{"id":22328601,"url":"https://github.com/pkg-dot-zip/traffic-tactician","last_synced_at":"2025-07-29T18:31:35.209Z","repository":{"id":265770329,"uuid":"788508197","full_name":"pkg-dot-zip/traffic-tactician","owner":"pkg-dot-zip","description":"Training simulation for traffic controllers using OpenGL and OpenCV, created for an university assignment.","archived":false,"fork":false,"pushed_at":"2024-09-24T19:01:49.000Z","size":51618,"stargazers_count":5,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-11-30T21:31:31.890Z","etag":null,"topics":["cpp","glfw","imgui","opencv","opengl","pose-detection","pose-estimation"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pkg-dot-zip.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":"2024-04-18T14:52:51.000Z","updated_at":"2024-09-24T19:01:55.000Z","dependencies_parsed_at":"2024-11-30T21:41:41.701Z","dependency_job_id":null,"html_url":"https://github.com/pkg-dot-zip/traffic-tactician","commit_stats":null,"previous_names":["pkg-dot-zip/traffic-tactician"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkg-dot-zip%2Ftraffic-tactician","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkg-dot-zip%2Ftraffic-tactician/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkg-dot-zip%2Ftraffic-tactician/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkg-dot-zip%2Ftraffic-tactician/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pkg-dot-zip","download_url":"https://codeload.github.com/pkg-dot-zip/traffic-tactician/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228034881,"owners_count":17859245,"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":["cpp","glfw","imgui","opencv","opengl","pose-detection","pose-estimation"],"created_at":"2024-12-04T03:13:05.523Z","updated_at":"2024-12-04T03:13:06.103Z","avatar_url":"https://github.com/pkg-dot-zip.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/SpaceYoshi/traffic-tactician/\" rel=\"noopener\"\u003e\n \u003cimg width=400px height=400px src=\"logo.png\" alt=\"Project logo\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003ch3 align=\"center\"\u003eTraffic Tactician\u003c/h3\u003e\n\n\u003cdiv align=\"center\"\u003e\n\n  [![Stars](https://img.shields.io/github/stars/pkg-dot-zip/traffic-tactician.svg)](https://github.com/pkg-dot-zip/traffic-tactician/stargazers)\n  [![GitHub Issues](https://img.shields.io/github/issues/pkg-dot-zip/traffic-tactician.svg)](https://github.com/pkg-dot-zip/traffic-tactician/issues)\n  [![GitHub Pull Requests](https://img.shields.io/github/issues-pr/pkg-dot-zip/traffic-tactician.svg)](https://github.com/pkg-dot-zip/traffic-tactician/pulls)\n\n\u003c/div\u003e\n\n---\n\n\u003cp align=\"center\"\u003e A traffic controller training program in C++ using \u003ca href=\"https://opencv.org/\"\u003eOpenCV\u003c/a\u003e \u0026 \u003ca href=\"https://www.opengl.org/\"\u003eOpenGL\u003c/a\u003e.\n    \u003cbr\u003e \n\u003c/p\u003e\n\n## 📝 Table of Contents\n- [About](#about)\n- [Built Using](#built_using)\n- [Authors](#authors)\n\n## 🧐 About \u003ca name = \"about\"\u003e\u003c/a\u003e\nTraffic Tactician is a training program made in C++ for a uni assignment. The software uses \u003ca href=\"https://opencv.org/\"\u003eOpenCV\u003c/a\u003e \u0026 \u003ca href=\"https://www.opengl.org/\"\u003eOpenGL\u003c/a\u003e.\n\n⚠ Note: Ensure that your environment variables are configured correctly for OpenCV. This includes a variable \"OPENCV\" that leads to your OpenCV build folder (e.g. *C:\\opencv*). Your Path variable should also contain the *C:\\opencv\\build\\x64\\vc16\\bin* directory or equivalent.\n\n⚠ Note: Make sure to download the *pose_iter_440000.caffemodel* from the [CMU School of Computer Science](https://www.cs.cmu.edu/), and put it in *${SolutionDir}\\TrafficTactician\\pose\\coco*.\n\n⚠ Note: In case of getting the \"could not find opencv_world490d.lib\" error, check that you have installed (the right version of) OpenCV correctly, and have configured it in your environment variables. Alternatively, you can drag the .dll files manually into *${SolutionDir}\\TrafficTactician\\x64\\${ConfigurationName}*.\n\n⚠ Note: Make sure to build the solution when making changes to *settings.json* to ensure having the updated header file.\n\n## ⛏️ Built Using \u003ca name = \"built_using\"\u003e\u003c/a\u003e\n- [OpenGL](https://opengl.org/) - The Industry's Foundation for High Performance Graphics\n- [OpenCV](https://opencv.org/) - World's biggest computer vision library\n- [GLFW](https://www.glfw.org/) - Open Source, multi-platform library for OpenGL\n- [GLM](https://github.com/g-truc/glm/) - OpenGL Mathematics (GLM)\n- [GLEW](https://github.com/nigels-com/glew/) - The OpenGL Extension Wrangler Library\n- [Dear ImGui](https://github.com/ocornut/imgui/) - The bloat-free graphical user interface library for C++\n- [Easylogging++](https://github.com/abumq/easyloggingpp/) - Single header efficient logging library for C++ applications\n- [json2hpp](https://github.com/KaixoCode/json2hpp/) - CMake module that converts a json file straight into a C++ header containing a constexpr object\n- [utest.h](https://github.com/sheredom/utest.h) - Single header unit testing framework for C and C++\n\n## ✍️ Authors \u003ca name = \"authors\"\u003e\u003c/a\u003e\n- [@OnsPetruske](https://github.com/pkg-dot-zip)\n- [@SpaceYoshi](https://github.com/SpaceYoshi)\n- [@lrstolk](https://github.com/lrstolk)\n- [@Mosu5](https://github.com/Mosu5)\n- [@Sam-D-C](https://github.com/Sam-D-C)\n- [@Yuichi135](https://github.com/Yuichi135)\n\nSee also the list of [contributors](https://github.com/pkg-dot-zip/traffic-tactician/contributors) who participated in this project.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpkg-dot-zip%2Ftraffic-tactician","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpkg-dot-zip%2Ftraffic-tactician","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpkg-dot-zip%2Ftraffic-tactician/lists"}