Computer Vision with OpenCV

Computer Vision with OpenCV focuses on the practical application of computer vision principles by utilizing the OpenCV (Open Source Computer Vision) library, a powerful and comprehensive toolkit designed for real-time image and video processing. This area of study equips developers and researchers with the functions and algorithms necessary to perform a vast array of tasks, including reading and manipulating image data, detecting and tracking objects, recognizing faces, and calibrating cameras, thereby abstracting the complex underlying mathematics to accelerate the development of sophisticated applications in fields like robotics, augmented reality, and automated surveillance.

1. Introduction to OpenCV
   1. Overview of OpenCV
      1. Purpose and Applications
      2. Open Source Nature and Community
   2. History and Evolution of OpenCV
      1. Initial Development and Releases
      2. Major Version Milestones
      3. Current Status and Ecosystem
   3. Core Functionality and Modules
      1. Main Modules Overview
         1. core Module
         2. imgproc Module
         3. highgui Module
         4. video Module
         5. features2d Module
         6. calib3d Module
         7. objdetect Module
         8. dnn Module
         9. contrib Module
      2. Supported Languages and Bindings
   4. Setting Up the Development Environment
      1. System Requirements
      2. Installation on Windows
         1. Using Pre-built Binaries
         2. Using pip for Python
         3. Environment Variables Configuration
      3. Installation on macOS
         1. Using Homebrew
         2. Using pip for Python
      4. Installation on Linux
         1. Using Package Managers
         2. Using pip for Python
      5. Python Bindings Configuration
         1. Importing cv2
         2. Checking OpenCV Version
      6. C++ Configuration
         1. Setting Up IDEs
         2. Linking OpenCV Libraries
   5. Building OpenCV from Source
      1. Dependencies and Prerequisites
         1. Required Libraries
         2. Optional Modules and Flags
      2. CMake Configuration
         1. Generating Build Files
         2. Customizing Build Options
      3. Compiling and Installing
         1. Building Process
         2. Verifying Installation