Real time Face Detection using OpenCV-C++

This project implements real-time face detection using OpenCV library in C++ programming language. The project uses pre-trained Haar cascades classifiers to detect faces in real-time video stream captured by the webcam.

Requirements

To run this project, you need the following software and libraries installed on your system:

• OpenCV library version - 3.3.1 vc14
• Visual Studio Code
• Webcam

To set up the project by adding the necessary include directories and library directories

• Include directories: Path to the "include" folder in your OpenCV installation.
• Library directories: Path to the "lib" folder in your OpenCV installation.

Here are the process to create an environment in Visual Studio Code

Preprocessor :

_CRT_SECURE_NO_WARNINGS
_DEBUG
_CONSOLE 

LINKER : (Debug Mode)

opencv_world331d.lib

How to use

1. Clone the repository to your local machine.
2. Install OpenCV on your system.
3. Open a terminal and navigate to the cloned repository directory.
4. Compile the project using the following command:

g++ -std=c++11 -Wall -pedantic -o face_detector face_detector.cpp `pkg-config --cflags --libs opencv`

5. Run the executable using the following command:

./face_detector

6. The application will start and show a live stream from your webcam. It will detect faces in real-time and draw a rectangle around them.

Project Structure

├── face_detector.cpp     # main application source file
├── README.md             # README file

Acknowledgements

We would like to thank the OpenCV community for providing the Haar feature-based cascade classifier and the sample code that inspired this project. Additionally, we want to acknowledge the developers of the C++ programming language and the GCC and Clang compilers for their contributions to the software development community.