Different ways of visualizing objects given bounding box data
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bbox-visualizer
This package helps users draw bounding boxes around objects, without doing the clumsy math that you'd need to do for positioning the labels. It also has a few different types of visualizations you can use for labeling objects after identifying them.
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 |
|---|---|
 |
img = bbv.draw_rectangle(img, bbox) img = bbv.add_label(img, label, bbox, top=True) |
 |
img = bbv.draw_rectangle(img, bbox) img = bbv.add_T_label(img, label, bbox) |
 |
img = bbv.draw_flag_with_label(img, label, bbox) |
 |
img = bbv.draw_rectangle(img, bbox) img = bbv.add_label(img, label, bbox, top=False) |
 |
img = bbv.draw_rectangle(image, bbox, is_opaque=True) img = bbv.add_label(img, label, bbox, draw_bg=False, top=False) |
 |
img = bbv.draw_multiple_rectangles(img, bboxes) img = bbv.add_multiple_labels(img, labels, bboxes) |
 |
img = bbv.draw_multiple_flags_with_labels(img, labels, bboxes) |
 |
img = bbv.draw_multiple_rectangles(img, bboxes) img = 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.
