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๐Ÿ˜€๐Ÿคณ Simple face recognition authentication (Sign up + Sign in) written in Flutter using Tensorflow Lite and Firebase ML vision library.

License: BSD 3-Clause "New" or "Revised" License

Kotlin 0.21% Batchfile 1.55% Swift 0.67% Objective-C 0.06% Dart 95.29% Ruby 2.22%

facerecognitionauth's Introduction

banner image

FaceNetAuthentication

Simple face recognition authentication (Sign up + Sign in) written in Flutter using Tensorflow Lite and Google ML Kit library.

Stack

Flutter

For help getting started with Flutter, view our online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.

https://flutter.dev/

Tensorflow lite

TensorFlow Lite is an open source deep learning framework for on-device inference.

https://www.tensorflow.org/lite

Flutter + Tensrorflow lite = tflite_flutter package

TensorFlow Lite plugin provides a dart API for accessing TensorFlow Lite interpreter and performing inference. It binds to TensorFlow Lite C API using dart:ffi.

https://pub.dev/packages/tflite_flutter/install

Support

If you're interested in contributing, please let me know emailing me to [email protected]

Setup

1- Clone the project:

git clone https://github.com/MCarlomagno/FaceRecognitionAuth.git

2- Open the folder:

cd FaceRecognitionAuth

3- Install dependencies:

flutter pub get

Run in iOS directory

pod install

4- Run on device (Check device connected or any virtual device running):

flutter run

To run on iOS you need to have a developer account. See here https://stackoverflow.com/a/4952845

Screenshots

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Licence

https://opensource.org/licenses/BSD-3-Clause

facerecognitionauth's People

Contributors

mcarlomagno avatar peterlazar1993 avatar

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