virelay.image_processing

Contains some helper functions for processing images.

Module Attributes

BorderMethod

Represents the different methods that can be used to create a border around an image.

Functions

add_border(image, new_width, new_height, method)	Up-samples the specified image, by making a border around the image.
center_crop(image, new_width, new_height)	Crops the image evenly on all sides to the desired size.
generate_heatmap_image_black_fire_red(...)	Generates a heatmap with a gray background, where red tones are used to visualize positive relevance values and blue tones are used to visualize negative relevances.
generate_heatmap_image_black_green(...)	Generates a heatmap with a black background, where green tones are used to visualize positive relevance values and blue tones are used to visualize negative relevances.
generate_heatmap_image_black_yellow(...)	Generates a heatmap with a black background, where yellow tones are used to visualize positive relevance values and blue tones are used to visualize negative relevances.
generate_heatmap_image_gray_red(attribution_data)	Generates a heatmap with a gray background, where red tones are used to visualize positive relevance values and blue tones are used to visualize negative relevances.
generate_heatmap_image_using_matplotlib(...)	Generates a heatmap from the specified attribution data using the color maps provided by Matplotlib.
render_heatmap(attribution_data, color_map)	Takes the raw attribution data and converts it so that the data can be visualized as a heatmap.
render_superimposed_heatmap(...)	Renders the heatmap an superimposes it onto the specified image.