open-mmlab/mmdetection v3.0.0rc5 on GitHub

Highlights

Support RTMDet instance segmentation models. The technical report of RTMDet is on arxiv
Support SSHContextModule in paper SSH: Single Stage Headless Face Detector.

Support RTMDet instance segmentation models and improve RTMDet test config (#9494)
Support SSHContextModule in paper SSH: Single Stage Headless Face Detector (#8953)
Release CondInst pre-trained model (#9406)

Fix CondInst predict error when batch_size is greater than 1 in inference (#9400)
Fix the bug of visualization when the dtype of the pipeline output image is not uint8 in browse dataset (#9401)
Fix analyze_logs.py to plot mAP and calculate train time correctly (#9409)
Fix backward inplace error with PAFPN (#9450)
Fix config import links in model converters (#9441)
Fix DeformableDETRHead object has no attribute loss_single (#9477)
Fix the logic of pseudo bboxes predicted by teacher model in SemiBaseDetector (#9414)
Fix demo API in instance segmentation tutorial (#9226)
Fix analyze_results (#9380)
Fix the error that Readthedocs API cannot be displayed (#9510)

Remove legacy builder.py (#9479)
Make sure the pipeline argument shape is in (width, height) order (#9324)
Add .pre-commit-config-zh-cn.yaml file (#9388)
Refactor dataset metainfo to lowercase (#9469)
Add PyTorch 1.13 checking in CI (#9478)
Adjust FocalLoss and QualityFocalLoss to allow different kinds of targets (#9481)
Refactor setup.cfg (#9370)
Clip saturation value to valid range [0, 1] (#9391)
Only keep meta and state_dict when publishing model (#9356)
Add segm evaluator in ms-poly_3x_coco_instance config (#9524)
Update deployment guide (#9527)
Update zh_cn faq.md (#9396)
Update get_started (#9480)
Update the zh_cn user_guides of useful_tools.md and useful_hooks.md (#9453)
Add type hints for bfp and channel_mapper (#9410)
Add type hints of several losses (#9397)
Add type hints and update docstring for task modules (#9468)

A total of 20 developers contributed to this release.

Full Changelog: v3.0.0rc4...v3.0.0rc5