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您好: ppyoloe_crn_s_300e_coco.pth在640x640分辨率下测试比yolov5s.pt慢很多,各自的速度分别为5ms和9ms左右。 我的环境是3060ti, pytorch10。 请问您对比过吗
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我没有试过yolov5,请问您有仔细比较二者的差异吗?比如yolov5测速时是否不包括前处理、后处理(box解码和nms)的时间?yolov5是否合并了卷积层和bn层?yolov5是否使用了fp16进行预测?两个仓库预测时的批大小是否都一致?两个仓库上述条件一致才好比较。另外,你可以将self.eval_data_num_workers设置得大一点来加速。我默认写小了是为了照顾电脑配置不够高的用户。
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您好:
ppyoloe_crn_s_300e_coco.pth在640x640分辨率下测试比yolov5s.pt慢很多,各自的速度分别为5ms和9ms左右。
我的环境是3060ti, pytorch10。
请问您对比过吗
The text was updated successfully, but these errors were encountered: