About
Solution Catalog
Documentation
Tutorial
cellcanvas album catalog
sharing cellcanvas tools
cellcanvas
/
segment-tomogram
/ 0.1.2
Predict Segmentation Using a Model
A solution that predicts segmentation using a model for a Copick project and saves it as 'predictionsegmentation'.
Tags
imaging
cryoet
Python
napari
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)
--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)
--run_name
Name of the Copick run to process. (default value: PARAMETER_VALUE)
--model_path
Path to the trained model file. (default value: PARAMETER_VALUE)
Usage instructions
Please follow
this link
for details on how to install and run this solution.