What you’ll learn:
Work with images and video files using Python & OpenCV
Manipulate images to remove noise and fix camera perspective skews
Understand color spaces and use thresholding to mask colors
Detect lines, contours, and shapes
Build 5+ real world projects
Requirements:
Basic Python Programming Skills
A PC or Laptop
Windows 10/Ubuntu
Description:
*Price goes up to $39 on the 1st of April 2022. Price increase is due to newer content added to the course every month.
We are generating an ever-increasing amount of visual data. Youtube users upload over 500 hours of video every minute, over 100 million posts are made on Instagram every day. There are already over 5 million video cameras with cellular connectivity, and they’re growing at a rate of 40.7%. With the advent of the Metaverse, this data generation is just going to keep growing exponentially.
All this data provides fuel to rapidly grow the already $10 billion computer vision industry, necessitating the need for programmers and developers to learn skills required to work with image and video data.
That’s cool and all, but where does one start? There are thousands and thousands of courses out there. Ones in different programming languages and different vision libraries. Which one should you choose?
As the fastest-growing language, Python seems like the obvious choice of language to leverage the power of existing computer vision libraries. And with easy access to 2,500-plus classic and state-of-the-art computer vision algorithms, OpenCV is a good place to start.
In this course, you’ll take your first steps towards becoming an expert in computer vision! You’ll learn how to use Python and the OpenCV library to analyze images and video data. The course takes a project-based approach. There’s no unnecessary complicated theory fuzz, we get straight to the point: the code and the applications. There are over 5 hours of rich informative content with 5+ real-world projects.
