Mediapipe, OpenCV, CVzone simple pose detection
Small Space to test ViTPose
Analyze body and leg angles in images
Evaluate and pose a query image based on marked keypoints and limbs
Using our method, given a support image and skeleton we can
Upload and verify front, side, and back pose images
Track body poses using a webcam
Duplicate this leaderboard to initialize your own!
Detect and label poses in real-time video
Estimate human poses in images
Detect human poses in images
Generate pose estimates for humans, vehicles, and animals in images
Detect and annotate poses in images
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.