Bump version to v2.17.0 (#6152)

README.md

@@ -49,7 +49,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v2.16.0 was released in 30/08/2021.
+v2.17.0 was released in 28/09/2021.
 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).
 

README_zh-CN.md

@@ -44,7 +44,7 @@ v1.x 的历史版本支持 PyTorch 1.1 到 1.4，但是我们强烈建议用户
 
 ## 更新日志
 
-最新的月度版本 v2.16.0 在 2021.08.11 发布，新版本支持了 YOLOX。
+最新的月度版本 v2.17.0 在 2021.09.28 发布。
 如果想了解更多版本更新细节和历史信息，请阅读[更新日志](docs/changelog.md)。
 在[兼容性说明文档](docs_zh-CN/compatibility.md)中我们提供了 1.x 和 2.0 版本的详细比较。
 

configs/strong_baselines/README.md

@@ -11,3 +11,8 @@ The modifications follow those in [Detectron2](https://github.com/facebookresear
 |    R-50-FPN     | pytorch |   100e  |          |                |        |         |  [config](./mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py) | [model]() | [log]() |
 |    R-50-FPN     | caffe |   100e  |          |                |   44.7  |  40.4   |  [config](./mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py) | [model]() | [log]() |
 |    R-50-FPN     | caffe |   400e  |          |                |        |         |  [config](./mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_400e_coco.py) | [model]() | [log]() |
+
+## Notice
+
+When using large-scale jittering, there are sometimes empty proposals in the box and mask heads during training.
+This requires MMSyncBN that allows empty tensors. Therefore, please use mmcv-full>=1.3.14 to train models supported in this directory.

docker/Dockerfile

@@ -13,7 +13,7 @@ RUN apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build
     && rm -rf /var/lib/apt/lists/*
 
 # Install MMCV
-RUN pip install mmcv-full==1.3.8 -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
+RUN pip install mmcv-full==1.3.14 -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
 
 # Install MMDetection
 RUN conda clean --all

docker/serve/Dockerfile

@@ -3,8 +3,8 @@ ARG CUDA="10.1"
 ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
-ARG MMCV="1.3.8"
-ARG MMDET="2.16.0"
+ARG MMCV="1.3.14"
+ARG MMDET="2.17.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/changelog.md

@@ -1,5 +1,64 @@
 ## Changelog
 
+### v2.17.0 (28/9/2021)
+
+#### Highlights
+
+- Support [PVT](https://arxiv.org/abs/2102.12122) and [PVTv2](https://arxiv.org/abs/2106.13797)
+- Support [SOLO](https://arxiv.org/abs/1912.04488)
+- Support large scale jittering and New Mask R-CNN baselines
+- Speed up `YOLOv3` inference
+
+#### New Features
+
+- Support [PVT](https://arxiv.org/abs/2102.12122) and [PVTv2](https://arxiv.org/abs/2106.13797) (#5780)
+- Support [SOLO](https://arxiv.org/abs/1912.04488) (#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
+
 ### v2.16.0 (30/8/2021)
 
 #### Highlights

docs/get_started.md

@@ -12,6 +12,7 @@ Compatible MMDetection and MMCV versions are shown as below. Please install the
 | MMDetection version |    MMCV version     |
 |:-------------------:|:-------------------:|
 | master              | mmcv-full>=1.3.8, <1.4.0 |
+| 2.17.0              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.16.0              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.15.1              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.15.0              | mmcv-full>=1.3.8, <1.4.0 |

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '2.16.0'
+__version__ = '2.17.0'
 short_version = __version__