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Computer Vision Theory and Projects in Python for Beginners
on-demand course

Computer Vision Theory and Projects in Python for Beginners

with AI Sciences
September 2021
Beginner to intermediate
26h 51m
English
Packt Publishing
Closed Captioning available in English

Overview

In this 26 hr course, you'll uncover the essentials of Computer Vision, from fundamental image concepts to applied techniques like edge detection, shape analysis, and object tracking. Designed for Python enthusiasts, this course integrates theory and programming to deliver a deep, hands-on understanding.

What I will be able to do after this course

  • Gain a solid understanding of how images are represented and manipulated digitally.
  • Apply Computer Vision techniques like edge detection and object tracking in Python.
  • Understand and implement image filtering, geometric transformations, and more.
  • Complete real-world projects such as live CCTV enhancement and analysis.
  • Build autonomous applications employing advanced frameworks like OpenCV and TensorFlow.

Course Instructor(s)

AI Sciences consists of a proficient team of educators and developers focusing on artificial intelligence and related fields. With their expertise in Computer Vision and applied Python programming, the team ensures your learning journey is comprehensive and skill-building. Their courses aim to blend theoretical insights with practical applications.

Who is it for?

This course is perfect for data scientists, beginners, and Python developers keen to explore Computer Vision. It's suitable for those starting with zero knowledge or people looking to enhance their coding portfolio with practical, impactful projects.

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Publisher Resources

ISBN: 9781801815949