Course Outline
Introduction
Foundations of Computer Vision
Setting up OpenCV with Python Wrappers
Getting Started with OpenCV
Handling Media in Python
- Image Loading
- Color-to-Grayscale Conversion
- Working with Metadata
Applying Image Theory in Python
- Conceptualizing Images as Multidimensional Arrays
- Exploring Color Spaces
- Pixels and Coordinates Overview
- Pixel Access Methods
- Modifying Image Pixels
- Drawing Lines and Shapes
- Overlaying Text on Images
- Image Resizing
- Image Cropping
Examining Standard Computer Vision Algorithms and Techniques
- Thresholding
- Contour Detection
- Background Subtraction
- Utilizing Detectors
Feature Extraction Implementation in Python
- Application of Feature Vectors
- Color-mean Features Theory
- Histogram Feature Extraction
- Grayscale Histogram Feature Extraction
- Texture Feature Extraction
Building an Image Similarity Detection Application
Developing a Reverse Image Search Engine
Constructing an Object Detection App via Template Matching
Creating a Face Detection App with Haar Cascade
Implementing Object Detection Using Keypoints
Video Capture and Processing via WebCam
Developing a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- 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.
