SCUNet function for VapourSynth
Project description
SCUNet
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis, based on https://github.com/cszn/SCUNet.
Dependencies
- NumPy
- PyTorch 1.13
- VapourSynth R55+
Installation
pip install -U vsscunet
python -m vsscunet
Usage
from vsscunet import scunet
ret = scunet(clip)
See __init__.py for the description of the parameters.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
vsscunet-1.0.0-py3-none-any.whl
(16.9 kB
view details)
File details
Details for the file vsscunet-1.0.0-py3-none-any.whl.
File metadata
- Download URL: vsscunet-1.0.0-py3-none-any.whl
- Upload date:
- Size: 16.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a48abe531b34eda855cd7b864759afe2284b1d156a3963b2e0b3ad954908e80a |
|
| MD5 | 0b9b8f583715b453c6ab6876c30dafb5 |
|
| BLAKE2b-256 | 7243776a28a94b609e7b969c6b638616f82092fe61ce473c5961e8a34f947890 |
