Detect and visualize human poses in images and videos
Track body poses using a webcam
Create a video using aligned poses from an image and a dance video
Estimate human poses in images
Estimate and visualize 3D body poses from video
Analyze golf images/videos to detect player and club poses
Detect and annotate poses in images and videos
A visual scorer of two dance videos
Analyze workout posture in real-time
Evaluate and pose a query image based on marked keypoints and limbs
Showcasing Yolo, enabling human pose detection
Generate pose estimates for humans, vehicles, and animals in images
Generate dance pose video from aligned pose
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.