Duration
14 hours (usually 2 days including breaks)
Requirements
- Programming experience with Python
Overview
Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python.
By the end of this training, participants will be able to:
- Understand the basics of Computer Vision
- Use Python to implement Computer Vision tasks
- Build their own face, object, and motion detection systems
Audience
- Python programmers interested in Computer Vision
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Outline
Introduction
Understanding Computer Vision Basics
Installing OpenCV with Python Wrappers
Introduction to Using OpenCV
Using Media with Python
- Loading Images
- Converting Color to Grayscale
- Using Metadata
Applying Image Theory with Python
- Understanding Images as Multidimensional Arrays
- Understanding the Color Space
- Overview of Pixels and Coordinates
- Accessing Pixels
- Changing Pixels in Images
- Drawing Lines and Shapes
- Applying Text on Images
- Resizing Images
- Cropping Images
Exploring Common Computer Vision Algorithms and Methods
- Thresholding
- Finding Contours
- Background Subtraction
- Using Detectors
Implementing Feature Extraction with Python
- Using Feature Vectors
- Understanding the Color-mean Features Theory
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Implementing an App to Detect Image Similarity
Implementing a Reverse Image Search Engine
Creating an Object Detection App Using Template Matching
Creating a Face Detection App Using Haar Cascade
Implementing an Object Detection App Using Keypoints
Capturing and Processing Video through a WebCam
Creating a Motion Detection System
Troubleshooting
Summary and Conclusion