OpenCV Complete Dummies Guide to Computer Vision with Python

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OpenCV Complete Dummies Guide to Computer Vision with Python
$20 | Created by Abhilash Nelson | Published 10/2018
Duration: 6.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 3.3 GB
Genre: eLearning | Language: English + Sub | 54 Lectures

Includes all OpenCV Image Processing Features with Simple Examples. Deep Learning Face Detection, Face Recognition & OCR

What you'll learn
Learn all the important functionalities of OpenCV Library. Implement Face Detection, Face Recognition and Optical Character Recognition.

Requirements
A decent configuration computer to run Virtual Box and Linux. Only basic programming knowledge required

Description
Hello and let me welcome you to the magical world of Computer Vision.

Computer Vision is an AI based, that is, Artificial Intelligence based technology that allows computers to understand and label images. Its now used in Convenience stores, Driver-less Car Testing, Security Access Mechanisms, Policing and Investigations Surveillance, Daily Medical Diagnosis monitoring health of crops and live stock and so on and so forth..

Even to analyze data coming from outer space stars, planets etc also we use Computer Vision.

A common example will be face detection and unlocking mechanism that you use in your mobile phone. We use that daily. That is also a big application of Computer Vision. And today, top technology companies like Amazon, Google, Microsoft, Facebook etc are investing millions and millions of Dollars into Computer Vision based research and product development.

So.. Learning and mastering this fantastic world of Computer Vision based technology is surely up-market and it will make you proficient in competing with the swiftly changing Image Processing technology arena.

And this course is designed in such a way that even the very beginner to programming can master the Computer Vision based technology.

Here are the major topics that we are going to cover in this course.

Session 1: Introduction to OpenCV

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We will mainly concentrating on OpenCV, which is the open source Computer Vision library.

Its being used all around the world in providing Computer Vision based Technology. So we will have an introduction to OpenCV, the features, the version, and all the other details, we will be discussing in the first session.

Session 2: Installing Virtual Box and Ubuntu 18

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In the second session, we will be installing a Virtual Box with Ubuntu 18 the latest version of Ubuntu Linux in it, so that we can have our Computer Vision based laboratory setup separately, rather than we need to install all the packages and everything into our computer or laptop that you are using daily. So its better to have a separate Lab setup so that we can play and get our hands dirty with the Computer Vision based programs, examples exercises and all.

Session 3: Installing Libraries and Dependencies

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And in the third session, we will be installing the libraries that are required for Computer Vision Programming. We will be mainly using Python program. Python is actually the language which is mainly used for scientific... these kind of research purpose and all.. So the best combination will be Python - OpenCV and Linux. The best ever combination to run our OpenCV based Computer Vision programs.....more

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