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 2 months 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 (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-07T16:20:39.000Z (2 months ago)
• Last Synced: 2024-11-07T17:27:15.187Z (2 months ago)
• Topics: classification, image-processing, machine-learning, matplotlib, numpy, pillow, python, segmentation
• Language: Python
• Homepage: https://szilagyipeti.hu
• Size: 61.5 MB
• Stars: 0
• Watchers: 2
• 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)

- Keras (+ TensorFlow)

### Recommended folder structure:

Python files can be stored in folders grouped by lecture topics, as organized in this repository. However, for beginners, it is often recommended to place all example code files directly in the root of the project. This way, the project structure is simplified, with only a single folder dedicated to all resources (images, sequences, etc.), making navigation easier.

```bash

improc-folder

├── resources-folder

│   ├── resource1.jpg

│   ├── resource2.png

│   └── ...

├── code1.py

├── code2.py

└── ...

```

### Course website: [HU](https://szilagyipeti.hu/imgproc/content.html) | [EN](https://szilagyipeti.hu/imgproc/content-en.html)

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.