AI-powered learning
Save this course
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
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.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
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.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
Built for 10x Developers
No Passive Learning
Learn by building with project-based lessons and in-browser code editor


Personalized Roadmaps
The platform adapts to your strengths & skills gaps as you go


Future-proof Your Career
Get hands-on with in-demand skills


AI Code Mentor
Write better code with AI feedback, smart debugging, and "Ask AI"




MAANG+ Interview Prep
AI Mock Interviews simulate every technical loop at top companies


Free Resources