HomeCoursesMastering Computer Vision in Python with OpenCV

Intermediate

20h

Updated 1 month ago

Mastering Computer Vision in Python with OpenCV
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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.
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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.
OpenCV is an open-source machine learning library for Python that adds enhanced artificial intelligence capabilities in computer...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
A working knowledge of computer vision using the OpenCV Python library

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Content

1.

Introduction to Python OpenCV

1 Lessons

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

2.

Read Images, Videos, and Webcam

4 Lessons

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

3.

Editing Images

8 Lessons

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

4.

Advanced Editings

5 Lessons

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

5.

Detection

4 Lessons

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 Lessons

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