model-search / unet-model-search / 0.0.11

UNet with Optuna optimization

Optimization of UNet using Optuna with Copick data.
Tags
copickplanefitting
Solution written by
Kyle Harrington and Zhuowen Zhao
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)
--epochs
Number of training epochs. (default value: PARAMETER_VALUE)
--num_classes
Number of classes for segmentation, excluding the background class. (default value: PARAMETER_VALUE)
--num_trials
Number of trials for Optuna optimization. (default value: PARAMETER_VALUE)
--batch_size
Batch size for the DataLoader. (default value: PARAMETER_VALUE)
--random_seed
Random seed for reproducibility. (default value: 17171)

Usage instructions

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