Detect and highlight key joints in an image
Play Solfeggio tones to enhance well-being
Detect and estimate human poses in images
Estimate and visualize 3D body poses from video
Detect and pose estimate people in images and videos
Generate dance pose video from aligned pose
Estimate camera poses from two images
Detect and annotate poses in images
Small Space to test ViTPose
Mediapipe, OpenCV, CVzone simple pose detection
Track chicken poses in real-time
Detect and visualize poses in videos
Analyzez une vidéo de danse et affichez les poses 3D
Pose Experiment is an innovative tool designed for pose estimation, focusing on detecting and highlighting key joints in an image. It serves as a platform for experimenting with pose detection, making it ideal for developers, researchers, and enthusiasts exploring human pose tracking. Leveraging advanced AI, it provides accurate and versatile pose analysis, enabling deep insights into human movement and posture.
• Real-time processing: Analyze images instantly with fast pose detection. • Multi-person detection: Identify and track poses of multiple individuals in a single image. • Key joint highlighting: Accurately pinpoint and visualize body joints such as shoulders, elbows, knees, and ankles. • High accuracy: Utilizes state-of-the-art AI models for precise pose estimation. • Customizable outputs: Adjust visualization settings, such as joint connections and confidence levels. • Compatibility: Works with various image formats and supports integration into larger applications.
What is the accuracy of Pose Experiment?
Pose Experiment leverages advanced AI models, ensuring high precision in detecting joints and estimating poses.
Can it process multiple people in one image?
Yes, Pose Experiment supports multi-person detection, tracking all individuals in the image simultaneously.
What formats does it support?
It supports common image formats such as JPG, PNG, and BMP.