OPENCV: Python for Computer Vision: Face Detection and Image Processing

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