Python库 | super-image-0.1.0.tar.gz

<h1 align="center">super-image</h1> <p align="center"> <a href="https://eugenesiow.github.io/super-image/"> <img alt="documentation" src="https://img.shields.io/badge/docs-mkdocs%20material-blue.svg?style=flat"> </a> <a href="https://pypi.org/project/super-image/"> <img alt="pypi version" src="https://img.shields.io/pypi/v/super-image.svg"> </a> </p> <h3 align="center"> <p>State-of-the-art image super resolution models for PyTorch.</p> </h3> ## Requirements super-image requires Python 3.6 or above. ## Installation With `pip`: ```bash pip install super-image ``` With [`pipx`](https://github.com/pipxproject/pipx): ```bash python3.6 -m pip install --user pipx pipx install --python python3.6 super-image ``` ## Quick Start ```python 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') ```