object Detection ----------------- - -COCO -^^^^ - -.. list-table:: - :widths: 33 8 7 12 8 8 8 7 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centernet_resnet_v1_18_postprocess - - 26.3 - - 23.31 - - 512x512x3 - - 14.22 - - 31.21 - - `download `_ - - `link `_ - - `download `_ - - 95.3632 - - 149.8 - * - centernet_resnet_v1_50_postprocess - - 31.78 - - 29.23 - - 512x512x3 - - 30.07 - - 56.92 - - `download `_ - - `link `_ - - `download `_ - - 52.0467 - - 81.0303 - * - damoyolo_tinynasL20_T - - 42.8 - - 41.7 - - 640x640x3 - - 11.35 - - 18.02 - - `download `_ - - `link `_ - - `download `_ - - 93.7939 - - 183.896 - * - damoyolo_tinynasL25_S - - 46.53 - - 46.04 - - 640x640x3 - - 16.25 - - 37.64 - - `download `_ - - `link `_ - - `download `_ - - 63.797 - - 109.853 - * - damoyolo_tinynasL35_M - - 49.7 - - 47.9 - - 640x640x3 - - 33.98 - - 61.64 - - `download `_ - - `link `_ - - `download `_ - - 31.9208 - - 57.5705 - * - detr_resnet_v1_18_bn - - 33.91 - - 30.36 - - 800x800x3 - - 32.42 - - 58.97 - - `download `_ - - `link `_ - - `download `_ - - 16.544 - - 33.436 - * - efficientdet_lite0 - - 27.32 - - 26.49 - - 320x320x3 - - 3.56 - - 1.94 - - `download `_ - - `link `_ - - `download `_ - - 71.6623 - - 174.318 - * - efficientdet_lite1 - - 32.27 - - 31.72 - - 384x384x3 - - 4.73 - - 4 - - `download `_ - - `link `_ - - `download `_ - - 44.6487 - - 93.3219 - * - efficientdet_lite2 - - 35.95 - - 34.67 - - 448x448x3 - - 5.93 - - 6.84 - - `download `_ - - `link `_ - - `download `_ - - 25.5898 - - 44.7808 - * - nanodet_repvgg |star| - - 29.3 - - 28.53 - - 416x416x3 - - 6.74 - - 11.28 - - `download `_ - - `link `_ - - `download `_ - - 500.345 - - 500.336 - * - nanodet_repvgg_a12 - - 33.73 - - 31.33 - - 640x640x3 - - 5.13 - - 28.23 - - `download `_ - - `link `_ - - `download `_ - - 107.291 - - 173.794 - * - nanodet_repvgg_a1_640 - - 33.28 - - 32.88 - - 640x640x3 - - 10.79 - - 42.8 - - `download `_ - - `link `_ - - `download `_ - - 101.027 - - 101.026 - * - ssd_mobilenet_v1 |rocket| |star| - - 23.19 - - 22.29 - - 300x300x3 - - 6.79 - - 2.5 - - `download `_ - - `link `_ - - `download `_ - - 139.074 - - 292.96 - * - ssd_mobilenet_v2 - - 24.15 - - 22.94 - - 300x300x3 - - 4.46 - - 1.52 - - `download `_ - - `link `_ - - `download `_ - - 95.7241 - - 218.572 - * - tiny_yolov3 - - 14.66 - - 14.41 - - 416x416x3 - - 8.85 - - 5.58 - - `download `_ - - `link `_ - - `download `_ - - 623.301 - - 623.296 - * - tiny_yolov4 - - 19.18 - - 17.73 - - 416x416x3 - - 6.05 - - 6.92 - - `download `_ - - `link `_ - - `download `_ - - 474.288 - - 474.283 - * - yolov3 |star| - - 38.42 - - 38.37 - - 608x608x3 - - 68.79 - - 158.10 - - `download `_ - - `link `_ - - `download `_ - - 15.527 - - 19.18 - * - yolov3_416 - - 37.73 - - 37.53 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 25.2653 - - 39.9843 - * - yolov3_gluon |rocket| |star| - - 37.28 - - 35.64 - - 608x608x3 - - 68.79 - - 158.1 - - `download `_ - - `link `_ - - `download `_ - - 14.861 - - 19.19 - * - yolov3_gluon_416 |star| - - 36.27 - - 34.92 - - 416x416x3 - - 61.92 - - 65.94 - - `download `_ - - `link `_ - - `download `_ - - 25.19 - - 39.98 - * - yolov4_leaky |star| - - 42.37 - - 41.08 - - 512x512x3 - - 64.33 - - 91.04 - - `download `_ - - `link `_ - - `download `_ - - 24.657 - - 38.382 - * - yolov5m - - 42.59 - - 41.19 - - 640x640x3 - - 21.78 - - 52.17 - - `download `_ - - `link `_ - - `download `_ - - 46.3823 - - 76.2339 - * - yolov5m6_6.1 - - 50.67 - - 48.97 - - 1280x1280x3 - - 35.70 - - 200.04 - - `download `_ - - `link `_ - - `download `_ - - 14.794 - - 18.657 - * - yolov5m_6.1 - - 44.8 - - 43.36 - - 640x640x3 - - 21.17 - - 48.96 - - `download `_ - - `link `_ - - `download `_ - - 52.5796 - - 83.1643 - * - yolov5m_wo_spp |rocket| - - 43.06 - - 40.76 - - 640x640x3 - - 22.67 - - 52.88 - - `download `_ - - `link `_ - - `download `_ - - 50.931 - - 81.035 - * - yolov5s |star| - - 35.33 - - 33.98 - - 640x640x3 - - 7.46 - - 17.44 - - `download `_ - - `link `_ - - `download `_ - - 87.263 - - 163.191 - * - yolov5s_c3tr - - 37.13 - - 35.63 - - 640x640x3 - - 10.29 - - 17.02 - - `download `_ - - `link `_ - - `download `_ - - 77.7032 - - 156.74 - * - yolov5xs_wo_spp - - 33.18 - - 32.2 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 135.015 - - 306.014 - * - yolov5xs_wo_spp_nms_core - - 32.57 - - 31.06 - - 512x512x3 - - 7.85 - - 11.36 - - `download `_ - - `link `_ - - `download `_ - - 135.259 - - 306.096 - * - yolov6n - - 34.28 - - 32.18 - - 640x640x3 - - 4.32 - - 11.12 - - `download `_ - - `link `_ - - `download `_ - - 159.005 - - 337.45 - * - yolov6n_0.2.1 - - 35.16 - - 33.66 - - 640x640x3 - - 4.33 - - 11.06 - - `download `_ - - `link `_ - - `download `_ - - 159.137 - - 337.457 - * - yolov7 - - 50.59 - - 47.89 - - 640x640x3 - - 36.91 - - 104.51 - - `download `_ - - `link `_ - - `download `_ - - 25.0569 - - 37.3181 - * - yolov7_tiny - - 37.07 - - 35.97 - - 640x640x3 - - 6.22 - - 13.74 - - `download `_ - - `link `_ - - `download `_ - - 114.461 - - 195.12 - * - yolov7e6 - - 55.37 - - 53.47 - - 1280x1280x3 - - 97.20 - - 515.12 - - `download `_ - - `link `_ - - `download `_ - - 4.906 - - 4.906 - * - yolov8l - - 52.44 - - 51.78 - - 640x640x3 - - 43.7 - - 165.3 - - `download `_ - - `link `_ - - `download `_ - - 18.88 - - 26.88 - * - yolov8m - - 49.91 - - 49.11 - - 640x640x3 - - 25.9 - - 78.93 - - `download `_ - - `link `_ - - `download `_ - - 37.919 - - 60.241 - * - yolov8n - - 37.02 - - 36.32 - - 640x640x3 - - 3.2 - - 8.74 - - `download `_ - - `link `_ - - `download `_ - - 139.213 - - 278.816 - * - yolov8s - - 44.58 - - 43.98 - - 640x640x3 - - 11.2 - - 28.6 - - `download `_ - - `link `_ - - `download `_ - - 84.26 - - 145.274 - * - yolov8x - - 53.45 - - 52.75 - - 640x640x3 - - 68.2 - - 258 - - `download `_ - - `link `_ - - `download `_ - - 19.1925 - - 30.3876 - * - yolox_l_leaky |star| - - 48.69 - - 46.71 - - 640x640x3 - - 54.17 - - 155.3 - - `download `_ - - `link `_ - - `download `_ - - 19.999 - - 27.722 - * - yolox_s_leaky - - 38.12 - - 37.27 - - 640x640x3 - - 8.96 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 80.768 - - 129.54 - * - yolox_s_wide_leaky - - 42.4 - - 40.97 - - 640x640x3 - - 20.12 - - 59.46 - - `download `_ - - `link `_ - - `download `_ - - 48.6473 - - 70.904 - * - yolox_tiny - - 32.64 - - 31.39 - - 416x416x3 - - 5.05 - - 6.44 - - `download `_ - - `link `_ - - `download `_ - - 152.341 - - 343.324 - -VisDrone -^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - ssd_mobilenet_v1_visdrone |star| - - 2.37 - - 2.22 - - 300x300x3 - - 5.64 - - 2.3 - - `download `_ - - `link `_ - - `download `_ - - 208.918 - - 