Comments (3)
我的也是同样的情况,置信度都接近于1了。这是怎么回事呀
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原版的yolov5里,置信度等于目标框置信度和类别置信度的乘积,我这里的程序没有做这一步处理,导致最后得到的置信度很高,你可以在程序里加上这一步
from yolov5-dnn-cpp-python.
你是说在做归一化之前吗?这里应该单独标出类别置信度吧,还是标记目标框置信度和类别置信度?
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Related Issues (20)
- OpenCV开了cuda加速,但是没有提升,会是什么原因呢?
- Does it work for own pretrained weights? HOT 1
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- 如何使用GPU加速? HOT 2
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- terminate called after throwing an instance of 'cv::Exception'
- undefined symbol: _ZN2cv3dnn14dnn4_v202009083Net7forwardERKNS_12 HOT 1
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- error: (-215:Assertion failed) model_proto.has_graph() in function 'populateNet' HOT 3
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- cpp 加载模型失败 Required argument "starts" not found into dictionary in function 'get' 求助!!!! HOT 2
- python 如何用opencv部署? HOT 1
- File "convert_onnx.py", line 57, in <module> del utl_param['24.anchor_grid'] KeyError: '24.anchor_grid' HOT 3
- 请问这个 c++ demo入和运行 HOT 1
- Error and optimization HOT 1
- 您导出的yolov5s.onnx的推理结果和原版python差别很大
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