Bump version to v0.20.0 (#679)

* Bump version to v0.20.0 * Improve according to comments
open-mmlab · Jan 31, 2022 · fb6d6f1 · fb6d6f1
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diff --git a/README.md b/README.md
@@ -34,6 +34,13 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
+v0.20.0 was released in 30/1/2022.
+
+Highlights of the new version:
+- Support **K-fold cross-validation**. The tutorial will be released later.
+- Support **HRNet**, **ConvNeXt**, **Twins** and **EfficientNet**.
+- Support model conversion from PyTorch to **Core ML** by a tool.
+
 v0.19.0 was released in 31/12/2021.
 
 Highlights of the new version:
@@ -43,12 +50,6 @@ Highlights of the new version:
 - Support **DeiT** & **Conformer** backbone and checkpoints.
 - Provide a **CAM visualization** tool based on [pytorch-grad-cam](https://github.com/jacobgil/pytorch-grad-cam), and detailed [user guide](https://mmclassification.readthedocs.io/en/latest/tools/visualization.html#class-activation-map-visualization)!
 
-v0.18.0 was released in 30/11/2021.
-
-Highlights of the new version:
-- Support **MLP-Mixer** backbone and provide pre-trained checkpoints.
-- Add a tool to **visualize the learning rate curve** of the training phase. Welcome to use with the [tutorial](https://mmclassification.readthedocs.io/en/latest/tools/visualization.html#learning-rate-schedule-visualization)!
-
 Please refer to [changelog.md](docs/en/changelog.md) for more details and other release history.
 
 ## Benchmark and model zoo

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -33,6 +33,13 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 
 ## 更新日志
 
+2022/1/30 发布了 v0.20.0 版本
+
+新版本亮点：
+- 支持 **K 折交叉验证** 工具。相应文档会在后续添加。
+- 支持了 **HRNet**，**ConvNeXt**，**Twins** 以及 **EfficientNet** 四个主干网络，欢迎使用！
+- 支持了从 PyTorch 模型到 Core-ML 模型的转换工具。
+
 2021/12/31 发布了 v0.19.0 版本
 
 新版本亮点：
@@ -42,12 +49,6 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 - 支持了 **DeiT** 和 **Conformer** 主干网络，并提供了预训练模型。
 - 提供了一个 **CAM 可视化** 工具。该工具基于 [pytorch-grad-cam](https://github.com/jacobgil/pytorch-grad-cam)，我们提供了详细的 [使用教程](https://mmclassification.readthedocs.io/en/latest/tools/visualization.html#class-activation-map-visualization)！
 
-2021/11/30 发布了 v0.18.0 版本
-
-新版本亮点：
-- 支持了 **MLP-Mixer** 主干网络，欢迎使用！
-- 添加了一个**可视化学习率曲线**的工具，可以参考[教程](https://mmclassification.readthedocs.io/zh_CN/latest/tools/visualization.html#id3)使用
-
 发布历史和更新细节请参考 [更新日志](docs/en/changelog.md)
 
 ## 基准测试及模型库

diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile
@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.4.2"
-ARG MMCLS="0.19.0"
+ARG MMCLS="0.20.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

diff --git a/docs/en/changelog.md b/docs/en/changelog.md
@@ -1,5 +1,43 @@
 # Changelog
 
