Course Outline
Introduction
Foundations of Computer Vision
Setting Up OpenCV with Python Wrappers
Getting Started with OpenCV
Handling Media with Python
- Loading Images
- Converting Color Images to Grayscale
- Working with Metadata
Applying Image Theory with Python
- Viewing Images as Multidimensional Arrays
- Understanding Color Spaces
- Overview of Pixels and Coordinates
- Accessing Individual Pixels
- Modifying Pixels within Images
- Drawing Lines and Geometric Shapes
- Adding Text Overlays to Images
- Resizing Images
- Cropping Image Regions
Exploring Standard Computer Vision Algorithms and Methods
- Thresholding Techniques
- Contour Detection
- Background Subtraction
- Utilizing Detectors
Feature Extraction with Python
- Working with Feature Vectors
- Understanding Color-Mean Feature Theory
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Developing an Image Similarity Detection App
Building a Reverse Image Search Engine
Creating an Object Detection App via Template Matching
Developing a Face Detection App Using Haar Cascades
Implementing Object Detection Using Keypoints
Video Capture and Processing via Webcam
Building a Motion Detection System
Troubleshooting Common Issues
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.
