Feng Wang
Feng Wang
`-c weights/yolox_s.pth` is not needed here, and `yolox_s.pth` not a checkpoint file, it only contains model state.
I'm not so familar with nnpack. In my opinion, such cfg file should not be a python file?
Is there any eval result logged out? Which epoch during training are your process hangs ?
What if you try solution in #1316 @YuNaruto @yannixzhu
You might try `pip install -v -e .` first. @yannixzhu
You might refer code [here](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/yolox/exp/yolox_base.py#L41-L46) for your own coco format dataset. If you like, override `get_dataloader` method in `Exp` class could also help you.
Sorry, I couldn't catch the meaning of `draw debug image`. Are you mean `visualize image after transform` or `visualize prediction of image` or `visual prediction and ground truth of image`?
I think stucking during traning might be caused by long time compile and evaluation on master process only. Is it producible and what's the platform are you using? WSL?
duplicated with #1303
@paroj One possible way to workaround this issue is to compile the op at the begining (`python3 -m pip install -v -e .` first). It will compile fast_cocoeval and loading...