Practical Image Processing with OpenCV & Python with Project

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Install Python

Lecture 3: Install OpenCV & Requirements

Lecture 4: Facing Any Issue with the Course ? Here is the solution

Lecture 5: Load Display Save Image

Lecture 6: What is Pixel ?

Lecture 7: Converting Color

Lecture 8: Accessing and Manipulate Pixels

Chapter 2: Drawing

Lecture 1: Download the Resources

Lecture 2: Line

Lecture 3: Rectangle

Lecture 4: Cricle

Lecture 5: Abstract Circles

Chapter 3: Working on Videos

Lecture 1: Download the Resources

Lecture 2: Load and Display Video

Lecture 3: Frames Per Seconds (FPS) & Controlling FPS

Lecture 4: Accessing Web Camera

Lecture 5: Stacking Multiple Web Cameras

Chapter 4: Project -1: Face Detection with OpenCV

Lecture 1: Download the Resources

Lecture 2: Download Cascade Classifier

Lecture 3: Load Image and Cascade Classifier using OpenCV

Lecture 4: Apply Viola-Jone Framework (cascade classifier) to Image

Lecture 5: Draw Bounding Box

Lecture 6: Face Detection Function

Chapter 5: Project -2: Real Time Face Detection with OpenCV

Lecture 1: Real Time Face Detection with OpenCV

Chapter 6: Project -3: Face Detection with Deep Neural Network (DNN) OpenCV

Lecture 1: Download the Resources

Lecture 2: Face Detection with DNN Module

Lecture 3: Load SSD ResNet 10 Caffe Model with OpenCV

Lecture 4: Calculate Blob from Image

Lecture 5: Get Face Detections Bounding Boxes from the DNN Model

Lecture 6: Bounding Box : Set the threshold Confidence Score

Lecture 7: Bounding Box: De-Normalize Bounding Box Co-ordinates

Lecture 8: Bounding Box: Draw Rectangle and Put Text (confidence score)

Lecture 9: Create Face Detection Function

Chapter 7: Project-4: Real Time Face Detection with DNN OpenCV

Lecture 1: Real Time Face Detection with DNN and OpenCV

Chapter 8: Image Transformations

Lecture 1: Download the Resources

Lecture 2: Image Translation or Shifting

Lecture 3: Rotating Image

Lecture 4: Resizing Image

Lecture 5: Flipping Image

Lecture 6: Cropping Image

Chapter 9: Arithmetic Operations in Images

Lecture 1: Download the Resources

Lecture 2: Addition in Image

Lecture 3: Subtraction in Image

Lecture 4: Blending Image Idea

Lecture 5: Blending Image – OpenCV Python

Chapter 10: Project – 5: Controlling Brightness of Image with GUI using OpenCV

Lecture 1: Download the Resources

Lecture 2: What we will develop ?

Lecture 3: Controlling Brightness in Image

Chapter 11: Project – 6: Real Time Brightness Control with GUI using OpenCV

Lecture 1: Controlling Brightness in Videos

Chapter 12: Bitwise Operations

Lecture 1: Download the Resources

Lecture 2: Truth Table for AND, OR, NOT, XOR

Lecture 3: Bitwise AND

Lecture 4: Bitwise OR

Lecture 5: Bitwise NOT

Lecture 6: Bitwise XOR

Chapter 13: Masking

Lecture 1: Download the Resources

Lecture 2: Masking Image

Lecture 3: Preparing Mask Image

Lecture 4: Masking Image using "mask"

Lecture 5: Example-2: Mask image with different shape

Lecture 6: Example-3: Masking "circle" shape

Chapter 14: Smoothing Filters

Lecture 1: Download the Resources

Lecture 2: Average Blur & Convolution Process

Lecture 3: OpenCV: Average Blur

Lecture 4: Gaussian Blur

Lecture 5: OpenCV: Gaussian Blur

Lecture 6: Median Blur

Lecture 7: OpenCV: Median Blur for Salt Pepper Noise

Chapter 15: Project-7: Pencil Sketch Image in Real Time

Lecture 1: What will you Develop ?

Lecture 2: Load Image and Flow

Lecture 3: Convert image into grayscale

Lecture 4: Apply Gaussian Blur to Gray Scale Image

Lecture 5: Divide Grayscale image and Gaussian Blur Image

Lecture 6: Adjust Gamma to Division Image

Lecture 7: Pencil Sketch Function

Lecture 8: GUI Control Panel

Lecture 9: Calibrate k-size to odd numbers

Lecture 10: Calibrate Gamma to 0 to 1 Scale

Lecture 11: Pencil Sketch in Real Time

Chapter 16: Project – 8: Automatic Facial Blur

Lecture 1: Project Flow

Lecture 2: Load Image

Lecture 3: Step-1, Face Detection: Get Detections