BSRGAN-Pip: Packaged version of the BSRGAN repository
Overview
This repo is a packaged version of the BSRGAN model.
Installation
pip install bsrgan
BSRGAN Usage
from bsrgan import BSRGAN
model = BSRGAN(weights='kadirnar/bsrgan', device='cuda:0')
pred = model.predict(img_path='data/image/test.png')
Citation
@article{li2022yolov6,
title={YOLOv6: A single-stage object detection framework for industrial applications},
author={Li, Chuyi and Li, Lulu and Jiang, Hongliang and Weng, Kaiheng and Geng, Yifei and Li, Liang and Ke, Zaidan and Li, Qingyuan and Cheng, Meng and Nie, Weiqiang and others},
journal={arXiv preprint arXiv:2209.02976},
year={2022}
}
1 maintainer
Metadata
1 maintainer
Release files for bsrgan 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bsrgan-0.1.5.tar.gz | 27.8 kB | Details |
Release files / bsrgan-0.1.5.tar.gz
| Download URL | bsrgan-0.1.5.tar.gz |
|---|---|
| Size | 27.8 kB |
| Tags | Source |
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twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
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