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Bump to v2.4.0 (open-mmlab#3663)
* Bump to v2.4.0 * update change log and benchmark * reformat * fix typo * resolve comments * Update requirement in doc Co-authored-by: ZwwWayne <[email protected]>
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‎.dev_scripts/benchmark_filter.py

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'cascade_rcnn', 'double_heads', 'fcos', 'foveabox', 'free_anchor',
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'grid_rcnn', 'guided_anchoring', 'htc', 'libra_rcnn', 'atss', 'mask_rcnn',
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'ms_rcnn', 'nas_fpn', 'reppoints', 'retinanet', 'ssd', 'gn', 'ghm', 'fsaf',
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'point_rend', 'nas_fcos', 'pisa', 'dynamic_rcnn'
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'point_rend', 'nas_fcos', 'pisa', 'dynamic_rcnn', 'gfl', 'sabl', 'paa',
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'yolo'
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]
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datasets_root = ['wider_face', 'pascal_voc', 'cityscapes', 'mask_rcnn']
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'configs/pascal_voc/ssd300_voc0712.py',
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'configs/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco.py',
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'configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py',
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'configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py'
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'configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py',
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'configs/gfl/gfl_r50_fpn_1x_coco.py',
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'configs/paa/paa_r50_fpn_1x_coco.py',
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'configs/sabl/sabl_retinanet_r50_fpn_1x_coco.py',
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'configs/yolo/yolov3_d53_320_273e_coco.py'
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]
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‎README.md

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## Changelog
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v2.3.0 was released in 5/8/2020.
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v2.4.0 was released in 5/9/2020.
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Please refer to [changelog.md](docs/changelog.md) for details and release history.
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A comparison between v1.x and v2.0 codebases can be found in [compatibility.md](docs/compatibility.md).
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‎docs/changelog.md

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## Changelog
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### v2.4.0 (5/9/2020)
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**Highlights**
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- Fix lots of issues/bugs and reorganize the trouble shooting page
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- Support new methods [SABL](https://arxiv.org/abs/1912.04260), [YOLOv3](https://arxiv.org/abs/1804.02767), and [PAA Assign](https://arxiv.org/abs/2007.08103)
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- Support Batch Inference
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- Start to publish `mmdet` package to PyPI since v2.3.0
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- Switch model zoo to download.openmmlab.com
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**Bug Fixes**
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- Fix default mean/std for onnx (#3491)
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- Fix coco evaluation and add metric items (#3497)
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- Fix typo for install.md (#3516)
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- Fix atss when sampler per gpu is 1 (#3528)
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- Fix import of fuse_conv_bn (#3529)
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- Fix bug of gaussian_target, update unittest of heatmap (#3543)
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- Fixed VOC2012 evaluate (#3553)
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- Fix scale factor bug of rescale (#3566)
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- Fix with_xxx_attributes in base detector (#3567)
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- Fix boxes scaling when number is 0 (#3575)
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- Fix rfp check when neck config is a list (#3591)
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- Fix import of fuse conv bn in benchmark.py (#3606)
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- Fix webcam demo (#3634)
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- Fix typo and itemize issues in tutorial (#3658)
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- Fix error in distributed training when some levels of FPN are not assigned with bounding boxes (#3670)
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**New Features**
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- Support Cutout augmentation (#3521)
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- Support evaluation on multiple datasets through ConcatDataset (#3522)
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- Support [PAA assign](https://arxiv.org/abs/2007.08103) #(3547)
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- Support eval metric with pickle results (#3607)
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- Support [YOLOv3](https://arxiv.org/abs/1804.02767) (#3083)
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- Support [SABL](https://arxiv.org/abs/1912.04260) (#3603)
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- Support Batch Inference (#3564)
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- Support to publish to Pypi in github-action (#3510)
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- Support RandomFlip with horizontal/vertical/diagonal direction (#3608)
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**Improvements**
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- Refactor common issues in documentation (#3530)
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- Add pytorch 1.6 to CI config (#3532)
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- Add config to runner meta (#3534)
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- Add eval-option flag for testing (#3537)
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- Add init_eval to evaluation hook (#3550)
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- Add include_bkg in ClassBalancedDataset (#3577)
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- Using config's loading in inference_detector (#3611)
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- Add atss 101 (#3639)
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- Support custom imports (#3641)
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- Update urls to download.openmmlab.com (#3665)
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### v2.3.0 (5/8/2020)
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**Highlights**

‎docs/install.md

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| MMDetection version | MMCV version |
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|:-------------------:|:-------------------:|
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| master | mmcv-full>=1.0.5, <=1.1.1|
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| master | mmcv-full>=1.1.1, <=1.2|
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| 2.4.0 | mmcv-full>=1.1.1, <=1.2|
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| 2.3.0 | mmcv-full==1.0.5|
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| 2.3.0rc0 | mmcv-full>=1.0.2 |
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| 2.2.1 | mmcv==0.6.2 |

‎mmdet/__init__.py

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mmcv_minimum_version = '1.1.1'
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mmcv_maximum_version = '1.1.1'
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mmcv_maximum_version = '1.2'
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mmcv_version = digit_version(mmcv.__version__)
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‎mmdet/version.py

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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '2.3.0'
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__version__ = '2.4.0'
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short_version = __version__
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