OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV: Computer Vision Projects with Python Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. In this 1-hour long project-based course, you will learn how to do Computer Vision Object Detection from Images and Videos. At the end of the project, you'll have learned how to detect faces, eyes and a combination of them both from images, how to detect people walking and cars moving from videos and finally how to detect a car's plate. Using it in Python is just fantastic as Python allows us to focus on the problem at hand without being bogged down by complex code. I use OpenCV which is the most well supported open-source computer vision library that exists today! Now, let us dive into the open cv module available in python to perform some computer vision tasks. Offered by Coursera Project Network. It has C++, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. The brief theory for each of the concepts along with a link to some helpful resources was provided accordingly. From their website, here’s what OpenCV is: OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. In this 1-hour long project-based course, you will learn how to do Computer Vision on images with OpenCV and Python using Jupyter Notebook. Download for offline reading, highlight, bookmark or take notes while you read OpenCV: Computer Vision Projects with Python. I hope this article helps the viewers to dive into the amazing field of computer vision and explore the various projects offered by the stream. Working with OpenCV and Computer Vision Now that we have a brief understanding of how images work, we can proceed further to learn about the openCV library, and how to utilize this module to perform computer vision tasks. This course runs on Coursera's hands-on project platform called Rhyme. These are the 5 awesome computer vision project ideas across various difficulty levels. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Read this book using Google Play Books app on your PC, android, iOS devices. This learning path proposes to teach the following topics. Welcome to Computer Vision Projects with OpenCV and Python 3.This book is one you might want to check out if you're new to OpenCV, and to computer vision in general. . On Rhyme, you do projects in a hands-on manner in your browser. OpenCV for Python enables us to run computer vision algorithms in real time. The only prerequisite for this book is that you should have a sound knowledge of Python programming. OpenCV: Computer Vision Projects with Python - Ebook written by Joseph Howse, Prateek Joshi, Michael Beyeler. This learning path proposes to teach the following topics. This learning path proposes to teach the following topics. OpenCV for Python enables us to run computer vision algorithms in real time. Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. OpenCV for Python enables us to run computer vision algorithms in real time. Offered by Coursera Project Network. In this chapter, we will be installing all the required tools that we're going to use in the book. 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