OpenCV Complete Dummies Guide to Computer Vision with Python

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OpenCV Complete Dummies Guide to Computer Vision with Python Download

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

OpenCV Complete Dummies Guide to Computer Vision with Python Download

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.

 

Session 4: Installing Sublime Text Editor for Ubuntu

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And in the next session, we will set up our IDE, which is Sublime Text, we will install

and configure the Sublime Text inside our Ubuntu Virtual Machine.

 

Session 5: Image Processing Concepts

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In the next session, which is a Theory session, we will have the concepts, the Pixels, Size, Image and all the concepts that are based on Image Processing.

 

Session 6: OpenCV: Read Load and Save Image – Sample Program

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Then in the next session, we will use the OpenCV. We will run a simple example of OpenCV to load an image, then show that image using the Image Viewer feature of OpenCV and we will save that image in a separate format.

 

Session 7: OpenCV Pixel and Area Manipulation

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Then in the next session, we will manipulate the image based on its pixels, that is the finest element available for that image that is the pixel. So we will do our pixel level manipulation in the next session.

 

Session 8 – 10:

OpenCV – Drawing Lines, Rectangles, Simple, Concentric Circles, Random Circles

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In the coming session, we will draw some shapes, some rectangles, circles, shapes like that we will try to draw on top of our image using OpenCV library.

 

Session 11 – 15:

OpenCV Image Transformation – Translation, Rotation, Resizing, Flipping, Cropping

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And then the next session , we will proceed with transformation. Image Transformations

like resizing, flipping, then … changing the position, cropping, rotating.. stuff like that, we will deal

 

Session 16 – 17:

OpenCV Image Arithmetic Operations, Bitwise / Logical Operations

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In the next session and then we will do some arithmetic operations in the image and also we will do some bitwise based operations in the image.

 

Session 18: OpenCV – Image Masking

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Then we have the masking of the image. We will include a Mask, which is our manually created image on top of our natural, normal image. Then we will perform some operations

based on this masking.

 

Session 19: Image Color Channels Merging and Splitting

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And then we will proceed with Image Channels. Basically color image will be having 3 channels, then black and white images will be.. or gray scale images will be having a single channel. So we will merge and split these channels from the given image so that we will have a better understanding about the image channels.

 

Session 20: OpenCV – Other Color Spaces – GRAY, HSV, LAB

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Then we will deal with Color Spaces. The primary color space is RGB, and we will deal with few other kind of  Color Spaces also which is supported by OpenCV.

 

So overall this is a complete package in which you can learn Computer Vision based Technology, Deep Learning based Face Detection,then Face Recognition and Optical Character Recognition.

 

And by the end of this course, we will providing you with a course completion certificate which you can keep with you an mention it in your portfolio so that you will be having more weightage , when you are dealing with jobs based on Computer Vison Technology.

 

So without wasting much time, lets dive in to this magical world. See you soon in the class room. Have a great time. Bye Bye

 

Who this course is for:
  • Beginners who are interested in Computer Vision based technology. Developers who wish to use Computer Vision in their applications
OpenCV Complete Dummies Guide to Computer Vision with Python Download
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Source: https://www.udemy.com/course/opencv-complete-dummies-guide-to-computer-vision-with-python
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