Detect and annotate poses in images
Detect objects and poses in images
Detect... human poses in images
This app is used for Human pose Detection
Mediapipe, OpenCV, CVzone simple pose detection
Estimate 3D character pose from a sketch
Detect and label poses in real-time video
Visualize pose-format components and points.
Analyze images and videos to detect and visualize human poses
Analyze images to detect human poses
Detect and pose estimate people in images and videos
Estimate human poses in images
Detect and visualize poses in videos
The Pose Estimation Demo is an AI-powered tool designed to detect and annotate human poses in images. It leverages advanced computer vision techniques to identify key points on the human body, such as head, shoulders, elbows, wrists, hips, knees, and ankles. This tool is particularly useful for applications like fitness coaching, gaming, and surveillance, where understanding human movement and posture is essential.
What image formats are supported?
The Pose Estimation Demo supports common formats like JPEG, PNG, and BMP.
How accurate is the pose estimation?
Accuracy depends on image quality and lighting conditions but typically achieves high precision for clear, well-lit images.
Can the demo process real-time video?
No, the demo processes images only. For real-time video processing, consider integrating with video processing APIs or modifying the tool for video input.
How do I interpret the keypoint annotations?
Each keypoint is labeled with a number and connected by lines to form a skeletal structure. Use the legend provided to identify specific body parts.
Can I customize the visualization?
Yes, you can adjust line thickness and colors in most implementations. Check the settings menu for customization options.