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您好,用您的代码转换yolov4后识别框是乱的。我把caffe(yolov4.caffemodel)和pytorch 运行(yolov4.weight)的网络输入数据设置成全1,三层输出得featureMap caffe 和 pytorch完全不一样。
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hello,我转换出来的caffe模型也出现精度下降问题,比原版用darknet跑出来的结果低大约5%,caffe输出的featuremap和darknet输出的相比有略微差异,数值差异约在1e-1~1e-3的范围,目前还没找到具体原因
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想问下楼主 yolov4用什么转换的呢
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您好,用您的代码转换yolov4后识别框是乱的。我把caffe(yolov4.caffemodel)和pytorch 运行(yolov4.weight)的网络输入数据设置成全1,三层输出得featureMap caffe 和 pytorch完全不一样。
The text was updated successfully, but these errors were encountered: