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License: GNU General Public License v3.0
yolov5部署
License: GNU General Public License v3.0
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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