There are currently no items in your shopping cart.

User Panel

Forgot your password?.

Learning Path: OpenCV: Real-Time Computer Vision with OpenCV

Video Introducing this tutorial

Chapter 1 : OpenCV 3 by Example
The Course Overview
The Human Visual System and Understanding Image Content
What Can You Do with OpenCV?
Installing OpenCV
Basic CMakeConfiguration and Creating a Library
Managing Dependencies
Making the Script More Complex
Images and Matrices
Reading/Writing Images
Reading Videos and Cameras
Other Basic Object Types
Basic Matrix Operations, Data Persistence, and Storage
The OpenCVUser Interface and a Basic GUI
The Graphical User Interface with QT
Adding Slider and Mouse Events to Our Interfaces
Adding Buttons to a User Interface
OpenGL Support
Generating a CMakeScript File
Creating the Graphical User Interface
Drawing a Histogram
Image Color Equalization
Lomography Effect
The CartoonizeEffect
Isolating Objects in a Scene
Creating an Application for AOI
Preprocessing the Input Image
Segmenting Our Input Image
Introducing Machine Learning Concepts
Computer Vision and the Machine Learning Workflow
Automatic Object Inspection Classification Example
Feature Extraction
Understanding Haar Cascades
What Are Integral Images
Overlaying a Facemask in a Live Video
Get Your Sunglasses On
Tracking Your Nose, Mouth, and Ears
Background Subtraction
Frame Differencing
The Mixture of Gaussians Approach
Morphological Image processing
Other Morphological Operators
Tracking Objects of a Specific Color
Building an Interactive Object Tracker
Detecting Points Using the Harris Corner Detector
Shi-Tomasi Corner Detector
Feature-Based Tracking
Introducing Optical Character Recognition
The Preprocessing Step
Installing Tesseract OCR on Your Operating System
Using Tesseract OCR Library

Chapter 2 : Machine Learning with Open CV and Python
The Course Overview
The Basics of Machine Learning
Creating Training Data and Extracting Information
Extracting Features
K-Nearest Neighbors
Logistic Regression
Normal Bayes Classifier
Decision Trees
Support Vector Machines
Artificial Neural Networks
Unsupervised Learning
Deep Learning