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This Project implements a 'Facial Recognition' model in form of a Graphical User Interface (GUI) application built using `Python` where user can select any image with a face and then match the selected image with all the other images

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adysurfer/Match-That-Image

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Match-That-Image

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Project: Match-That-Image

Type: GUI Application using tkinter interface

First Created on: 04 October 2019

Last Modified on Python 3.x.x: 15 May 2020

Last Updated By: Aditya

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A Facial Recognition system is a technology capable of identifying a person from a digital image or a video frame from a video source.

This Project implements a Facial Recognition model in form of a Graphical User Interface (GUI) application built
using Python, Where User can select any image with a face (Example: Celebrity photo) and then match the selected image with all the other images in a directory.

The application will display back the results of all the images whether they match or don't match with the image that User has selected.



System Flow:

1

2



Project Structure:

Folders:

  • icons&images
  • images_compared
  • images_to_match

Main Application:

  • GUI.py

Others:

  • requirements.txt
  • README.md

Toolkit/ Library Used:

  • Face Recognition - Recognize faces from Python or from the command Line
  • Python Imaging Library, dlib toolkit
  • CMake and Microsoft Visual Studio build tools
  • Tkinter: A python interface used to make GUI applications in Python

Steps for Execution:

  • Download and Install cmake & Microsoft visual studio build tools
  • git clone https://github.com/adysurfer/Match-That-Image.git
  • Install packages from requirements.txt
  • Run GUI.py

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This Project implements a 'Facial Recognition' model in form of a Graphical User Interface (GUI) application built using `Python` where user can select any image with a face and then match the selected image with all the other images

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