{"id":25363425,"url":"https://github.com/apple/parameterized-transforms","last_synced_at":"2025-04-09T03:44:06.906Z","repository":{"id":277385775,"uuid":"932257634","full_name":"apple/parameterized-transforms","owner":"apple","description":"torchvision-based transforms that provide access to parameterization","archived":false,"fork":false,"pushed_at":"2025-02-13T16:45:42.000Z","size":7686,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-02-13T17:39:33.324Z","etag":null,"topics":["computer-vision","deep-learning","machine-learning","parameterization","torchvision","transforms"],"latest_commit_sha":null,"homepage":"https://apple.github.io/parameterized-transforms/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/apple.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-13T16:16:45.000Z","updated_at":"2025-02-13T16:45:46.000Z","dependencies_parsed_at":"2025-02-13T17:52:02.661Z","dependency_job_id":null,"html_url":"https://github.com/apple/parameterized-transforms","commit_stats":null,"previous_names":["apple/parameterized-transforms"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fparameterized-transforms","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fparameterized-transforms/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fparameterized-transforms/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fparameterized-transforms/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/apple","download_url":"https://codeload.github.com/apple/parameterized-transforms/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247974595,"owners_count":21026742,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","deep-learning","machine-learning","parameterization","torchvision","transforms"],"created_at":"2025-02-14T22:22:07.797Z","updated_at":"2025-04-09T03:44:06.891Z","avatar_url":"https://github.com/apple.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Parameterized Transforms\n\n\n## Index\n1. [About the Package](#about-the-package)\n2. [Installation](#installation)\n3. [Getting Started](#getting-started)\n\n\n\u003ca name=\"about-the-package\"\u003e\u003c/a\u003e\n## About the Package\n* The package provides a uniform, modular, and easily extendable implementation of `torchvision`-based transforms that provides access to their parameterization.\n* With this access, the transforms enable users to achieve the following two important functionalities--\n  * Given an image, the transform can return an augmentation along with the parameters used for the augmentation.\n  * Given an image and augmentation parameters, the transform can return the corresponding augmentation.\n\n\n\u003ca name=\"installation\"\u003e\u003c/a\u003e\n## Installation\n- To install the package directly, run the following commands:\n```\ngit clone https://github.com/apple/parameterized-transforms\ncd parameterized-transforms\npip install -e .\n```\n- To install the package via `pip`, run the following command:\n```\npip install --upgrade https://github.com/apple/parameterized-transforms\n```\n- If you want to run unit tests locally, run the following steps:\n```\ngit clone https://github.com/apple/parameterized-transforms\ncd parameterized-transforms\npip install -e .\npip install -e '.[test]'\npytest\n```\n\n\n\u003ca name=\"getting-started\"\u003e\u003c/a\u003e\n## Getting Started\n* To understand the structure of parameterized transforms and the details of the package, we recommend the reader to \nstart with \n[The First Tutorial](https://apple.github.io/parameterized-transforms/tutorials/000-About-the-Package.html) \nof our\n[Tutorial Series](https://apple.github.io/parameterized-transforms/).\n* However, for a quick starter, check out [Parameterized Transforms in a Nutshell](https://apple.github.io/parameterized-transforms/tutorials/999-In-a-Nutshell.html).\n\n---\n\n## Acknowledgement\nIn its development, this project received help from multiple researchers, engineers, and other contributors from Apple.\nSpecial thanks to: Tim Kolecke, Jason Ramapuram, Russ Webb, David Koski, Mike Drob, Megan Maher Welsh, Marco Cuturi Cameto, \nDan Busbridge, Xavier Suau Cuadros, and Miguel Sarabia del Castillo. \n\n## Citation\nIf you find this package useful and want to cite our work, here is the citation:\n```\n@software{Dhekane_Parameterized_Transforms_2025,\n    author = {Dhekane, Eeshan Gunesh},\n    month = {2},\n    title = {{Parameterized Transforms}},\n    url = {https://github.com/apple/parameterized-transforms},\n    version = {1.0.0},\n    year = {2025}\n}\n```\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapple%2Fparameterized-transforms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapple%2Fparameterized-transforms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapple%2Fparameterized-transforms/lists"}