Closed quanh1990 closed 3 years ago
Fine... If you really wanna use opset 9, you have to check out which operations this version doesn't support. I suppose the issue may come from the nearest upsample and the focus slice operator. So you may change to bilinear upsample (very little performance influence) and replace the focus with a normal conv 3x3 and fine-tune the model.
Fine... If you really wanna use opset 9, you have to check out which operations this version doesn't support. I suppose the issue may come from the nearest upsample and the focus slice operator. So you may change to bilinear upsample (very little performance influence) and replace the focus with a normal conv 3x3 and fine-tune the model.
Thanks a lot! I'll try.
Have you succeeded in visualization
Have you succeeded in visualization
Very successful, what is your problem?
Have you succeeded in visualization
没啥问题兄弟,你遇到啥问题?
你可视化成功了吗
没啥问题兄弟,你遇到啥问题?
可以pull一下你的执行语句吗?参数配置
你可视化成功了吗
没啥问题兄弟,你遇到啥问题?
可以pull一下你的执行语句吗?参数配置
哪个环节?训练/eval还是推理?
你可视化成功了吗
没啥问题兄弟,你遇到啥问题?
可以pull一下你的执行语句吗?参数配置
哪个环节?训练/eval还是推理?
网络结构可视化
你可视化成功了吗
没啥问题兄弟,你遇到啥问题?
可以pull一下你的执行语句吗?参数配置
哪个环节?训练/eval还是推理?
网络结构可视化
就是将pth权重文件转化为onnx格式文件的语句
Hello, 请问你转onnx用opset=9成功了嘛,请问具体是怎么做的呢,有分支可以参考一下嘛?
0001-Fix-onnx-export-opset-9-segmentation-fault-issue.patch.zip
尝试了个patch但是需要重新训练,感兴趣的可以试一下
Is the lowest version of onnx opset 10 ?
python3 tools/export_onnx.py \ --output-name weights/yolox_s.onnx \ -f exps/example/yolox_voc/yolox_voc_s.py \ -n yolox-s \ -c YOLOX_outputs/yolox_voc_s/best_ckpt.pth.tar \ -o 9
Then I got Segmentation fault (core dumped)
Thanks