Comments (2)
commented on June 11, 2024
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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kiddliao
commented on June 11, 2024
想问下楼主 yolov4用什么转换的呢
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Related Issues (20)
- 请问如何进行批量测试
- Check failed: error == cudaSuccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version HOT 1
- Neural Network Accelerator support HOT 1
- 在运行demo时出现"段错误 (核心已转储)" HOT 7
- image im = mat_to_image(mat);
- 运行后出现void check_error(cudaError_t): Assertion `0' failed. CUDA Error: no kernel image is available for execution on the device HOT 1
- A question about how to run other caffemodel?
- make caffe-yolov3时报错（libyolov3-plugin.so）
- 大佬，我的电脑上没有cuda如何将cmake里面的cuda去掉啊 HOT 5
- Please publish models for download form other service
- Segment fault HOT 3
- Have difficulty in fixing KeyError: 'layer1-conv' HOT 3
- How to convert Yolov4-tiny darknet to caffe?
- Segmentation fault (core dumped) HOT 1
- 转换后的yolov4模型，检测框偏大，不准确
- 似乎没有提供训练的代码？是用AB版训然后转caffe模型？
- model link失效
- make[1]: *** [CMakeFiles/yolov3-plugin.dir/all] Error 2
- Can we use OpenCL for AMD GPU? Caffe has OpenCL support.
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