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Learning OpenCV from Scratch with C++

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.

5.0
30 Lessons
6h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • An understanding of computer vision using the OpenCV library
  • The ability to read and edit images, video, and webcam using C++ in OpenCV
  • Hands-on experience building real-world computer vision applications using C++
  • A working knowledge of object detection and optical analysis in machine learning using OpenCV

Learning Roadmap

30 Lessons5 Quizzes2 Assessments

2.

Reading Media

Reading Media

Unpack the core of reading images and videos with OpenCV in C++.

3.

Editing Images

Editing Images

8 Lessons

8 Lessons

Work your way through image editing techniques using OpenCV, including cropping, color spaces, and adding text.

4.

Advanced Editing

Advanced Editing

6 Lessons

6 Lessons

Break down complex ideas for advanced image editing and manipulation in OpenCV.

5.

Detection

Detection

5 Lessons

5 Lessons

Solve problems in edge, contour, face, and corner detection using OpenCV techniques.

6.

Real-Life Projects

Real-Life Projects

4 Lessons

4 Lessons

See how it works to build and solve document scanners and object tracking projects.

8.

Appendix

Appendix

2 Lessons

2 Lessons

Step through installing OpenCV on Windows and macOS with detailed setup instructions.
Certificate of Completion
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Author NameLearning OpenCV from Scratchwith C++
Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR

Nishan Poudel

I am in love with computers, and programming has become my true passion. I enjoy helping programmers learn and explore their passion and talents.

Learn more about Nishan

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