Mediapipe, OpenCV, CVzone simple pose detection
Create a video using aligned poses from an image and a dance video
Transform pose in an image using another image
Small Space to test ViTPose
Estimate 3D character pose from a sketch
Synthpose Markerless MoCap VitPose
Detect human poses in videos
Estimate camera poses from two images
Detect objects and poses in images
ITS PRETTY
Estimate and visualize 3D body poses from video
A visual scorer of two dance videos
Generate dance pose video from aligned pose
PoseTest is a powerful pose estimation application designed to detect human poses in video and images. Built using state-of-the-art libraries like Mediapipe, OpenCV, and CVzone, it provides accurate and real-time pose detection. The app is ideal for applications such as fitness tracking, gaming, and surveillance, offering a simple yet robust solution for pose analysis.
• Real-Time Pose Detection: Detect human poses instantly in video streams or webcam feeds.
• Multi-Person Support: Track poses of multiple individuals simultaneously.
• Customizable: Adjust detection sensitivity and visualization settings.
• Video Export: Save videos with overlayed pose estimations.
• Cross-Platform Compatibility: Runs smoothly on Windows, macOS, and Linux.
What libraries does PoseTest use?
PoseTest utilizes Mediapipe for pose detection, OpenCV for video processing, and CVzone for enhanced computer vision functionalities.
Can PoseTest detect poses in pre-recorded videos?
Yes, PoseTest supports pose detection in both live webcam feeds and pre-recorded video files.
Is PoseTest suitable for real-time applications?
Absolutely! PoseTest is optimized for real-time pose detection, making it ideal for applications requiring instant feedback.