Metadata-Version: 2.1
Name: haar_pytorch
Version: 2021.11.16.0
Summary: Pytorch implementation of the forward and inverse discrete wavelet transform using Haar Wavelets.
Home-page: https://github.com/bes-dev/haar_pytorch
Author: Sergei Belousov aka BeS
Author-email: sergei.o.belousov@gmail.com
License: Apache 2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE

# haar_pytorch: Pytorch implementation of forward and inverse Haar Wavelets 2D

A simple library that implements differentiable forward and inverse Haar Wavelets.

<p align="center">
  <img src="resources/haar.png"/>
</p>

## Install the latest version

```bash
pip install --upgrade git+https://github.com/bes-dev/haar_pytorch.git
```

## Example
```python
import torch
from haar_pytorch import HaarForward, HaarInverse

haar = HaarForward()
ihaar = HaarInverse()

img = torch.randn(5, 4, 64, 64)
wavelets = haar(img)
img_reconstructed = ihaar(wavelets)
```


