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同样一张图,在API和demo中测试结果不一样
用API
lpr3 rest --port 8715 --host 0.0.0.0 http://localhost:8715/api/v1/docs 得到结果: { "result": { "plate_list": [ { "code": "鄂B6TJ39", "conf": 0.9889689683914185, "plate_type": "蓝牌", "box": [ 844, 425, 1025, 533 ] } ] }, "code": 5000, "msg": "请求成功" }
跑demo: path: HyperLPR/Prj-Python python3 fast_test.py 得到结果,会识别成新能源汽车 [['鄂B6TJ391', 0.9156234, 3, [845, 421, 1022, 535]]]
这两个有什么不同呢?
The text was updated successfully, but these errors were encountered:
好像就多了一位,车牌就变成新能源了,识别靠的是位置,应该没有颜色信息的参考
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同样一张图,在API和demo中测试结果不一样
用API
start server
lpr3 rest --port 8715 --host 0.0.0.0
http://localhost:8715/api/v1/docs
得到结果:
{
"result": {
"plate_list": [
{
"code": "鄂B6TJ39",
"conf": 0.9889689683914185,
"plate_type": "蓝牌",
"box": [
844,
425,
1025,
533
]
}
]
},
"code": 5000,
"msg": "请求成功"
}
跑demo:
path: HyperLPR/Prj-Python
python3 fast_test.py
得到结果,会识别成新能源汽车
[['鄂B6TJ391', 0.9156234, 3, [845, 421, 1022, 535]]]
这两个有什么不同呢?
The text was updated successfully, but these errors were encountered: