Course Outline
Introduction
Grasping the Fundamentals of Computer Vision
Setting up OpenCV with Python Bindings
Getting Started with OpenCV
Working with Media in Python
- Loading Images
- Converting Colors to Grayscale
- Utilizing Metadata
Applying Image Theory with Python
- Viewing Images as Multidimensional Arrays
- Comprehending Color Spaces
- Overview of Pixels and Coordinates
- Accessing Individual Pixels
- Modifying Pixel Values in Images
- Drawing Lines and Shapes
- Overlaying Text on Images
- Resizing Images
- Cropping Images
Investigating Common Computer Vision Algorithms and Techniques
- Thresholding
- Detecting Contours
- Background Subtraction
- Employing Detectors
Executing Feature Extraction with Python
- Utilizing Feature Vectors
- Understanding Color-mean Feature Theory
- Extracting Histogram Features
- Extracting 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 using Haar Cascade
Implementing Object Detection Using Keypoints
Capturing and Processing Video via Webcam
Building a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- Proficiency in Python programming
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.
