Beginner's Guide to Learn Computer Vision with Python

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Learn to implement popular CV algorithms with OpenCV python library

What you will learn

Learn fundamentals of Computer Vision

Understand state of art image and video processing Algorithms in CV

Understand application of Deep Learning Models in the CV

Learn to implement CV algorithms with OpenCV python library

Description

Learn fundamentals of Computer Vision with state of art image and video processing Algorithms.

Course Structure

Introduction:

  • Introduction
  • Real world Applications

Popular Computer Vision Techniques:

  • Image Segmentation
  • Demo – Image Segmentation
  • Edge Detection
  • Demo – Edge Detection
  • Feature Extraction
  • Demo – Feature Extraction
  • Application of CV techniques

Object Detection, Tracking and Classification:

  • Object Detection
  • Object Tracking
  • Image Classification
  • Demo: Image Classification
  • Challenges in CV

Deep Learning for Computer Vision:


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  • What is Deep Learning?
  • Convolutional Neural Network (CNN)
  • Demo – CNN
  • Transfer Learning
  • Benefits of Deep Learning in CV

Image Recognition:

  • Face Detection and Recognition
  • Demo – Face Detection
  • Optical Character Recognition (OCR)
  • Demo – OCR

Advanced Techniques – Panorama Creation:

  • Image Registration
  • Image Stitching
  • Demo – Image Stitching

Motion Analysis:

  • Motion Analysis
  • Video Processing
  • Background Subtraction
  • Demo: Background Subtraction

Realtime Video Processing:

  • Realtime Video Processing
  • Demo – Object Detection
  • Application in Robotics

Requirements

  • Basics knowledge of computer programming
  • Familiar with python programming language and any python IDE (like PyCharm)
  • Windows / Linux / Mac OS X Machine with Internet

Content team

  • Expert: Arunkumar Krishnan
  • Production: Vishnu Sakthivel, Visshwa Balasubramanian

What you will learn?

  • Learn fundamentals of Computer Vision
  • Understand state of art image and video processing Algorithms in CV
  • Understand application of Deep Learning Models in the CV
  • Learn to implement CV algorithms with OpenCV python library
English
language

Content

Introduction

Introduction
Real word Applications
Summary

Popular Computer Vision Techniques

Image Segmentation
Demo – Image Segmentation
Edge Detection
Demo – Edge Detection
Feature Extraction
Demo – Feature Extraction
Application of CV techniques
Summary

Object Detection, Tracking and Classification

Object Detection
Object Tracking
Image Classification
Demo: Image Classification
Challenges in CV
Summary

Deep Learning in Computer Vision

What is Deep Learning?
Convolutional Neural Network (CNN)
Demo – CNN
Transfer Learning
Demo – Transfer Learning
Benefits of Deep Learning in CV
Summary

Image Recognition

Face Detection and Recognition
Demo – Face Detection
Optical Character Recognition (OCR)
Demo – OCR
Summary

Advanced Techniques – Panorama Creation

Image Registration
Image Stitching
Demo – Image Stitching
Summary

Motion Analysis

Motion Analysis
Video Processing
Background Subtraction
Demo: Background Subtraction
Summary

Realtime Video Processing

Realtime Video Processing
Demo – Object Detection
Application in Robotics
Summary
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