Mediapipe, OpenCV, CVzone simple pose detection
Detect human poses in videos
Detect and annotate poses in images
Track body poses using a webcam
Using our method, given a support image and skeleton we can
Showcasing Yolo, enabling human pose detection
Combine and match poses from two videos
Detect and visualize poses in videos
Visualize pose-format components and points.
Analyze your squat form with real-time feedback
Detect human poses in images
Testing Human Stance detection
Detect and visualize human poses in images and videos
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.