Utilities modules

ImageArray(input_array)

Class for image arrays.

load_data(img[, data_range, normalize, ...])	Load data from a numpy array, a pytorch tensor or a file path.
load_mhd(file_dir, file_name)	Load data from a .mhd file.
load_raw(file_dir, file_name)	Load data from a .raw file.
load_nifti(file_path)	Load data from a .nii file.
normalize_data(img, data_range_output[, ...])	Normalize an image to a given data range.
crop_image(img, x, y, z)	Crop the image array.
correlate_convolve_abs(img, kernel[, mode, ...])	Correlates or convolves a numpy array with a kernel.
gabor_convolve(img, scales_num, orientations_num)	Compute Log Gabor filter responses.
export_results(metrics, output_path, filename)	Export data to a csv file.
export_metadata(metrics, metrics_parameters, ...)	Export the metadata (custom parameters and package version) to a txt file.
export_image(results, img_r, img_m[, x, y, ...])	Print the reference and modified image side by side with the metric values.
find_largest_region(img[, iterations, ...])	Find the largest region in a binary image.
visualize_2d(img[, export_path])	Visualize a 2D image.
visualize_3d(img, slices[, export_path])	Visualize 3D image slices in 3 different planes.