Detect and annotate poses in images and videos
Duplicate this leaderboard to initialize your own!
Mediapipe, OpenCV, CVzone simple pose detection
Estimate 3D character pose from a sketch
Detect and highlight key joints in an image
This app is used for Human pose Detection
Detect... human poses in images
Upload and verify front, side, and back pose images
Detect human poses in videos
Showcasing Yolo, enabling human pose detection
Estimate human poses in images
Small Space to test ViTPose
Analyzez une vidéo de danse et affichez les poses 3D
ViTPose Transformers is a cutting-edge AI tool designed for pose estimation, aiming to detect and annotate human poses in images and videos. Leveraging the power of transformer architectures, it provides accurate and efficient pose detection, making it suitable for applications in computer vision, robotics, and beyond.
pip install vitpose-transformers.from vitpose import ViTPose.model.detect(image).What is pose estimation?
Pose estimation is the process of identifying the positions of body parts (keypoints) in images or videos, enabling applications like pose tracking and gesture recognition.
What file formats does ViTPose support?
ViTPose supports JPEG, PNG, BMP, and MP4 formats for images and videos.
Can ViTPose be used in real-time applications?
Yes, ViTPose is optimized for real-time processing, making it suitable for video streams and live applications.