Pose Estimation
Showing 7 of 7 projects
A cutting-edge framework for training and deploying state-of-the-art YOLO models for object detection, segmentation, classification, and pose estimation.
WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection without cameras.
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
A Python package for evaluating and comparing odometry and SLAM algorithm trajectories with support for multiple formats and metrics.
A modular Python toolbox for state-of-the-art 6-DoF visual localization using hierarchical image retrieval and feature matching.
A curated list of resources for action recognition, video understanding, object detection, and pose estimation in computer vision.
A real-time monocular SLAM system that creates large-scale semi-dense maps using a fully direct approach without feature extraction.
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