v3.1.1

New distributed cellpose module enables running of cellpose on really big data, on workstations and clusters, thanks to the heroic work of @GFleishman ! Check out the documentation here.

We made bug fixes for Mac from v3.1 and other small bug fixes, thanks to all the contributors.

What's Changed

• fix bug with channels=None in CellposeDenoiseModel (#1098)
• add z_axis in CellposeDenoiseModel (#1099)
• to avoid MPS errors, use CPU for Mac in get_masks_torch and use float32 in _extend_centers_gpu (#1034, #1063, #1097)
• fix now masks found issue (#1038)
• add weights_only flag (#1042)
• bug with invert=True (#1056)
• fix issue with version splitting (#1074)
• fix bug with anisotropy in make_train (#1076)
• fixing issue when channels and z are equal in stack (#1086)
• Larger than memory images: performant and scalable distributed implementation for workstations and clusters by @GFleishman in #1062
• Bugfix: Removing unused 'ARBITRARY_SIZE' by @Pablo1990 in #1082
• train.py: remove superfluous percent sign in f-string by @deroulers in #1077
• Add norm percentiles as CLI argument by @TheBestDestroyer in #1058
• [Doc] Describe how to manage multithreading by @royjacobson in #1045
• Fix saving of flow fields and cell probability in GUI by @qin-yu in #1103
• File selection cancel logic added by @knowblesse in #1040
• feat: custom output name by @antoinemeyer5 in #1104

New Contributors

• @GFleishman made their first contribution in #1062
• @Pablo1990 made their first contribution in #1082
• @deroulers made their first contribution in #1077
• @TheBestDestroyer made their first contribution in #1058
• @royjacobson made their first contribution in #1045
• @knowblesse made their first contribution in #1040
• @antoinemeyer5 made their first contribution in #1104

Full Changelog: v3.1.0...v3.1.1