How to perform single class NMS (all overlapping bboxes to be discarded except for the highly confident ones without considering label)? - Githubissues

tinyvision / DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Apache License 2.0

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How to perform single class NMS (all overlapping bboxes to be discarded except for the highly confident ones without considering label)? #150

Closed optimisticabouthumanity closed 3 months ago

optimisticabouthumanity commented 3 months ago

Before Asking

[X] I have read the README carefully. 我已经仔细阅读了README上的操作指引。
[X] I want to train my custom dataset, and I have read the tutorials for finetune on your data carefully and organize my dataset correctly; 我想训练自定义数据集，我已经仔细阅读了训练自定义数据的教程，以及按照正确的目录结构存放数据集。
[X] I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码，重新运行之后，问题仍不能解决。

Search before asking

[X] I have searched the DAMO-YOLO issues and found no similar questions.

Question

Hi, I'd like to perform NMS without considering class label. How can achieve that in DAMO-YOLO codebase?

Additional

No response

optimisticabouthumanity commented 3 months ago

found a way to do that.