488.485 - -.. _Semantic Segmentation: - -Semantic Segmentation ---------------------- - -Cityscapes -^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fcn8_resnet_v1_18 |star| - - 69.41 - - 69.21 - - 1024x1920x3 - - 11.20 - - 142.82 - - `download `_ - - `link `_ - - `download `_ - - 15.899 - - 17.624 - * - stdc1 |rocket| - - 74.57 - - 73.92 - - 1024x1920x3 - - 8.27 - - 126.47 - - `download `_ - - `link `_ - - `download `_ - - 59.6441 - - 59.644 - -Oxford-IIIT Pet -^^^^^^^^^^^^^^^ - -.. list-table:: - :widths: 31 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - unet_mobilenet_v2 - - 77.32 - - 77.02 - - 256x256x3 - - 10.08 - - 28.88 - - `download `_ - - `link `_ - - `download `_ - - 100.629 - - 195.658 - -Pascal VOC -^^^^^^^^^^ - -.. list-table:: - :widths: 36 7 9 12 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mIoU - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - deeplab_v3_mobilenet_v2 - - 76.05 - - 74.8 - - 513x513x3 - - 2.10 - - 17.65 - - `download `_ - - `link `_ - - `download `_ - - 35.32 - - 43.0 - * - deeplab_v3_mobilenet_v2_wo_dilation - - 71.46 - - 71.26 - - 513x513x3 - - 2.10 - - 3.21 - - `download `_ - - `link `_ - - `download `_ - - 57.664 - - 111.422 - -.. _Pose Estimation: - -Pose Estimation ---------------- - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - centerpose_regnetx_1.6gf_fpn |star| - - 53.54 - - 52.84 - - 640x640x3 - - 14.28 - - 64.58 - - `download `_ - - `link `_ - - `download `_ - - 43.449 - - 66.09 - * - centerpose_regnetx_800mf - - 44.07 - - 42.97 - - 512x512x3 - - 12.31 - - 86.12 - - `download `_ - - `link `_ - - `download `_ - - 66.641 - - 96.0218 - * - centerpose_repvgg_a0 |star| - - 39.17 - - 37.17 - - 416x416x3 - - 11.71 - - 28.27 - - `download `_ - - `link `_ - - `download `_ - - 82.301 - - 148.736 - -.. _Single Person Pose Estimation: - -Single Person Pose Estimation ------------------------------ - -COCO -^^^^ - -.. list-table:: - :widths: 24 8 9 18 9 8 9 8 7 7 7 - :header-rows: 1 - - * - Network Name - - AP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - mspn_regnetx_800mf |star| - - 70.8 - - 70.3 - - 256x192x3 - - 7.17 - - 2.94 - - `download `_ - - `link `_ - - `download `_ - - 176.8 - - 534.372 - * - vit_pose_small - - 74.16 - - 71.6 - - 256x192x3 - - 24.29 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 25.6655 - - 91.1646 - * - vit_pose_small_bn - - 72.01 - - 70.81 - - 256x192x3 - - 24.32 - - 17.17 - - `download `_ - - `link `_ - - `download `_ - - 58.664 - - 199.924 - -.. _Face Detection: - -Face Detection --------------- - -WiderFace -^^^^^^^^^ - -.. list-table:: - :widths: 24 7 12 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - lightface_slim |star| - - 39.7 - - 39.22 - - 240x320x3 - - 0.26 - - 0.16 - - `download `_ - - `link `_ - - `download `_ - - 1,249.25 - - 1,250.17 - * - retinaface_mobilenet_v1 |star| - - 81.27 - - 81.17 - - 736x1280x3 - - 3.49 - - 25.14 - - `download `_ - - `link `_ - - `download `_ - - 45.849 - - 59.705 - * - scrfd_10g - - 82.13 - - 82.03 - - 640x640x3 - - 4.23 - - 26.74 - - `download `_ - - `link `_ - - `download `_ - - 93.2965 - - 145.538 - * - scrfd_2.5g - - 76.59 - - 76.32 - - 640x640x3 - - 0.82 - - 6.88 - - `download `_ - - `link `_ - - `download `_ - - 184.055 - - 324.389 - * - scrfd_500m - - 68.98 - - 68.88 - - 640x640x3 - - 0.63 - - 1.5 - - `download `_ - - `link `_ - - `download `_ - - 191.591 - - 358.24 - -.. _Instance Segmentation: - -Instance Segmentation ---------------------- - -COCO -^^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - mAP - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - yolact_regnetx_1.6gf - - 27.57 - - 27.27 - - 512x512x3 - - 30.09 - - 125.34 - - `download `_ - - `link `_ - - `download `_ - - 31.8537 - - 46.176 - * - yolact_regnetx_800mf - - 25.61 - - 25.5 - - 512x512x3 - - 28.3 - - 116.75 - - `download `_ - - `link `_ - - `download `_ - - 31.3871 - - 43.7109 - * - yolov5l_seg - - 39.78 - - 39.09 - - 640x640x3 - - 47.89 - - 147.88 - - `download `_ - - `link `_ - - `download `_ - - 18.2655 - - 17.5874 - * - yolov5m_seg - - 37.05 - - 36.32 - - 640x640x3 - - 32.60 - - 70.94 - - `download `_ - - `link `_ - - `download `_ - - 41.0505 - - 60.2374 - * - yolov5n_seg |star| - - 23.35 - - 22.75 - - 640x640x3 - - 1.99 - - 7.1 - - `download `_ - - `link `_ - - `download `_ - - 118.221 - - 141.6 - * - yolov5s_seg - - 31.57 - - 30.49 - - 640x640x3 - - 7.61 - - 26.42 - - `download `_ - - `link `_ - - `download `_ - - 77.1034 - - 104.49 - * - yolov8m_seg - - 40.6 - - 39.88 - - 640x640x3 - - 27.3 - - 110.2 - - `download `_ - - `link `_ - - `download `_ - - 26.5 - - 35.18 - * - yolov8n_seg - - 30.32 - - 29.68 - - 640x640x3 - - 3.4 - - 12.04 - - `download `_ - - `link `_ - - `download `_ - - 122.153 - - 232.506 - * - yolov8s_seg - - 36.63 - - 36.03 - - 640x640x3 - - 11.8 - - 42.6 - - `download `_ - - `link `_ - - `download `_ - - 65.241 - - 101.822 - -.. _Depth Estimation: - -Depth Estimation ----------------- - -NYU -^^^ - -.. list-table:: - :widths: 34 7 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - RMSE - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - fast_depth |star| - - 0.6 - - 0.62 - - 224x224x3 - - 1.35 - - 0.74 - - `download `_ - - `link `_ - - `download `_ - - 299.42 - - 299.418 - * - scdepthv3 - - 0.48 - - 0.51 - - 256x320x3 - - 14.8 - - 10.7 - - `download `_ - - `link `_ - - `download `_ - - 113.957 - - 236.908 - -.. _Facial Landmark Detection: - -Facial Landmark Detection -------------------------- - -AFLW2k3d -^^^^^^^^ - -.. list-table:: - :widths: 28 8 8 16 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - NME - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - tddfa_mobilenet_v1 |star| - - 3.68 - - 4.05 - - 120x120x3 - - 3.26 - - 0.36 - - `download `_ - - `link `_ - - `download `_ - - 5,397.45 - - 5401.79 - -.. _Person Re-ID: - -Person Re-ID ------------- - -Market1501 -^^^^^^^^^^ - -.. list-table:: - :widths: 28 8 9 13 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - rank1 - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - osnet_x1_0 - - 94.43 - - 93.63 - - 256x128x3 - - 2.19 - - 1.98 - - `download `_ - - `link `_ - - `download `_ - - 105.529 - - 299.085 - * - repvgg_a0_person_reid_512 |star| - - 89.9 - - 89.3 - - 256x128x3 - - 7.68 - - 1.78 - - `download `_ - - `link `_ - - `download `_ - - 3520.75 - - 3527.15 - -.. _Super Resolution: - -Super Resolution ----------------- - -BSD100 -^^^^^^ - -.. list-table:: - :widths: 32 8 7 11 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - espcn_x2 - - 31.4 - - 30.3 - - 156x240x1 - - 0.02 - - 1.6 - - `download `_ - - `link `_ - - `download `_ - - 1161.56 - - 1164.97 - * - espcn_x3 - - 28.41 - - 28.06 - - 104x160x1 - - 0.02 - - 0.76 - - `download `_ - - `link `_ - - `download `_ - - 2197.77 - - 2218.23 - * - espcn_x4 - - 26.83 - - 26.58 - - 78x120x1 - - 0.02 - - 0.46 - - `download `_ - - `link `_ - - `download `_ - - 2165.26 - - 2189.48 - -.. _Face Recognition: - -Face Recognition ----------------- - -LFW -^^^ - -.. list-table:: - :widths: 12 7 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - lfw verification accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - arcface_mobilefacenet - - 99.43 - - 99.41 - - 112x112x3 - - 2.04 - - 0.88 - - `download `_ - - `link `_ - - `download `_ - - 334.052 - - 1114.78 - * - arcface_r50 - - 99.72 - - 99.71 - - 112x112x3 - - 31.0 - - 12.6 - - `download `_ - - `link `_ - - `download `_ - - 80.6634 - - 205.256 - -.. _Person Attribute: - -Person Attribute ----------------- - -PETA -^^^^ - -.. list-table:: - :widths: 24 14 12 14 9 8 10 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - person_attr_resnet_v1_18 - - 82.5 - - 82.61 - - 224x224x3 - - 11.19 - - 3.64 - - `download `_ - - `link `_ - - `download `_ - - 1062.53 - - 1062.86 - -.. _Face Attribute: - -Face Attribute --------------- - -CELEBA -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Mean Accuracy - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - face_attr_resnet_v1_18 - - 81.19 - - 81.09 - - 218x178x3 - - 11.74 - - 3 - - `download `_ - - `link `_ - - `download `_ - - 670.684 - - 670.88 - -.. _Zero-shot Classification: - -Zero-shot Classification ------------------------- - -CIFAR100 -^^^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - Accuracy (top1) - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - clip_resnet_50 - - 42.07 - - 38.57 - - 224x224x3 - - 38.72 - - 11.62 - - `download `_ - - `link `_ - - `download `_ - - 63.5303 - - 195.19 - -.. _Low Light Enhancement: - -Low Light Enhancement ---------------------- - -LOL -^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - zero_dce - - 16.23 - - 16.24 - - 400x600x3 - - 0.21 - - 38.2 - - `download `_ - - `link `_ - - `download `_ - - 65.1753 - - 55.9742 - * - zero_dce_pp - - 15.95 - - 15.82 - - 400x600x3 - - 0.02 - - 4.84 - - `download `_ - - `link `_ - - `download `_ - - 34.0537 - - 22.3908 - -.. _Image Denoising: - -Image Denoising ---------------- - -BSD68 -^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn3 - - 31.46 - - 31.26 - - 321x481x1 - - 0.66 - - 205.26 - - `download `_ - - `link `_ - - `download `_ - - 29.165 - - 29.154 - -CBSD68 -^^^^^^ - -.. list-table:: - :widths: 30 7 11 14 9 8 12 8 7 7 7 - :header-rows: 1 - - * - Network Name - - PSNR - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - dncnn_color_blind - - 33.87 - - 32.97 - - 321x481x3 - - 0.66 - - 205.97 - - `download `_ - - `link `_ - - `download `_ - - 29.165 - - 29.154 - -.. _Hand Landmark detection: - -Hand Landmark detection ------------------------ - -Hand Landmark -^^^^^^^^^^^^^ - -.. list-table:: - :header-rows: 1 - - * - Network Name - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - hand_landmark_lite - - 224x224x3 - - 1.01 - - 0.3 - - `download `_ - - `link `_ - - `download `_ - - 292.054 - - 980.211 diff --git a/docs/PUBLIC_MODELS_HAILO8L_Person_Re-ID.rst b/docs/PUBLIC_MODELS_HAILO8L_Person_Re-ID.rst deleted file mode 100644 index befc6877..00000000 --- a/docs/PUBLIC_MODELS_HAILO8L_Person_Re-ID.rst +++ /dev/null @@ -1,55 +0,0 @@ - -Public Pre-Trained Models -========================= - -.. |rocket| image:: images/rocket.png - :width: 18 - -.. |star| image:: images/star.png - :width: 18 - -.. _Person Re-ID: - -Person Re-ID ------------- - -Market1501 -^^^^^^^^^^ - -.. list-table:: - :widths: 28 8 9 13 9 8 8 8 7 7 7 - :header-rows: 1 - - * - Network Name - - rank1 - - Quantized - - Input Resolution (HxWxC) - - Params (M) - - OPS (G) - - Pretrained - - Source - - Compiled - - FPS (Batch Size=1) - - FPS (Batch Size=8) - * - osnet_x1_0 - - 94.43 - - 93.63 - - 256x128x3 - - 2.19 - - 1.98 - - `download `_ - - `link `_ - - `download `_ - - 105.529 - - 299.085 - * - repvgg_a0_person_reid_512 |star| - - 89.9 - - 89.3 - - 256x128x3 - - 7.68 - - 1.78 - - `download `_ - - `link `_ - - `download `_ - - 3520.75 - - 3527.15 diff --git a/docs/PUBLIC_MODELS_HAILO15H_Classification.rst b/docs/public_models/HAILO15H_Classification.rst similarity index 99% rename from docs/PUBLIC_MODELS_HAILO15H_Classification.rst rename to docs/public_models/HAILO15H_Classification.rst index e40d4a02..0a1dda62 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Classification.rst +++ b/docs/public_models/HAILO15H_Classification.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Classification: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Depth_Estimation.rst b/docs/public_models/HAILO15H_Depth_Estimation.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15H_Depth_Estimation.rst rename to docs/public_models/HAILO15H_Depth_Estimation.rst index 194a08e7..3f0ab8c3 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Depth_Estimation.rst +++ b/docs/public_models/HAILO15H_Depth_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Depth Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Face_Attribute.rst b/docs/public_models/HAILO15H_Face_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO15H_Face_Attribute.rst rename to docs/public_models/HAILO15H_Face_Attribute.rst index 5c9d056c..66ccf744 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Face_Attribute.rst +++ b/docs/public_models/HAILO15H_Face_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Attribute: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Face_Detection.rst b/docs/public_models/HAILO15H_Face_Detection.rst similarity index 97% rename from docs/PUBLIC_MODELS_HAILO15H_Face_Detection.rst rename to docs/public_models/HAILO15H_Face_Detection.rst index 041719bf..794a8a3e 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Face_Detection.rst +++ b/docs/public_models/HAILO15H_Face_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Detection: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Face_Recognition.rst b/docs/public_models/HAILO15H_Face_Recognition.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15H_Face_Recognition.rst rename to docs/public_models/HAILO15H_Face_Recognition.rst index 7b6fd2a0..275067f2 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Face_Recognition.rst +++ b/docs/public_models/HAILO15H_Face_Recognition.