mmclassification/docs/changelog.md

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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  • Fix outdated configs.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)