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README.md

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 # MP_Blendshapes
 
 ## Model Description
-MP_Blendshapes has been ported to pytorch from Google's [mediapipe](https://github.com/google-ai-edge/mediapipe) library using Liam Schoneveld's github [repository](https://github.com/nlml/deconstruct-mediapipe). The inputs are 146/473 of mediapipe's FaceMeshV2 high density landmark model. The 52 blendshapes are similar to ARKit and loosely correspond to Facial Action Unit Coding Systen.
+MP_Blendshapes has been ported to pytorch from Google's [mediapipe](https://github.com/google-ai-edge/mediapipe) library using Liam Schoneveld's github [repository](https://github.com/nlml/deconstruct-mediapipe). The inputs are 146/473 of mediapipe's FaceMeshV2 high density landmark model. The 52 blendshapes are similar to [ARKit Fafce Blendshapes](https://arkit-face-blendshapes.com/) and loosely correspond to Facial Action Unit Coding System.
 
 See the mediapipe [model card](https://storage.googleapis.com/mediapipe-assets/Model%20Card%20Blendshape%20V2.pdf) for more details.