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Beginner’s Guide to Learn Computer Vision with Python

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Learn to implement popular CV algorithms with OpenCV python library

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

What you’ll 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.

Course Content

  • Introduction –> 3 lectures • 3min.
  • Popular Computer Vision Techniques –> 8 lectures • 8min.
  • Object Detection, Tracking and Classification –> 6 lectures • 6min.
  • Deep Learning in Computer Vision –> 7 lectures • 9min.
  • Image Recognition –> 5 lectures • 7min.
  • Advanced Techniques – Panorama Creation –> 4 lectures • 5min.
  • Motion Analysis –> 5 lectures • 7min.
  • Realtime Video Processing –> 4 lectures • 4min.

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Requirements

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:

  • 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
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