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This project trains deep learning models on databases with human faces to be recognized. These models are afterwards converted in a lite format and implemented on Android to measure accuracy and time
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# Project Structure
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## Android
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- Contains the Android application used for facial recognition
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- Created with Android Studio
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- Ability to choose deep learning model and face database to test from a list
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- Select photo from gallery or take one with the camera
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- Measure accuracy and time
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## Python
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- Contains .ipynb script used on Google Colab to train models
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