bump version to v0.12.0 (#287)

README.md

@@ -31,7 +31,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.11.1 was released in 21/5/2021.
+v0.12.0 was released in 3/6/2021.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Benchmark and model zoo

README_zh-CN.md

@@ -30,7 +30,7 @@ MMClassification是一款基于PyTorch的开源图像分类工具箱，是 [Open
 
 ## 更新日志
 
-2021/5/21 发布了 v0.11.1 版本
+2021/6/3 发布了 v0.12.0 版本
 
 发布历史和更新细节请参考 [更新日志](docs/changelog.md)
 

docs/changelog.md

@@ -1,8 +1,32 @@
 ## Changelog
 
+### v0.12.0(3/6/2021)
+
+- Finish adding Chinese tutorials and build Chinese documentation on readthedocs.
+- Update ResNeXt checkpoints and ResNet checkpoints on CIFAR.
+
+#### New Features
+
+- Improve and add Chinese translation of `data_pipeline.md` and `new_modules.md`. (#265)
+- Build Chinese translation on readthedocs. (#267)
+- Add an argument efficientnet_style to `RandomResizedCrop` and `CenterCrop`. (#268)
+
+#### Improvements
+
+- Only allow directory operation when rank==0 when testing. (#258)
+- Fix typo in `base_head`. (#274)
+- Update ResNeXt checkpoints. (#283)
+
+#### Bug Fixes
+
+- Add attribute `data.test` in MNIST configs. (#264)
+- Download CIFAR/MNIST dataset only on rank 0. (#273)
+- Fix MMCV version compatibility. (#276)
+- Fix CIFAR color channels bug and update checkpoints in model zoo. (#280)
+
 ### v0.11.1(21/5/2021)
 
-- Refine `new_dataset.md` and add Chinese translation of `finture.md`, `new_dataset.md`. (#243)
+- Refine `new_dataset.md` and add Chinese translation of `finture.md`, `new_dataset.md`.
 
 #### New Features
 
@@ -26,11 +50,11 @@
 
 ### v0.11.0(1/5/2021)
 
-- Support cutmix trick. (#198)
-- Support random augmentation. (#201)
-- Add `tools/deployment/test.py` as a ONNX runtime test tool. (#212)
-- Support ViT backbone and add training configs for ViT on ImageNet. (#214)
-- Add Chinese `README.md` and some Chinese tutorials. (#221)
+- Support cutmix trick.
+- Support random augmentation.
+- Add `tools/deployment/test.py` as a ONNX runtime test tool.
+- Support ViT backbone and add training configs for ViT on ImageNet.
+- Add Chinese `README.md` and some Chinese tutorials.
 
 #### New Features
 

docs/install.md

@@ -11,6 +11,7 @@ The compatible MMClassification and MMCV versions are as below. Please install t
 | MMClassification version |    MMCV version     |
 |:-------------------:|:-------------------:|
 | master              | mmcv>=1.3.1, <=1.5.0 |
+| 0.12.0              | mmcv>=1.3.1, <=1.5.0 |
 | 0.11.1              | mmcv>=1.3.1, <=1.5.0 |
 | 0.11.0              | mmcv>=1.3.0         |
 | 0.10.0              | mmcv>=1.3.0         |

docs_zh-CN/install.md

@@ -11,6 +11,7 @@ MMClassification 和 MMCV 的适配关系如下，请安装正确版本的 MMCV
 | MMClassification 版本 |  MMCV 版本  |
 |:---------------------:|:-----------:|
 |        master         | mmcv>=1.3.1, <=1.5.0 |
+|        0.12.0         | mmcv>=1.3.1, <=1.5.0 |
 |        0.11.1         | mmcv>=1.3.1, <=1.5.0 |
 |        0.11.0         | mmcv>=1.3.0 |
 |        0.10.0         | mmcv>=1.3.0 |

mmcls/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.11.1'
+__version__ = '0.12.0'
 
 
 def parse_version_info(version_str):