public static async Task <int> Main(string[] args) { var path = Environment.GetEnvironmentVariable("PATH"); Environment.SetEnvironmentVariable("PATH", @"C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\inference_engine\bin\intel64\Release;C:\Program Files (x86)\IntelSWTools\openvino\opencv\bin;" + path); WindowsLibraryLoader.Instance.AdditionalPaths.Add(@"C:\Users\nick\Source\Repos\OpenVinoOpenCvSharp\install\bin"); if (args.Length != 4) { Console.WriteLine("Usage: PersonDetection <input format> <input camera> <model> <output>"); return(-1); } try { FFmpegHelper.Register(); var buildInfo = OpenCvSharp.Cv2.GetBuildInformation(); Console.WriteLine($"Build info: {buildInfo}"); var inputFormat = args[0]; var inputCamera = args[1]; var model = args[2]; var output = args[3]; var outputFolder = new DirectoryInfo(output); if (!outputFolder.Exists) { outputFolder.Create(); } var dataTransfer = new DataTransfer <MatAndBuffer>(); IDetector detector; if (model.EndsWith("bin", StringComparison.OrdinalIgnoreCase)) { detector = new InferenceEngineDetector(model); } else if (model.EndsWith("cfg", StringComparison.OrdinalIgnoreCase)) { detector = new TinyYoloV3Detector(model); } else if (model.EndsWith("caffemodel", StringComparison.OrdinalIgnoreCase)) { detector = new CaffeDnnFaceDetector(model); } else { throw new ArgumentException($"Unknown model type: {model}"); } ProcessStream(inputFormat, inputCamera, dataTransfer); var counter = 0; while (true) { using var data = await dataTransfer.GetNext(default);
public static async Task <int> Main(string[] args) { if (args.Length < 4) { Console.WriteLine("usage: StandaloneFaceDetection <input format> <input camera> <model> <output>"); return(-1); } try { FFmpegHelper.Register(); var buildInfo = OpenCvSharp.Cv2.GetBuildInformation(); Console.WriteLine($"Build information: {buildInfo}"); var inputFormat = args[0]; var inputCamera = args[1]; var model = args[2]; var output = args[3]; var target = args.Length < 5 ? Net.Target.CPU : Enum.Parse <Net.Target>(args[4]); var backend = args.Length < 6 ? Net.Backend.OPENCV : Enum.Parse <Net.Backend>(args[5]); var outputFolder = new DirectoryInfo(output); if (!outputFolder.Exists) { outputFolder.Create(); } var dataTransfer = new DataTransfer <MatAndBuffer>(); IDetector detector; if (model.EndsWith("bin", StringComparison.OrdinalIgnoreCase)) { detector = new InferenceEngineDetector(model, backend, target); } else if (model.EndsWith("cfg", StringComparison.OrdinalIgnoreCase)) { detector = new TinyYoloV3Detector(model); } else if (model.EndsWith("caffemodel", StringComparison.OrdinalIgnoreCase)) { detector = new CaffeDnnFaceDetector(model); } else { throw new ArgumentException($"Unknown model type: {model}"); } ProcessStream(inputFormat, inputCamera, dataTransfer); var counter = 0; while (true) { using var data = await dataTransfer.GetNext(default);
public static async Task <int> Main(string[] args) { WindowsLibraryLoader.Instance.AdditionalPaths.Add(@"C:\Users\nick\Source\Repos\OpenVinoOpenCvSharp\install\bin"); if (args.Length != 4) { Console.WriteLine("Usage: PersonDetection <input format> <input camera> <model> <output>"); return(-1); } try { FFmpegHelper.Register(); //AssemblyLoadConfiguration.For<OpenCvSharp.Point>(); var buildInfo = OpenCvSharp.Cv2.GetBuildInformation(); Console.WriteLine($"Build info: {buildInfo}"); var inputFormat = args[0]; var inputCamera = args[1]; var model = args[2]; var output = args[3]; var outputFolder = new DirectoryInfo(output); if (!outputFolder.Exists) { outputFolder.Create(); } var dataTransfer = new DataTransfer <MatAndBuffer>(); var detector = model.EndsWith(".pb", StringComparison.OrdinalIgnoreCase) ? (IDetector)(new TensorFlowDnnFaceDetector(model)) : (IDetector)(new CaffeDnnFaceDetector(model)); ProcessStream(inputFormat, inputCamera, dataTransfer); var counter = 0; while (true) { using var data = await dataTransfer.GetNext(default);