{"id":17526300,"url":"https://github.com/scanner-research/scanner","last_synced_at":"2025-05-16T14:06:20.545Z","repository":{"id":17446646,"uuid":"62756469","full_name":"scanner-research/scanner","owner":"scanner-research","description":"Efficient video analysis at scale","archived":false,"fork":false,"pushed_at":"2023-06-01T18:10:56.000Z","size":71302,"stargazers_count":624,"open_issues_count":83,"forks_count":109,"subscribers_count":51,"default_branch":"master","last_synced_at":"2025-04-12T10:58:20.576Z","etag":null,"topics":["big-data","cpp","distributed","gpu","python","video"],"latest_commit_sha":null,"homepage":"https://scanner-research.github.io/","language":"C++","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/scanner-research.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2016-07-06T22:07:28.000Z","updated_at":"2025-03-31T03:19:05.000Z","dependencies_parsed_at":"2022-08-09T12:30:18.159Z","dependency_job_id":"80943e88-17a6-4c79-8219-59c531186042","html_url":"https://github.com/scanner-research/scanner","commit_stats":{"total_commits":2275,"total_committers":18,"mean_commits":"126.38888888888889","dds":"0.36747252747252745","last_synced_commit":"04a0c4b4196341995985acd729c0788aab823e1c"},"previous_names":[],"tags_count":29,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scanner-research%2Fscanner","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scanner-research%2Fscanner/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scanner-research%2Fscanner/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scanner-research%2Fscanner/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/scanner-research","download_url":"https://codeload.github.com/scanner-research/scanner/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254544146,"owners_count":22088807,"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":["big-data","cpp","distributed","gpu","python","video"],"created_at":"2024-10-20T15:01:36.554Z","updated_at":"2025-05-16T14:06:15.537Z","avatar_url":"https://github.com/scanner-research.png","language":"C++","readme":"# Scanner: Efficient Video Analysis at Scale [![GitHub tag](https://img.shields.io/github/tag/scanner-research/scanner.svg)](https://GitHub.com/scanner-research/scanner/tags/) [![Build Status](https://travis-ci.org/scanner-research/scanner.svg?branch=master)](https://travis-ci.org/scanner-research/scanner) #\n\nScanner is a system for developing applications that efficiently process large video datasets. \n\nTo learn more about Scanner, see the documentation at [scanner.run](http://scanner.run), check out the [various example applications](https://github.com/scanner-research/scanner/tree/master/examples), or read the SIGGRAPH 2018 Technical Paper: \"[Scanner: Efficient Video Analysis at Scale](http://graphics.stanford.edu/papers/scanner/)\".\n\n## Documentation\n\nScanner's documentation is hosted at [scanner.run](http://scanner.run). Here\nare a few links to get you started:\n\n* [Installation](http://scanner.run/installation.html)\n* [Getting Started](http://scanner.run/getting-started.html)\n* [Programming Handbook](http://scanner.run/programming-handbook.html)\n* [API Reference](http://scanner.run/api.html)\n* [SIGGRAPH 2018 Technical Paper](http://graphics.stanford.edu/papers/scanner/scanner_sig18.pdf)\n* [Scanner Examples](https://github.com/scanner-research/scanner/tree/master/examples)\n\n## Contributing\n\nIf you'd like to contribute to the development of Scanner, you should first\nbuild Scanner [from source](http://scanner.run/from_source.html).\n\nPlease submit a pull-request rebased against the most recent version of the\nmaster branch and we will review your changes to be merged. Thanks for\ncontributing!\n\n### Running tests\nYou can run the full suite of tests by executing `make test` in the directory\nyou used to build Scanner. This will run both the C++ tests and the end-to-end\ntests that verify the python API.\n\n## About\nScanner is an active research project, part of a collaboration between Stanford and Carnegie Mellon University. Please contact [Alex Poms](https://github.com/apoms) and [Will Crichton](https://github.com/willcrichton) with questions.\n\nScanner was developed with the support of the NSF (IIS-1539069), the Intel Corporation (through the Intel Science and Technology Center for Visual Cloud Computing and the NSF/Intel VEC program), and by Google.\n\n### Paper citation\nScanner was published at SIGGRAPH 2018 as \"[Scanner: Efficient Video Analysis at Scale](http://graphics.stanford.edu/papers/scanner/)\" by Poms, Crichton, Hanrahan, and Fatahalian. If you use Scanner in your research, we'd appreciate it if you cite the paper with the following bibtex:\n```\n@article{Poms:2018:Scanner,\n author = {Poms, Alex and Crichton, Will and Hanrahan, Pat and Fatahalian, Kayvon},\n title = {Scanner: Efficient Video Analysis at Scale},\n journal = {ACM Trans. Graph.},\n issue_date = {August 2018},\n volume = {37},\n number = {4},\n month = jul,\n year = {2018},\n issn = {0730-0301},\n pages = {138:1--138:13},\n articleno = {138},\n numpages = {13},\n url = {http://doi.acm.org/10.1145/3197517.3201394},\n doi = {10.1145/3197517.3201394},\n acmid = {3201394},\n publisher = {ACM},\n address = {New York, NY, USA},\n} \n```\n\n","funding_links":[],"categories":["\u003ca name=\"cpp\"\u003e\u003c/a\u003eC++"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscanner-research%2Fscanner","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscanner-research%2Fscanner","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscanner-research%2Fscanner/lists"}