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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.
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