Detect and visualize human poses in images and videos
Using our method, given a support image and skeleton we can
Detect 3D object poses in images
Detect and estimate human poses in images
Estimate human poses in images
Estimate hand pose from an RGB image
Mediapipe, OpenCV, CVzone simple pose detection
Transform pose in an image using another image
Duplicate this leaderboard to initialize your own!
Analyze your powerlifting form with video input
A visual scorer of two dance videos
Estimate and visualize 3D body poses from video
Estimate 3D character pose from a sketch
ViTPose Transformers is an advanced pose estimation tool designed to detect and visualize human poses in images and videos. It leverages cutting-edge transformer architecture to deliver accurate and efficient pose estimation, making it suitable for various applications in computer vision, robotics, and healthcare.
• Transformer-Based Architecture: Utilizes transformer models for improved feature extraction and pose prediction. • High Accuracy: Delivers precise pose estimation with robust handling of complex poses and occlusions. • Multi-Format Support: Processes both images and videos seamlessly. • Real-Time Processing: Optimized for fast inference, enabling real-time applications. • Customizable: Allows fine-tuning for specific use cases and environments. • Integration-Friendly: Easily integrates with existing computer vision pipelines and frameworks.
What formats does ViTPose Transformers support?
ViTPose Transformers supports various image formats (e.g., PNG, JPEG, BMP) and video formats (e.g., MP4, AVI).
How accurate is ViTPose Transformers?
The accuracy depends on the model variant and input resolution. It achieves state-of-the-art performance on benchmark datasets like COCO.
Can ViTPose Transformers be used for real-time applications?
Yes, ViTPose Transformers is optimized for real-time processing, making it suitable for live video analysis and interactive applications.