Image Recognition Project in C++

Project Overview

• This C++ project leverages OpenCV, GLFW, and IMGUI to implement various image recognition features. The project includes the following functionalities:

  1. Face Detection
  2. Eyes Detection
  3. Image Capture
  4. Face Recognition
  5. Facial Emotion Detection (Additional)

Prerequisites

Before running the project, ensure you have the following dependencies installed:

1. C++ Compiler: MinGW

   • Add the MinGW bin directory to the system's environment variables (e.g., C:\MinGW\bin).
   • MINGW: https://sourceforge.net/projects/mingw/

2. Install or Extract OpenCV to the C:\ directory.

   • Add the OpenCV bin directory to the system's environment variables (e.g., C:\opencv\build\x64\vc16\bin).
   • CMake: https://cmake.org/download/

3. Install CMake to generate build files.

   • GLFW: https://www.glfw.org/
   • GLFW is used for window creation.

4. IMGUI GitHub: https://github.com/ocornut/imgui

Setting Up the Project

1. Configure C++ Compiler:

   • Install MinGW and add its bin directory to the system's PATH.

2. Configure OpenCV:

   • Install or extract OpenCV to the C:\ directory.
   • Add the OpenCV bin directory to the system's PATH.

3. Download CMake and CMakeLists Extension for VSCode:

   • Install CMake and the CMake extension in Visual Studio Code for easy project configuration.

Building and Running the Project

- Build the Project: Use CMake to generate build files.

Explore Image Recognition:

The application window will open, showcasing the various image recognition features. Follow the on-screen instructions to capture images, detect faces, and explore additional functionalities.

Happy coding! 🚀