Upload an image to detect and analyze your yoga pose
Showcasing Yolo, enabling human pose detection
Generate detailed pose estimates from images
Track body poses using a webcam
Synthpose Markerless MoCap VitPose
Transform pose in an image using another image
Analyze body and leg angles in images
Estimate camera poses from two images
Detect human poses in videos
Estimate human poses in images
Detect and annotate poses in images and videos
Detect and visualize poses in videos
Play Solfeggio tones to enhance well-being
Yoga Pose Streamlit is an AI-powered application designed for pose estimation. It allows users to upload an image to detect and analyze yoga poses. This tool is ideal for yoga practitioners, instructors, and enthusiasts looking to improve their form and technique.
• AI-Powered Pose Detection: Automatically identifies and analyzes yoga poses from uploaded images.
• Real-Time Feedback: Provides immediate feedback on pose alignment and suggests corrections.
• User-Friendly Interface: Simple and intuitive design for seamless user experience.
• Cross-Platform Compatibility: Works on multiple devices, including desktops, laptops, and mobile devices.
pip install -r requirements.txt to install necessary libraries.streamlit run app.py to launch the app.What devices does Yoga Pose Streamlit support?
Yoga Pose Streamlit is compatible with most modern devices, including desktops, laptops, and mobile devices with a supported browser.
Can I use Yoga Pose Streamlit offline?
No, Yoga Pose Streamlit requires an internet connection to run, as it relies on cloud-based AI models for pose detection.
How accurate is the pose detection?
The accuracy depends on the quality of the input image and the complexity of the pose. Clear, well-lit images typically yield better results.