https://github.com/szilagyipeter99/imageprocessing
This repository contains the examples discussed in the Image processing practices.
https://github.com/szilagyipeter99/imageprocessing
classification image-processing machine-learning matplotlib numpy pillow python segmentation
Last synced: about 1 month ago
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This repository contains the examples discussed in the Image processing practices.
- Host: GitHub
- URL: https://github.com/szilagyipeter99/imageprocessing
- Owner: szilagyipeter99
- Created: 2024-10-25T20:54:29.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-13T09:13:44.000Z (over 1 year ago)
- Last Synced: 2025-03-13T09:26:48.449Z (over 1 year ago)
- Topics: classification, image-processing, machine-learning, matplotlib, numpy, pillow, python, segmentation
- Language: Python
- Homepage: https://szilagyipeti.hu
- Size: 67.1 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Image processing
This repository contains the examples discussed in the Image processing practices. Each folder includes the source code for these exercises. Explanations and figures are available on the course website.
Throughout the examples, we use several Python libraries that extend the functionality of vanilla Python, simplifying calculations and enabling us to import and manipulate images effectively. Later in the semester, we’ll also use the Keras library to build machine learning models.
### The following libraries are used:
- NumPy
- Matplotlib
- PIL (Pillow)
- scikit-image
- scikit-learn
- SciPy
- Keras (+ TensorFlow)
### `Activate.ps1` error on Windows 11:
Open PowerShell and execute the `set-executionpolicy -scope currentuser remotesigned` command
### Recommended folder structure:
```bash
improc-folder
├── resources-folder
│ ├── resource1.jpg
│ ├── resource2.png
│ └── ...
├── code1.py
├── code2.py
└── ...
```
### For your use and inspiration
All materials are designed for Mechatronics Engineering students at the University of Debrecen and were created by Péter Szilágyi. Feel free to share, copy, or modify any part of the materials to your heart's content.