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Releases: MouseLand/cellpose

v4.2.1.1 new Cellpose4 models!

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@carsen-stringer carsen-stringer released this 14 Jun 14:26

Check out the new Cellpose4 models, described here.

What's Changed

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Full Changelog: v4.1.1...v4.2.1.1

v4.1.1

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@mrariden mrariden released this 31 Mar 13:13
a9f8bfc

What's Changed

  • Gray saturation fix: drop blank channels from mean by @mrariden in #1423

Full Changelog: v4.1.0...v4.1.1

v4.1.0

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@mrariden mrariden released this 25 Mar 16:40
849ca11

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Full Changelog: v4.0.9...v4.1.0

v4.0.9

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@mrariden mrariden released this 04 Mar 18:01
cc9d63f

What's Changed

  • Revert to training in float32 by @mrariden in #1390
  • Update return tuple in 'eval' function documentation by @ralfox in #1403
  • Set transforms logging to debug level and add logger setup documentation by @mrariden in #1412
  • Fix GH workflows tests: configure tox to pass environment variables for PyTorch by @qin-yu in #1411
  • guess Z dim is 0 instead of argmin of dims by @mrariden in #1409
  • .nd2 files now load correctly in the gui by @tlambert03 in #1406

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Full Changelog: v4.0.8...v4.0.9

v4.0.8

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@mrariden mrariden released this 03 Dec 18:19
17fb25f

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Full Changelog: v4.0.7...v4.0.8

v4.0.7

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@mrariden mrariden released this 07 Oct 21:29
e3879a1

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New Contributors

Full Changelog: v4.0.6...v4.0.7

v4.0.6

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@mrariden mrariden released this 01 Jul 20:13
9e5cc9c

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Full Changelog: v4.0.5...v4.0.6

v4.0.5

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@mrariden mrariden released this 25 Jun 19:59
8ef8804

Updates to Cellpose-SAM

  • resample added back to CLI for diameter changes. Note that the diameter parameter is only used for image rescaling and is not always necessary to provide in CPSAM compared to CP3.
  • default model weights are changed to torch.bfloat16 instead of previous 32-bit float data type. This decreases the model size by ~50% and speeds up runtime by ~40%, therefore helping with OOM issues. Changing back to the 32-bit model can be done during CellposeModel instantiation by setting use_bfloat16=False.
  • Improved 3d image dimension guessing
  • Fixed a bug that ran the network 4x more often than necessary when image size was <256 length or width.
  • Added some documentation
  • Updated notebooks
  • Some more comprehensive testing

Changelog: v4.0.4...v4.0.5

v4.0.4

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@mrariden mrariden released this 21 May 20:10
9d59b2e

Introducing Cellpose-SAM!

New in cellpose v4

  • Cellpose-SAM aka CP4 is fully integrated in to the CLI/API/GUI and notebooks
  • cellpose.models.Cellpose class was removed, users should now only use cellpose.models.CellposeModel
  • Size estimation via cellpose.models.SizeModel class was removed. Users don't have to use the diameter setting since CP4 is much more robust to object size.
  • Denoising components via cellpose.denoise is currently not available.
  • Added more comprehensive testing
  • Better utilization of MPS for Mac users when doing 3D segmentation
  • Added --save_each flag for training from the CLI
  • More details are available in the paper, talk, and in the docs.

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Changelog for early cellpose v4 changes: v4.0.1...v4.0.4

v3.1.1.2

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@carsen-stringer carsen-stringer released this 02 May 19:06

This is the last release of Cellpose3 before the Cellpose-SAM release.

What's Changed

New Contributors

Full Changelog: v3.1.1.1...v3.1.1.2