Gain insights into OpenCV with C++. Delve into image editing, machine learning functions, and practical applications like object detection. Discover real-world projects to elevate your programming skills.

open_cv_cpp.tar.gz

OpenCV

OpenCV-GUI

OpenCV is extensively used in the business world for various applications, including facial recognition, object detection, and image and video manipulation. 

In this course, you'll learn the basics of OpenCV—an open-source machine learning library. You'll begin with an overview of the OpenCV library before moving on to practical applications like viewing images, videos, and webcam input. Next, you'll learn how to edit images with tools like decolorizing, cropping, resizing, and captioning. You'll dive into machine learning functions like edge detection, contour detection, corner detection, and face detection. Finally, you'll work on practical projects like document scanners and object trackers. 

By the end of this course, you’ll have a solid understanding of OpenCV and machine learning with C++. You'll be able to create functional applications using computer vision principles, preparing you for real-world projects. Taking this course will allow you to take your programming skills to the next level.

Learning OpenCV from Scratch with C++

# Header files and namespaces
**Header files** in C++ are used to declare functions, classes, and variables that are defined in a separate source file. These header files provide a way to separate the interface of a program from its implementation, making it easier to organize and maintain large code bases. We'll use only one header file, `opencv.hpp`, for this lesson. This header file contains all the necessary functions used in OpenCV. 

To include the code, we need to use the `include` keyword and also include the path to the file. In the code below, the header file is located in the `opencv2` folder.

  ```cpp
   #include <opencv2/opencv.hpp>
  ```

**Namespaces** are the declarations that provide scope to variables, functions, etc. In each scope, a name can represent only one variable. There can't be two variables with the same name in the same scope. Using namespaces can solve this problem. We can create two variables or functions that have the same name, in two different namespaces.

In this lesson, we will use two namespaces, `cv` and `std`. 


In this lesson, we'll read an image, display it, and manage the display time. But first, we need to import the header files for reading and handling the media files.

Learn how OpenCV can be used to read images.

Introduction to C++ OpenCV

Reading Media

Editing Images

Reading and Editing Images with OpenCV

Advanced Editing

Detection

Assessment on Advanced Editing and Detection

Real-Life Projects

Conclusion

Appendix

Reading Images

Header files and namespaces