Course Outline
Introduction
Foundations of Computer Vision
Setting up OpenCV with Python Wrappers
Getting Started with OpenCV
Handling Media in Python
- Loading Images
- Converting Color to Grayscale
- Utilizing Metadata
Applying Image Theory in Python
- Viewing Images as Multidimensional Arrays
- Understanding 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
Exploring Common Computer Vision Algorithms and Methods
- Thresholding
- Contour Detection
- Background Subtraction
- Using Detectors
Feature Extraction in Python
- Utilizing Feature Vectors
- Understanding Color-mean Features Theory
- 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 Using Haar Cascade
Implementing Object Detection with Keypoints
Capturing and Processing Video via WebCam
Developing 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.
