super-image
State-of-the-art image super resolution models for PyTorch.
Requirements
super-image requires Python 3.6 or above.
Installation
With pip:
pip install super-image
With pipx:
python3.6 -m pip install --user pipx
pipx install --python python3.6 super-image
Quick Start
from super_image import EdsrModel, ImageLoader
from PIL import Image
import requests
url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
image = Image.open(requests.get(url, stream=True).raw)
model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)
inputs = ImageLoader.load_image(image)
preds = model(inputs)
ImageLoader.save_image(preds, './scaled_2x.png')
ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')
Release files for super-image 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| super-image-0.1.0.tar.gz | 22.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| super_image-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.6 kB
Release files / super-image-0.1.0.tar.gz
| Download URL | super-image-0.1.0.tar.gz |
|---|---|
| Size | 22.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.7 CPython/3.7.9 Windows/10
|
Release files / super_image-0.1.0-py3-none-any.whl
| Download URL | super_image-0.1.0-py3-none-any.whl |
|---|---|
| Size | 28.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.7 CPython/3.7.9 Windows/10
|