OpenCV Python Tutorial For Beginners

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hey guys welcome to the first video on open CV tutorial for beginners using Python in this video I'm going to give you a brief introduction about open CV

but first of all let's see what is computer vision because open CV is an open source computer vision library so computer vision is the way of teaching intelligence to machines and making them

see things just like humans so what happens when a human see an image he will be able to recognize the faces which are there inside the images so in its simplest form computer vision is

what allows computers to see and process visual data just like humans computer vision involves analyzing images to produce useful information so to give you some examples a self-driving

car it can detects the lanes using computer visions or you might have wondered how Facebook detects images when you upload the images of you with your friends it becomes possible by

Facebook's face an image recognition technology so now let's see what is open CV so open CV which stands for open source computer vision is a library of programming functions mainly aimed at

real-time computer vision it is originally developed by Intel and then it was later supported by a developer called Willow Garage and now it is supported and maintained

by ITC's now open CV is available on Mac Windows and various Linux operating systems so we can say that open CV is a cross-platform library now you can work on open CV using C C++ or Python and we

will be using Python to learn open CV now open CV is a open source and free library which is licensed under BSD license and it's said that it is very easy to use an installer that we will

see when we will install open CV on various operating systems now because open CV primarily deals with computer vision that means dealing with mainly images or videos so I wanted to

show you how a digital image is seen by a computer so digital images are typically stored in the form of matrix now if you have heard about PPI or pixel per inch which refers display resolution

that means how many individual pixels are displayed in one inch of digital image so when a computer sees a picture it sees it in the form of pixel matrix now there are two type of digital images

one are called grayscale images and other are called colored images so in grayscale images each pixel represents the intensity of only one shade that means how bright or dark the pixel is in

other word it is said that it has only one channel so on the right hand side you can see a grayscale image and on the left hand side you can see a colored image so in colored images we have three

channels that is our GB which stands for red green blue so grayscale images have one channel and colored images have three channels your standard digital camera have three channels that means

red green blue channels so we will learn more about images and how we can process images using OpenCV in the later videos now there is one more thing which I want to show you is numpy so we are going to

learn OpenCV using Python so when you will install OpenCV library for python on your operating system numpy will be automatically installed with this library so first of all what is numb by

so numpy is a highly optimized library for numerical operations now as I told you digital images are 2d arrays of pixels and numpy library is a general-purpose array processing package

library so it provides a high-performance multi-dimensional array object and tools for working with these arrays which makes the processing of images easier now all the opencv array

structures are converted to and converted from numpy arrays and in addition you can use more convenient indexing system rather than using for loops so when you want to learn OpenCV

using Python you need to have some knowledge about numpy also so if you have some knowledge of Nampa library it's good but don't worry I will teach you step by step so you will not miss

anything so that was a brief introduction about computer vision and OpenCV in the next video I'm going to show you how you can install Python OpenCV library and then we will see how

we can work with this OpenCV library so that's it for this video I will see you in the next video you