Highlights

• Release a high-precision, low-latency single-stage object detector RTMDet.

Bug Fixes

• Fix UT to be compatible with PyTorch 1.6 (#8707)
• Fix NumClassCheckHook bug when model is wrapped (#8794)
• Update the right URL of R-50-FPN with BoundedIoULoss (#8805)
• Fix potential bug of indices in RandAugment (#8826)
• Fix some types and links (#8839, #8820, #8793, #8868)
• Fix incorrect background fill values in FSAF and RepPoints Head (#8813)

Improvements

• Refactored anchor head and base head with box type (#8625)
• Refactored SemiBaseDetector and SoftTeacher (#8786)
• Add list to dict keys to avoid modify loss dict (#8828)
• Update analyze_results.py , analyze_logs.py and loading.py (#8430, #8402, #8784)
• Support dump results in test.py (#8814)
• Check empty predictions in DetLocalVisualizer._draw_instances (#8830)
• Fix floordiv warning in SOLO (#8738)

Contributors

A total of 16 developers contributed to this release.

Thanks @ZwwWayne, @jbwang1997, @Czm369, @ice-tong, @Zheng-LinXiao, @chhluo, @RangiLyu, @liuyanyi, @wanghonglie, @levan92, @JiayuXu0, @nye0, @hhaAndroid, @xin-li-67, @shuxp, @zytx121

New Contributors

• @YvesXu made their first contribution in https://github.com/open-mmlab/mmdetection/pull/8871
• @xin-li-67 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/8868

Full Changelog: https://github.com/open-mmlab/mmdetection/compare/v3.0.0rc0...v3.0.0rc1