Mastering Computer Vision in Python with OpenCV

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.

Intermediate

27 Lessons

20h

Certificate of Completion

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.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

2 Assessments
6 Quizzes

This course includes

2 Assessments
6 Quizzes

Course Overview

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 vario...Show More

What You'll Learn

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

What You'll Learn

A working knowledge of computer vision using the OpenCV Python library

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Course Content

1.

Introduction to Python OpenCV

Get familiar with Python OpenCV, a crucial library for computer vision and machine learning.
2.

Read Images, Videos, and Webcam

Get started with reading images, videos, and webcam feeds using OpenCV in Python.
3.

Editing Images

Examine image cropping, resizing, color spaces, transformations, blurring, shapes, and text techniques in OpenCV.
4.

Advanced Editings

Enhance your skills in advanced image editing techniques using OpenCV and Python tools.
5.

Detection

Deepen your knowledge of edge, shape, and face detection using OpenCV techniques.
6.

Real-life projects

4 Lessons

Tackle real-life projects like building document scanners and object trackers with OpenCV.
7.

Conclusion

1 Lesson

Practice using your OpenCV skills on real-world projects and further learning opportunities.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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