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Release MMDetection V2.11.0 Release · open-mmlab/mmdetection · GitHub
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MMDetection V2.11.0 Release
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Highlights
- Support new method: Localization Distillation for Object Detection
- Support Pytorch2ONNX with batch inference and dynamic shape
New Features
- Support localization distillation for object detection (#4758)
- Support Pytorch2ONNX with batch inference and dynamic shape for Faster-RCNN and mainstream one-stage detectors (#4796)
Improvements
- Support batch inference in head of RetinaNet (#4699)
- Add batch dimension in second stage of Faster-RCNN (#4785)
- Support batch inference in bbox coder (#4721)
- Add check for
ann_ids
inCOCODataset
to ensure it is unique (#4789) - support for showing the RPN results (#4716)
- support dynamic shape for grid_anchor (#4684)
- Support automatic statistical evaluation results and export them to EXCEL (#4693)
- Move pycocotools version check to when it is used (#4880)
Bug Fixes
- Fix a bug of TridentNet when doing the batch inference (#4717)
- Fix a bug of Pytorch2ONNX in FASF (#4735)
- Fix a bug when show the image with float type (#4732)
New Contributors
- @tangyanf made their first contribution in #4685
- @FreePoet made their first contribution in #4701
- @SeongjaeHong made their first contribution in #4770
- @ShoufaChen made their first contribution in #4805
- @tczhao made their first contribution in #4836
- @HikariTJU made their first contribution in #4758
- @ppwwyyxx made their first contribution in #4880
- @hcy226 made their first contribution in #4879
Full Changelog: v2.10.0...v2.11.0
Assets 2
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