Wang Ao

Thanks for your interest! During training, we set `val_period=10` in `default.yaml` to only perform validation every 10 epochs and the mAP thus remains the same for every 10 epochs. >...

Thanks for your interest! Does this issue #118 help?

Please feel free to reopen this issue if you have further questions.

Thanks for your interest! Could you please provide more details about your setup? In our local environment with 8*3090, each epoch of training YOLOv10-N costs ~1min54s, which is similar to...

Does the codebase share the same python environment with the v8 (official)? > @jameslahm Thanks. I used 1*3090 to train YOLOv10n (cache ram), each epoch costs 2min 54s, while YOLOv8n...

Thanks. Could you please provide the details of how you launch the training in this codebase and the v8 (official)?

@wer751 @woshicaiji250 Thanks! Could you please check if it works after applying these changes? Thank you! 

Thanks! Could you please apply the below patch and try again? Thank you! [diff.patch](https://github.com/THU-MIG/yolov10/files/15479862/diff.patch)

Thanks for the fantastic demo and detailed evaluation! We previously posted a comment on your demo page to provide some clarification. https://huggingface.co/spaces/SkalskiP/YOLO-ARENA/discussions/1. Thanks!

> * Loss of accuracy resulting from conversion to ONNX (is this expected)? @SkalskiP Thanks. We try to simulate the loss of accuracy in our local environment. We infer the...