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Recognition: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Facial_Landmark_Detection.rst b/docs/public_models/HAILO15H_Facial_Landmark_Detection.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO15H_Facial_Landmark_Detection.rst rename to docs/public_models/HAILO15H_Facial_Landmark_Detection.rst index 4372354b..c1118d5b 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Facial_Landmark_Detection.rst +++ b/docs/public_models/HAILO15H_Facial_Landmark_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Facial Landmark Detection: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Hand_Landmark_detection.rst b/docs/public_models/HAILO15H_Hand_Landmark_detection.rst similarity index 91% rename from docs/PUBLIC_MODELS_HAILO15H_Hand_Landmark_detection.rst rename to docs/public_models/HAILO15H_Hand_Landmark_detection.rst index a2507364..467c9462 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Hand_Landmark_detection.rst +++ b/docs/public_models/HAILO15H_Hand_Landmark_detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Hand Landmark detection: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Image_Denoising.rst b/docs/public_models/HAILO15H_Image_Denoising.rst similarity index 95% rename from docs/PUBLIC_MODELS_HAILO15H_Image_Denoising.rst rename to docs/public_models/HAILO15H_Image_Denoising.rst index 41bdb6fb..0d5a5192 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Image_Denoising.rst +++ b/docs/public_models/HAILO15H_Image_Denoising.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Image Denoising: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Instance_Segmentation.rst b/docs/public_models/HAILO15H_Instance_Segmentation.rst similarity index 98% rename from docs/PUBLIC_MODELS_HAILO15H_Instance_Segmentation.rst rename to docs/public_models/HAILO15H_Instance_Segmentation.rst index ae3afdf4..8135b768 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Instance_Segmentation.rst +++ b/docs/public_models/HAILO15H_Instance_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Instance Segmentation: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Low_Light_Enhancement.rst b/docs/public_models/HAILO15H_Low_Light_Enhancement.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15H_Low_Light_Enhancement.rst rename to docs/public_models/HAILO15H_Low_Light_Enhancement.rst index 7366e960..95986b8d 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Low_Light_Enhancement.rst +++ b/docs/public_models/HAILO15H_Low_Light_Enhancement.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Low Light Enhancement: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Object_Detection.rst b/docs/public_models/HAILO15H_Object_Detection.rst similarity index 99% rename from docs/PUBLIC_MODELS_HAILO15H_Object_Detection.rst rename to docs/public_models/HAILO15H_Object_Detection.rst index b63d93d4..9f9807a2 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Object_Detection.rst +++ b/docs/public_models/HAILO15H_Object_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Object Detection: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Person_Attribute.rst b/docs/public_models/HAILO15H_Person_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO15H_Person_Attribute.rst rename to docs/public_models/HAILO15H_Person_Attribute.rst index ba4d4a05..89471f85 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Person_Attribute.rst +++ b/docs/public_models/HAILO15H_Person_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Person Attribute: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Person_Re-ID.rst b/docs/public_models/HAILO15H_Person_Re_ID.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15H_Person_Re-ID.rst rename to docs/public_models/HAILO15H_Person_Re_ID.rst index 1305fd2c..5973e862 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Person_Re-ID.rst +++ b/docs/public_models/HAILO15H_Person_Re_ID.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Person Re-ID: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Pose_Estimation.rst b/docs/public_models/HAILO15H_Pose_Estimation.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO15H_Pose_Estimation.rst rename to docs/public_models/HAILO15H_Pose_Estimation.rst index 8f07d8f7..fa5bf9d3 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Pose_Estimation.rst +++ b/docs/public_models/HAILO15H_Pose_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Semantic_Segmentation.rst b/docs/public_models/HAILO15H_Semantic_Segmentation.rst similarity index 97% rename from docs/PUBLIC_MODELS_HAILO15H_Semantic_Segmentation.rst rename to docs/public_models/HAILO15H_Semantic_Segmentation.rst index 2c4136ae..3d85eef0 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Semantic_Segmentation.rst +++ b/docs/public_models/HAILO15H_Semantic_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Semantic Segmentation: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Single_Person_Pose_Estimation.rst b/docs/public_models/HAILO15H_Single_Person_Pose_Estimation.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO15H_Single_Person_Pose_Estimation.rst rename to docs/public_models/HAILO15H_Single_Person_Pose_Estimation.rst index 045c5574..84bd4817 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Single_Person_Pose_Estimation.rst +++ b/docs/public_models/HAILO15H_Single_Person_Pose_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Single Person Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO15H_Super_Resolution.rst b/docs/public_models/HAILO15H_Super_Resolution.rst similarity index 95% rename from docs/PUBLIC_MODELS_HAILO15H_Super_Resolution.rst rename to docs/public_models/HAILO15H_Super_Resolution.rst index 42b1b985..18d42b6a 100644 --- a/docs/PUBLIC_MODELS_HAILO15H_Super_Resolution.rst +++ b/docs/public_models/HAILO15H_Super_Resolution.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Super Resolution: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Classification.rst b/docs/public_models/HAILO15M_Classification.rst similarity index 98% rename from docs/PUBLIC_MODELS_HAILO15M_Classification.rst rename to docs/public_models/HAILO15M_Classification.rst index 1dd4c69b..66082abe 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Classification.rst +++ b/docs/public_models/HAILO15M_Classification.rst @@ -1,3 +1,12 @@ +Public Pre-Trained Models +========================= + +.. |rocket| image:: ../images/rocket.png + :width: 18 + +.. |star| image:: ../images/star.png + :width: 18 + .. _Classification: Classification diff --git a/docs/PUBLIC_MODELS_HAILO15M_Depth_Estimation.rst b/docs/public_models/HAILO15M_Depth_Estimation.