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bump version to v0.11.0 (#233)
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LXXXXR authored May 1, 2021
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion README_zh-CN.md
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Expand Up @@ -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)

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39 changes: 39 additions & 0 deletions docs/changelog.md
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## 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
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1 change: 1 addition & 0 deletions docs/install.md
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Expand Up @@ -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 |
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1 change: 1 addition & 0 deletions docs_zh-CN/install.md
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Expand Up @@ -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 |
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2 changes: 1 addition & 1 deletion mmcls/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '0.10.0'
__version__ = '0.11.0'


def parse_version_info(version_str):
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