{"id":19411211,"url":"https://github.com/distant-viewing/dvt","last_synced_at":"2025-03-17T15:13:19.232Z","repository":{"id":47619531,"uuid":"77978494","full_name":"distant-viewing/dvt","owner":"distant-viewing","description":"Distant Viewing Toolkit for the Analysis of Visual Culture","archived":false,"fork":false,"pushed_at":"2024-08-29T14:17:09.000Z","size":138674,"stargazers_count":93,"open_issues_count":9,"forks_count":12,"subscribers_count":9,"default_branch":"main","last_synced_at":"2025-03-09T17:52:26.865Z","etag":null,"topics":["computer-vision","cultural-analytics","digital-humanities"],"latest_commit_sha":null,"homepage":"https://distantviewing.org","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/distant-viewing.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-01-04T03:49:45.000Z","updated_at":"2025-01-24T14:30:31.000Z","dependencies_parsed_at":"2024-06-23T12:27:53.425Z","dependency_job_id":"454a3f57-26c5-44ef-9d82-0915c5d69c9d","html_url":"https://github.com/distant-viewing/dvt","commit_stats":{"total_commits":15,"total_committers":1,"mean_commits":15.0,"dds":0.0,"last_synced_commit":"dea8bbff2f798e1a480123a28016cb4ac8dce062"},"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/distant-viewing%2Fdvt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/distant-viewing%2Fdvt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/distant-viewing%2Fdvt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/distant-viewing%2Fdvt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/distant-viewing","download_url":"https://codeload.github.com/distant-viewing/dvt/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244056425,"owners_count":20390719,"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","cultural-analytics","digital-humanities"],"created_at":"2024-11-10T12:19:40.039Z","updated_at":"2025-03-17T15:13:19.205Z","avatar_url":"https://github.com/distant-viewing.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Distant Viewing Toolkit for the Analysis of Visual Culture\n\n[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dvt.svg)](https://pypi.python.org/pypi/dvt/) [![PyPI version shields.io](https://img.shields.io/pypi/v/dvt.svg)](https://pypi.python.org/pypi/dvt/) [![PyPI status shields.io](https://img.shields.io/pypi/status/dvt)](https://pypi.python.org/pypi/dvt/) [![DOI](https://joss.theoj.org/papers/10.21105/joss.01800/status.svg)](https://doi.org/10.21105/joss.01800)\n\nThe Distant Viewing Toolkit is a Python package that facilitates the \ncomputational analysis of still and moving images. The most recent\nversion of the package focuses on providing a minimal set of functions\nthat require only a small set of dependencies. Examples of how to make\nuse of the toolkit are given in the following section.\n\nFor more information about setting up the toolkit on your own machine, please\nsee [INSTALL.md](INSTALL.md). More information about the toolkit and project is\navailable on the following pages:\n\n* Example analysis using aggregated metadata: [\"Visual Style in Two Network Era Sitcoms\"](https://culturalanalytics.org/article/11045-visual-style-in-two-network-era-sitcoms)\n* Theory of the project: [\"Distant Viewing: Analyzing Large Visual Corpora.\"](https://doi.org/10.1093/llc/fqz013)\n* Software Whitepaper: [A Python Package for the Analysis of Visual Culture](https://doi.org/10.21105/joss.01800)\n\nIf you have any trouble using the toolkit, please open a\n[GitHub issue](https://github.com/distant-viewing/dvt/issues). If you\nhave additional questions or are interested in collaborating, please contact\nus at tarnold2@richmond.edu and ltilton@richmond.edu.\n\n## Notebooks\n\nIf you are interested in learning more about application of computer vision and\nthe distant viewing toolkit to humanities applications, we offer a self-guided\ntutorial through the following Google Colab notebooks. These can be run for free\nby anyone with a Google account:\n\n- Distant Viewing Tutorial 1: Movie Posters and Color Analysis: [[colab](https://colab.research.google.com/drive/1qQKQw8qHsTG7mK7Rz-z8nBfl98QBMWGf?usp=sharing)], [[slides](https://distantviewing.org/tutorial/dvt_tutorial_slides_01.pdf)], [[notebook](https://github.com/distant-viewing/dvt/blob/main/tutorials/Distant_Viewing_Tutorial_1_Movie_Posters_and_Color_Analysis.ipynb)], [[chapter](https://direct.mit.edu/books/oa-monograph/chapter-pdf/2163342/c001700_9780262375160.pdf)]\n- Distant Viewing Tutorial 2: Network-Era Sitcoms and Visual Style: [[colab](https://colab.research.google.com/drive/1n7qWm47laCUJwg0-Rdx7pNw3dQWwuyxz?usp=sharing)], [[slides](https://distantviewing.org/tutorial/dvt_tutorial_slides_02.pdf)], [[notebook](https://github.com/distant-viewing/dvt/blob/main/tutorials/Distant_Viewing_Tutorial_2_Network_Era_Sitcoms_and_Visual_Style.ipynb)], [[chapter](https://direct.mit.edu/books/oa-monograph/chapter-pdf/2163344/c003200_9780262375160.pdf)]\n\nA shorted demo of the toolkit is also available in the following Google Colab notebook:\n\n- Distant Viewing Toolkit Demo: [[colab](https://colab.research.google.com/drive/1gEnx2b8EJQXijBJXGfN3-Ei5t4NBdwNJ?usp=share_link)]\n\nUnlike the tutorials, the short demo assumes some prior knowledge of Python.\nWhile a background in machine learning or computer vision is not needed, the\nmethods are presented with minimal motivation.\n\n------------------\n\n\u003cbr\u003e\n\n\u003ca href=\"https://www.neh.gov/\" title=\"National Endowment for the Humanities\"\u003e\u003cimg align=\"left\" src=\".images/neh_logo_horizlarge.jpg\" alt=\"NEH\" class=\"rpad\" width=\"300px\"\u003e\u003c/a\u003e The Distant Viewing Toolkit is supported by the National Endowment for the Humanities through a Digital Humanities Advancement Grant.\n\n\u003cbr\u003e\n\n------------------\n\n## Citation\n\nIf you make use of the toolkit in your work, please cite the relevant papers\ndescribing the tool and its application to the study of visual culture:\n\n```\n@article{,\n  title   = \"Distant Viewing: Analyzing Large Visual Corpora\",\n  author  = \"Arnold, Taylor B and Tilton, Lauren\",\n  journal = \"Digital Scholarship in the Humanities\",\n  year    = \"2019\",\n  doi     = \"10.1093/digitalsh/fqz013\",\n  url     = \"http://dx.doi.org/10.1093/digitalsh/fqz013\"\n}\n```\n\n```\n@article{,\n  title   = \"Visual Style in Two Network Era Sitcoms\",\n  author  = \"Arnold, Taylor B and Tilton, Lauren and Berke, Annie\",\n  journal = \"Cultural Analytics\",\n  year    = \"2019\",\n  doi     = \"10.22148/16.043\",\n  url     = \"http://dx.doi.org/10.22148/16.043\"\n}\n```\n\n## Contributing\n\nContributions, including bug fixes and new features, to the toolkit are\nwelcome. When contributing to this repository, please first discuss the change\nyou wish to make via a GitHub issue or email with the maintainers of this\nrepository before making a change. Small bug fixes can be given directly\nas pull requests.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdistant-viewing%2Fdvt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdistant-viewing%2Fdvt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdistant-viewing%2Fdvt/lists"}