Guide through yoga poses
Detect objects and poses in images
Showcasing Yolo, enabling human pose detection
Evaluate and improve your yoga pose accuracy
Analyze workout posture in real-time
Analyze images to detect human poses
Detect and highlight key joints in an image
Small Space to test ViTPose
Analyze body and leg angles in images
Estimate camera poses from two images
Detect and visualize poses in videos
Detect and pose estimate people in images and videos
Estimate and visualize 3D body poses from video
Yoga Pose Docker is a Docker container designed for pose estimation in yoga. It aims to guide users through various yoga poses using AI technology. The tool provides real-time feedback to help users improve their form and alignment during practice.
• Real-time pose tracking: Monitors yoga poses in real-time to provide immediate feedback. • AI-powered corrections: Offers suggestions to improve alignment and posture. • Library of yoga poses: Includes a comprehensive collection of yoga poses with descriptions. • Customizable sessions: Allows users to create personalized yoga routines. • Cross-platform compatibility: Can be deployed on multiple operating systems.
What hardware is required to run Yoga Pose Docker?
You need a computer with Docker installed and a webcam for pose tracking. A stable internet connection is required to pull the Docker image.
Can I use Yoga Pose Docker without internet?
Yes, after the initial download of the Docker image, you can run it offline. However, some features may require internet connectivity for updates or cloud-based services.
What if the AI doesn't recognize my pose correctly?
If the AI struggles to recognize your pose, ensure proper lighting, wear contrasting clothing, and position yourself clearly in front of the webcam. You can also refer to the pose library for guidance.