Course Outline

Introduction

Understanding Computer Vision Basics

Installing OpenCV with Python Wrappers

Introduction to Using OpenCV

Using Media with Python

  • Loading Images
  • Converting Color to Grayscale
  • Using Metadata

Applying Image Theory with Python

  • Understanding Images as Multidimensional Arrays
  • Understanding the Color Space
  • Overview of Pixels and Coordinates
  • Accessing Pixels
  • Changing Pixels in Images
  • Drawing Lines and Shapes
  • Applying Text on Images
  • Resizing Images
  • Cropping Images

Exploring Common Computer Vision Algorithms and Methods

  • Thresholding
  • Finding Contours
  • Background Subtraction
  • Using Detectors

Implementing Feature Extraction with Python

  • Using Feature Vectors
  • Understanding the Color-mean Features Theory
  • Extracting Histogram Features
  • Extracting Grayscale Histogram Features
  • Extracting Texture Features

Implementing an App to Detect Image Similarity

Implementing a Reverse Image Search Engine

Creating an Object Detection App Using Template Matching

Creating a Face Detection App Using Haar Cascade

Implementing an Object Detection App Using Keypoints

Capturing and Processing Video through a WebCam

Creating a Motion Detection System

Troubleshooting

Summary and Conclusion

Requirements

  • Programming experience with Python
 14 Hours

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