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Mastering Computer Vision in Python with OpenCV

Discover OpenCV to enhance AI in computer vision. Learn image/video processing, editing, and basic machine learning like edge, object, and face detection with real-world projects.

4.4
27 Lessons
20h
Updated 5 months ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • A working knowledge of computer vision using the OpenCV Python library
  • A strong foundation in machine learning
  • The ability to read and edit images, video, and webcam input using Python and OpenCV
  • Experience building real-world computer vision applications using Python
  • A basic understanding of machine learning for object detection and optical analysis using OpenCV

Learning Roadmap

27 Lessons6 Quizzes2 Assessments

2.

Read Images, Videos, and Webcam

Read Images, Videos, and Webcam

Get started with reading images, videos, and webcam feeds using OpenCV in Python.

3.

Editing Images

Editing Images

8 Lessons

8 Lessons

Examine image cropping, resizing, color spaces, transformations, blurring, shapes, and text techniques in OpenCV.

4.

Advanced Editings

Advanced Editings

5 Lessons

5 Lessons

Enhance your skills in advanced image editing techniques using OpenCV and Python tools.

5.

Detection

Detection

4 Lessons

4 Lessons

Deepen your knowledge of edge, shape, and face detection using OpenCV techniques.

6.

Real-life projects

Real-life projects

4 Lessons

4 Lessons

Tackle real-life projects like building document scanners and object trackers with OpenCV.
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Author NameMastering Computer Vision inPython with OpenCV
Developed by MAANG Engineers
ABOUT THIS COURSE
OpenCV is an open-source machine learning library for Python that adds enhanced artificial intelligence capabilities in computer vision and image processing. This course is a comprehensive introduction to building applications using OpenCV, including viewing, identifying, and editing image and video files using Python. You’ll start with an introduction to the library before immediately applying the framework to view images, video, webcam input, and text. You’ll then take your image captures and apply various edits, including decolorization, cropping, resizing, and captioning with layered text and objects. You’ll continue with basic machine learning functions, including edge, object, and face detection. With the basics in hand, you’ll wrap up with real-world projects to build document scanners and object trackers. By the end of this course, you’ll have a working knowledge of OpenCV and machine learning. You’ll be prepared to build functional applications using the principles of computer vision in Python.
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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