Course Outline
Introduction
Fundamentals of Computer Vision
Installing OpenCV with Python Wrappers
Getting Started with OpenCV
Handling Media with Python
- Loading Image Files
- Converting Color Images to Grayscale
- Utilizing Metadata
Applying Image Theory with Python
- Viewing Images as Multidimensional Arrays
- Comprehending Color Spaces
- Overview of Pixels and Coordinate Systems
- Retrieving Pixel Data
- Modifying Pixels Within Images
- Rendering Lines and Geometric Shapes
- Adding Text to Images
- Resizing Images
- Cropping Image Regions
Examining Standard Computer Vision Algorithms and Techniques
- Thresholding
- Detecting Contours
- Background Subtraction
- Employing Detectors
Feature Extraction Implementation in Python
- Working with Feature Vectors
- Theory of Color-Mean Features
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Building an Application for Image Similarity Detection
Developing a Reverse Image Search Engine
Creating an Object Detection Application via Template Matching
Developing a Face Detection Application using Haar Cascade
Implementing Object Detection using Keypoints
Capturing and Processing Video via Webcam
Constructing a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- Prior programming experience in 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.
