Mediapipe, OpenCV, CVzone simple pose detection
Generate dance pose video from aligned pose
Create a video using aligned poses from an image and a dance video
Detect and visualize poses in videos
Detect and estimate human poses in images
Testing Human Stance detection
Combine and match poses from two videos
Duplicate this leaderboard to initialize your own!
Synthpose Markerless MoCap VitPose
Detect and annotate poses in images and videos
Evaluate and pose a query image based on marked keypoints and limbs
Detect and annotate poses in images
Track body poses using a webcam
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.