bump version to v0.11.0 (#233)

README.md

@@ -31,7 +31,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.10.0 was released in 1/4/2021.
+v0.11.0 was released in 1/5/2021.
 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
 
-2021/4/1 发布了 v0.10.0 版本
+2021/5/1 发布了 v0.11.0 版本
 
 发布历史和更新细节请参考 [更新日志](docs/changelog.md)
 

docs/changelog.md

@@ -1,5 +1,44 @@
 ## Changelog
 
+### 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)
+
+#### New Features
+
+- Support cutmix trick. (#198)
+- Add `simplify` option in `pytorch2onnx.py`. (#200)
+- Support random augmentation. (#201)
+- Add config and checkpoint for training ResNet on CIFAR-100. (#208)
+- 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 finetuning configs for ViT on ImageNet. (#217)
+- Add `device` option to support training on CPU. (#219)
+- Add Chinese `README.md` and some Chinese tutorials. (#221)
+- Add `metafile.yml` in configs to support interaction with paper with code(PWC) and MMCLI. (#225)
+- Upload configs and converted checkpoints for ViT fintuning on ImageNet. (#230)
+
+#### Improvements
+
+- Fix `LabelSmoothLoss` so that label smoothing and mixup could be enabled at the same time. (#203)
+- Add `cal_acc` option in `ClsHead`. (#206)
+- Check `CLASSES` in checkpoint to avoid unexpected key error. (#207)
+- Check mmcv version when importing mmcls to ensure compatibility. (#209)
+- Update `CONTRIBUTING.md` to align with that in MMCV. (#210)
+- Change tags to html comments in configs README.md. (#226)
+- Clean codes in ViT backbone. (#227)
+- Reformat `pytorch2onnx.md` tutorial. (#229)
+- Update `setup.py` to support MMCLI. (#232)
+
+#### Bug Fixes
+
+- Fix missing `cutmix_prob` in ViT configs. (#220)
+- Fix backend for resize in ResNeXt configs. (#222)
+
 ### v0.10.0(1/4/2021)
 
 - Support AutoAugmentation

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>=1.3.0         |
+| 0.11.0              | mmcv>=1.3.0         |
 | 0.10.0              | mmcv>=1.3.0         |
 | 0.9.0               | mmcv>=1.1.4         |
 | 0.8.0               | mmcv>=1.1.4         |

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>=1.3.0 |
+|        0.11.0         | mmcv>=1.3.0 |
 |        0.10.0         | mmcv>=1.3.0 |
 |         0.9.0         | mmcv>=1.1.4 |
 |         0.8.0         | mmcv>=1.1.4 |

mmcls/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.10.0'
+__version__ = '0.11.0'
 
 
 def parse_version_info(version_str):