open-mmlab/mmdetection v2.16.0

MMDetection V2.16.0 Release

on GitHub

Highlights

• Support Panoptic FPN and Swin Transformer

New Features

• Support Panoptic FPN and release models (#5577, #5902)
• Support Swin Transformer backbone (#5748)
• Release RetinaNet models pre-trained with multi-scale 3x schedule (#5636)
• Add script to convert unlabeled image list to coco format (#5643)
• Add hook to check whether the loss value is valid (#5674)
• Add YOLO anchor optimizing tool (#5644)
• Support export onnx models without post process. (#5851)
• Support classwise evaluation in CocoPanopticDataset (#5896)
• Adapt browse_dataset for concatenated datasets. (#5935)
• Add PatchEmbed and PatchMerging with AdaptivePadding (#5952)

Bug Fixes

• Fix unit tests of YOLOX (#5859)
• Fix lose randomness in imshow_det_bboxes (#5845)
• Make output result of ImageToTensor contiguous (#5756)
• Fix inference bug when calling regress_by_class in RoIHead in some cases (#5884)
• Fix bug in CIoU loss where alpha should not have gradient. (#5835)
• Fix the bug that multiscale_output is defined but not used in HRNet (#5887)
• Set the priority of EvalHook to LOW. (#5882)
• Fix a YOLOX bug when applying bbox rescaling in test mode (#5899)
• Fix mosaic coordinate error (#5947)
• Fix dtype of bbox in RandomAffine. (#5930)

Improvements

• Add Chinese version of data_pipeline and (#5662)
• Support to remove state dicts of EMA when publishing models. (#5858)
• Refactor the loss function in HTC and SCNet (#5881)
• Use warnings instead of logger.warning (#5540)
• Use legacy coordinate in metric of VOC (#5627)
• Add Chinese version of customize_losses (#5826)
• Add Chinese version of model_zoo (#5827)

Contributors

A total of 19 developers contributed to this release.
Thanks @ypwhs, @zywvvd, @collinzrj, @OceanPang, @ddonatien, @@haotian-liu, @viibridges, @Muyun99, @guigarfr, @zhaojinjian0000, @jbwang1997,@wangbo-zhao, @xvjiarui, @RangiLyu, @jshilong, @AronLin, @BIGWangYuDong, @hhaAndroid, @ZwwWayne

New Contributors

• @zywvvd made their first contribution in #5756
• @ddonatien made their first contribution in #5926
• @viibridges made their first contribution in #5899
• @haotian-liu made their first contribution in #5882
• @Muyun99 made their first contribution in #5973
• @jbwang1997 made their first contribution in #5827

Full Changelog: v2.15.1...v2.16.0