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++

We'll read a video as individual frames of images and display them in sequence. The lesson map is given below:

# Capture video
Now, we have to capture the video, and we use the `VideoCapture capture(videoPath)` method of the OpenCV library. We have to write the path of the video inside the parentheses. 
 

std::string videoPath = "/usercode/vid.mp4";
cv::VideoCapture capture(videoPath);

The `videopath` variable stores the complete path of the video. In our case, we're going to read a video named `vid.mp4` that's stored in the `/usercode/Resources/` folder. We can use the location of the video in our computer as the path.
>**Note:** We have to import the header files to declare namespaces beforehand. 

# Read frames from the video

Now, we're going to read the individual frames of the video. First, we declare the variable for the image. Then, we use the `capture.read(img)` function to read the image and store it in the `img` variable.



Learn how OpenCV can be used to read videos frame by frame.

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

Reading Videos

Capture video