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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)
pip install bbox-visualizer
import bbox_visualizer as bbv
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) |
bboxes
and labels
are lists in the above examples.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage
project template.
FAQs
Different ways of visualizing objects given bounding box data
We found that bbox-visualizer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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