Breaking Changes

In order to support the visualization for Panoptic Segmentation, the num_classes can not be None when using the get_palette function to determine whether to use the panoptic palette.

Highlights

• Support MaskFormer: Per-Pixel Classification is Not All You Need for Semantic Segmentation (#7212)
• Support DyHead: Dynamic Head: Unifying Object Detection Heads with Attentions (#6823)
• Release a good recipe of using ResNet in object detectors pre-trained by ResNet Strikes Back, which consistently brings about 3~4 mAP improvements over RetinaNet, Faster/Mask/Cascade Mask R-CNN (#7001)
• Support Open Images Dataset (#6331)
• Support TIMM backbone: PyTorch Image Models (#7020)

New Features

• Support MaskFormer (#7212)
• Support DyHead (#6823)
• Support ResNet Strikes Back (#7001)
• Support OpenImages Dataset (#6331)
• Support TIMM backbone (#7020)
• Support visualization for Panoptic Segmentation (#7041)

Bug Fixes

• Fix bug for the best checkpoints can not be saved when the key_score is None (#7101)
• Fix MixUp transform filter boxes failing case (#7080)
• Add missing properties in SABLHead (#7091)
• Fix bug when NaNs exist in confusion matrix (#7147)
• Fix PALETTE AttributeError in downstream task (#7230)

Improvements

• Speed up SimOTA matching (#7098)
• Add Chinese translation of docs_zh-CN/tutorials/init_cfg.md (#7188)

Contributors

A total of 20 developers contributed to this release. Thanks @ZwwWayne, @hhaAndroid, @RangiLyu, @AronLin, @BIGWangYuDong, @jbwang1997, @zytx121, @chhluo, @shinya7y, @LuooChen, @dvansa, @siatwangmin, @del-zhenwu, @vikashranjan26, @haofanwang, @jamiechoi1995, @HJoonKwon, @yarkable, @zhijian-liu, @RangeKing

New Contributors

• @LuooChen made their first contribution in https://github.com/open-mmlab/mmdetection/pull/7101
• @dvansa made their first contribution in https://github.com/open-mmlab/mmdetection/pull/7080
• @siatwangmin made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6476
• @vikashranjan26 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/7091
• @RangeKing made their first contribution in https://github.com/open-mmlab/mmdetection/pull/7215
• @zhijian-liu made their first contribution in https://github.com/open-mmlab/mmdetection/pull/7175
• @HJoonKwon made their first contribution in https://github.com/open-mmlab/mmdetection/pull/7187
• @yarkable made their first contribution in https://github.com/open-mmlab/mmdetection/pull/7188

Full Changelog: https://github.com/open-mmlab/mmdetection/compare/v2.21.0...v2.22.0