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Tools for analyzing and visualizing the accuracy of keypoint detection models.
Distinct from Keypoint Detection: Distinct from Keypoint Detection: focuses on accuracy evaluation and display rather than the detection algorithms themselves.
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This project is a toolkit and API designed for parsing, manipulating, and visualizing image annotations for computer vision tasks. It provides a programming interface to load and organize Common Objects in Context annotations, specifically for object detection, image segmentation, and keypoint estimation. The library includes tools for converting formatted JSON files into data structures that support the analysis of pixel-level masks and skeletal markers. It enables the visual verification of ground truth accuracy by rendering bounding boxes, segmentation masks, and keypoint markers directly
Manages and displays skeletal markers to analyze human pose estimation accuracy.