PyTorch library to accelerate super-resolution research
Project description
StudioSR
StudioSR is a PyTorch library providing implementations of training and evaluation of super-resolution models. StudioSR aims to offer an identical playground for modern super-resolution models so that researchers can readily compare and analyze a new idea. (inspired by PyTorch-StudioGan)
Installation
From PyPI
pip install studiosr
From source (Editable)
git clone https://github.com/veritross/studiosr.git
cd studiosr
python3 -m pip install -e .
Documentation
Documentation along with a quick start guide can be found in the docs/ directory.
Quick Example
$ python -m studiosr --image image.png --scale 4 --model swinir
from studiosr.models import SwinIR
from studiosr.utils import imread, imwrite
model = SwinIR.from_pretrained(scale=4).eval()
image = imread("image.png")
upscaled = model.inference(image)
imwrite("upscaled.png", upscaled)
Benchmark
- The evaluation metric is PSNR.
- "DIV2K_mini" is a subset of DIV2K validation data.
- You can check the full benchmark here.
Method | Scale | Set5 | Set14 | BSD100 | Urban100 | Manga109 | DIV2K_mini | Train |
---|---|---|---|---|---|---|---|---|
VDSR | x 4 | 31.860 | 28.424 | 27.431 | 25.729 | 29.973 | 28.331 | DF2K |
EDSR | x 4 | 32.640 | 28.913 | 27.785 | 26.801 | 31.318 | 28.973 | DF2K |
RCAN | x 4 | 32.602 | 28.825 | 27.739 | 26.736 | 31.127 | 28.932 | DIV2K |
HAN | x 4 | 32.567 | 28.864 | 27.771 | 26.767 | 31.364 | 28.977 | DIV2K |
SwinIR | x 4 | 32.894 | 29.066 | 27.912 | 27.448 | 31.947 | 29.233 | DF2K |
HAT | x 4 | 32.960 | 29.206 | 27.974 | 27.953 | 32.409 | 29.357 | DF2K |
Method | Scale | Set5 | Set14 | BSD100 | Urban100 | Manga109 | DIV2K_mini | Train |
---|---|---|---|---|---|---|---|---|
VDSR | x 3 | 34.124 | 30.155 | 28.990 | 27.806 | 33.109 | 30.338 | DF2K |
EDSR | x 3 | 34.733 | 30.633 | 29.315 | 29.015 | 34.491 | 31.015 | DF2K |
RCAN | x 3 | 34.707 | 30.600 | 29.297 | 29.005 | 34.340 | 31.033 | DIV2K |
HAN | x 3 | 34.707 | 30.610 | 29.299 | 29.020 | 34.368 | 31.041 | DIV2K |
SwinIR | x 3 | 34.890 | 30.905 | 29.457 | 29.755 | 35.029 | 31.292 | DF2K |
HAT | x 3 | 34.990 | 31.042 | 29.522 | 30.227 | 35.444 | 31.444 | DF2K |
Method | Scale | Set5 | Set14 | BSD100 | Urban100 | Manga109 | DIV2K_mini | Train |
---|---|---|---|---|---|---|---|---|
VDSR | x 2 | 37.819 | 33.447 | 32.102 | 31.725 | 38.308 | 34.188 | DF2K |
EDSR | x 2 | 38.177 | 34.139 | 32.396 | 33.168 | 39.407 | 34.873 | DF2K |
RCAN | x 2 | 38.167 | 34.080 | 32.376 | 33.160 | 39.310 | 34.916 | DIV2K |
HAN | x 2 | 38.153 | 34.092 | 32.370 | 33.152 | 39.307 | 34.906 | DIV2K |
SwinIR | x 2 | 38.292 | 34.371 | 32.515 | 33.788 | 39.773 | 35.151 | DF2K |
HAT | x 2 | 38.471 | 34.798 | 32.590 | 34.401 | 40.102 | 35.358 | DF2K |
License
StudioSR is an open-source library under the MIT license.
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