v0.3.0

What's Changed

• Set numpy version compatible with 1.19.2 to fix installation issue by @McHaillet in #49
• Distributed implementation using mirrored strategy by @rdrighetto in #35

New Contributors

• @McHaillet made their first contribution in #49
• @rdrighetto made their first contribution in #35

Full Changelog: v0.2.2...v0.3.0

v0.2.2

What's Changed

• Fixing predict json by @EuanPyle in #41
• potential fix to issue 38 by @thorstenwagner in #39
• copy extended header into output file by @alisterburt in #44
• np.bool is depreciated in latest numpy version, this prevents error by @EuanPyle in #42

New Contributors

• @alisterburt made their first contribution in #44

Full Changelog: v0.2.1...v0.2.2

v0.2.1

What's Changed

• Added GPU ID selection capability by @EuanPyle in #24
• Fix quality issues by @tibuch in #33
• Update sample jsons and README by @EuanPyle in #28

New Contributors

• @EuanPyle made their first contribution in #24

Full Changelog: v0.2.0...v0.2.1

v0.2.0

Huge thanks to @thorstenwagner for joining the team and pushing cryoCARE forward 🎆

What's Changed

• Update installation instructions to solve issue #2 by @thorstenwagner in #3
• Clarify path variable ( #4 ) by @thorstenwagner in #5
• Fix typo by @thorstenwagner in #9
• Update installation instructions to use keras-gpu by @thorstenwagner in #10
• Fix for issue #16 by @thorstenwagner in #19
• Fix computation for val_cut_off by @thorstenwagner in #7
• Create path before saving training data to disk by @thorstenwagner in #8
• Merge MPI Dortmund version into this main repository by @thorstenwagner in #18

New Contributors

• @thorstenwagner made their first contribution in #3

Full Changelog: v0.1.1...v0.2.0

v0.1.1

Add n_tiles parameter to predict.

v0.1.0

Memory efficient cryoCARE implementation.