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README.md

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 # MediaPipe-Face-Detection: Optimized for Mobile Deployment
 ## Detect faces and locate facial features in real-time video and image streams
 
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 Designed for sub-millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, left eye tragion, and right eye tragion) of faces in an image.
 
-This model is an implementation of MediaPipe-Face-Detection found [here]({source_repo}).
+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-Face-Detection on Qualcomm® devices.
 More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/mediapipe_face).