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OpenCV Computer Vision Examples with Python: A Complete Guide for Dummies [Video]

OpenCV Computer Vision Examples with Python: A Complete Guide for Dummies: Includes all OpenCV Image Processing Features with Simple Examples. Deep Learning Face Detection, Face Recognition & OCR [Video]

By Abhilash Nelson

$44.99

Video Mar 2019 5 hours 0 minutes 1st Edition

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Product Details

Publication date : Mar 28, 2019

Length 5 hours 0 minutes

Edition : 1st Edition

Language : English

ISBN-13 : 9781838820817

Category :

Languages :

Python (Intermediate)

Concepts :

Computer Vision

Tools :

OpenCV (Intermediate)

View table of contents

Key benefits

• You will learn to build a face detection and unlocking mechanism.
• You will learn to build a Digital Makeup and Face Distance Calculation.
• You will learn about Optical Character Recognition and Real-time motion detector

Description

Computer Vision is an AI based, that is, Artificial Intelligence-based technology that allows computers to understand and label images. So, learning and mastering this fantastic world of Computer Vision-based technology is surely up-market. 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. 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 provide you with a course completion certificate which you can keep with you and mention it in your portfolio so that you will be having more weight when you are dealing with jobs based on Computer Vision Technology. So without wasting much time, let’s dive into this magical world. See you soon in the class room. Have a great time.

What you will learn

• Learn all the important functionalities of OpenCV Library • Implement Face Detection, Face Recognition and Optical Character Recognition

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Mar 28, 2019

Length 5 hours 0 minutes

Edition : 1st Edition

Language : English

ISBN-13 : 9781838820817

Category :

Languages :

Python (Intermediate)

Concepts :

Computer Vision

Tools :

OpenCV (Intermediate)

Table of Contents

41 Chapters

Course Intro and Table of Contents

Course Intro and Table of Contents

Introduction to OpenCV

Introduction to OpenCV

Installing Virtual Box and Ubuntu 18

Installing Virtual Box and Ubuntu 18 - Part 1

Installing Virtual Box and Ubuntu 18 - Part 2

Installing Libraries and Dependencies

Installing Libraries and Dependencies - Part 1

Installing Libraries and Dependencies - Part 2

Installing Sublime Text Editor for Ubuntu

Installing Sublime Text Editor for Ubuntu

Image Processing Concepts

Image Processing Concepts

OpenCV: Read Load and Save Image - Sample Program

OpenCV: Read Load and Save Image - Sample Program - Part 1

OpenCV: Read Load and Save Image - Sample Program - Part 2

OpenCV Pixel and Area Manipulation

OpenCV Pixel and Area Manipulation Part 1

OpenCV Pixel and Area Manipulation Part 2

OpenCV - Drawing Lines and Rectangles

OpenCV - Drawing Lines and Rectangles

OpenCV - Drawing Circles - Simple and Concentric Circles

OpenCV Drawing Circles - Simple and Concentric Circles

OpenCV - Drawing Random Circles

OpenCV - Drawing Random Circles

OpenCV Image Transformation - Translation

OpenCV Image Transformation - Translation - Part 1

OpenCV Image Transformation - Translation - Part 2

OpenCV Image Transformation - Rotation

OpenCV Image Transformation - Rotation

OpenCV Image Transformation - Resizing

OpenCV Image Transformation - Resizing - Part 1

OpenCV Image Transformation - Resizing - Part 2

OpenCV Image Transformation - Flipping

OpenCV Image Transformation - Flipping

OpenCV Image Transformation - Cropping

OpenCV Image Transformation - Cropping

OpenCV Image Arithmetic Operations

OpenCV Image Arithmetic Operations - Part 1

OpenCV Image Arithmetic Operations - Part 2

OpenCV Image Bitwise / Logical Operations

OpenCV Image Bitwise / Logical Operations - Part 1

OpenCV Image Bitwise / Logical Operations - Part 2

OpenCV - Image Masking

OpenCV - Image Masking - Part 1

OpenCV - Image Masking - Part 2

Image Color Channels Merging and Splitting

OpenCV Image Color Channels Merging and Splitting Part 1

OpenCV Image Color Channels Merging and Splitting Part 2

OpenCV - Other Color Spaces - GRAY, HSV, LAB

OpenCV - Other Color Spaces - GRAY, HSV, LAB

OpenCV - Gray scale Histograms

OpenCV - Gray scale Histograms - Part 1

OpenCV - Gray scale Histograms - Part 2

OpenCV - Color Histograms

OpenCV - Color Histograms

OpenCV - Histogram Equalization

OpenCV - Histogram Equalization

OpenCV - Image Blurring

OpenCV - Image Blurring - Part 1

OpenCV - Image Blurring - Part 2

OpenCV - Image Threshold

OpenCV - Image Blurring - Part 1

OpenCV - Image Blurring - Part 2

OpenCV - Image Blurring - Part 3

OpenCV - Image Gradient Detection

OpenCV - Image Gradient Detection - Part 1

OpenCV - Image Gradient Detection - Part 2

OpenCV- Canny Edge Detection

OpenCV- Canny Edge Detection

OpenCV - Image Contours

OpenCV - Image Contours - Part 1

OpenCV - Image Contours - Part 2

Face Detection using OpenCV

Face Detection using OpenCV - Part 1

Face Detection using OpenCV - Part 2

Face Detection using OpenCV - Part 3

Face Recognition using Machine Learning

Face Recognition using Machine Learning - Part 1

Face Recognition using Machine Learning - Part 2

Face Recognition using Machine Learning - Part 3

Digital Face Makeup

Digital Face Makeup - Part 1

Digital Face Makeup - Part 2

Face Distance Value of Face Recognition

Face Distance Value of Face Recognition

Real Time Face Recognition

Face Recognition in Real Time

OpenCV - Real time Facial Expression Recognition

Real time Facial Expression Recognition - Part 1

Real time Facial Expression Recognition - Part 2

A Basic Motion Detection System using Open CV

A Basic Motion Detection System using Open CV

Optical Character Recognition - OCR using PyTesseract Library

Optical Character Recognition - OCR - Part 1

Optical Character Recognition - OCR - Part 2

Optical Character Recognition - OCR - Part 3

System Preparation - Object Detection using Pre-Trained Models - Introduction

Object Detection using Pre-Trained Models - System Preparation & Introduction

SSD MobileNet - Object Detection using Pre-Trained Models

Object Detection using Pre-Trained Models - SSD MobileNet - Part 1

Object Detection using Pre-Trained Models - SSD MobileNet - Part 2

Mask R-CNN - Object Detection using Pre-Trained Models

Mask R-CNN - Object Detection using Pre-Trained Models - Part 1

Mask R-CNN - Object Detection using Pre-Trained Models - Part 2

Mask R-CNN - Object Detection using Pre-Trained Models - Part 3

YOLO - Object Detection using Pre-Trained Models

YOLO - Object Detection using Pre-Trained Models

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Customer reviews

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Rating distribution

5

(2 Ratings)

5 star 100%

4 star 0%

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2 star 0%

1 star 0%

Jeff Cooper May 26, 2020

5

Excellent step-by-step guide. The presenter knows how much to put in each video and he describes things very clearly. This is more image processing centric but you'll need this information processing videos frame-by-frame.

Feefo Verified review

N/A Dec 3, 2019

5

All good

Feefo Verified review

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Authors (1)

Mr. Abhilash Nelson

Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.

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