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Releases: paninski-lab/lightning-pose

v1.6.0

13 Nov 02:57
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Major updates for this release include multi-GPU training, new imgaug transforms, and many small usability improvements

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Full Changelog: v1.5.1...v1.6.0

v1.5.1

31 Jul 21:13
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Several small updates, as well as reverting the default training setup to automatically save out the best model according to validation metrics, rather than the last model.

  • make sure validation loader always has at least one sample
  • allow for early stopping again, as well as saving out model weights every n epochs
  • make training fully deterministic
  • increase flexibility of LitDaliWrapper to work with custom dali video pipeline functions
  • increase flexibility of keypoint correspondence array for true multiview datasets

v.1.5.0

18 Jul 19:23
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Full Changelog: v1.4.0...v1.5.0

v1.4.0

17 Jun 21:59
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Full Changelog: v1.3.0...v1.4.0

v1.3.0

17 Apr 16:44
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  • FIX: predict_new_vids.py now outputs unsupervised metrics as well by @EugenioBertolini in #145
  • [docs] update config file info by @themattinthehatt in #147
  • v1.3.0 updates by @themattinthehatt in #149
    • generalize method of accessing likelihood in apps
    • generalize subdirectory names used by video app
    • move version def from setup.py to __init__.py
    • refactor train_hydra script to import a train function for greater flexibility

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Full Changelog: v1.2.3...v1.3.0

v1.2.3

04 Apr 18:48
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include example data in PyPI packaging

v1.2.1

01 Apr 21:28
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fixing PyPI packaging

v1.2.0

01 Apr 21:13
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What's Changed

  • remove deprecated fiftyone args
  • update documentation
  • [bug] fix vit checkpoint loading (closes #134) by @themattinthehatt in #135
  • print timestamp and frame number on labeled videos

Full Changelog: v1.1.0...v1.2.0

v1.1.0

21 Feb 16:04
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Full Changelog: v1.0.1...v1.1.0

v1.0.1

30 Nov 18:53
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Full Changelog: v1.0.0...v1.0.1