Welcome to the personal repository where I keep my notes and class materials for the Computer Vision course with OpenCV-Python at Higher University of San Andres.
This repository contains my notes and class materials for the Computer Vision course, developed by the ADC (Artificial Intelligence & Data Science Community) group at the Higher University of San Andres. The course focuses on providing a deep understanding of Computer Vision and its practical implementation using the OpenCV-Python library.
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Introduction to Computer Vision
- Definition and applications.
- Basic principles and key concepts.
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Getting Started with OpenCV-Python
- Installation and setup.
- Basic image manipulation.
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Image Processing with OpenCV
- Filters and basic operations.
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Object Detection
- Use of pre-trained classifiers.
- Implementation of custom detectors.
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Object Tracking
- Tracking algorithms in OpenCV.
- Practical applications.
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Practical Projects
- Development of practical applications using OpenCV.
- Integration with other artificial intelligence concepts.
Before reviewing these notes, readers are expected to have basic knowledge of Python and fundamental programming concepts.
Feel free to explore the folders and files in this repository to access my notes and class materials. You can also clone this repository to your local machine to access the resources offline.
If you have suggestions, corrections, or improvements for my notes, I'll be happy to receive contributions! You can open an issue or send a pull request. For any questions or comments, contact me via email.
I hope you find my notes helpful!
Elmer Alanoca - Higher University of San Andres