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Bump version to 0.8.0 (#156)
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* update docs to bump version

* minor change

* revise acording to comments
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LXXXXR authored Jan 31, 2021
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -29,7 +29,7 @@ This project is released under the [Apache 2.0 license](LICENSE).

## Changelog

v0.7.0 was released in 31/12/2020.
v0.8.0 was released in 31/1/2021.
Please refer to [changelog.md](docs/changelog.md) for details and release history.

## Benchmark and model zoo
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71 changes: 53 additions & 18 deletions docs/changelog.md
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## Changelog

### v0.8.0(31/1/2021)

- Support multi-label task.
- Support more flexible metrics settings.
- Fix bugs.

#### New Features

- Add evaluation metrics: mAP, CP, CR, CF1, OP, OR, OF1 for multi-label task. (#123)
- Add BCE loss for multi-label task. (#130)
- Add focal loss for multi-label task. (#131)
- Support PASCAL VOC 2007 dataset for multi-label task. (#134)
- Add asymmetric loss for multi-label task. (#132)
- Add analyze_results.py to select images for success/fail demonstration. (#142)
- Support new metric that calculates the total number of occurrences of each label. (#143)
- Support class-wise evaluation results. (#143)
- Add thresholds in eval_metrics. (#146)
- Add heads and a baseline config for multilabel task. (#145)

#### Improvements

- Remove the models with 0 checkpoint and ignore the repeated papers when counting papers to gain more accurate model statistics. (#135)
- Add tags in README.md. (#137)
- Fix optional issues in docstring. (#138)
- Update stat.py to classify papers. (#139)
- Fix mismatched columns in README.md. (#150)
- Fix test.py to support more evaluation metrics. (#155)

#### Bug Fixes

- Fix bug in VGG weight_init. (#140)
- Fix bug in 2 ResNet configs in which outdated heads were used. (#147)
- Fix bug of misordered height and width in `RandomCrop` and `RandomResizedCrop`. (#151)
- Fix missing `meta_keys` in `Collect`. (#149 & #152)

### v0.7.0(31/12/2020)

- Add more evaluation metrics
- Fix bugs
- Add more evaluation metrics.
- Fix bugs.

#### New Features

- Remove installation of MMCV from requirements. (#90)
- Add 3 evaluation metrics: precision, recall and F-1 score. (#93)
- Allow config override during testing and inference with `--options`. (#91 & #96)

#### Bug Fixes

- Add missing `CLASSES` argument to dataset wrappers. (#66)
- Fix slurm evaluation error during training. (#69)
- Resolve error caused by shape in `Accuracy`. (#104)
- Fix bug caused by extremely insufficient data in distributed sampler.(#108)
- Fix bug in `gpu_ids` in distributed training. (#107)
- Fix bug caused by extremely insufficient data in collect results during testing (#114)

#### Improvements

- Use `build_runner` to make runners more flexible. (#54)
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- Add model statistics. (#119)
- Refactor documentation in consistency with other MM repositories. (#126)

#### Bug Fixes

- Add missing `CLASSES` argument to dataset wrappers. (#66)
- Fix slurm evaluation error during training. (#69)
- Resolve error caused by shape in `Accuracy`. (#104)
- Fix bug caused by extremely insufficient data in distributed sampler.(#108)
- Fix bug in `gpu_ids` in distributed training. (#107)
- Fix bug caused by extremely insufficient data in collect results during testing (#114)

### v0.6.0(11/10/2020)

- Support new method: ResNeSt and VGG.
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- Add albumentations transforms. (#45)
- Visualize results on image demo. (#58)

#### Improvements

- Replace urlretrieve with urlopen in dataset.utils. (#13)
- Resize image according to its short edge. (#22)
- Update ShuffleNet config. (#31)
- Update pre-trained models for shufflenet_v2, shufflenet_v1, se-resnet50, se-resnet101. (#33)

#### Bug Fixes

- Fix init_weights in `shufflenet_v2.py`. (#29)
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- Fix the convert tools for mobilenet_v2. (#34)
- Fix crash in CenterCrop transform when image is greyscale (#40)
- Fix outdated configs. (#53)

#### Improvements

- Replace urlretrieve with urlopen in dataset.utils. (#13)
- Resize image according to its short edge. (#22)
- Update ShuffleNet config. (#31)
- Update pre-trained models for shufflenet_v2, shufflenet_v1, se-resnet50, se-resnet101. (#33)
2 changes: 1 addition & 1 deletion mmcls/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '0.7.0'
__version__ = '0.8.0'


def parse_version_info(version_str):
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