{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/14"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/17"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"Provides utility functions and helpers for the Lightly self-supervised learning framework, supporting computer vision model pretraining with numpy and Pillow.","skillfed_tags":["self-supervised-learning","computer-vision"],"use_cases":["Preprocessing and utility support when building self-supervised learning pipelines with Lightly","Handling image data transformations and operations in computer vision SSL workflows","Providing helper functions for custom backbone model integration in SSL pretraining","Supporting distributed training setups via PyTorch Lightning with utility functions"],"what_it_does":"Lightly-utils is a utility package that extends the Lightly self-supervised learning framework. It provides helper functions and building blocks for computer vision tasks using self-supervised learning techniques. The package is designed to work alongside the main Lightly framework, which supports multiple SSL models for pretraining vision models without labeled data.\n\nThe package depends on numpy for numerical operations and Pillow for image handling. It is intended for researchers and developers working with self-supervised learning in PyTorch environments, particularly those using PyTorch Lightning for distributed training. The framework exposes modular components like loss functions and model heads that can be customized for different pretraining approaches.","worth_installing":"Yes, if you are actively using the Lightly framework for self-supervised learning and need its utility functions. The package has low install friction, permissive licensing, and no known vulnerabilities. However, verify that this utility package is still the recommended approach for your Lightly version, as the last release was in 2021."},"id":"lightly-utils","links":{"html":"https://skillfed.io/packages/lightly-utils","md":"https://skillfed.io/packages/lightly-utils.md","pypi":"https://pypi.org/project/lightly-utils/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2021-07-08","license_spdx":null,"license_treatment":"permissive","name":"lightly-utils","python_support":"supports_current","summary":"A utility package for lightly"},"popularity":{"monthly_downloads":158833,"position":10712,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.2"}