github open-mmlab/mmdetection v2.16.0
MMDetection V2.16.0 Release

latest releases: v3.3.0, v3.2.0, v3.1.0...
3 years ago

Highlights

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

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

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