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MMSegmentation v0.13.0 Release
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@xvjiarui xvjiarui released this 05 May 23:57
· 440 commits to master since this release
v0.13.0
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Learn about vigilant mode.

Highlights

  • Support Pascal Context Class-59 dataset.
  • Support Visual Transformer Backbone.
  • Support mFscore metric.

Bug Fixes

  • Fixed Colaboratory tutorial (#451)
  • Fixed mIoU calculation range (#471)
  • Fixed sem_fpn, unet README.md (#492)
  • Fixed num_classes in FCN for Pascal Context 60-class dataset (#488)
  • Fixed FP16 inference (#497)

New Features

  • Support dynamic export and visualize to pytorch2onnx (#463)
  • Support export to torchscript (#469, #499)
  • Support Pascal Context Class-59 dataset (#459)
  • Support Visual Transformer backbone (#465)
  • Support UpSample Neck (#512)
  • Support mFscore metric (#509)

Improvements

  • Add more CI for PyTorch (#460)
  • Add print model graph args for tools/print_config.py (#451)
  • Add cfg links in modelzoo README.md (#468)
  • Add BaseSegmentor import to segmentors/init.py (#495)
  • Add MMOCR, MMGeneration links (#501, #506)
  • Add Chinese QR code (#506)
  • Use MMCV MODEL_REGISTRY (#515)
  • Add ONNX testing tools (#498)
  • Replace data_dict calling 'img' key to support MMDet3D (#514)
  • Support reading class_weight from file in loss function (#513)
  • Make tags as comment (#505)
  • Use MMCV EvalHook (#438)
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