zju-lishuang / yolov5_tensorrt Goto Github PK
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License: GNU General Public License v3.0
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求助贴
我遇到一个问题，用RT去部署yolov5-6.0版本，和您基本一样的实现方式，并没有用tensorRTX的重新构建模型的方式，而是直接用RT去前向onnx，但是呢？出来的结果是python版本和RT版本的框位置基本已知，但是框体的得分值不太一致。不知道作者的是否能保持python版本的C++版本的一致性，特别是框体得分值这部分？？？（预处理以保证一致）
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