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15M_Depth_Estimation.rst rename to docs/public_models/HAILO15M_Depth_Estimation.rst index 0a7d739c..203750c3 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Depth_Estimation.rst +++ b/docs/public_models/HAILO15M_Depth_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Depth Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Face_Attribute.rst b/docs/public_models/HAILO15M_Face_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO15M_Face_Attribute.rst rename to docs/public_models/HAILO15M_Face_Attribute.rst index 3084ae2b..b6aac8fc 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Face_Attribute.rst +++ b/docs/public_models/HAILO15M_Face_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Attribute: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Face_Detection.rst b/docs/public_models/HAILO15M_Face_Detection.rst similarity index 97% rename from docs/PUBLIC_MODELS_HAILO15M_Face_Detection.rst rename to docs/public_models/HAILO15M_Face_Detection.rst index 922282e6..80c74822 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Face_Detection.rst +++ b/docs/public_models/HAILO15M_Face_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Detection: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Face_Recognition.rst b/docs/public_models/HAILO15M_Face_Recognition.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15M_Face_Recognition.rst rename to docs/public_models/HAILO15M_Face_Recognition.rst index 97f6ce15..8d0a386d 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Face_Recognition.rst +++ b/docs/public_models/HAILO15M_Face_Recognition.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Recognition: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Facial_Landmark_Detection.rst b/docs/public_models/HAILO15M_Facial_Landmark_Detection.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO15M_Facial_Landmark_Detection.rst rename to docs/public_models/HAILO15M_Facial_Landmark_Detection.rst index 4e1a65fd..3d5b8783 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Facial_Landmark_Detection.rst +++ b/docs/public_models/HAILO15M_Facial_Landmark_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Facial Landmark Detection: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Hand_Landmark_detection.rst b/docs/public_models/HAILO15M_Hand_Landmark_detection.rst similarity index 91% rename from docs/PUBLIC_MODELS_HAILO15M_Hand_Landmark_detection.rst rename to docs/public_models/HAILO15M_Hand_Landmark_detection.rst index e30d6514..189585ac 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Hand_Landmark_detection.rst +++ b/docs/public_models/HAILO15M_Hand_Landmark_detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Hand Landmark detection: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Image_Denoising.rst b/docs/public_models/HAILO15M_Image_Denoising.rst similarity index 95% rename from docs/PUBLIC_MODELS_HAILO15M_Image_Denoising.rst rename to docs/public_models/HAILO15M_Image_Denoising.rst index 69f76597..5a6f523b 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Image_Denoising.rst +++ b/docs/public_models/HAILO15M_Image_Denoising.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Image Denoising: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Instance_Segmentation.rst b/docs/public_models/HAILO15M_Instance_Segmentation.rst similarity index 98% rename from docs/PUBLIC_MODELS_HAILO15M_Instance_Segmentation.rst rename to docs/public_models/HAILO15M_Instance_Segmentation.rst index 570c0086..733f0bd5 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Instance_Segmentation.rst +++ b/docs/public_models/HAILO15M_Instance_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Instance Segmentation: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Low_Light_Enhancement.rst b/docs/public_models/HAILO15M_Low_Light_Enhancement.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15M_Low_Light_Enhancement.rst rename to docs/public_models/HAILO15M_Low_Light_Enhancement.rst index 2a8840fd..d4b87cc1 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Low_Light_Enhancement.rst +++ b/docs/public_models/HAILO15M_Low_Light_Enhancement.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Low Light Enhancement: @@ -53,4 +53,3 @@ LOL - `download `_ - 52.7195 - 58.1534 - diff --git a/docs/PUBLIC_MODELS_HAILO15M_Object_Detection.rst b/docs/public_models/HAILO15M_Object_Detection.rst similarity index 99% rename from docs/PUBLIC_MODELS_HAILO15M_Object_Detection.rst rename to docs/public_models/HAILO15M_Object_Detection.rst index edc41b25..b8a7cc39 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Object_Detection.rst +++ b/docs/public_models/HAILO15M_Object_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Object Detection: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Person_Attribute.rst b/docs/public_models/HAILO15M_Person_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO15M_Person_Attribute.rst rename to docs/public_models/HAILO15M_Person_Attribute.rst index 4f3ccc07..cbc97e9e 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Person_Attribute.rst +++ b/docs/public_models/HAILO15M_Person_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 diff --git a/docs/PUBLIC_MODELS_HAILO15M_Person_Re-ID.rst b/docs/public_models/HAILO15M_Person_Re_ID.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO15M_Person_Re-ID.rst rename to docs/public_models/HAILO15M_Person_Re_ID.rst index a8b8ab78..d9ae1c87 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Person_Re-ID.rst +++ b/docs/public_models/HAILO15M_Person_Re_ID.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Person Re-ID: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Pose_Estimation.rst b/docs/public_models/HAILO15M_Pose_Estimation.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO15M_Pose_Estimation.rst rename to docs/public_models/HAILO15M_Pose_Estimation.rst index c3f76c8c..db3251da 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Pose_Estimation.rst +++ b/docs/public_models/HAILO15M_Pose_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Semantic_Segmentation.rst b/docs/public_models/HAILO15M_Semantic_Segmentation.rst similarity index 97% rename from docs/PUBLIC_MODELS_HAILO15M_Semantic_Segmentation.rst rename to docs/public_models/HAILO15M_Semantic_Segmentation.rst index 8855e644..a3e4d72b 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Semantic_Segmentation.rst +++ b/docs/public_models/HAILO15M_Semantic_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Semantic Segmentation: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Single_Person_Pose_Estimation.rst b/docs/public_models/HAILO15M_Single_Person_Pose_Estimation.