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Dismiss alert {{ message }} asfarley / vtc_opensource Public * Notifications You must be signed in to change notification settings * Fork 5 * Star 38 vtc: Video Traffic Counter License View license 38 stars 5 forks Branches Tags Activity Star Notifications You must be signed in to change notification settings * Code * Issues 0 * Pull requests 0 * Actions * Projects 0 * Security * Insights Additional navigation options * Code * Issues * Pull requests * Actions * Projects * Security * Insights asfarley/vtc_opensource master BranchesTags [ ] Go to file Code Folders and files Last Last Name Name commit commit message date Latest commit History 3 Commits AdvancedInstaller AdvancedInstaller Example Settings Example Settings Indicators Indicators Thirdparty Thirdparty TrafficCounter TrafficCounter TrajectoryAnalyzer TrajectoryAnalyzer VTC Report Generator VTC Report Generator VTC Supervisor VTC Supervisor VTC.Classifier VTC.Classifier VTC.Common VTC.Common VTC.Kernel VTC.Kernel VTC.KernelTests VTC.KernelTests VTC.Reporting VTC.Reporting VTC.TurnClassifier VTC.TurnClassifier VTC.db VTC.db packages packages .gitattributes .gitattributes .gitignore .gitignore License.rtf License.rtf Local.testsettings Local.testsettings README.md README.md SharedAssemblyInfo.cs SharedAssemblyInfo.cs TraceAndTestImpact.testsettings TraceAndTestImpact.testsettings TrafficCounter.sln TrafficCounter.sln TrafficCounter.sln.DotSettings TrafficCounter.sln.DotSettings TrafficCounter.vsmdi TrafficCounter.vsmdi ipCameras.txt ipCameras.txt setup.bat setup.bat View all files Repository files navigation * README * License vtc Video Traffic Counter --------------------------------------------------------------------- VTC is a video-based traffic counting application for Windows computers. VTC targets Windows 10 but should also work on Windows 7, Vista and 8. VTC does not have any strict hardware dependencies, but a modern nVidia discrete GPU is highly recommended. GTX1060 has been tested; at least 4GB of RAM in the GPU is recommended. The GPU must be nVidia-brand in order to yield a performance improvement; VTC requires CUDA to accelerate image-recognition tasks. Development environment setup * Install Visual Studio 2017 to build VTC. * Clone repository anywhere (e.x. - C:\VTC). * Optional: install Visual Studio 2015 to build Yolo DLL. * Optional: install Emgu/OpenCV. User guide Information related to setup, configuration and troubleshooting can be found here: roadometry.com/information.html Output See the following link for an example of a video-count report generated by VTC: roadometry.com/report.html Image debugger visualizer During debugging it's useful to view image objects as a raster image, not as a array or bytes. To install image visualizer follow instructions at \Thirdparty\ImageVisualizer\readme.txt. Visualizing unit tests Use -tests command line argument to run unit tests. Logs Logs are written to %AppData%\VTC\1.0\Logs\. --------------------------------------------------------------------- (c) Roadometry 2018 About vtc: Video Traffic Counter Resources Readme License View license Activity Stars 38 stars Watchers 1 watching Forks 5 forks Report repository Releases No releases published Packages 0 No packages published Footer (c) 2024 GitHub, Inc. Footer navigation * Terms * Privacy * Security * Status * Docs * Contact * Manage cookies * Do not share my personal information You can't perform that action at this time.