Course Outline
Introduction
Grasping the Fundamentals of Computer Vision
Setting Up OpenCV with Python Bindings
Getting Started with OpenCV
Handling Media with Python
- Importing Images
- Transforming Color to Grayscale
- Utilizing Metadata
Applying Image Theory via Python
- Interpreting Images as Multidimensional Arrays
- Exploring Color Spaces
- Overview of Pixels and Coordinates
- Pixel Access
- Modifying Image Pixels
- Rendering Lines and Shapes
- Adding Text to Images
- Image Resizing
- Cropping Images
Investigating Standard Computer Vision Algorithms and Techniques
- Thresholding
- Identifying Contours
- Background Subtraction
- Utilizing Detectors
Executing Feature Extraction in Python
- Utilizing Feature Vectors
- Theory of Color-mean Features
- Extracting Histogram Features
- Retrieving Grayscale Histogram Features
- Extracting Texture Features
Developing an Application for Image Similarity Detection
Building a Reverse Image Search Engine
Creating an Object Detection App via Template Matching
Developing a Face Detection App with Haar Cascade
Implementing an Object Detection App Using Keypoints
Capturing and Processing Webcam Video
Developing 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.
