Highlights

• Support PVT and PVTv2
• Support SOLO
• Support large scale jittering and New Mask R-CNN baselines
• Speed up YOLOv3 inference

New Features

• Support PVT and PVTv2 (#5780)
• Support SOLO (#5832)
• Support large scale jittering and New Mask R-CNN baselines (#6132)
• Add a general data structrue for the results of models (#5508)
• Added a base class for one-stage instance segmentation (#5904)
• Speed up YOLOv3 inference (#5991)
• Release Swin Transformer pre-trained models (#6100)
• Support mixed precision training in YOLOX (#5983)
• Support val workflow in YOLACT (#5986)
• Add script to test torchserve (#5936)
• Support onnxsim with dynamic input shape (#6117)

Bug Fixes

• Fix the function naming errors in model_wrappers (#5975)
• Fix regression loss bug when the input is an empty tensor (#5976)
• Fix scores not contiguous error in centernet_head (#6016)
• Fix missing parameters bug in imshow_bboxes (#6034)
• Fix bug in aug_test of HTC when the length of det_bboxes is 0 (#6088)
• Fix empty proposal errors in the training of some two-stage models (#5941)
• Fix dynamic_axes parameter error in ONNX dynamic shape export (#6104)
• Fix dynamic_shape bug of SyncRandomSizeHook (#6144)
• Fix the Swin Transformer config link error in the configuration (#6172)

Improvements

• Add filter rules in Mosaic transform (#5897)
• Add size divisor in get flops to avoid some potential bugs (#6076)
• Add Chinese translation of docs_zh-CN/tutorials/customize_dataset.md (#5915)
• Add Chinese translation of conventions.md (#5825)
• Add description of the output of data pipeline (#5886)
• Add dataset information in the README file for PanopticFPN (#5996)
• Add extra_repr for DropBlock layer to get details in the model printing (#6140)
• Fix CI out of memory and add PyTorch1.9 Python3.9 unit tests (#5862)
• Fix download links error of some model (#6069)
• Improve the generalization of XML dataset (#5943)
• Polish assertion error messages (#6017)
• Remove opencv-python-headless dependency by albumentations (#5868)
• Check dtype in transform unit tests (#5969)
• Replace the default theme of documentation with PyTorch Sphinx Theme (#6146)
• Update the paper and code fields in the metafile (#6043)
• Support to customize padding value of segmentation map (#6152)
• Support to resize multiple segmentation maps (#5747)

Contributors

A total of 24 developers contributed to this release. Thanks @morkovka1337, @HarborYuan, @guillaumefrd, @guigarfr, @www516717402, @gaotongxiao, @ypwhs, @MartaYang, @shinya7y, @justiceeem, @zhaojinjian0000, @VVsssssk, @aravind-anantha, @wangbo-zhao, @czczup, @whai362, @czczup, @marijnl, @AronLin, @BIGWangYuDong, @hhaAndroid, @jshilong, @RangiLyu, @ZwwWayne

New Contributors

• @www516717402 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5975
• @gaotongxiao made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6017
• @MartaYang made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6034
• @justiceeem made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5915
• @zhaojinjian0000 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5897
• @VVsssssk made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5936
• @aravind-anantha made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6104
• @czczup made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5780
• @marijnl made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5886
• @HarborYuan made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5747
• @morkovka1337 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6172
• @guillaumefrd made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6140

Full Changelog: https://github.com/open-mmlab/mmdetection/compare/v2.16.0...v2.17.0