MediaPipe-Pose-Estimation
Detect and track human body poses in real‑time images and video streams.
The MediaPipe Pose Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of poses in an image.
Technical Details
Input resolution:256x256
Number of parameters (MediaPipePoseDetector):815K
Model size (MediaPipePoseDetector):3.14 MB
Number of parameters (MediaPipePoseLandmarkDetector):3.37M
Model size (MediaPipePoseLandmarkDetector):12.9 MB
Applicable Scenarios
- Accessibility
- Augmented Reality
- ARVR
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Tags
- real-time
Supported IoT Devices
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8550 (Proxy)
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