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:
- 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