bump version to 2.15.1 (#5857)

* bump version to 2.15.1

* update versions

* make en/cn consistency

README.md

@@ -49,7 +49,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v2.15.0 was released in 02/08/2021.
+v2.15.1 was released in 11/08/2021, which supports YOLOX.
 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 v2.15.0 在 2021.08.02 发布。
+最新的月度版本 v2.15.1 在 2021.08.11 发布，新版本支持了 YOLOX。
 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。
 

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.3.8"
-ARG MMDET="2.15.0"
+ARG MMDET="2.15.1"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/changelog.md

@@ -1,5 +1,31 @@
 ## Changelog
 
+### v2.15.1 (11/8/2021)
+
+#### Highlights
+
+- Support [YOLOX](https://arxiv.org/abs/2107.08430)
+
+#### New Features
+
+- Support [YOLOX](https://arxiv.org/abs/2107.08430)(#5756, #5758, #5760, #5767, #5770, #5774, #5777, #5808, #5828, #5848)
+
+#### Bug Fixes
+
+- Update correct SSD models. (#5789)
+- Fix casting error in mask structure (#5820)
+- Fix MMCV deployment documentation links. (#5790)
+
+#### Improvements
+
+- Use dynamic MMCV download link in TorchServe dockerfile (#5779)
+- Rename the function `upsample_like` to `interpolate_as` for more general usage (#5788)
+
+#### Contributors
+
+A total of 14 developers contributed to this release.
+Thanks @HAOCHENYE, @xiaohu2015, @HsLOL, @zhiqwang, @Adamdad, @shinya7y, @Johnson-Wang, @RangiLyu, @jshilong, @mmeendez8, @AronLin, @BIGWangYuDong, @hhaAndroid, @ZwwWayne
+
 ### v2.15.0 (02/8/2021)
 
 #### Highlights

docs/compatibility.md

@@ -18,7 +18,7 @@ python tools/model_converters/upgrade_ssd_version.py ${OLD_MODEL_PATH} ${NEW_MOD
 
 ## MMDetection 2.12.0
 
-MMDetection is going through big refactoring for more general and convenient usages during the releases from v2.12.0 to v2.15.0 (maybe longer).
+MMDetection is going through big refactoring for more general and convenient usages during the releases from v2.12.0 to v2.18.0 (maybe longer).
 In v2.12.0 MMDetection inevitably brings some BC-breakings, including the MMCV dependency, model initialization, model registry, and mask AP evaluation.
 
 ### MMCV Version

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 |
+| 2.15.1              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.15.0              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.14.0              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.13.0              | mmcv-full>=1.3.3, <1.4.0 |

docs_zh-CN/compatibility.md

@@ -21,7 +21,7 @@ python tools/model_converters/upgrade_ssd_version.py ${OLD_MODEL_PATH} ${NEW_MOD
 
 ## MMDetection v2.12.0
 
-在 v2.12.0 到 v2.15.0（或以上）版本的这段时间，为了提升通用性和便捷性，MMDetection 正在进行大规模重构。在升级到 v2.12.0 后 MMDetection 不可避免地带来了一些 BC Breaking，包括 MMCV 的版本依赖、模型初始化方式、模型 registry 和 mask AP 的评估。
+在 v2.12.0 到 v2.18.0（或以上）版本的这段时间，为了提升通用性和便捷性，MMDetection 正在进行大规模重构。在升级到 v2.12.0 后 MMDetection 不可避免地带来了一些 BC Breaking，包括 MMCV 的版本依赖、模型初始化方式、模型 registry 和 mask AP 的评估。
 
 ### MMCV 版本
 

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '2.15.0'
+__version__ = '2.15.1'
 short_version = __version__