Mediapipe, OpenCV, CVzone simple pose detection
Estimate camera poses from two images
A visual scorer of two dance videos
Detect... human poses in images
Analyzez une vidéo de danse et affichez les poses 3D
Showcasing Yolo, enabling human pose detection
Analyze workout posture in real-time
Detect human poses in videos
Analyze body and leg angles in images
Detect human poses in images
Estimate human poses in images
Generate detailed pose estimates from images
Detect and visualize poses in videos
PoseTest is a tool designed for pose estimation using libraries like Mediapipe, OpenCV, and CVzone. It allows users to detect and analyze human poses in videos or real-time feeds, making it a versatile solution for applications requiring pose detection.
• Built with Mediapipe, OpenCV, and CVzone for robust pose detection
• Supports video input processing for pose detection
• Provides real-time pose detection capabilities
• Generates pose-detected video outputs
• Offers customizable pose estimation for different use cases
What libraries does PoseTest use?
PoseTest is built using Mediapipe, OpenCV, and CVzone, ensuring accurate and efficient pose detection.
Can PoseTest handle real-time pose detection?
Yes, PoseTest supports real-time pose detection through camera feeds, making it suitable for live applications.
How do I customize the pose detection?
PoseTest allows customization of pose estimation by adjusting parameters in the libraries. CVzone particularly offers flexibility for customizing the pose detection process.