Bump version to v2.1 (#2945)

* Bump version to v2.1

* clean minor changes

* More specific change log and clean unnecessary items

* add 2947

README.md

@@ -40,7 +40,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v2.0.0 was released in 6/5/2020.
+v2.1.0 was released in 8/6/2020.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 A comparison between v1.x and v2.0 codebases can be found in [compatibility.md](docs/compatibility.md).
 

docs/changelog.md

@@ -1,5 +1,63 @@
 ## Changelog
 
+### v2.1.0 (8/6/2020)
+
+**Highlights**
+- Support new backbones: [RegNetX](https://arxiv.org/abs/2003.13678), [Res2Net](https://arxiv.org/abs/1904.01169)
+- Support new methods: [NASFCOS](https://arxiv.org/abs/1906.04423), [PISA](https://arxiv.org/abs/1904.04821), [GRoIE](https://arxiv.org/abs/2004.13665)
+- Support new dataset: [LVIS](https://arxiv.org/abs/1908.03195)
+
+**Bug Fixes**
+- Change the CLI argument `--validate` to `--no-validate` to enable validation after training epochs by default. (#2651)
+- Add missing cython to docker file (#2713)
+- Fix bug in nms cpu implementation (#2754)
+- Fix bug when showing mask results (#2763)
+- Fix gcc requirement (#2806)
+- Fix bug in async test (#2820)
+- Fix mask encoding-decoding bugs in test API (#2824)
+- Fix bug in test time augmentation (#2858, #2921, #2944)
+- Fix a typo in comment of apis/train (#2877)
+- Fix the bug of returning None when no gt bboxes are in the original image in `RandomCrop`. Fix the bug that misses to handle `gt_bboxes_ignore`, `gt_label_ignore`, and `gt_masks_ignore` in `RandomCrop`, `MinIoURandomCrop` and `Expand` modules. (#2810)
+- Fix bug of `base_channels` of regnet (#2917)
+- Fix the bug of logger when loading pre-trained weights in base detector (#2936)
+
+**New Features**
+- Add IoU models (#2666)
+- Add colab demo for inference
+- Support class agnostic nms (#2553)
+- Add benchmark gathering scripts for development only (#2676)
+- Add mmdet-based project links (#2736, #2767, #2895)
+- Add config dump in training (#2779)
+- Add ClassBalancedDataset (#2721)
+- Add res2net backbone (#2237)
+- Support RegNetX models (#2710)
+- Use `mmcv.FileClient` to support different storage backends (#2712)
+- Add ClassBalancedDataset (#2721)
+- Code Release: Prime Sample Attention in Object Detection (CVPR 2020) (#2626)
+- Implement NASFCOS (#2682)
+- Add class weight in CrossEntropyLoss (#2797)
+- Support LVIS dataset (#2088)
+- Support GRoIE (#2584)
+
+**Improvements**
+- Allow different x and y strides in anchor heads. (#2629)
+- Make FSAF loss more robust to no gt (#2680)
+- Compute pure inference time instead (#2657) and update inference speed (#2730)
+- Avoided the possibility that a patch with 0 area is cropped. (#2704)
+- Add warnings when deprecated `imgs_per_gpu` is used. (#2700)
+- Add a mask rcnn example for config (#2645)
+- Update model zoo (#2762, #2866, #2876, #2879, #2831)
+- Add `ori_filename` to img_metas and use it in test show-dir (#2612)
+- Use `img_fields` to handle multiple images during image transform (#2800)
+- Add upsample_cfg support in FPN (#2787)
+- Add `['img']` as default `img_fields` for back compatibility (#2809)
+- Rename the pretrained model from `open-mmlab://resnet50_caffe` and `open-mmlab://resnet50_caffe_bgr` to `open-mmlab://detectron/resnet50_caffe` and `open-mmlab://detectron2/resnet50_caffe`. (#2832)
+- Added sleep(2) in test.py to reduce hanging problem (#2847)
+- Support `c10::half` in CARAFE (#2890)
+- Improve documentations (#2918, #2714)
+- Use optimizer constructor in mmcv and clean the original implementation in `mmdet.core.optimizer` (#2947)
+
+
 ### v2.0.0 (6/5/2020)
 In this release, we made lots of major refactoring and modifications.
 

mmdet/VERSION

@@ -1 +1 @@
-2.0.0
+2.1.0