Course Outline
Introduction
Grasping the Fundamentals of Computer Vision
Setting Up OpenCV with Python Wrappers
Getting Started with OpenCV
Handling Media with Python
- Importing Images
- Converting Color Images to Grayscale
- Utilizing Metadata
Applying Image Theory with Python
- Viewing Images as Multidimensional Arrays
- Understanding Color Spaces
- Overview of Pixels and Coordinates
- Accessing Pixel Data
- Modifying Pixels within Images
- Drawing Lines and Geometric Shapes
- Overlaying Text on Images
- Adjusting Image Size
- Cropping Images
Investigating Common Computer Vision Algorithms and Methods
- Thresholding
- Detecting Contours
- Background Subtraction
- Utilizing Detectors
Feature Extraction Implementation in Python
- Using Feature Vectors
- Understanding Color-mean Features Theory
- 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 App via Template Matching
Building a Face Detection App Using Haar Cascade
Developing an Object Detection App Using Keypoints
Capturing and Processing Video via WebCam
Developing a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- Proficiency in programming 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.
