Mediapipe, OpenCV, CVzone simple pose detection
Small Space to test ViTPose
ITS PRETTY
Detect objects and poses in images
Generate dance pose video from aligned pose
Track body poses using a webcam
Detect poses in real-time video
Showcasing Yolo, enabling human pose detection
Detect and annotate poses in images
This app is used for Human pose Detection
Detect and pose estimate people in images and videos
Transform pose in an image using another image
Synthpose Markerless MoCap VitPose
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.