Course Outline
Introduction
Understanding Computer Vision Basics
Installing OpenCV with Python Wrappers
Introduction to Using OpenCV
Using Media with Python
- Loading Images
- Converting Color to Grayscale
- Using Metadata
Applying Image Theory with Python
- Understanding Images as Multidimensional Arrays
- Understanding the Color Space
- Overview of Pixels and Coordinates
- Accessing Pixels
- Changing Pixels in Images
- Drawing Lines and Shapes
- Applying Text on Images
- Resizing Images
- Cropping Images
Exploring Common Computer Vision Algorithms and Methods
- Thresholding
- Finding Contours
- Background Subtraction
- Using Detectors
Implementing Feature Extraction with Python
- Using Feature Vectors
- Understanding the Color-mean Features Theory
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Implementing an App to Detect Image Similarity
Implementing a Reverse Image Search Engine
Creating an Object Detection App Using Template Matching
Creating a Face Detection App Using Haar Cascade
Implementing an Object Detection App Using Keypoints
Capturing and Processing Video through a WebCam
Creating a Motion Detection System
Troubleshooting
Summary and Conclusion
Requirements
- Programming experience with Python
Testimonials (3)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did