Course Outline
Introduction
Computer Vision Fundamentals
Installing OpenCV with Python Wrappers
Introduction to OpenCV
Working with Media via Python
- Loading Images
- Converting Colour to Grayscale
- Utilising Metadata
Applying Image Theory with Python
- Understanding Images as Multidimensional Arrays
- Comprehending Colour Spaces
- Overview of Pixels and Coordinates
- Accessing Pixels
- Modifying Pixels in Images
- Drawing Lines and Shapes
- Adding Text to Images
- Resizing Images
- Cropping Images
Exploring Common Computer Vision Algorithms and Methods
- Thresholding
- Contour Detection
- Background Subtraction
- Utilising Detectors
Feature Extraction Implementation with Python
- Using Feature Vectors
- Understanding Colour-Mean Feature Theory
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Developing an Application for Image Similarity Detection
Building a Reverse Image Search Engine
Developing an Object Detection Application Using Template Matching
Developing a Face Detection Application Using Haar Cascades
Implementing Object Detection Using Keypoints
Capturing and Processing Video via Webcam
Developing a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- Practical programming experience with Python
Testimonials (2)
Hands on and the practical
Keeren Bala Krishnan - PENGUIN SOLUTIONS (SMART MODULAR)
Course - Computer Vision with Python
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
