Detect and annotate poses in images and videos
This app is used for Human pose Detection
Track body poses using a webcam
Detect and estimate human poses in images
Detect and label poses in real-time video
Small Space to test ViTPose
Detect poses in real-time video
Analyze images and videos to detect and visualize human poses
Create a video using aligned poses from an image and a dance video
Mediapipe, OpenCV, CVzone simple pose detection
Analyze body and leg angles in images
Transform pose in an image using another image
Synthpose Markerless MoCap VitPose
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.