Showcasing Yolo, enabling human pose detection
Estimate human poses in images
Estimate hand pose from an RGB image
Evaluate and improve your yoga pose accuracy
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Mediapipe, OpenCV, CVzone simple pose detection
Detect and annotate poses in images
Estimate 3D character pose from a sketch
Detect objects and poses in images
Generate detailed pose estimates from images
Detect human poses in images
Using our method, given a support image and skeleton we can
Combine and match poses from two videos
YoloPose is a pose estimation tool that leverages the YOLO (You Only Look Once) framework to detect human poses in images. It is designed for real-time and accurate pose detection, making it suitable for various applications such as fitness tracking, gesture recognition, and more.
To use YoloPose, follow these steps:
What is YoloPose used for?
YoloPose is primarily used for human pose estimation, enabling applications like fitness tracking, gesture recognition, and immersive gaming.
Is YoloPose suitable for real-time applications?
Yes, YoloPose is optimized for real-time performance, making it ideal for applications requiring quick pose detection.
Where can I find tutorials or documentation?
Visit the official GitHub repository for tutorials, documentation, and sample code to get started with YoloPose.