How to Draw a Bounding Box with Python
Blog post from Roboflow
Bounding boxes are essential visual tools in computer vision for evaluating model performance by highlighting predictions, which is a post-processing step often demonstrated in model demos. The article explains how to draw bounding boxes on images using Python, specifically with the supervision Python package, which supports various annotators for visualization tasks such as object detection and segmentation. The process involves obtaining four corner coordinates from model outputs, like those from Roboflow, and using functions like sv.BoundingBoxAnnotator and sv.plot_image to display annotated images. By integrating libraries like Detectron2, Ultralytics, and Roboflow, users can load and visualize predictions efficiently, with additional options for customizing annotations.
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