Course Outline
Introduction
Foundations of Computer Vision
Setting up OpenCV with Python Wrappers
Getting Started with OpenCV
Handling Media with Python
- Loading Images
- Converting Colors to Grayscale
- Utilizing Metadata
Applying Image Theory via Python
- Interpreting Images as Multidimensional Arrays
- Comprehending Color Spaces
- Overview of Pixels and Coordinates
- Accessing Pixel Data
- Modifying Pixels in Images
- Drawing Lines and Shapes
- Adding Text to Images
- Resizing Images
- Cropping Images
Investigating Standard Computer Vision Algorithms and Techniques
- Thresholding
- Contour Detection
- Background Subtraction
- Using Detectors
Feature Extraction Implementation in Python
- Working with Feature Vectors
- Understanding Color-mean Feature Theory
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Building an Image Similarity Detection App
Developing a Reverse Image Search Engine
Developing an Object Detection App via Template Matching
Building a Face Detection App using Haar Cascades
Implementing an Object Detection App using Keypoints
Capturing and Processing Video via Webcam
Building a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- Prior programming experience in Python
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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.
