Course Outline
Introduction
Grasping the Fundamentals of Computer Vision
Installing OpenCV with Python Bindings
Getting Started with OpenCV
Handling Media with Python
- Loading Images
- Transforming Color to Grayscale
- Utilizing Metadata
Applying Image Theory via Python
- Viewing Images as Multidimensional Arrays
- Comprehending Color Spaces
- Pixel and Coordinate Basics
- Pixel Access Methods
- Modifying Image Pixels
- Rendering Lines and Shapes
- Overlaying Text on Images
- Image Resizing Techniques
- Image Cropping Procedures
Examining Common Computer Vision Algorithms and Techniques
- Thresholding
- Contour Detection
- Background Subtraction
- Utilizing Detectors
Executing Feature Extraction with Python
- Employing Feature Vectors
- Theory of Color-mean Features
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Building an Image Similarity Detection App
Developing a Reverse Image Search Engine
Creating an Object Detection App with Template Matching
Building a Face Detection App with Haar Cascades
Implementing Object Detection with Keypoints
Capturing and Processing Video via Webcam
Constructing a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- Prior 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.
