Download Instant OpenCV Starter by Jayneil Dalal, Sohil Patel PDF

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By Jayneil Dalal, Sohil Patel

Get began with OpenCV utilizing functional, hands-on initiatives with this e-book and ebook

Overview

  • Learn anything new directly! a quick, quick, targeted advisor supplying fast results
  • Step by way of step deploy of OpenCV in home windows and Linux
  • Examples and code in line with real-life implementation of OpenCV to assist the reader comprehend the significance of this technology
  • Codes and algorithms with precise explanations

In Detail

In the electronic age of picture and video sharing, the necessity for desktop imaginative and prescient is at an all time excessive. have a look round you and you'll see that laptop imaginative and prescient is being applied all over. it truly is getting used in cars, social networking websites, and in quite a few different fields equivalent to clinical technological know-how, robotics, safeguard, domestic automation, and so forth. this can be the place OpenCV comes into the image. OpenCV is the world's preferred open resource desktop imaginative and prescient library with greater than 500 optimized algorithms for photograph and video analysis.

Instant OpenCV Starter is a realistic, hands-on advisor that can assist you comprehend the significance of computing device imaginative and prescient in genuine lifestyles in addition to many of the assorted features of the OpenCV library through small programming initiatives with uncomplicated, designated explanations.

This e-book is helping rookies fast study OpenCV to enforce quite a few computing device imaginative and prescient comparable initiatives. you'll first comprehend the significance and functions of laptop imaginative and prescient in genuine existence. After that, you'll tips on how to organize OpenCV, via a chain of sensible programming tasks to get you conversant in a variety of services within the OpenCV library.

The booklet also will concentrate on the use of OpenCV in a number of striking initiatives akin to detecting obstacles in a given photo, hiding a picture in a unique photograph to transmit mystery details (known as picture steganography) in addition to do real-time video processing.

Instant OpenCV Starter will train you ways to put in and use the OpenCV library for numerous uncomplicated desktop imaginative and prescient similar tasks.

What you'll study from this book

  • Discover the fundamentals of OpenCV
  • Install OpenCV in home windows and Linux
  • Learn trivial OpenCV projects reminiscent of studying, showing, cropping, and saving images
  • Understand pixel manipulation
  • Apply picture conversions
  • Explore photo and video processing
  • Handle troubleshooting

Approach

Get to grips with a brand new know-how, comprehend what it really is and what it may well do for you, after which get to paintings with crucial positive aspects and tasks.A useful, speedy, and hands-on consultant for Python builders and hobbyists who are looking to start with laptop imaginative and prescient with OpenCV.

Who this e-book is written for

This e-book is superb for builders, hobbyists, and scholars new to machine imaginative and prescient who're seeking to get a very good grounding in tips to use the OpenCV library. It’s assumed that you'll have a few easy adventure in C/C++ programming.

Show description

Read Online or Download Instant OpenCV Starter PDF

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Additional resources for Instant OpenCV Starter

Example text

Here, the numbers [0], [1], [2] are used to access the blue, green, and red components respectively. uchar averageValue = static_cast(tSum/3); We now calculate the average value of the pixels. at(j,i)[2]= 255; // Red component of the pixel } Here, we will check whether the average value of each pixel is greater than the threshold value or not. If a particular pixel value satisfies the preset logic, its value is greater than the threshold value, so we will change the value of all the components of that pixel to white (255).

Here, the numbers [0], [1], [2] are used to access the blue, green, and red components respectively. uchar averageValue = static_cast(tSum/3); We now calculate the average value of the pixels. at(j,i)[2]= 255; // Red component of the pixel } Here, we will check whether the average value of each pixel is greater than the threshold value or not. If a particular pixel value satisfies the preset logic, its value is greater than the threshold value, so we will change the value of all the components of that pixel to white (255).

It is the combination of the values of these three individual components which decides the resulting color in the image at that pixel. Each of these three components has values ranging from 0 to 255, where 0 would represent black and 255 would represent white. So, we have to take into consideration the values of all three components. Our program in this case would first obtain the value of the three components, compute the average value (let us call it the average pixel value), and then use this value to compare with the predetermined threshold value.

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