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++

While editing, we may want to join images to display more of the images at once, perhaps to make them more visually appealing. We'll be doing precisely that in this lesson.

## Joining images horizontally
To join images horizontally, we use the `hconcat()` method of the OpenCV library. The parameters of this function are all the images we want to stack horizontally, and we have to add the variable of the image that'll store the final joined image.
```
hconcat(img1,img2,finalImg);
```
There are two different images, `img1` and `img2`, that'll be joined horizontally and stored in the variable `finalImg`. 

> **Note:** All the images to be stacked should be the same size.






While editing, we may want to join images to display more of the images at once, perhaps to make them more visually appealing. We'll be doing precisely that in this lesson.

# Joining images horizontally
To join images horizontally, we use the `hconcat()` method of the OpenCV library. The parameters of this function are all the images we want to stack horizontally, and we have to add the variable of the image that'll store the final joined image.
```
hconcat(img1,img2,finalImg);
```
There are two different images, `img1` and `img2`, that'll be joined horizontally and stored in the variable `finalImg`. 

> **Note:** All the images to be stacked should be the same size.






Learn how to join images horizontally and vertically.

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

Join Images

Joining images horizontally