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Computer Vision Theory and Projects in Python for Beginners

Become an ace of Computer Vision and build Computer Vision for apps using Python, OpenCV, TensorFlow, and others

AI Sciences

Created by AI Sciences

Explore the fundamentals of computer vision and learn how to build practical applications using Python, OpenCV, and TensorFlow. Get hands-on with real-world projects and gain the skills needed to start working with digital images and video data.

Packt | Sep 2021 | 1609 min

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LevelBeginner
CategoriesData Science, Advanced Computer Vision and Image Recognition, OpenCV, Python

What You Will Learn

You will start by learning the basics of computer vision and gradually move to hands-on coding exercises. Each concept is paired with practical activities and quizzes to reinforce your understanding. By working on real projects, you will develop both theoretical knowledge and practical skills that you can apply immediately.

Key Features

  • Understand core computer vision concepts and their real-world applications
  • Apply image processing techniques using Python and popular libraries
  • Build and test projects like real-time change detection and smart DVRs

Target Audience

Ideal for beginners, data scientists, and anyone interested in computer vision with little or no prior experience. If you want to learn how to process images, analyze video data, and build real-world applications using Python, this course will help you get started and grow your skills.

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