https://github.com/bes-dev/haar_pytorch

Pytorch implementation of forward and inverse Haar Wavelets 2D
https://github.com/bes-dev/haar_pytorch

computer-vision deeplearning generative-adversarial-network pytorch

Last synced: about 15 hours ago
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Pytorch implementation of forward and inverse Haar Wavelets 2D

• Host: GitHub
• URL: https://github.com/bes-dev/haar_pytorch
• Owner: bes-dev
• License: apache-2.0
• Created: 2021-11-16T18:59:54.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-16T21:24:16.000Z (almost 3 years ago)
• Last Synced: 2024-09-06T07:52:03.667Z (19 days ago)
• Topics: computer-vision, deeplearning, generative-adversarial-network, pytorch
• Language: Python
• Homepage:
• Size: 674 KB
• Stars: 18
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

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

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



  



## Install package

```bash

pip install haar_pytorch

```

## 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)

```