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gouthamvgk / facemesh_coreml_tf

This repository contains the code for converting tflite model of Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs and Blazeface to tensorflow and coreml.
Apache License 2.0
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iris tracking using mediapipe #1

Open lghasemzadeh opened 3 years ago

lghasemzadeh commented 3 years ago

Hello,

I have recently find this library: https://blog.tensorflow.org/2020/11/iris-landmark-tracking-in-browser-with-MediaPipe-and-TensorFlowJS.html and my concern is to use its updated version, which does the iris detection (in the webpage, the second GIF, the comparison of the older and newer version), I want to use the right side one because: 1) the model works more robust in this version 2) there is no shaking in face mesh 3) no facemesh disappearing during extreme head poses 4) does iris detection 5) it shows how eyes are closed or open via eye region landmarks, when eyes are closed the eye landmarks come very close to each other to show that eyelids are closed.

But this library is for JavaScript which I don't know that language and of course I can't install and use it in my python scripts. I am looking for its python version or a converter to convert it from JS to python.

Would you please help/guide me through this issue? Does your model give me what I am looking for?

Thank you

DRESSXcom commented 1 year ago

@lghasemzadeh Did you find a solution?