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO15M_Single_Person_Pose_Estimation.rst rename to docs/public_models/HAILO15M_Single_Person_Pose_Estimation.rst index 3168471d..8907c2c8 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Single_Person_Pose_Estimation.rst +++ b/docs/public_models/HAILO15M_Single_Person_Pose_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Single Person Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO15M_Super_Resolution.rst b/docs/public_models/HAILO15M_Super_Resolution.rst similarity index 90% rename from docs/PUBLIC_MODELS_HAILO15M_Super_Resolution.rst rename to docs/public_models/HAILO15M_Super_Resolution.rst index 890551b4..70e4a512 100644 --- a/docs/PUBLIC_MODELS_HAILO15M_Super_Resolution.rst +++ b/docs/public_models/HAILO15M_Super_Resolution.rst @@ -1,3 +1,13 @@ + +Public Pre-Trained Models +========================= + +.. |rocket| image:: ../images/rocket.png + :width: 18 + +.. |star| image:: ../images/star.png + :width: 18 + .. _Super Resolution: Super Resolution diff --git a/docs/PUBLIC_MODELS_HAILO8L_Classification.rst b/docs/public_models/HAILO8L_Classification.rst similarity index 99% rename from docs/PUBLIC_MODELS_HAILO8L_Classification.rst rename to docs/public_models/HAILO8L_Classification.rst index 44cae64c..5eb01aef 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Classification.rst +++ b/docs/public_models/HAILO8L_Classification.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Classification: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Depth_Estimation.rst b/docs/public_models/HAILO8L_Depth_Estimation.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO8L_Depth_Estimation.rst rename to docs/public_models/HAILO8L_Depth_Estimation.rst index 93055fbe..051a8204 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Depth_Estimation.rst +++ b/docs/public_models/HAILO8L_Depth_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Depth Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Face_Attribute.rst b/docs/public_models/HAILO8L_Face_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8L_Face_Attribute.rst rename to docs/public_models/HAILO8L_Face_Attribute.rst index b5cee466..de7ff821 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Face_Attribute.rst +++ b/docs/public_models/HAILO8L_Face_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Attribute: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Face_Detection.rst b/docs/public_models/HAILO8L_Face_Detection.rst similarity index 97% rename from docs/PUBLIC_MODELS_HAILO8L_Face_Detection.rst rename to docs/public_models/HAILO8L_Face_Detection.rst index 25a9ea92..3a13bc93 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Face_Detection.rst +++ b/docs/public_models/HAILO8L_Face_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Detection: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Face_Recognition.rst b/docs/public_models/HAILO8L_Face_Recognition.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO8L_Face_Recognition.rst rename to docs/public_models/HAILO8L_Face_Recognition.rst index 0d7cc733..14fc2d6e 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Face_Recognition.rst +++ b/docs/public_models/HAILO8L_Face_Recognition.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Recognition: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Facial_Landmark_Detection.rst b/docs/public_models/HAILO8L_Facial_Landmark_Detection.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8L_Facial_Landmark_Detection.rst rename to docs/public_models/HAILO8L_Facial_Landmark_Detection.rst index ca868b69..57ec5d0d 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Facial_Landmark_Detection.rst +++ b/docs/public_models/HAILO8L_Facial_Landmark_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Facial Landmark Detection: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Hand_Landmark_detection.rst b/docs/public_models/HAILO8L_Hand_Landmark_detection.rst similarity index 91% rename from docs/PUBLIC_MODELS_HAILO8L_Hand_Landmark_detection.rst rename to docs/public_models/HAILO8L_Hand_Landmark_detection.rst index 36e35e77..0833404b 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Hand_Landmark_detection.rst +++ b/docs/public_models/HAILO8L_Hand_Landmark_detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Hand Landmark detection: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Image_Denoising.rst b/docs/public_models/HAILO8L_Image_Denoising.rst similarity index 95% rename from docs/PUBLIC_MODELS_HAILO8L_Image_Denoising.rst rename to docs/public_models/HAILO8L_Image_Denoising.rst index 32a80b65..284a027a 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Image_Denoising.rst +++ b/docs/public_models/HAILO8L_Image_Denoising.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Image Denoising: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Instance_Segmentation.rst b/docs/public_models/HAILO8L_Instance_Segmentation.rst similarity index 98% rename from docs/PUBLIC_MODELS_HAILO8L_Instance_Segmentation.rst rename to docs/public_models/HAILO8L_Instance_Segmentation.rst index 364ef676..a7b49985 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Instance_Segmentation.rst +++ b/docs/public_models/HAILO8L_Instance_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Instance Segmentation: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Low_Light_Enhancement.rst b/docs/public_models/HAILO8L_Low_Light_Enhancement.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO8L_Low_Light_Enhancement.rst rename to docs/public_models/HAILO8L_Low_Light_Enhancement.rst index fdd2ee31..e56bf19c 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Low_Light_Enhancement.rst +++ b/docs/public_models/HAILO8L_Low_Light_Enhancement.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Low Light Enhancement: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Object_Detection.rst b/docs/public_models/HAILO8L_Object_Detection.rst similarity index 99% rename from docs/PUBLIC_MODELS_HAILO8L_Object_Detection.rst rename to docs/public_models/HAILO8L_Object_Detection.rst index f520c25d..283f342e 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Object_Detection.rst +++ b/docs/public_models/HAILO8L_Object_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Object Detection: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Person_Attribute.rst b/docs/public_models/HAILO8L_Person_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8L_Person_Attribute.rst rename to docs/public_models/HAILO8L_Person_Attribute.rst index a8aeee8f..f46f25be 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Person_Attribute.rst +++ b/docs/public_models/HAILO8L_Person_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Person Attribute: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Single_Person_Pose_Estimation.rst b/docs/public_models/HAILO8L_Person_Re_ID.