dgs.utils.validation

Utilities for validating recurring data types.

Module Functions

validate_bboxes(bboxes[, length, dims, ...])	Given a torchvision tensor of bounding boxes, validate them and return them as a torchvision-tensor of bounding-boxes.
validate_dimensions(tensor, dims, *_[, length])	Given a tensor, make sure he has the correct number of dimensions.
validate_filepath(file_paths[, length])	Validate the file path.
validate_heatmaps(heatmaps[, length, dims, ...])	Validate a given tensor of heatmaps, whether it has the correct format and shape.
validate_ids(ids[, length])	Validate a given tensor or single integer value.
validate_image(images[, length, dims])	Given one single image or a stacked batch images, validate them and return a torchvision-tensor image.
validate_images(images)	Given one single or multiple images, validate them and return a torchvision-tensor image.
validate_key_points(key_points[, length, ...])	Given a tensor of key points, validate them and return them as torch tensor of the correct shape.
validate_value(value, data, validation)	Check a single value against a given predefined validation, possibly given some additional data.