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Releases: weigertlab/trackastra

0.5.2

11 Dec 17:32
09551f0

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What's Changed

  • Update SAM 2.1 optional dependency to pipy version of trackastra_pretrained_feats by @C-Achard in #51

Full Changelog: 0.5.1...0.5.2

0.5.1

11 Dec 06:36
8ab9551

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Full Changelog: 0.5.0...0.5.1

0.5.0

11 Dec 05:16
71f66eb

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New Contributors

Full Changelog: 0.4.2...0.5.0

0.4.2

14 Oct 16:12
2a70c3c

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What's Changed

  • Support empty windows+sequences in prediction by @bentaculum in #42
  • Make installing dependencies for training optional by @bentaculum in #43

Full Changelog: 0.4.1...0.4.2

0.4.1

25 Sep 17:20

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Update to GEFF v1 API

0.4.0

17 Sep 21:50
9d9677a

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What's Changed

  • Breaking change to python inference API: Trackastra.track now takes care of relabeling the segmentation masks to match IDs in the solution graph, which before was done only when converting to CTC format.
    Here is a minimal example of the new API:
    # load some test data images and masks
    imgs, masks = example_data_bacteria()
    
    # Load a pretrained model
    model = Trackastra.from_pretrained("general_2d", device=device)
    
    # or from a local folder
    # model = Trackastra.from_folder('path/my_model_folder/', device=device)
    
    # Track the cells
    track_graph, masks_tracked = model.track(imgs, masks, mode="greedy") 
    
  • Add GEFF file format support in inference by @bentaculum in #34
  • Support inference on large arrays with dask by @maweigert in #33
  • Add batched inference by @bentaculum in #35
  • Support intermediate empty frames in inference by @JojoDevel in #36

Full Changelog: 0.3.2...0.4.0

0.3.2

13 Jun 22:59
dd4bf2a

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Full Changelog: 0.3.1...0.3.2

0.3.1

14 May 02:40

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What's Changed

  • Update setup.cfg file to install humanize package by @anwai98 in #30
  • Add basic train test
  • Add python 3.13 compatibility

Full Changelog: 0.3.0...0.3.1

0.3.0

30 Apr 07:07

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New Contributors

Full Changelog: 0.2.4...0.3.0

0.2.4

28 Nov 12:52

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Full Changelog: 0.2.3...0.2.4