Applied Computer Vision For Beginners

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Chapter 2: Introduction to Images and OpenCV

Lecture 1: Section 1 Introduction

Lecture 2: Set Up

Lecture 3: Image Representation

Lecture 4: Introducing OpenCV – Part 1

Lecture 5: Introducing OpenCV – Part 2

Lecture 6: Capture Image from Webcam – Part 1

Lecture 7: Capture Image from Webcam – Part 2

Lecture 8: Summary

Chapter 3: Advanced Image Manipulation

Lecture 1: Section 2 Introduction

Lecture 2: Cropping Images

Lecture 3: Change Colors and Draw using Array Manipulation

Lecture 4: Draw and Write using Array Manipulation – 1

Lecture 5: Draw and Write using Array Manipulation – 2

Lecture 6: Image Color Components – 1

Lecture 7: Image Color Components – 2

Lecture 8: Resize and Transpose Images

Lecture 9: Summary

Chapter 4: Advanced Image Operations with OpenCV

Lecture 1: Section 3 Introduction

Lecture 2: Region of Interest in Images

Lecture 3: Color Space Conversion in Images – 1

Lecture 4: Color Space Conversion in Images – 2

Lecture 5: Rotating Image – Part 1

Lecture 6: Rotating Image – Part 2

Lecture 7: Linear Transformation- Part 1

Lecture 8: Linear Transformation- Part 2

Lecture 9: Summary

Chapter 5: Image Filters and Edge Detection

Lecture 1: Section 4 Introduction

Lecture 2: Introduction to Filter – Image Convolution

Lecture 3: Apply Filters to Blur and Sharpen Images – 1

Lecture 4: Apply Filters to Blur and Sharpen Images – 2

Lecture 5: High and Low Pass Filters

Lecture 6: Image Filters

Lecture 7: Image Contours and Edge Detection-1

Lecture 8: Image Contours and Edge Detection – 2

Lecture 9: Summary

Chapter 6: Contour Fitting and Face Detection

Lecture 1: Section 5 Introduction

Lecture 2: Fitting Contours on Images – 1

Lecture 3: Fitting Contours on Images – 2

Lecture 4: Irregular Bounding Curves – 1

Lecture 5: Irregular Bounding Curves – 2

Lecture 6: Face Detection in Images – 1

Lecture 7: Face Detection in Images – 2

Lecture 8: Face Detection in Images – 3

Lecture 9: Summary

Chapter 7: Image Classification with Neural Network

Lecture 1: Section 6 Introduction

Lecture 2: Introduction to AI and Deep Learning

Lecture 3: Deep Learning – Birds Eye View

Lecture 4: Deep Learning Phases

Lecture 5: Deep Learning Evolution

Lecture 6: Introduction to Image Classification with Neural Network

Lecture 7: Training Neural Network – 1

Lecture 8: Training Neural Network – 2

Lecture 9: Training Neural Network – 3

Lecture 10: Summary