{"id":18267784,"url":"https://github.com/alicevision/cctag","last_synced_at":"2025-04-04T20:15:12.985Z","repository":{"id":2699397,"uuid":"31016854","full_name":"alicevision/CCTag","owner":"alicevision","description":"Detection of CCTag markers made up of concentric circles.","archived":false,"fork":false,"pushed_at":"2024-06-23T17:07:00.000Z","size":46002,"stargazers_count":366,"open_issues_count":6,"forks_count":88,"subscribers_count":35,"default_branch":"develop","last_synced_at":"2025-03-28T19:11:19.543Z","etag":null,"topics":["computer-vision","concentric-circles","detection","fiducial-markers","image-processing","markers"],"latest_commit_sha":null,"homepage":"https://cctag.readthedocs.io","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/alicevision.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGES.md","contributing":"CONTRIBUTING.md","funding":null,"license":"COPYING.md","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2015-02-19T13:41:26.000Z","updated_at":"2025-03-24T07:09:09.000Z","dependencies_parsed_at":"2024-06-11T23:13:53.267Z","dependency_job_id":"17a975da-7fe1-4e79-a9ad-1f9590c825cf","html_url":"https://github.com/alicevision/CCTag","commit_stats":{"total_commits":1514,"total_committers":25,"mean_commits":60.56,"dds":0.7318361955085866,"last_synced_commit":"7e2ef3c59f5e45fc489248f7a0ab97339fa3b170"},"previous_names":[],"tags_count":14,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alicevision%2FCCTag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alicevision%2FCCTag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alicevision%2FCCTag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alicevision%2FCCTag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alicevision","download_url":"https://codeload.github.com/alicevision/CCTag/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247242681,"owners_count":20907134,"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","concentric-circles","detection","fiducial-markers","image-processing","markers"],"created_at":"2024-11-05T11:28:52.152Z","updated_at":"2025-04-04T20:15:12.967Z","avatar_url":"https://github.com/alicevision.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"CCTag library\n===================\n[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3989/badge)](https://bestpractices.coreinfrastructure.org/projects/3989) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/a99505cea4bd4cd195b9b65b6114ee90)](https://www.codacy.com/manual/alicevision/CCTag?utm_source=github.com\u0026amp;utm_medium=referral\u0026amp;utm_content=alicevision/CCTag\u0026amp;utm_campaign=Badge_Grade)\n\nDetection of CCTag markers made up of concentric circles. Implementations in both CPU and GPU.\n\nThe library is the implementation of the paper: \n\n* Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini. **Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions.** In: *Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR 2016)*, Las Vegas, E.-U., IEEE Computer Society, p. 562-570, June 2016.  https://doi.org/10.1109/CVPR.2016.67 \n\nIf you want to cite this work in your publication, please use the following \n\n```latex\n@inproceedings{calvet2016Detection,\n  TITLE = {{Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions}},\n  AUTHOR = {Calvet, Lilian and Gurdjos, Pierre and Griwodz, Carsten and Gasparini, Simone},\n  BOOKTITLE = {{Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}},\n  ADDRESS = {Las Vegas, United States},\n  PAGES = {562 - 570},\n  YEAR = {2016},\n  MONTH = Jun,\n  DOI = {10.1109/CVPR.2016.67}\n}\n```\n\nMarker library\n---------\n\nMarkers to print are located [here](markersToPrint).\n\n**WARNING**\nPlease respect the provided margins. The reported detection rate and localization accuracy are valid with completely planar support: be careful not to use bent support (e.g. corrugated sheet of paper).\n\nThe four rings CCTags will be available soon.\n\nCCTags requires either CUDA 8.0 and newer or CUDA 7.0 (CUDA 7.5 builds are known to have runtime errors on some devices including the GTX980Ti). The device must have at least compute capability 3.5.\n\nCheck your graphic card CUDA compatibility [here](https://github.com/tpruvot/ccminer/wiki/Compatibility).\n\nBuilding\n--------\n\nSee [INSTALL](INSTALL.md) text file.\n\nContinuous integration:\n\n|         \t| windows \t| linux \t|\n|---------\t|:-------:\t|:-----:\t|\n| master  \t|  [![Build status](https://ci.appveyor.com/api/projects/status/909b01qlixwslvmf?svg=true)](https://ci.appveyor.com/project/AliceVision/cctag)       \t| ![Continuous Integration](https://github.com/alicevision/CCTag/workflows/Continuous%20Integration/badge.svg?branch=master)      \t|\n| develop \t|  [![Build status](https://ci.appveyor.com/api/projects/status/909b01qlixwslvmf/branch/develop?svg=true)](https://ci.appveyor.com/project/AliceVision/cctag/branch/develop)        \t| ![Continuous Integration](https://github.com/alicevision/CCTag/workflows/Continuous%20Integration/badge.svg?branch=develop)       \t|\n\nRunning\n-------\n\nOnce compiled, you might want to run the CCTag detection on a sample image:\n\n```bash\n$ build/src/detection -n 3 -i sample/01.png\n```\nFor the library interface, see [ICCTag.hpp](src/cctag/ICCTag.hpp).\n\nDocumentation\n-------------\n\nThe documentation can be found on the [Read the Docs page](https://cctag.readthedocs.io/en/doc-first/index.html)\n\n\nLicense\n-------\n\nCCTag is licensed under [MPL v2 license](COPYING.md).\n\nAuthors\n-------\n\nLilian Calvet (CPU, lilian.calvet@gmail.com)  \nCarsten Griwodz (GPU, griff@simula.no)  \nStian Vrba (CPU, vrba@mixedrealities.no)  \nCyril Pichard (pih@mikrosimage.eu)  \nSimone Gasparini (simone.gasparini@gmail.com)\n\nAcknowledgments\n---------\n\nThis has been developed in the context of the European project [POPART](https://alicevision.org/popart/) founded by European Union’s Horizon 2020 research and innovation programme under grant agreement No 644874.\n\nAdditional contributions for performance optimizations have been funded by the Norwegian RCN FORNY2020 project FLEXCAM.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falicevision%2Fcctag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falicevision%2Fcctag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falicevision%2Fcctag/lists"}