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wanggh
Swin-Transformer-Object-Detection
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abb3848a6aa0680232dcf65ce57a69ba7e95984e
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onnx
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v2.11.0
v2.10.0
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Bump version to v2.11.0 (#4870)
v2.11.0
v2.11.0
Use pip install to install mmdetection (#4879)
[Refactor]: move pycocotools version check to when it is used (#4880)
Fix supplement size in simple_test_bboxes (#4860)
[Feature]: support pytorch2onnx with batch and dynamic shape (#4796)
Fix some typos (#4858)
[Feature]: Add Localization Distillation for Object Detection (#4758)
Merge branch 'onnx' of github.com:open-mmlab/mmdetection into onnx
Support no gt test mode (#4827)
[Feature]: Add mmdet2torchserve tool (#4810)
[Fix]: minor syntax typo fix (#4836)
[feature] improve coco_error_analysis.py (#4712)
Support no gt test mode (#4827)
[Feature]: Add mmdet2torchserve tool (#4810)
[Fix]: minor syntax typo fix (#4836)
[feature] improve coco_error_analysis.py (#4712)
[Refactor]: Add deprecate warnings of LoadImage (#4813)
Add fcos, fsaf, ssd head unittest case and fix fcos deploy bug (#4781)
[Feature]: Support ONNX tracable Batch Inference for Faster R-CNN (#4785)
Update mmcv_maximum_version (#4823)
Fix custom.py docstr error (#4807)
[Feature]: Add check for ann_ids not unique (#4789)
[Enhancement]: Fix torch.nonzero warning (#4805)
Fix TridentNet batch inference bug (#4717)
Correct docstring data type (#4770)
Add onnxruntime unit test cases (#4704)
Fix parse error in XMLDataset (#4729)
Update anchor_head.py (#4764)
[Refactor]: Support batch inference traceable by ONNX in SSD, YOLOv3, FSAF, RetinaNet, and FCOS (#4699)
Fix RPN show_result error (#4716)
Add FAQ (#4742)
[Enhance]:Update error_analysis docs (#4683)
[Feature]:Support dynamic shape input in some two_stage functions (#4726)
Fix FASF onnx export support (#4735)
Fix float image show error (#4732)
[Refactor]: support batch input in bbox coder (#4721)
[Fix]: fix tensor on different device error (#4720)
[Feature]: Add parser argument 'cfg-options' for some tools (#4691)
[Fix]: Fix typos in useful_tools.md (#4701)
[Feature]: export onnx model to support dynamic input size (#4685)
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