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 look at the solution for creating the document scanner.

## Get image edges
We change the image to grayscale and then make it blurry. This helps us get the edges properly. To get the edges, we use the  `Canny()` function of the OpenCV library:


Let's look at the solution for creating the document scanner.

# Get image edges
We change the image to grayscale and then make it blurry. This helps us get the edges properly. To get the edges, we use the  `Canny()` function of the OpenCV library:


Review the steps involved in creating a document scanner

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

Solution: Document Scanner

Get image edges