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  # MediaPipe-Pose-Estimation: Optimized for Mobile Deployment
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  ## Detect and track human body poses in real-time images and video streams
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  The MediaPipe Pose Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of poses in an image.
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- This model is an implementation of MediaPipe-Pose-Estimation found [here]({source_repo}).
 
 
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  This repository provides scripts to run MediaPipe-Pose-Estimation on Qualcomm® devices.
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  More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/mediapipe_pose).
 
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  # MediaPipe-Pose-Estimation: Optimized for Mobile Deployment
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  ## Detect and track human body poses in real-time images and video streams
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  The MediaPipe Pose Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of poses in an image.
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+ This model is an implementation of Posenet-Mobilenet found [here](https://github.com/zmurez/MediaPipePyTorch/).
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  This repository provides scripts to run MediaPipe-Pose-Estimation on Qualcomm® devices.
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  More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/mediapipe_pose).