bbox-visualizer

This is a simple library which has different functions that lets users draw different types of visualizations. Useful for visualizing objects after object detection.

The bounding box points are expected in the format: (xmin, ymin, xmax, ymax)

• Documentation: https://bbox-visualizer.readthedocs.io.
• Free software: MIT license

Installation:

pip install bbox-visualizer

Usage:

import bbox_visualizer as bbv

Photos by Joshua Earle, Jonas Weckschmied and Sherzod Max on Unsplash.

image	function
	bbv.draw_rectangle(img, bbox) bbv.add_label(img, label, bbox, top=True)
	bbv.draw_rectangle(img, bbox) bbv.add_T_label(img, label, bbox)
	bbv.draw_flag_with_label(img, label, bbox)
	bbv.draw_rectangle(img, bbox) bbv.add_label(img, label, bbox, top=False)
	bbv.draw_rectangle(image, bbox, is_opaque=True) bbv.add_label(img, label, bbox, draw_bg=False, top=False)
	bbv.draw_multiple_rectangles(img, bboxes) bbv.add_multiple_labels(img, labels, bboxes)
	bbv.draw_multiple_flags_with_labels(img, labels, bboxes)
	bbv.draw_multiple_rectangles(img, bboxes) bbv.add_multiple_T_labels(img, labels, bboxes)

There are optional functions that can draw multiple bounding boxes and/or write multiple labels on the same image, but it is advisable to use the above functions in a loop in order to have full control over your visualizations.

• bbv.draw_multiple_rectangles(img, bboxes)
• bbv.add_multiple_labels(img, labels, bboxes)
• bbv.add_multiple_T_labels(img, labels, bboxes)
• bbv.draw_multiple_flags_with_labels(img, labels, bboxes)

bboxes and labels are lists in the above examples.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.