Mediapipe, OpenCV, CVzone simple pose detection
Combine and match poses from two videos
Analyze your powerlifting form with video input
Using our method, given a support image and skeleton we can
Draw hand and pose landmarks on live webcam feed
Transform pose in an image using another image
Small Space to test ViTPose
Detect and visualize human poses in images and videos
Track chicken poses in real-time
Generate detailed pose estimates from images
Estimate human poses in images
Detect poses in real-time video
Showcasing Yolo, enabling human pose detection
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.