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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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你好,感谢你的分享,请问代码中
https://github.com/bubbliiiing/yolov4-tf2/blob/a4cf127a49792a296db549d006dbef4f452770d1/nets/yolo4.py#L238
使用的NMS好像不是论文中使用的DIoU-NMS是出于什么考虑呢?谢谢!
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Where do I need to modify to use the DIOU-NMS? thank you.
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Hi, I have a question. I replaced giou in the configuration file with diou, and the code can be trained normally without encountering the Nan situation, which may be because diou considers the situati…
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Thank you very much for this interesting work. I added the diou to the IOU loss as a penalty item, but the network loss reached NaN during training?
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Is it possible to compute DIoU loss on Quadrilateral bboxes?
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https://arxiv.org/pdf/1911.08287.pdf
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### Prerequisite
- [X] I have searched [Issues](https://github.com/open-mmlab/mmdetection3d/issues) and [Discussions](https://github.com/open-mmlab/mmdetection3d/discussions) but cannot get the expec…
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Hi,@cenit, Maybe I found a code bug.
It's not a error.But it haven't do the thing correctly.
In yolo_layer.c:
```
args->tot_iou += all_ious.iou;
args->tot_iou_los…
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Should this two losses be added to keras_cv.losses ?
1. DIoU (Distance over IoU) Loss is independent to the size of the object being detected. It is seen to converge mush faster than GIoU even with…