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All Projects β†’ Jonsnow21 β†’ Face Recognition

Jonsnow21 / Face Recognition

Face Recognition Using Keras/tensorflow coupled with Node.js Server

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python
139335 projects - #7 most used programming language

Labels

machine-learningtensorflowdeep-neural-networksface-recognition

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Face Recognition based on FaceNet paper by Google researchers

A simple Face recognition AI coupled with Node.js server. Following Technologies were used while building the software

Machine Learning

Image Processing

Server

Pub/Sub

API end point

Post localhost:3000/

  • Request Body to train

You can send upto 10 images for each person image is an array of image files

note: you have to prepend "images/" to each file name I am planning to change this in future

{
    "type": "train",
    "data": {
        "name": "String",
        "image": ["images/file1", "images/file2"]
    }
}

  • Request Body to test

note: you have to prepend "images/" to each file name I am planning to change this in future

{
    "type": "test",
    "data": "images/file"
}

How to run on your own machine

  1. Before You start make sure you have every thing setuped

    • Install Anaconda
    • Create a Conda environment
    • Install Keras and Tensorflow
    • Install Opencv and dlib
    • Install Node.js
    • Install Redis

  2. Next cd to faceReco dir

    cd /path/to/faceReco

  3. Start redis server

    redis-server --daemonize yes

  4. Start Node server

    npm install

    node server.js

  5. Activate Conda environment

    source activate environmentName

  6. Start AI

    python pubsub.py

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