urbanlc.model.deep_learning.DeepLearningLCC.validate#

DeepLearningLCC.validate(root: Optional[str] = None, img_glob: Optional[str] = None, gt_glob: Optional[str] = None, img_paths: Optional[List[str]] = None, gt_paths: Optional[List[str]] = None, cache: bool = True) → Dict[str, Any]#

Validate the deep learning model.

Parameters:

  • root (str, optional) – Root directory for data.

  • img_glob (str, optional) – Image file pattern.

  • gt_glob (str, optional) – Ground truth file pattern.

  • img_paths (List[str], optional) – List of image paths.

  • gt_paths (List[str], optional) – List of ground truth paths.

  • cache (bool, optional) – Whether to use caching.

Returns:

Dictionary of validation results.

Return type:

Dict[str, Any]