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++

Sometimes we want to change the position of an image or rotate it while doing graphic design. We might use photo editing tools when we have just a few images to edit. However, if we have thousands of images to edit, it'll take hours to edit them all. So the solution is to use image translation and rotation in the OpenCV library.
Image translation and rotation fall under the class of [affine transformations](https://www.educative.io/answers/what-is-affine-transformation).

## Creating a translation matrix

The **translation** of an image in OpenCV is shifting the image by certain pixels in the horizontal and vertical direction. We need to specify the translation matrix through which the translation of the image is to occur. If we want to shift the image $x$ pixels along the horizontal and $y$ pixels along the vertical, the translation matrix would be: 



Sometimes we want to change the position of an image or rotate it while doing graphic design. We might use photo editing tools when we have just a few images to edit. However, if we have thousands of images to edit, it'll take hours to edit them all. So the solution is to use image translation and rotation in the OpenCV library.
Image translation and rotation fall under the class of [affine transformations](https://www.educative.io/answers/what-is-affine-transformation).

# Creating a translation matrix

The **translation** of an image in OpenCV is shifting the image by certain pixels in the horizontal and vertical direction. We need to specify the translation matrix through which the translation of the image is to occur. If we want to shift the image $x$ pixels along the horizontal and $y$ pixels along the vertical, the translation matrix would be: 



Discover what we can do with image translation and rotation.

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

Image Translation and Rotation

Creating a translation matrix