Bump version to v0.15.0 (#426)

README.md

@@ -31,7 +31,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.14.0 was released in 4/8/2021.
+v0.15.0 was released in 31/8/2021.
 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 [O
 
 ## 更新日志
 
-2021/8/4 发布了 v0.14.0 版本
+2021/8/31 发布了 v0.15.0 版本
 
 发布历史和更新细节请参考 [更新日志](docs/changelog.md)
 

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 MMCLS="0.14.0"
+ARG MMCLS="0.15.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/changelog.md

@@ -1,5 +1,35 @@
 ## Changelog
 
+### v0.15.0(31/8/2021)
+
+#### Highlights
+- Support `hparams` argument in `AutoAugment` and `RandAugment` to provide hyperparameters for sub-policies.
+- Support custom squeeze channels in `SELayer`.
+- Support classwise weight in losses.
+
+#### New Features
+
+- Add `hparams` argument in `AutoAugment` and `RandAugment` and some other improvement. ([#398](https://github.com/open-mmlab/mmclassification/pull/398))
+- Support classwise weight in losses. ([#388](https://github.com/open-mmlab/mmclassification/pull/388))
+- Enhence `SELayer` to support custom squeeze channels. ([#417](https://github.com/open-mmlab/mmclassification/pull/417))
+
+#### Code Refactor
+
+- Better result visualization. ([#419](https://github.com/open-mmlab/mmclassification/pull/419))
+- Use `post_process` function to handle pred result processing. ([#390](https://github.com/open-mmlab/mmclassification/pull/390))
+- Update `digit_version` function. ([#402](https://github.com/open-mmlab/mmclassification/pull/402))
+- Avoid albumentations to install both opencv and opencv-headless. ([#397](https://github.com/open-mmlab/mmclassification/pull/397))
+- Avoid unnecessary listdir when building ImageNet. ([#396](https://github.com/open-mmlab/mmclassification/pull/396))
+- Use dynamic mmcv download link in TorchServe dockerfile. ([#387](https://github.com/open-mmlab/mmclassification/pull/387))
+
+#### Docs Improvement
+
+- Add readme of some algorithms and update meta yml. ([#418](https://github.com/open-mmlab/mmclassification/pull/418))
+- Add Copyright information. ([#413](https://github.com/open-mmlab/mmclassification/pull/413))
+- Fix typo 'metirc'. ([#411](https://github.com/open-mmlab/mmclassification/pull/411))
+- Update QQ group QR code. ([#393](https://github.com/open-mmlab/mmclassification/pull/393))
+- Add PR template and modify issue template. ([#380](https://github.com/open-mmlab/mmclassification/pull/380))
+
 ### v0.14.0(4/8/2021)
 
 #### Highlights

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>=1.3.8, <=1.5.0 |
+| 0.15.0                   | mmcv>=1.3.8, <=1.5.0 |
 | 0.14.0                   | mmcv>=1.3.8, <=1.5.0 |
 | 0.13.0                   | mmcv>=1.3.8, <=1.5.0 |
 | 0.12.0                   | mmcv>=1.3.1, <=1.5.0 |

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>=1.3.8, <=1.5.0 |
+|        0.15.0         | mmcv>=1.3.8, <=1.5.0 |
 |        0.14.0         | mmcv>=1.3.8, <=1.5.0 |
 |        0.13.0         | mmcv>=1.3.8, <=1.5.0 |
 |        0.12.0         | mmcv>=1.3.1, <=1.5.0 |

mmcls/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '0.14.0'
+__version__ = '0.15.0'
 
 
 def parse_version_info(version_str):