Face Detection And Image Processing In Python: Computer Vision In Python

Introduction
 What is OpenCV?
 What can you do with OpenCV?
 Chapter 1: Setting up OpenCV
 Setting Up Windows
 How to Install Pip
 Setting Up OpenCV on Mac
 Setting Up Linux
 Chapter 2: Reading Images and Video
 How OpenCV Displays Images With Colour Spaces
 Reading Videos in OpenCV
 Chapter 3 - Resizing and Rescaling Frames
 Resizing Images
 Rescaling a Video
 Chapter 4 - Drawing Shapes & Putting Text on Images
 Starting
 Using Colours
 Draw a line
 Draw A Rectangle
 Filling the Rectangle with Colour
 Draw a Circle
 Write Text on Image
 Chapter 5 – Basic Functions You Must Use in OpenCV
 Converting An Image to Greyscale
 Blurring an image
 Creating Edge Cascade
 How to Dilate an Image
 Erosion
 Resize and Crop an Image
 Rotation
 Chapter 6 - Contour Detection
 ADVANCED SECTION
 Chapter 7 - Color Spaces
 BGR to HSV
 BGR to LAB
 BGR to RGB
 HSV to BGR
 Chapter 8 - Color Channels
 Splitting Channels
 Merging Color Channels
 Reconstructing Color Channels
 Chapter 10 – The Magic of Blurring
 Concepts of Blurring in OpenCV
 Averaging
 Blurring or Averaging an Image
 Gaussian Blur
 Median Blur
 Bilateral Blurring
Chapter 11 – Bitwise Operations
 Create A Rectangle and Circle
 Bitwise AND
 Bitwise OR
 Bitwise XOR
 Bitwise NOT
 Chapter 12 - Masking
 Image Masking with OpenCV
 Chapter 13 - Histogram Computation
 Working with CalcHist() Method
 Histogram for Grayscale Images
 Histogram Computation for RGB Images
 Chapter 14 - Thresholding/Binarizing Images
 Simple Thresholding
 Adaptive Thresholding
 Chapter 15 – Gradients and Edge Detection in OpenCV
 How Do We Detect the Edges?
 Laplacian Edge Detector
 Sobel Edge Detection
 Section #3 - Faces:
 Chapter 16 - Face Detection with Haar Cascades
 Face Detection
 Haar Cascade Classifier
 Integral Images
 Detecting Faces
 Chapter 17 - Object Recognition with OpenCV's built-in recognizer
 OpenCV Built-in Face Recognizers
 EigenFaces Face Recognizer
 FisherFaces Face Recognizer
 Local Binary Patterns Histograms (LBPH) Face Recognizer
 Collecting Images
 Preparing training data
 Training The Face Recognizer
 Face Recognition Testing
 Chapter 17 – Capstone - Computer Vision Project: The Simpsons
 Setting Up
 Getting Data
 Training Data
 Features and Labels
 Normalize FeatureSet
 Create Training & Validation Data
 Image Data Generator
 Creating The Model
 Training The Model
 Testing and Predicting
 End Game