Detect and annotate poses in images and videos
Generate detailed pose estimates from images
Evaluate and pose a query image based on marked keypoints and limbs
Detect 3D object poses in images
Estimate and visualize 3D body poses from video
Detect objects and poses in images
Detect human poses in images
Analyze body and leg angles in images
Estimate 3D character pose from a sketch
Analyze images to detect human poses
Play Solfeggio tones to enhance well-being
Showcasing Yolo, enabling human pose detection
Create a video using aligned poses from an image and a dance video
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.