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v0.2.0
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@ksugar ksugar released this 29 Sep 16:45
· 197 commits to main since this release
v0.2.0
214a14e

Release notes

  • Add XYZ flip operations in data augmentation
  • Change MIN_AREA_ELLIPSOID from 20 to 9
  • Automatically initialize a new model with the pretrained parameters
  • Make detection algorithm compatible with 2D
  • Make flow algorithm compatible with 2D
  • Make export function compatible with 2D
  • Update loss functions for detection (See details in the paper)
  • Add tests for GitHub Actions
  • Add get_gpus() for getting GPU info from the client software
  • Implement upload endpoint for the client software
  • Implement dataset endpoint for the client software
  • Add environment.yml to reproduce the conda environment
  • Implement logger that can be shared with the client software
  • Update Colab notebook
  • Use averaged training losses in log
  • log_interval can be set as a parameter
  • Reorganize Redis state management
  • Reorganize cancel behavior
  • Stop using probability to refine spot radii
  • Move keep_axials from model to dataset
  • Upgrade tensorflow to 2.4.0
  • Organize model reset strategy
    • Versatile -> latest versatile model
    • Default -> self-supervised (detection) or random (flow)
    • URL -> load from the specified URL
  • Update README
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