## Changelog

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

- 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)
- Support to get category ids in `BaseDataset`. (#72)
- Allow `CLASSES` override during `BaseDateset` initialization. (#85)
- Allow input image as ndarray during inference. (#87)
- Optimize MNIST config. (#98)
- Add config links in model zoo documentation. (#99)
- Use functions from MMCV to collect environment. (#103)
- Refactor config files so that they are now categorized by methods. (#116)
- Add README in config directory. (#117)
- Add model statistics. (#119)
- Refactor documentation in consistency with other MM repositories. (#126)

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

- Support new method: ResNeSt and VGG.
- Support new dataset: CIFAR10.
- Provide new tools to do model inference, model conversion from pytorch to onnx.

#### New Features

- Add model inference. (#16)
- Add pytorch2onnx. (#20)
- Add PIL backend for transform `Resize`. (#21)
- Add ResNeSt. (#25)
- Add VGG and its pretained models. (#27)
- Add CIFAR10 configs and models. (#38)
- Add albumentations transforms. (#45)
- Visualize results on image demo. (#58)

#### Bug Fixes

- Fix init_weights in `shufflenet_v2.py`. (#29)
- Fix the parameter `size` in test_pipeline. (#30)
- Fix the parameter in cosine lr schedule. (#32)
- 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- Fix outdated configs.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)