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copick
/
labeled-data-from-picks
/ 0.0.3
Process Copick Runs and Save Features and Labels
A solution that processes all Copick runs and saves the resulting features and labels into a DataFrame.
Tags
imaging
cryoet
Python
Solution written by
Kyle Harrington
License of solution
MIT
Source Code
View on GitHub
Arguments
--copick_config_path
Path to the Copick configuration JSON file. (default value: PARAMETER_VALUE)
--painting_segmentation_name
Name for the painting segmentation. (default value: PARAMETER_VALUE)
--session_id
Session ID for the segmentation. (default value: PARAMETER_VALUE)
--user_id
User ID for segmentation creation. (default value: PARAMETER_VALUE)
--voxel_spacing
Voxel spacing used to scale pick locations. (default value: PARAMETER_VALUE)
--output_dataframe_path
Path for the output CSV file containing the features and labels. (default value: PARAMETER_VALUE)
Usage instructions
Please follow
this link
for details on how to install and run this solution.