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v1.2.0
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1.2.0 (2022-07-05)
Major Updates and Feature Improvements
Adds support for Python 3.10
Adds short description for IDARS algorithm #383
Adds support for NGFF v0.4 OME-ZARR .
Adds CLI for launching tile server.
Changes to API
Renames stainnorm_target() function to stain_norm_target().
Removes get_wsireader
Replaces the custom PlattScaler in tools/scale.py with the regular Scikit-Learn LogisticRegression .
Bug Fixes and Other Changes
Fixes bugs in UNET architecture.
Number of channels in Batchnorm argument in the decoding path to match with the input channels.
Padding 0 creates feature maps in the decoder part with the same size as encoder.
Fixes linter issues and typos
Fixes incorrect output with overlap in predictor.merge_predictions() and return_raw=True
Fixes errors with JP2 read. Checks input path exists.
Fixes errors with torch upgrade to 1.12.
Development related changes
Adds pre-commit hooks for consistency across the repo.
Sets up GitHub Actions Workflow.
Travis CI will be removed in future release.
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