{"library":"torchsr","type":"library","category":null,"description":"torchsr is a Python library providing a collection of Super Resolution (SR) network architectures implemented in PyTorch. It includes popular models like EDSR, RCAN, and NinaSR variants, often with pretrained weights, to easily integrate SR capabilities into deep learning projects. The current version is 1.0.4, with releases focusing on model improvements, new architectures, and compatibility.","language":"python","status":"active","version":"1.0.4","tags":["pytorch","super-resolution","computer-vision","deep-learning","image-processing","machine-learning"],"install":[{"cmd":"pip install torchsr","imports":["import torchsr.models","import torchsr.datasets"]}],"homepage":null,"github":"https://github.com/Coloquinte/torchSR","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torchsr/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":66.6,"avg_import_s":12.72,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torchsr/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}