brails.processors.street_level_damage_detection.street_level_damage_detection module

Class object to predict building damage from street imagery using CLIP.

class brails.processors.street_level_damage_detection.street_level_damage_detection.DamageDetection_StreetLevel(input_dict: dict | None = None)

Bases: CLIPClassifier

A classifier that determines if a building is damaged using CLIP.

This class initializes the classifier with text prompts and predefined damage-related classes to make predictions from street-level imagery.

Attributes:

text_prompts (list[str]):

A list of text prompts used for damage classification.

classes (list[str]):

A list of class labels representing the damage states.

predict(images: ImageSet)

Predicts whether buildings in the given images are damaged using CLIP.

This method sets predefined damage classification classes and their corresponding text prompts before calling the parent class’ predict method.

Args:

images (ImageSet):

An object containing the images to classify.

Returns:

dict[str, str]:

A dictionary mapping image keys to their predicted damage state (‘Damaged’ or ‘Not damaged’).

Raises:

TypeError or ValueError:

If the conditions on classes and text_prompts are not met in the parent method.