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++

Given the code below, which window has an image of a red color channel?
```
split(img,splitImg);
imshow("A", splitImg[0]);
imshow("B", splitImg[1]);
imshow("C", splitImg[2]);
```



Given the code below, which window has an image of a red color channel?
<pre><code>split(img,splitImg);
imshow(&quot;A&quot;, splitImg[0]);
imshow(&quot;B&quot;, splitImg[1]);
imshow(&quot;C&quot;, splitImg[2]);
</code></pre>

The images should have the same color space.

**(Select all that apply.)** What are the necessary conditions of the images that are used for stacking? 

(Select all that apply.) What are the necessary conditions of the images that are used for stacking?

It gives both the intersecting and nonintersecting regions of the images.

It gives only the nonintersecting regions of the images.

It only gives the intersecting regions of the images.

It inverts the black and white pixel regions in the image.

What is the function of the `XOR` operator?

What is the function of the <code>XOR</code> operator?

```
rectangle(rectangleA, Point(0,10), Point(600, 800), Scalar(255,255,255), -1);
bitwise_or(rectangleA, circleA,crescent_shape);
```

```
rectangle(rectangleA, Point(0,10), Point(200, 400), Scalar(255,255,255), -1);
bitwise_and(rectangleA, circleA,crescent_shape);
```

```
rectangle(rectangleA, Point(0,10), Point(200, 400), Scalar(255,255,255), -1);
bitwise_xor(rectangleA, circleA,crescent_shape);
```

```
rectangle(rectangleA, Point(0,10), Point(200, 200), Scalar(255,255,255), -1);
bitwise_and(rectangleA, circleA,crescent_shape);
```

Which line should be part of the script that'll create the mask below?

![Educative Logo](/udata/assessment/GXxEvLLMMJ2/mask.jpg)



Which line should be part of the script that’ll create the mask below?
<img src="/udata/assessment/GXxEvLLMMJ2/mask.jpg" alt="Educative Logo" />

 Quiz yourself on what you've learned in this chapter.

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

Quiz Yourself on Advanced Editing