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Learn OpenCV Python 2022 | Computer Vision Course

Learn OpenCV Python 2022 | Computer Vision Course
Learn OpenCV Python 2022 | Computer Vision Course

Learn OpenCV Python 2022 | Computer Vision Course

Python with OpenCV from Scratch

What you’ll learn

Learn OpenCV Python 2022 | Computer Vision Course

  • Python and OpenCV are used to work with image and video files.
  • Remove noise from photos and correct the camera’s perspective skews.
  • Understand color spaces and how to mask colors using thresholding.
  • Lines, curves, and forms must all be detected.
  • Create at least five real-world projects.

Requirements

  • Python Programming Fundamentals
  • Windows 10/Ubuntu on a PC or Laptop

Description

We’re producing a growing quantity of visual data. Every minute, YouTube users upload over 500 hours of video, and every day, Instagram users make over 100 million posts. Over 5 million cellular-enabled video cameras are already in use, and the number is growing at a rate of 40.7 percent per year. This data creation will only get bigger and bigger when the Metaverse comes out.

All of this information is fueling the existing $10 billion computer vision business, mandating the training of programmers and developers in the abilities needed to deal with image and video data.

That’s all well and good, but where does one begin? There are tens of thousands of courses available. They come in a variety of programming languages and vision libraries. Which one do you think you should pick?

Since it is the fastest-growing language, Python seems to be the natural option for leveraging the capabilities of current computer vision packages. OpenCV is a fantastic place to start since it provides quick access to over 2,500 traditional and cutting-edge computer vision algorithms.

In this course, you’ll take your initial steps toward becoming a computer vision specialist. You’ll learn how to analyze photos and video data using Python and the OpenCV library. The course follows a project-based methodology. We don’t waste time on needless theory; instead, we get right to the point: the code and applications. Over five hours of comprehensive educational information with five or more real-world projects are included.

Who Should Take This Course?

  • Engineers who are working on a vision-related problem statement using machine learning.
  • Professionals who want to learn how computer vision works and how to use it to solve real-world problems.
  • Hobbyists interested in tinkering with DIY computer vision projects
  • Anyone with a basic understanding of Python who wants to learn about computer vision will find

Who this course is for:

  • Create your own computer vision applications.
  • Students who are enrolled in Artificial Intelligence courses.
  • Python programmers who want to work in computer vision are encouraged to apply.
  • Engineers specializing in machine learning who are working on a vision-related topic.
  • Professionals who want to learn how computer vision works and how to use it to solve real-world problems.
  • Hobbyists in artificial intelligence who desire to experiment with computer vision-based DIY projects.
  • Anyone interested in learning computer vision and has a basic understanding of Python.

Learn OpenCV Python 2022 | Computer Vision Course

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