Introduction

A Python application that detects face from live webcam video. It has a GUI coded with Tkinter, it fetches live webcam video, displays that video in left window of GUI and displays a face detected on right window of GUI.

If you more curios about how it runs in real time then this video might help.

Motivation

My motivation for coding this project was that I was curios to learn and try them.

Files

Currently there are 2 code files.

GUI: Contains all the code related to GUI.
Webcam-images-capture: Contains code for webcam feed and face detection.

Note: These files are in two formats, one is Jupyter Notebook (.ipynb) format and other one is Python (.py) format. Python format is just an exported version of Jupyter Notebook, so basically they both are exactly same code wise. I used Jupyter Notebook for within code documentation purposes.

Both of these are currently independent and can be run independently.

Dependencies

Python 3.5 or greater.
OpenCV library for image processing.
- pip3 install opencv
Tkinter library for GUI
- pip3 install tkinter
Queuelib for background thread and main thread communication.
- pip3 install queuelib
Python Imaging Library (PIL) for Tkinter friendly image processing.
- pip3 install pillow
Matplotlib for plotting purposes.
- pip3 install matplotlib
(Optional) Jupyter Notebook, if you want to run .ipynb files like I do then you have to install Jupyter Notebook.

Getting Started Guide

Remember, currently both files are indepedent so they can be run independently. GUI is just a GUI (although fully dynamic and ready to be connected) running on a test image and webcam feed+face detection code runs separately. My next goal is to combine both codes to make GUI work with real camera feed.
Make sure all of the above must to have dependencies are met.
Follow the directory structure I have used in repo. For example data folder should be there in directory where code is placed.

Running Python (.py) Files

For running GUI.py file
- python3 GUI.py
For running python3 Webcam-images-capture.py
- python3 Webcam-images-capture.py

Running Jupyter Notebook (.ipynb) Files

Type jupyter notebook GUI.ipynb and then a page will appear in your default browser. From that page's menu select Cell and then select Run all.
Same for file Webcam-images-capture.ipynb.

Contributing

Fork it (https://github.com/informramiz/OpenCV-with-tkinter-and-threading/fork)
Create your feature branch (git checkout -b feature/fooBar)
Commit your changes (git commit -am 'Add some fooBar')
Push to the branch (git push origin feature/fooBar)
Create a new Pull Request

alex69000302/OpenCV-with-tkinter-and-threading