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

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

Param Uttarwar
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OpenCV Object Recognition: Harness Deep Learning in OpenCV
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Video Details

ISBN 139781788474368
Course Length2 hours and 13 minutes

Video Description

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.

In the end, you will be able to use object recognition algorithm which will be used by you for practical application.

Style and Approach

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.

Table of Contents

Basic Operations and Algorithms in OpenCV
The Course Overview
How to Work with Images in OpenCV?
Enhancement and Filtering Operations in OpenCV
Saving Images, Accessing Camera
Image Transformations
Computer Vision Algorithms
Object Detection and Recognition Using Features
Working with Object Recognition
Features and Descriptors
Feature Matching and Homography
Building an Application
Deep Learning in OpenCV
Getting Started with Neural Networks
Architecture of a Convolutional Neural Network (CNN)
Starting with Caffe
Implementing Deep Learning Using OpenCV and Caffe
Object Classification Using Deep Learning
Defining Problem Statement
Designing an Algorithm for the Problem
Training the Network Using Labeled Data
Classification Problem
Recognizing Text in an Image
Problem Definition and Gathering Dataset
Modeling Appropriate Algorithm
Moving from Algorithm to Code
Results and Analysis

What You Will Learn

  • Getting started with OpenCV
  • Showing how to attempt your first OpenCV code
  • See the architecture of a convolutional neural network
  • Learn how to enhance and filter an Image
  • Practice use of popular CV algorithms
  • Get started with Caffe
  • Train your the network using labeled data
  • know how to train the network using labeled data
  • See how to Model an appropriate algorithm for your requirement
  • Quickly move from algorithm to code

Authors

Table of Contents

Basic Operations and Algorithms in OpenCV
The Course Overview
How to Work with Images in OpenCV?
Enhancement and Filtering Operations in OpenCV
Saving Images, Accessing Camera
Image Transformations
Computer Vision Algorithms
Object Detection and Recognition Using Features
Working with Object Recognition
Features and Descriptors
Feature Matching and Homography
Building an Application
Deep Learning in OpenCV
Getting Started with Neural Networks
Architecture of a Convolutional Neural Network (CNN)
Starting with Caffe
Implementing Deep Learning Using OpenCV and Caffe
Object Classification Using Deep Learning
Defining Problem Statement
Designing an Algorithm for the Problem
Training the Network Using Labeled Data
Classification Problem
Recognizing Text in an Image
Problem Definition and Gathering Dataset
Modeling Appropriate Algorithm
Moving from Algorithm to Code
Results and Analysis

Video Details

ISBN 139781788474368
Course Length2 hours and 13 minutes
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