Closed purvang3 closed 2 years ago
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@purvang3 yes mAP mismatch with pycocotools is a known issue, and there's actually an open competition to solve it in https://github.com/ultralytics/yolov5/issues/2258
We also have a few PRs related to mAP updates from users that you could try:
@purvang3 yes mAP mismatch with pycocotools is a known issue, and there's actually an open competition to solve it in #2258
We also have a few PRs related to mAP updates from users that you could try:
* [Improve mAP0.5-0.95 #6787](https://github.com/ultralytics/yolov5/pull/6787) * [Fix mAP bug at a higher conf #6813](https://github.com/ultralytics/yolov5/pull/6813)
I had the same problem.
test.py in v4.0、v5.0 is OK.
val.py in v6.0、v6.1 is not OK.
Please see blow.
@dotnet-rs-py we have a warning in place to advise users of incorrect settings. mAP should be calculated at --conf 0.0 for best results, we compute at --conf 0.001 for significant speed improvements at near identical results. Anything above that will not allow for a full integration of the PR curve from 0 to 1, which will result in incorrect mAP.
https://github.com/ultralytics/yolov5/blob/99de551f979f6aca1f817504831c821cff64b5fd/val.py#L352-L353
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YOLOv5 Component
Validation
Bug
I see results are not same for mAP@0.50 and mAP@0.50:0.95 during training after each epoch. I have made changes in val.py accordingly as I am using "xywh" format for bboxes.
I have commented line
box[:, :2] -= box[:, 2:] / 2 # xy center to top-left corner as my gt in xywh format.
Environment
YOLOv5 🚀 v6.0-144-gc9a46a6 torch 1.10.2 CUDA:0 (NVIDIA RTX A4000, 16116MiB)
os : Ubuntu 18.04
Minimal Reproducible Example
make save_json in val.run=True and start training.
Additional
No response
Are you willing to submit a PR?