fix bug in mean_ap by 11 points

[ZephyrusKylin]

No description provided.

[CLAassistant]

All committers have signed the CLA.

[codecov]

Codecov Report

Merging #4875 (467202a) into master (5af5063) will increase coverage by 1.08%.
The diff coverage is 89.40%.

❗ Current head 467202a differs from pull request most recent head d88ca23. Consider uploading reports for the commit d88ca23 to get more accurate results

@@            Coverage Diff             @@
##           master    #4875      +/-   ##
==========================================
+ Coverage   64.33%   65.41%   +1.08%     
==========================================
  Files         252      255       +3     
  Lines       19860    19981     +121     
  Branches     3383     3398      +15     
==========================================
+ Hits        12776    13070     +294     
+ Misses       6405     6212     -193     
- Partials      679      699      +20     

Flag	Coverage Δ
unittests	65.38% <89.40%> (+1.08%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmdet/core/bbox/assigners/atss_assigner.py	93.50% <ø> (+77.92%)	⬆️
mmdet/core/bbox/assigners/base_assigner.py	100.00% <ø> (+20.00%)	⬆️
mmdet/core/bbox/assigners/hungarian_assigner.py	88.37% <ø> (ø)
mmdet/core/bbox/assigners/max_iou_assigner.py	72.36% <ø> (ø)
mmdet/core/bbox/coder/base_bbox_coder.py	100.00% <ø> (+20.00%)	⬆️
mmdet/core/bbox/coder/bucketing_bbox_coder.py	63.76% <ø> (ø)
...mdet/core/bbox/iou_calculators/iou2d_calculator.py	96.77% <ø> (ø)
mmdet/core/bbox/match_costs/match_cost.py	93.61% <ø> (ø)
mmdet/core/evaluation/class_names.py	36.00% <ø> (ø)
mmdet/core/evaluation/mean_ap.py	41.63% <0.00%> (ø)
... and 46 more

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 5af5063...d88ca23. Read the comment docs.

[OpenMMLab-Assistant-007]

Hi!
@ZephyrusKylin
First of all, we want to express our gratitude for your significant PR in the OpenMMLab project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.

We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. Look forward to seeing you there! Join us ：https://discord.gg/UjgXkPWNqA

If you have WeChat account，welcome to join our community on WeChat. You can add our assistant ：openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends：）
Thank you again for your contribution❤