+## v0.20.0(30/01/2022)
+
+### Highlights
+
+- Support K-fold cross-validation. The tutorial will be released later.
+- Support HRNet, ConvNeXt, Twins and EfficientNet.
+- Support model conversion from PyTorch to Core-ML by a tool.
+
+### New Features
+
+- Support K-fold cross-validation. ([#563](https://github.com/open-mmlab/mmclassification/pull/563))
+- Support HRNet and add pre-trained models. ([#660](https://github.com/open-mmlab/mmclassification/pull/660))
+- Support ConvNeXt and add pre-trained models. ([#670](https://github.com/open-mmlab/mmclassification/pull/670))
+- Support Twins and add pre-trained models. ([#642](https://github.com/open-mmlab/mmclassification/pull/642))
+- Support EfficientNet and add pre-trained models.([#649](https://github.com/open-mmlab/mmclassification/pull/649))
+- Support `features_only` option in `TIMMBackbone`. ([#668](https://github.com/open-mmlab/mmclassification/pull/668))
+- Add conversion script from pytorch to Core-ML model. ([#597](https://github.com/open-mmlab/mmclassification/pull/597))
+
+### Improvements
+
+- New-style CPU training and inference. ([#674](https://github.com/open-mmlab/mmclassification/pull/674))
+- Add setup multi-processing both in train and test. ([#671](https://github.com/open-mmlab/mmclassification/pull/671))
+- Rewrite channel split operation in ShufflenetV2. ([#632](https://github.com/open-mmlab/mmclassification/pull/632))
+- Deprecate the support for "python setup.py test". ([#646](https://github.com/open-mmlab/mmclassification/pull/646))
+- Support single-label, softmax, custom eps by asymmetric loss. ([#609](https://github.com/open-mmlab/mmclassification/pull/609))
+- Save class names in best checkpoint created by evaluation hook. ([#641](https://github.com/open-mmlab/mmclassification/pull/641))
+
+### Bug Fixes
+
+- Fix potential unexcepted behaviors if `metric_options` is not specified in multi-label evaluation. ([#647](https://github.com/open-mmlab/mmclassification/pull/647))
+- Fix API changes in  `pytorch-grad-cam&gt;=1.3.7`. ([#656](https://github.com/open-mmlab/mmclassification/pull/656))
+- Fix bug which breaks `cal_train_time` in `analyze_logs.py`. ([#662](https://github.com/open-mmlab/mmclassification/pull/662))
+
+### Docs Update
+
+- Update README in configs according to OpenMMLab standard. ([#672](https://github.com/open-mmlab/mmclassification/pull/672))
+- Update installation guide and README. ([#624](https://github.com/open-mmlab/mmclassification/pull/624))
+
 ## v0.19.0(31/12/2021)
 
 ### Highlights

diff --git a/docs/en/install.md b/docs/en/install.md
@@ -10,8 +10,9 @@ The compatible MMClassification and MMCV versions are as below. Please install t
 
 | MMClassification version |     MMCV version      |
 |:------------------------:|:---------------------:|
-| dev                      | mmcv>=1.3.16, <=1.5.0 |
-| 0.19.0 (master)          | mmcv>=1.3.16, <=1.5.0 |
+| dev                      | mmcv>=1.4.4, <=1.5.0  |
+| 0.20.0 (master)          | mmcv>=1.3.16, <=1.5.0 |
+| 0.19.0                   | mmcv>=1.3.16, <=1.5.0 |
 | 0.18.0                   | mmcv>=1.3.16, <=1.5.0 |
 | 0.17.0                   | mmcv>=1.3.8, <=1.5.0  |
 | 0.16.0                   | mmcv>=1.3.8, <=1.5.0  |

diff --git a/docs/zh_CN/install.md b/docs/zh_CN/install.md
@@ -10,8 +10,9 @@ 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       |
 |:---------------------:|:---------------------:|
-|        dev            | mmcv>=1.3.16, <=1.5.0 |
-|        0.19.0 (master)| mmcv>=1.3.16, <=1.5.0 |
+|        dev            | mmcv>=1.4.4, <=1.5.0  |
+|        0.20.0 (master)| mmcv>=1.3.16, <=1.5.0 |
+|        0.19.0         | mmcv>=1.3.16, <=1.5.0 |
 |        0.18.0         | mmcv>=1.3.16, <=1.5.0 |
 |        0.17.0         | mmcv>=1.3.8, <=1.5.0  |
 |        0.16.0         | mmcv>=1.3.8, <=1.5.0  |

diff --git a/mmcls/version.py b/mmcls/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '0.19.0'
+__version__ = '0.20.0'
 
 
 def parse_version_info(version_str):