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Current state#

PyPI

CAREamics is an on-going project and will include new algorithms in the next releases. We are currently reaching Milestone 1. Here is a list of the current features:

Algorithms#

  • Noise2Void 2D/3D/Channels
  • structN2V 2D/3D/Channels
  • N2V2 2D/3D/Channels
  • CARE 2D/3D/Channels
  • Noise2Noise 2D/3D/Channels
  • CryoCARE 2D/3D
  • PN2V 2D/3D/Channels
  • PPN2V 2D/3D/Channels
  • DivNoising/HDN 2D/3D/Channels
  • muSplit 2D/3D
  • denoiSplit 2D/3D
  • EmbedSeg

Features#

  • Pydantic configuration
  • TIFF dataloader
  • In memory dataset
  • Training/prediction
  • Tiled prediction
  • Checkpoint saving/loading
  • Save/load bioimage.io format
  • Zarr dataset
  • Automated Mixed-Precision
  • torch.compile
  • napari plugin