Detect and annotate poses in images and videos
Detect human poses in images
Transform pose in an image using another image
Detect poses in real-time video
Detect and visualize poses in videos
Detect and highlight key joints in an image
Analyze images to detect human poses
Small Space to test ViTPose
Combine and match poses from two videos
Detect 3D object poses in images
Detect objects and poses in images
Track body poses using a webcam
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.