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO8L_Single_Person_Pose_Estimation.rst rename to docs/public_models/HAILO8L_Person_Re_ID.rst index 2b13d203..984d43f7 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Single_Person_Pose_Estimation.rst +++ b/docs/public_models/HAILO8L_Person_Re_ID.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Single Person Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Pose_Estimation.rst b/docs/public_models/HAILO8L_Pose_Estimation.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO8L_Pose_Estimation.rst rename to docs/public_models/HAILO8L_Pose_Estimation.rst index 0882315d..71980ade 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Pose_Estimation.rst +++ b/docs/public_models/HAILO8L_Pose_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Semantic_Segmentation.rst b/docs/public_models/HAILO8L_Semantic_Segmentation.rst similarity index 97% rename from docs/PUBLIC_MODELS_HAILO8L_Semantic_Segmentation.rst rename to docs/public_models/HAILO8L_Semantic_Segmentation.rst index e59020e6..9edc8a8e 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Semantic_Segmentation.rst +++ b/docs/public_models/HAILO8L_Semantic_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Semantic Segmentation: diff --git a/docs/public_models/HAILO8L_Single_Person_Pose_Estimation.rst b/docs/public_models/HAILO8L_Single_Person_Pose_Estimation.rst new file mode 100644 index 00000000..984d43f7 --- /dev/null +++ b/docs/public_models/HAILO8L_Single_Person_Pose_Estimation.rst @@ -0,0 +1,66 @@ + +Public Pre-Trained Models +========================= + +.. |rocket| image:: ../images/rocket.png + :width: 18 + +.. |star| image:: ../images/star.png + :width: 18 + +.. _Single Person Pose Estimation: + +Single Person Pose Estimation +----------------------------- + +COCO +^^^^ + +.. list-table:: + :widths: 24 8 9 18 9 8 9 8 7 7 7 + :header-rows: 1 + + * - Network Name + - AP + - Quantized + - Input Resolution (HxWxC) + - Params (M) + - OPS (G) + - Pretrained + - Source + - Compiled + - FPS (Batch Size=1) + - FPS (Batch Size=8) + * - mspn_regnetx_800mf |star| + - 70.8 + - 70.3 + - 256x192x3 + - 7.17 + - 2.94 + - `download `_ + - `link `_ + - `download `_ + - 176.8 + - 534.372 + * - vit_pose_small + - 74.16 + - 71.6 + - 256x192x3 + - 24.29 + - 17.17 + - `download `_ + - `link `_ + - `download `_ + - 25.6655 + - 91.1646 + * - vit_pose_small_bn + - 72.01 + - 70.81 + - 256x192x3 + - 24.32 + - 17.17 + - `download `_ + - `link `_ + - `download `_ + - 58.664 + - 199.924 diff --git a/docs/PUBLIC_MODELS_HAILO8L_Super_Resolution.rst b/docs/public_models/HAILO8L_Super_Resolution.rst similarity index 95% rename from docs/PUBLIC_MODELS_HAILO8L_Super_Resolution.rst rename to docs/public_models/HAILO8L_Super_Resolution.rst index 6e7abc7d..e8a80be7 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Super_Resolution.rst +++ b/docs/public_models/HAILO8L_Super_Resolution.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Super Resolution: diff --git a/docs/PUBLIC_MODELS_HAILO8L_Zero-shot_Classification.rst b/docs/public_models/HAILO8L_Zero_shot_Classification.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8L_Zero-shot_Classification.rst rename to docs/public_models/HAILO8L_Zero_shot_Classification.rst index db524618..db95eca7 100644 --- a/docs/PUBLIC_MODELS_HAILO8L_Zero-shot_Classification.rst +++ b/docs/public_models/HAILO8L_Zero_shot_Classification.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Zero-shot Classification: diff --git a/docs/PUBLIC_MODELS_HAILO8_Classification.rst b/docs/public_models/HAILO8_Classification.rst similarity index 99% rename from docs/PUBLIC_MODELS_HAILO8_Classification.rst rename to docs/public_models/HAILO8_Classification.rst index 7cb1b638..d2bd0731 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Classification.rst +++ b/docs/public_models/HAILO8_Classification.rst @@ -1,10 +1,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Classification: diff --git a/docs/PUBLIC_MODELS_HAILO8_Depth_Estimation.rst b/docs/public_models/HAILO8_Depth_Estimation.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO8_Depth_Estimation.rst rename to docs/public_models/HAILO8_Depth_Estimation.rst index 39861735..ca25db26 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Depth_Estimation.rst +++ b/docs/public_models/HAILO8_Depth_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Depth Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO8_Face_Attribute.rst b/docs/public_models/HAILO8_Face_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8_Face_Attribute.rst rename to docs/public_models/HAILO8_Face_Attribute.rst index 63fcd7c3..417529a1 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Face_Attribute.rst +++ b/docs/public_models/HAILO8_Face_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Attribute: diff --git a/docs/PUBLIC_MODELS_HAILO8_Face_Detection.rst b/docs/public_models/HAILO8_Face_Detection.rst similarity index 97% rename from docs/PUBLIC_MODELS_HAILO8_Face_Detection.rst rename to docs/public_models/HAILO8_Face_Detection.rst index 93b0c9a1..4492f923 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Face_Detection.rst +++ b/docs/public_models/HAILO8_Face_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Detection: diff --git a/docs/PUBLIC_MODELS_HAILO8_Face_Recognition.rst b/docs/public_models/HAILO8_Face_Recognition.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO8_Face_Recognition.rst rename to docs/public_models/HAILO8_Face_Recognition.rst index 7641e80d..245e20e5 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Face_Recognition.rst +++ b/docs/public_models/HAILO8_Face_Recognition.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Face Recognition: diff --git a/docs/PUBLIC_MODELS_HAILO8_Facial_Landmark_Detection.rst b/docs/public_models/HAILO8_Facial_Landmark_Detection.