Mushroom-Wang/Face-Recognition

A Web App integrated with ML models to recognize human faces

Welcome to Face Recognition Web App by Quan Wang

This is a web app integrated with ML models to recognize human faces and identify genders.

Installation Instruction for MacOS

1. Install Anaconda Python
2. Install virtural environment

   python3 -m pip install --user virtualenv
   

3. Create virtual environment

   python3 -m venv flask
   

4. Activate virtual environment

   source flask/bin/activate

5. Install dependencies in requirement.txt

   pip install -r requirements.txt
   

6. Install OpenCV

   pip install opencv-python
   

11 Steps to Develop Face Recognition ML Model Pipeline

1. Read input image
2. Convert image to greyscale
3. Extract/Crop the face using haar cascase classifier
4. Data normalization (min max)
5. Resize image to (100,100)
6. Flatten image to (1x10000)
7. Subtract mean
8. Get the eigen image
9. Pass to ML model - SVM
10. Generate the prediction and score
11. Mark the output on the image

Integrate to Falsk Web App

1. Install flask

   python3 -m pip install Flask
   

2. How to run the web app

   python main.py
   

3. Set the development mode

   export FLASK_ENV=development
   

Deploy to Heroku

1. Create a Heroku account
2. Install Heroku CLI
3. Create Procfile

   echo "web: gunicorn app:app" > Procfile
   

4. Install Gunicorn

   python3 -m pip install gunicorn
   

5. Install dependencies

   python3 -m pip freeze > requirements.txt
   

6. Create the application

   heroku create face-recognition-classify
   

7. Push

   git push heroku master