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Version 3.5.9

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@danifranco danifranco released this 01 Feb 09:23
· 1085 commits to master since this release
v3.5.9
d77dba8

Major:

  • Add synapse segmentation options for instance segmentation (in experimental state)

Minor:

  • Add script to convert instance segmentation datasets into detection workflow format
  • Print a better message when shapes does not match between samples
  • Some variables for detection has been modified and now don't need to be set per class values:
    • Change TEST.POST_PROCESSING.REMOVE_CLOSE_POINTS_RADIUS default value to 0
    • Change TEST.POST_PROCESSING.DET_WATERSHED_FIRST_DILATION default value to [-1,-1]
    • Change TEST.DET_MIN_TH_TO_BE_PEAK default value to 0.2
    • Change TEST.DET_TOLERANCE default value to 10
  • Add instance segmentation multihead test in run_checks.py
  • Update convert_old_model_cfg_to_current_version function to cover new changes

Bugs fixed:

  • Handle multiple data within Zarr/H5 during test
  • Delete channel restriction when ensuring 3D shape (convert_instance_data_to_detection.py)
  • Fix class prediction to the points in detection
  • Fix error with diplib package
  • Fix issue between TRAIN.PATIENCE and TRAIN.LR_SCHEDULER.REDUCEONPLATEAU_PATIENCE
  • Solve issues with data type during detection watershed so the instance properties can be measured with diplib as it does not support int64 data type
  • Fix issue when multiple raw images (lightmycells case) were provided
  • Fix issue with BMZ model exportation
  • Solve issues with run_checks.py due to recent changes. Now it is correctly reporting when a test crashes as it will crash too.

Full Changelog: v3.5.8...v3.5.9

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