Published March 23, 2022
| Version 0.3.0
Software
Open
constantinpape/torch-em: Support for 4d data and several other fixes
Authors/Creators
- 1. University Goettingen
- 2. @kreshuklab
- 3. University Heidelberg
- 4. Science For Life Laboratory
Description
What's Changed
- Small fix by @oeway in https://github.com/constantinpape/torch-em/pull/31
- Hpa dataset by @constantinpape in https://github.com/constantinpape/torch-em/pull/32
- fix input for ilastik predictor by @JonasHell in https://github.com/constantinpape/torch-em/pull/33
- add boolean to set ilastik threads to 0 by @JonasHell in https://github.com/constantinpape/torch-em/pull/34
- add plt functionality for check_loader by @JonasHell in https://github.com/constantinpape/torch-em/pull/35
- fix n_sample bug in rawDataset and plt bug in check_loader by @JonasHell in https://github.com/constantinpape/torch-em/pull/36
- fix bugs for pseudo-label learning by @JonasHell in https://github.com/constantinpape/torch-em/pull/37
- Update for new build_model signature by @constantinpape in https://github.com/constantinpape/torch-em/pull/38
- Implement shallow2deep for multi-class predictions by @constantinpape in https://github.com/constantinpape/torch-em/pull/39
- Enable partial deserialization of raw and segmentation dataset by @constantinpape in https://github.com/constantinpape/torch-em/pull/40
- Enable prediction with channels and add test for it by @constantinpape in https://github.com/constantinpape/torch-em/pull/41
- Support 4d data and labels with channels in segmentation dataset by @constantinpape in https://github.com/constantinpape/torch-em/pull/42
- @oeway made their first contribution in https://github.com/constantinpape/torch-em/pull/31
- @JonasHell made their first contribution in https://github.com/constantinpape/torch-em/pull/33
Full Changelog: https://github.com/constantinpape/torch-em/compare/0.2.0...0.3.0
Files
constantinpape/torch-em-0.3.0.zip
Files
(239.9 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/constantinpape/torch-em/tree/0.3.0 (URL)