Hands-On OpenCV 4 with Python [Video]

Hands-On OpenCV 4 with Python [Video]

Sourav Johar

Dive right into the world of Computer Vision and AI by making five awesome, real-life applications with this hands-on course
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Video Description

The scope of computer vision has been booming in the past few years and it has become a highly sought-after skill. There are tons of real-life problems just waiting to be solved with computer vision. If you want to get your hands dirty with this technology and use it to craft your own, unique solutions, then look no further because this course is made for you!

The course is designed so you'll learn as you develop interesting apps. First you’ll learn to set up your environment, before building five exciting applications. We'll introduce you to all necessary concepts and slowly transition into the field of Artificial Intelligence (AI) and deep learning such as classification and object detection.

This course will not only help you use OpenCV 4 but also apply your computer vision and AI skills to your projects. All you need is a basic working knowledge of Python and you’re good to go!

The code bundle for the video course is available at https://github.com/PacktPublishing/Hands-On-OpenCV-4-with-Python

Style and Approach

The best way to learn something new in programming is to start building as soon as possible and learning the topic as you develop. This is the exact approach we follow in this course. A hands-on, practical approach ensures that the course is never boring and you learn through interactive examples and apps. All the necessary information is conveyed as and when required, with an emphasis on where to apply it in real life.

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What You Will Learn

  • Get a solid introduction and foundation to Computer Vision
  • Build real-time apps that deal with image and video processing
  • Extract information from images and videos
  • Explore the vastness of deep learning with images and videos
  • Build an Optical Character Recognition (OCR) engine from scratch
  • Train your own face recognition system
  • Create your own real-time object classifier

Authors

Video Details

ISBN 139781789618464
Course Length2 hours 31 minutes
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