How to Display Keypoint Detections with Python
Blog post from Roboflow
James Gallagher's guide, published on September 3, 2024, details using the supervision Python package to visualize keypoint detections on source images, a crucial step in interpreting results from keypoint detection models. The guide explains how to install the supervision package, load data into a KeyPoints object from popular detection libraries like Roboflow Inference and YOLOv8, and choose among various annotators offered by supervision for visualizing keypoints. Specifically, it demonstrates using the EdgeAnnotator to draw lines between keypoints in an image, showcasing its application on an image of two people playing basketball. The tutorial emphasizes the versatility of the supervision package for computer vision tasks, suggesting further exploration through the package's KeyPoint API documentation.