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MMAction2 V0.8.0 Release
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@innerlee innerlee released this 31 Oct 14:37
v0.8.0
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Learn about vigilant mode.

v0.8.0 (31/10/2020)

Highlights

  • Support OmniSource
  • Support C3D
  • Support video recognition with audio modality
  • Support HVU
  • Support X3D

New Features

  • Support AVA dataset preparation (#266)
  • Support the training of video recognition dataset with multiple tag categories (#235)
  • Support joint training with multiple training datasets of multiple formats, including images, untrimmed videos, etc. (#242)
  • Support to specify a start epoch to conduct evaluation (#216)
  • Implement X3D models, support testing with model weights converted from SlowFast (#288)

Improvements

  • Set default values of 'average_clips' in each config file so that there is no need to set it explicitly during testing in most cases (#232)
  • Extend HVU datatools to generate individual file list for each tag category (#258)
  • Support data preparation for Kinetics-600 and Kinetics-700 (#254)
  • Add cfg-options in arguments to override some settings in the used config for convenience (#212)
  • Rename the old evaluating protocol mean_average_precision as mmit_mean_average_precision since it is only used on MMIT and is not the mAP we usually talk about. Add mean_average_precision, which is the real mAP (#235)
  • Add accurate setting (Three crop * 2 clip) and report corresponding performance for TSM model (#241)
  • Add citations in each preparing_dataset.md in tools/data/dataset (#289)
  • Update the performance of audio-visual fusion on Kinetics-400 (#281)
  • Support data preparation of OmniSource web datasets, including GoogleImage, InsImage, InsVideo and KineticsRawVideo (#294)
  • Use metric_options dict to provide metric args in evaluate (#286)

Bug Fixes

  • Register FrameSelector in PIPELINES (#268)
  • Fix the potential bug for default value in dataset_setting (#245)
  • Fix the data preparation bug for something-something dataset (#278)
  • Fix the invalid config url in slowonly README data benchmark (#249)
  • Validate that the performance of models trained with videos have no significant difference comparing to the performance of models trained with rawframes (#256)
  • Correct the img_norm_cfg used by TSN-3seg-R50 UCF-101 model, improve the Top-1 accuracy by 3% (#273)

ModelZoo

  • Add Baselines for Kinetics-600 and Kinetics-700, including TSN-R50-8seg and SlowOnly-R50-8x8 (#259)
  • Add OmniSource benchmark on MiniKineitcs (#296)
  • Add Baselines for HVU, including TSN-R18-8seg on 6 tag categories of HVU (#287)
  • Add X3D models ported from SlowFast (#288)
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