{"library":"basicsr","type":"library","category":null,"description":"BasicSR is an open-source toolbox for image and video super-resolution and restoration, primarily built on PyTorch. It provides a flexible framework, common architectures, and training/testing scripts for various SOTA methods. The library sees active, though somewhat irregular, releases with a focus on adding new models and utility enhancements, currently at version 1.4.2.","language":"python","status":"active","version":"1.4.2","tags":["deep learning","computer vision","super-resolution","image restoration","pytorch","video processing"],"last_verified":"Mon May 25","install":[{"cmd":"pip install basicsr","imports":["from basicsr.utils.realesrgan_utils import RealESRGANer","from basicsr.archs.rrdbnet_arch import RRDBNet","from basicsr.utils.img_util import img2tensor, tensor2img","from basicsr.utils.download_util import load_file_from_url"]},{"cmd":"pip install --upgrade basicsr","imports":[]},{"cmd":"pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118\npip install basicsr","imports":[]}],"homepage":"https://basicsr.readthedocs.io","github":"https://github.com/xinntao/BasicSR","docs":null,"changelog":null,"pypi":"https://pypi.org/project/basicsr/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":13,"avg_install_s":105.6,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/basicsr/compatibility"}}