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8_Facial_Landmark_Detection.rst rename to docs/public_models/HAILO8_Facial_Landmark_Detection.rst index 0cb26e4a..2ade5ffd 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Facial_Landmark_Detection.rst +++ b/docs/public_models/HAILO8_Facial_Landmark_Detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Facial Landmark Detection: diff --git a/docs/PUBLIC_MODELS_HAILO8_Hand_Landmark_detection.rst b/docs/public_models/HAILO8_Hand_Landmark_detection.rst similarity index 91% rename from docs/PUBLIC_MODELS_HAILO8_Hand_Landmark_detection.rst rename to docs/public_models/HAILO8_Hand_Landmark_detection.rst index d16b78ad..67fe078a 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Hand_Landmark_detection.rst +++ b/docs/public_models/HAILO8_Hand_Landmark_detection.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Hand Landmark detection: diff --git a/docs/PUBLIC_MODELS_HAILO8_Image_Denoising.rst b/docs/public_models/HAILO8_Image_Denoising.rst similarity index 95% rename from docs/PUBLIC_MODELS_HAILO8_Image_Denoising.rst rename to docs/public_models/HAILO8_Image_Denoising.rst index ebcfc0a7..fef5b5e7 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Image_Denoising.rst +++ b/docs/public_models/HAILO8_Image_Denoising.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Image Denoising: diff --git a/docs/PUBLIC_MODELS_HAILO8_Instance_Segmentation.rst b/docs/public_models/HAILO8_Instance_Segmentation.rst similarity index 98% rename from docs/PUBLIC_MODELS_HAILO8_Instance_Segmentation.rst rename to docs/public_models/HAILO8_Instance_Segmentation.rst index 3684b3e4..a3b2978a 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Instance_Segmentation.rst +++ b/docs/public_models/HAILO8_Instance_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Instance Segmentation: diff --git a/docs/PUBLIC_MODELS_HAILO8_Low_Light_Enhancement.rst b/docs/public_models/HAILO8_Low_Light_Enhancement.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO8_Low_Light_Enhancement.rst rename to docs/public_models/HAILO8_Low_Light_Enhancement.rst index 2997981b..62d9f5d0 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Low_Light_Enhancement.rst +++ b/docs/public_models/HAILO8_Low_Light_Enhancement.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Low Light Enhancement: diff --git a/docs/PUBLIC_MODELS_HAILO8_Object_Detection.rst b/docs/public_models/HAILO8_Object_Detection.rst similarity index 99% rename from docs/PUBLIC_MODELS_HAILO8_Object_Detection.rst rename to docs/public_models/HAILO8_Object_Detection.rst index 704d323c..4e80b9e8 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Object_Detection.rst +++ b/docs/public_models/HAILO8_Object_Detection.rst @@ -1,10 +1,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Object Detection: diff --git a/docs/PUBLIC_MODELS_HAILO8_Person_Attribute.rst b/docs/public_models/HAILO8_Person_Attribute.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8_Person_Attribute.rst rename to docs/public_models/HAILO8_Person_Attribute.rst index c03474dc..a181d71d 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Person_Attribute.rst +++ b/docs/public_models/HAILO8_Person_Attribute.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Person Attribute: diff --git a/docs/PUBLIC_MODELS_HAILO8_Person_Re-ID.rst b/docs/public_models/HAILO8_Person_Re_ID.rst similarity index 94% rename from docs/PUBLIC_MODELS_HAILO8_Person_Re-ID.rst rename to docs/public_models/HAILO8_Person_Re_ID.rst index 0a0af14f..4d36f078 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Person_Re-ID.rst +++ b/docs/public_models/HAILO8_Person_Re_ID.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Person Re-ID: diff --git a/docs/PUBLIC_MODELS_HAILO8_Pose_Estimation.rst b/docs/public_models/HAILO8_Pose_Estimation.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO8_Pose_Estimation.rst rename to docs/public_models/HAILO8_Pose_Estimation.rst index 13eb2d8a..3608cee3 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Pose_Estimation.rst +++ b/docs/public_models/HAILO8_Pose_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO8_Semantic_Segmentation.rst b/docs/public_models/HAILO8_Semantic_Segmentation.rst similarity index 98% rename from docs/PUBLIC_MODELS_HAILO8_Semantic_Segmentation.rst rename to docs/public_models/HAILO8_Semantic_Segmentation.rst index a0a55f63..db73191e 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Semantic_Segmentation.rst +++ b/docs/public_models/HAILO8_Semantic_Segmentation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Semantic Segmentation: diff --git a/docs/PUBLIC_MODELS_HAILO8_Single_Person_Pose_Estimation.rst b/docs/public_models/HAILO8_Single_Person_Pose_Estimation.rst similarity index 96% rename from docs/PUBLIC_MODELS_HAILO8_Single_Person_Pose_Estimation.rst rename to docs/public_models/HAILO8_Single_Person_Pose_Estimation.rst index 0084cfa7..6067aebd 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Single_Person_Pose_Estimation.rst +++ b/docs/public_models/HAILO8_Single_Person_Pose_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Single Person Pose Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO8_Stereo_Depth_Estimation.rst b/docs/public_models/HAILO8_Stereo_Depth_Estimation.rst similarity index 91% rename from docs/PUBLIC_MODELS_HAILO8_Stereo_Depth_Estimation.rst rename to docs/public_models/HAILO8_Stereo_Depth_Estimation.rst index b2302875..6ff5db77 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Stereo_Depth_Estimation.rst +++ b/docs/public_models/HAILO8_Stereo_Depth_Estimation.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Stereo Depth Estimation: diff --git a/docs/PUBLIC_MODELS_HAILO8_Super_Resolution.rst b/docs/public_models/HAILO8_Super_Resolution.rst similarity index 95% rename from docs/PUBLIC_MODELS_HAILO8_Super_Resolution.rst rename to docs/public_models/HAILO8_Super_Resolution.rst index 2cb5f220..f44d41ed 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Super_Resolution.rst +++ b/docs/public_models/HAILO8_Super_Resolution.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Super Resolution: diff --git a/docs/PUBLIC_MODELS_HAILO8_Zero-shot_Classification.rst b/docs/public_models/HAILO8_Zero_shot_Classification.rst similarity index 92% rename from docs/PUBLIC_MODELS_HAILO8_Zero-shot_Classification.rst rename to docs/public_models/HAILO8_Zero_shot_Classification.rst index b723a52b..12bb70b6 100644 --- a/docs/PUBLIC_MODELS_HAILO8_Zero-shot_Classification.rst +++ b/docs/public_models/HAILO8_Zero_shot_Classification.rst @@ -2,10 +2,10 @@ Public Pre-Trained Models ========================= -.. |rocket| image:: images/rocket.png +.. |rocket| image:: ../images/rocket.png :width: 18 -.. |star| image:: images/star.png +.. |star| image:: ../images/star.png :width: 18 .. _Zero-shot Classification: