/Facial-Recognition-Client-Server

Primary LanguagePython

Facial Recognition

This repository contains code that allows you to run this facial recognition script locally, or from a client-server model.

Installation

dlib Requirements (Windows)

If you are on Mac or Linux you can skip this step...

Build Tools Install GUI

dlib can be challenging to install on Windows. If you are having trouble try looking through this Stack Overflow Issue

dlib Requirements (Ubuntu/Mac)

Refer to this guide for help installing dlib on Mac/Linux:

Install Python Packages

Start by cloning this repository: git clone <repo-url> then cd <repo-directory>

To install the required packages ensure you are using Python 3.7+ and run the command:

  • pip install -r requirements.txt (Windows) or
  • pip3 install -r requirements.txt (Mac/Linux)

Running The Code

Running The Code Locally

Assuming all of the packages are installed correctly you should be able to run the code locally.

  • Change directories into the /tutorial folder: cd tutorial
  • Execute the python script face_rec.py: python face_rec.py or python3 face_rec.py
  • Wait, and press q to quit the window!

If you'd like to change the image the faces are being predicted for simply download a new image and set the path on line 55 from face_rec.py:

print(classify_face("test-image.jpg"))

Running With Client/Server

Running the code from the client/server model is slightly more complicated.

  • Start by running the flask backend server.

  • Change directories to /server: cd server

  • Start the API server: python main.py or python3 main.py (take note of the port it is running on, default is 5000)

  • Now that the server is running you can change to the /client directory: cd ../client

  • If necessary adjust the URL on line 13 of client.py to specify the correct port.

  • From the client directory run client.py: python client.py or python3 client.py

If you'd like to change the image the faces are being predicted for simply download a new image and set the path on line 14 from client.py:

my_img = {'image': open('test-image.jpg', 'rb')} # feel free to change the image path here

Customization

Adding Faces

To add more faces to be detected simply add a labelled .jpg or .png file to the /faces directory. If you were to add an image of Tim (me!) you would simply save the image as tim.png (or tim.jpg).

Deployment

If you're intersted in deploying the flask server have a look at this Repository and this YouTube Video