Book Image

Object Detection and Recognition Using Deep Learning in OpenCV [Video]

By : Param Uttarwar
Book Image

Object Detection and Recognition Using Deep Learning in OpenCV [Video]

By: Param Uttarwar

Overview of this book

<p><span id="description" class="sugar_field">This course teaches effective object recognition and its implementation with the powerful OpenCV libraries. You will learn how to enhance your OpenCV skills with deep learning. You will explore and master OpenCV for Object Recognition/Classification. The course explains all the necessary theory and concepts of computer vision, image processing, and machine learning. You also learn the practical application of OpenCV libraries. Its capabilities and functionality are shown along with a tutorial on how to set up a machine such that it’s able to use OpenCV in codes. You will start by seeing how to work with images in OpenCV, enhancement and filtering in OpenCV. You will then move on to building an application which is capable of object recognition and performing homography. You will then move on to object classification and recognizing text in an image.</span></p> <p><span id="description" class="sugar_field">In the end, you will be able to use object recognition algorithm which will be used by you for practical application.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">This course will help you practice deep learning principles and algorithms for detecting and decoding images using OpenCV, by following step by step easy to understand instructions.</span></span></p>
Table of Contents (5 chapters)
Chapter 2
Object Detection and Recognition Using Features
Content Locked
Section 1
Working with Object Recognition
First, we create a problem statement for which we will implement our algorithm. Devise a block diagram/flowchart for the algorithm. - Problem definition - Find image data to work upon - Block level diagram