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* add change log and unable MD024 in pre-commit hook * fix readme and modify version * Revised according to comments
69 lines
2.3 KiB
Markdown
69 lines
2.3 KiB
Markdown
## Changelog
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### v0.7.0(31/12/2020)
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- Add more evaluation metrics
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- Fix bugs
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#### New Features
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- Remove installation of MMCV from requirements. (#90)
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- Add 3 evaluation metrics: precision, recall and F-1 score. (#93)
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- Allow config override during testing and inference with `--options`. (#91 & #96)
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#### Bug Fixes
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- Add missing `CLASSES` argument to dataset wrappers. (#66)
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- Fix slurm evaluation error during training. (#69)
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- Resolve error caused by shape in `Accuracy`. (#104)
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- Fix bug caused by extremely insufficient data in distributed sampler.(#108)
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- Fix bug in `gpu_ids` in distributed training. (#107)
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- Fix bug caused by extremely insufficient data in collect results during testing (#114)
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#### Improvements
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- Use `build_runner` to make runners more flexible. (#54)
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- Support to get category ids in `BaseDataset`. (#72)
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- Allow `CLASSES` override during `BaseDateset` initialization. (#85)
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- Allow input image as ndarray during inference. (#87)
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- Optimize MNIST config. (#98)
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- Add config links in model zoo documentation. (#99)
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- Use functions from MMCV to collect environment. (#103)
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- Refactor config files so that they are now categorized by methods. (#116)
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- Add README in config directory. (#117)
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- Add model statistics. (#119)
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- Refactor documentation in consistency with other MM repositories. (#126)
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### v0.6.0(11/10/2020)
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- Support new method: ResNeSt and VGG.
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- Support new dataset: CIFAR10.
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- Provide new tools to do model inference, model conversion from pytorch to onnx.
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#### New Features
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- Add model inference. (#16)
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- Add pytorch2onnx. (#20)
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- Add PIL backend for transform `Resize`. (#21)
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- Add ResNeSt. (#25)
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- Add VGG and its pretained models. (#27)
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- Add CIFAR10 configs and models. (#38)
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- Add albumentations transforms. (#45)
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- Visualize results on image demo. (#58)
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#### Bug Fixes
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- Fix init_weights in `shufflenet_v2.py`. (#29)
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- Fix the parameter `size` in test_pipeline. (#30)
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- Fix the parameter in cosine lr schedule. (#32)
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- Fix the convert tools for mobilenet_v2. (#34)
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- Fix crash in CenterCrop transform when image is greyscale (#40)
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- Fix outdated configs. (#53)
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#### Improvements
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- Replace urlretrieve with urlopen in dataset.utils. (#13)
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- Resize image according to its short edge. (#22)
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- Update ShuffleNet config. (#31)
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- Update pre-trained models for shufflenet_v2, shufflenet_v1, se-resnet50, se-resnet101. (#33)
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