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++

Let’s suppose we want to add the name of a company to a large number of images. We can use the OpenCV library to easily do that.


## Adding text to an image

To add text, we'll use the `putText()` function of the OpenCV library. We have seven parameters inside this function.
- `text` is the text that we want to display on the image.
- `startingPoint` is the starting pixel point of the text.
- `FONT_HERSHEY_COMPLEX` is the font type that we're using to display the text. `HERSHEY_COMPLEX` is the name of the font. We can select other font types from the options in the OpenCV library.
- `fontSize` is the font size.
- `blackColor` gives a black color to the text. This can be changed using a different color code. We'll learn about this in detail in the next chapter.
- `thickness` is the thickness of the text. 


# Adding text to an image

To add text, we'll use the `putText()` function of the OpenCV library. We have seven parameters inside this function.
- `text` is the text that we want to display on the image.
- `startingPoint` is the starting pixel point of the text.
- `FONT_HERSHEY_COMPLEX` is the font type that we're using to display the text. `HERSHEY_COMPLEX` is the name of the font. We can select other font types from the options in the OpenCV library.
- `fontSize` is the font size.
- `blackColor` gives a black color to the text. This can be changed using a different color code. We'll learn about this in detail in the next chapter.
- `thickness` is the thickness of the text. 


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

Adding Text

Adding text to an image