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

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

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

ISBN 13 9781838820817
Course Length 8 hours 50 minutes

Table of Contents

Course Intro and Table of Contents
Introduction to OpenCV
Installing Sublime Text Editor for Ubuntu
Image Processing Concepts
OpenCV - Drawing Lines and Rectangles
OpenCV - Drawing Circles - Simple and Concentric Circles
OpenCV - Drawing Random Circles
OpenCV Image Transformation - Rotation
OpenCV Image Transformation - Flipping
OpenCV Image Transformation - Cropping
OpenCV - Other Color Spaces - GRAY, HSV, LAB
OpenCV - Color Histograms
OpenCV - Histogram Equalization
OpenCV- Canny Edge Detection
Face Distance Value of Face Recognition
Real Time Face Recognition
A Basic Motion Detection System using Open CV
System Preparation - Object Detection using Pre-Trained Models - Introduction
YOLO - Object Detection using Pre-Trained Models

Video 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.

Style and Approach

This course is designed in such a way that each section will cover new scenarios and a step by step approach to help you learn and understand the concept.

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What You Will Learn

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

Authors

Table of Contents

Course Intro and Table of Contents
Introduction to OpenCV
Installing Sublime Text Editor for Ubuntu
Image Processing Concepts
OpenCV - Drawing Lines and Rectangles
OpenCV - Drawing Circles - Simple and Concentric Circles
OpenCV - Drawing Random Circles
OpenCV Image Transformation - Rotation
OpenCV Image Transformation - Flipping
OpenCV Image Transformation - Cropping
OpenCV - Other Color Spaces - GRAY, HSV, LAB
OpenCV - Color Histograms
OpenCV - Histogram Equalization
OpenCV- Canny Edge Detection
Face Distance Value of Face Recognition
Real Time Face Recognition
A Basic Motion Detection System using Open CV
System Preparation - Object Detection using Pre-Trained Models - Introduction
YOLO - Object Detection using Pre-Trained Models

Video Details

ISBN 139781838820817
Course Length8 hours 50 minutes
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