{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"}],"enrichment":{"capability":"BasicSR is a PyTorch-based toolbox for image and video restoration tasks including super-resolution, denoising, deblurring, and JPEG artifact removal.","skillfed_tags":["image-restoration","video-enhancement","deep-learning"],"use_cases":["Train and evaluate super-resolution models on custom datasets using provided pipelines.","Perform batch inference on images or video frames using pre-trained restoration models.","Implement custom restoration architectures by extending BasicSR's base classes.","Benchmark different restoration algorithms on standard datasets.","Integrate restoration models into production pipelines via the Python API."],"what_it_does":"BasicSR is an open-source restoration framework built on PyTorch that provides training and inference pipelines for image and video enhancement. It implements multiple architectures for super-resolution, denoising, deblurring, and JPEG artifact removal. The toolbox is designed for researchers and practitioners working on restoration tasks, offering both high-level APIs for quick inference and lower-level components for custom model development.\n\nThe package has no runtime dependencies listed, meaning it expects users to install PyTorch and other heavy dependencies separately. This design choice reduces bloat but increases setup complexity. The project is dormant\u2014last released in August 2022 with minimal recent maintenance\u2014so it functions primarily as a reference implementation and code repository rather than an actively maintained library. Two known security vulnerabilities are present in the codebase.","worth_installing":"Yes, with conditions. BasicSR is worth installing if you need a reference implementation for restoration research or want to train custom models using its provided architectures and pipelines. However, expect high setup friction, no active maintenance, and unresolved security vulnerabilities. For production use, consider sister projects which may offer more stability. Install only if you have PyTorch expertise and can manage dependencies yourself."},"id":"basicsr","links":{"html":"https://skillfed.io/packages/basicsr","md":"https://skillfed.io/packages/basicsr.md","pypi":"https://pypi.org/project/basicsr/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2022-08-30","license_spdx":null,"license_treatment":"permissive","name":"basicsr","python_support":"unspecified","summary":"Open Source Image and Video Super-Resolution Toolbox"},"popularity":{"monthly_downloads":289549,"position":8000,"tier":"top_15000"},"security":{"n_vulnerabilities":2},"version":"1.4.2"}