README.md

metadata

title: MediaPipe Pose Estimation
short_description: Track 33 body keypoints using MediaPipe
emoji: 🧍
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false

MediaPipe Pose Estimation

Professional pose detection and visualization system powered by Google MediaPipe. Track 33 body keypoints with customizable visualization options.

Features

• Real-time pose estimation with 33 anatomical keypoints
• Adjustable detection and tracking confidence thresholds
• Black background or original video overlay options
• Single color or multicolor body part visualization
• Professional-grade output with H.264 encoding

Quick Start

1. Upload a video file (MP4, AVI, MOV, WebM)
2. Adjust confidence parameters (default: 0.5 recommended)
3. Select background type and color mode
4. Process video

Parameters

Detection Confidence (0.0-1.0)
Controls pose detection sensitivity. Higher values reduce false positives.

Tracking Confidence (0.0-1.0)
Determines tracking stability across frames. Higher values provide more stable tracking.

Color Modes

Single Color: Uniform skeleton visualization with customizable colors

Multicolor: Body parts colored by region

• Torso: Yellow
• Right Arm: Red | Left Arm: Blue
• Right Leg: Magenta | Left Leg: Green

Output

• Format: MP4 (H.264)
• Resolution and frame rate match input
• Processing time scales with video length and resolution

Technical Stack

MediaPipe Pose Landmarker | OpenCV | Gradio | Python

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Note: Videos exceeding 2 minutes or high resolution may require extended processing time.