Computer Vision with Python Training Course

  1. Artificial Intelligence (AI) Training
  2. Computer Vision Training
  3. Computer Vision with Python Training Course

Course Code

pythoncomputervision

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

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