Zebrazoom

Latest version: v1.34.29

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1.33.23

Release notes
New features
- adding "python -m zebrazoom openAsWindows/openAsMac/openAsLinux" options
Enhancements
- by default, show only files with video extensions when selecting videos
- add the option to toggle tracking points when displaying validation video

1.33.22

Release notes
Enhancements
- check "Save coordinates and tail angle even when fish isn't moving" on the last config creation page by default
- add "Save coordinates and tail angle even when fish isn't moving" checkbox for head embedded videos
Bug fixes
- Fixed error on the last frame when displaying validation video

1.33.21

Release notes
Enhancements
- Refactored tracking code
- adding maxCurvatureValues and curvatureXaxisNbFrames options to curvature calculations in order to provide standardization between all different curvature graphs
- Added additional information (videoFPS, videoPixelSize, Bout Number, curvature, tailAngleHeatmap) to the file stored with saveAllDataEvenIfNotInBouts
- Added an example script for loading data from the file stored with saveAllDataEvenIfNotInBouts
- adding example script to reload and plot curvature from all frames data
Bug fixes
- Fixed the error in saveAllDataEvenIfNotInBouts
- trying to fix bug in release system for Windows and Mac related to "subcommands" in __main__.py

1.33.17

Release notes
Enhancements
- Use infer_objects with pandas to ensure correct dtype and avoid bug in unsupervised clustering
Bug fixes
- specifying exact pandas version to solve bug in released version with unsupervised clustering

1.33.16

Release notes
Enhancements
- adding option to improve contrast for deep learning tracking
- adding automatic retrieval of coordinates of head center and tail tip for head embedded tracking with deep learning
- add default genotype sort order (WT, Het, Mut) to kinematic parameter analysis and clustering
Bug fixes
- Requiring minimum library versions for both scikit-learn and threadpoolctl to fix bug in unsupervised clustering

1.33.15

Release notes
New features
- Adding unet model to deep learning tracking options (first version, not finished yet)
Bug fixes
- ensure Next button is correctly enabled during config creation

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