Learn OpenCV with Python from scratch | OpenCV | Udemy

What you’ll learn
Basics of image processing.
Some functions of numpy.
Learn to use OpenCV from scratch.
Make projects to solve real word problem.

Computer Vision enables us to track humans and other object in real time. OpenCV – one of the popular Python libraries – allows us to explore the potential of Computer Vision without getting us caught up in syntax error. We will start from the installation process right up to creating exciting projects such as detecting colors, shapes humans, and even vehicle number plates. So if you are a beginner don’t worry this course is for you. We will skip all the boring theory stuff and focus on the practical implementation. So you can get the computer vision skill set you have always. By the end of the course, you will become familiar with the core principle of OpenCV and apply different techniques to solve real world problems using Computer Vision.

This is a practical approach, so don’t expect too much from the theory, since you are going to learn the basic intuition of Computer Vision using OpenCV in Python. You will learn the basic intuition of different features provided by OpenCV library and then, we will implement and test them using PyCharm IDE.

At the end of this course, you will be able to use your knowledge to create your own projects.

Who this course is for:
Beginner python developers willing to learn computer vision.
High school students who want to pursue further studies in Artificial Intelligence.
Undergraduate students who are studying subjects related to Artificial Intelligence.
Anyone interested in Artificial Intelligence or Computer Vision.

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