cellcanvas / mock-annotation-evaluation / 0.0.1

Model Evaluation on Copick Data

Evaluates segmentation models from the mock-annotation solution on Copick data, generating metrics like IoU and F1.
Tags
imagingcryoetPythonnapari
Solution written by
Kyle Harrington
License of solution
MIT
Source Code

Arguments

--copick_config_path
Path to the Copick configuration JSON file. (default value: PARAMETER_VALUE)
--voxel_spacing
Voxel spacing used to scale pick locations. (default value: PARAMETER_VALUE)
--tomo_type
Tomogram type to use for each tomogram. (default value: PARAMETER_VALUE)
--embedding_name
Name of the embedding features to use. (default value: PARAMETER_VALUE)
--input_user_id
User ID for the input segmentation. (default value: PARAMETER_VALUE)
--input_label_name
Name of the input label segmentation. (default value: PARAMETER_VALUE)
--run_name
Name of the run to process. (default value: PARAMETER_VALUE)
--model_dir
Directory of trained model files. (default value: PARAMETER_VALUE)
--output_dir
Directory to save evaluation results. (default value: PARAMETER_VALUE)

Usage instructions

Please follow this link for details on how to install and run this solution.