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v0.2.0
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@conradry conradry released this 02 Jun 14:27
· 67 commits to main since this release
v0.2.0
8689292

What's Changed

New tutorials and detailed usage notes at: https://empanada.readthedocs.io/en/latest/empanada-napari.html

New Features

  • Added the MitoNet_v1_mini model which uses BiFPN modules for parameter efficiency.
  • Added support to easily pick training data from an individual or stack of 2D images and 3D volumes (isotropic and anisotropic). Allows manual selection of ROIs from dropped points.
  • Added module to store annotated training data in the directory format expected by empanada.
  • Added support for fine-tuning any existing models.
  • Added module to print out descriptions of any registered models to aid in the preparation of fine-tuning datasets.
  • Added support for training panoptic segmentation models from scratch or from CEM1.5M pre-trained weights.
  • Updated the Register new model module to allow for remote (URL) model files. Switched from requiring a zip file to model config and paths to torch scripted models.
  • Modified model config files to include a FINETUNE section with relevant (hyper)parameters.

Contributors

conradry
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