neodroidvision.utilities.visualisation.bounding_box_visualisation

A set of functions that are used for visualisation.

These functions often receive an image, perform some visualisation on the image. The functions do not return a value, instead they modify the image itself.

Functions

cdf_plot(values)	Numpy function to plot CDF.
draw_bounding_box_on_image(image, x_min, ...)	Adds a bounding box to an image.
draw_bounding_box_on_image_array(image, ...)	Adds a bounding box to an image (numpy array).
draw_bounding_boxes_on_image(image, boxes[, ...])	Draws bounding boxes on image.
draw_bounding_boxes_on_image_array(image, boxes)	Draws bounding boxes on image (numpy array).
draw_keypoints_on_image(image, keypoints[, ...])	Draws keypoints on an image.
draw_keypoints_on_image_array(image, keypoints)	Draws keypoints on an image (numpy array).
draw_mask_on_image_array(image, mask[, ...])	Draws mask on an image.
encode_image_array_as_png_str(image)	Encodes a numpy array into a PNG string.
hist_plot(values, bins)	Numpy function to plot hist.
visualize_boxes_and_labels_on_image_array(...)	Overlay labeled boxes on an image with formatted scores and label names.

Classes

BoundingBoxCoordinatesSpec()
BoundingBoxSpec(coordinates, score, label, ...)