This repository contains notebooks and source code for laboratories of two courses: Machine Learning and Machine Vision and Digital Signals and Images on Wrocław University of Science and Technology.
Source code is shared between classes, notebooks and examples are organized in directories. Currently implemented classes are:
| Class | Path | Description |
|---|---|---|
| Interpolation | classes/interpolation |
Function and image interpolation |
| Convolution | classes/convolution |
Convolution examples, edge detection, blur, sharpening etc. |
| Demosaicking | classes/demosaicking |
Color image reconstruction |
| Compression | classes/compression |
Image compression using Fourier and Wavelet transforms |
Nothing extra is required, simply installing the requirements.txt file should be enough:
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt