public customvision() { var url = NSBundle.MainBundle.GetUrlForResource("customvision", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
public MarsHabitatPricer() { var url = NSBundle.MainBundle.GetUrlForResource("MarsHabitatPricer", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
public Inceptionv3() { var url = NSBundle.MainBundle.GetUrlForResource("Inceptionv3", "mlmodelc"); NSError err; Model = MLModel.Create(url, out err); }
public SqueezeNet() { var url = NSBundle.MainBundle.GetUrlForResource("SqueezeNet", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
private static VNCoreMLModel LoadModel(string modelName) { var modelPath = CompileModel(modelName); if (modelPath == null) { throw new ImageClassifierException($"Model {modelName} does not exist"); } var mlModel = MLModel.Create(modelPath, out NSError err); if (err != null) { throw new NSErrorException(err); } var model = VNCoreMLModel.FromMLModel(mlModel, out err); if (err != null) { throw new NSErrorException(err); } return(model); }
public PhotoDetector() { var assetPath = NSBundle.MainBundle.GetUrlForResource("FriesOrNotFries", "mlmodelc"); _mlModel = MLModel.Create(assetPath, out var _); _model = VNCoreMLModel.FromMLModel(_mlModel, out var __); }
public MobCatOrNot() { var url = NSBundle.MainBundle.GetUrlForResource("MobCatOrNot", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
public ObjectDetector() { var url = NSBundle.MainBundle.GetUrlForResource("ObjectDetector", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
public mymodel() { var url = NSBundle.MainBundle.GetUrlForResource("mymodel", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
public TheseAreBirds() { var url = NSBundle.MainBundle.GetUrlForResource("TheseAreBirds", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
public ImageClassifier() { var url = NSBundle.MainBundle.GetUrlForResource("ImageClassifier", "mlmodelc"); NSError err; model = MLModel.Create(url, out err); }
private VNCoreMLModel LoadModel(string modelName) { var modelPath = NSBundle.MainBundle.GetUrlForResource(modelName, "mlmodelc") ?? CompileModel(modelName); if (modelPath == null) { throw new ImageClassifierException($"Model {modelName} does not exist"); } var mlModel = MLModel.Create(modelPath, out NSError err); if (err != null) { throw new NSErrorException(err); } var model = VNCoreMLModel.FromMLModel(mlModel, out err); if (err != null) { throw new NSErrorException(err); } return(model); }
/// <summary> /// Initializes a new instance of the <see cref="CoreMLImageModel"/> class and loads the CoreML model. /// </summary> public CoreMLImageModel(string modelName, string inputFeatureName, string outputFeatureName) { NSUrl assetPath = NSBundle.MainBundle.GetUrlForResource(modelName, "mlmodelc"); this.mlModel = MLModel.Create(assetPath, out NSError mlError); this.inputFeatureName = inputFeatureName; this.outputFeatureName = outputFeatureName; }
static FriesOrNotFriesService() { // Load the ML model var assetPath = NSBundle.MainBundle.GetUrlForResource("e3e4e645c0944c6ca84f9a000e501b22", "mlmodelc"); var friedOrNotFriedModel = MLModel.Create(assetPath, out _); VModel = VNCoreMLModel.FromMLModel(friedOrNotFriedModel, out _); }
static JankenJudgeService() { // Load the ML model var assetPath = NSBundle.MainBundle.GetUrlForResource("jankenmodel", "mlmodelc"); var friedOrNotFriedModel = MLModel.Create(assetPath, out _); _vnmodel = VNCoreMLModel.FromMLModel(friedOrNotFriedModel, out _); }
static DetectService() { // Load the ML model var assetPath = NSBundle.MainBundle .GetUrlForResource(name: "detectBalls", fileExtension: "mlmodelc"); var detectModel = MLModel.Create(url: assetPath, error: out _); VModel = VNCoreMLModel.FromMLModel(model: detectModel, error: out _); }
void LoadMLModel() { // Load the ML model var assetPath = NSBundle.MainBundle.GetUrlForResource("44105f291f4648b2b0ad7d42d639cb20", "mlmodelc"); var mlModel = MLModel.Create(assetPath, out NSError mlErr); var vModel = VNCoreMLModel.FromMLModel(mlModel, out NSError vnErr); ClassificationRequest = new VNCoreMLRequest(vModel, HandleClassification); }
public iOSMNSSD() { var assetPath = NSBundle.MainBundle.GetUrlForResource("ssd_mobilenet_feature_extractor", "mlmodelc"); var mlModel = MLModel.Create(assetPath, out NSError mlError); if (mlError == null) { _VNMLModel = VNCoreMLModel.FromMLModel(mlModel, out mlError); } }
/// <summary> /// A default constructor with default constructor value. /// </summary> public CoreMLModel() { var assetPath = NSBundle.MainBundle.GetUrlForResource(ModelName, ModelResourceExt); if (assetPath == null) { throw new FileNotFoundException(); } _mlModel = MLModel.Create(assetPath, out _); _inputFeatureName = Constants.DefaultInputFeatureName; }
VNRequest GetClassificationRequest(string resourceName) { resourceName = resourceName.Replace(".mlmodel", "").Replace(".mlmodelc", ""); var modelPath = NSBundle.MainBundle.GetUrlForResource(resourceName, ".mlmodelc"); NSError createErr, mlErr; var mlModel = MLModel.Create(modelPath, out createErr); var model = VNCoreMLModel.FromMLModel(mlModel, out mlErr); var classificationRequest = new VNCoreMLRequest(model, HandleClassifications); return(classificationRequest); }
private void PrepareCoreMLModel() { var xModelPath = NSBundle.MainBundle.GetUrlForResource("xModel", "mlmodelc"); var yModelPath = NSBundle.MainBundle.GetUrlForResource("yModel", "mlmodelc"); xModel = MLModel.Create(xModelPath, out NSError xModelErrors); System.Console.WriteLine(xModel); yModel = MLModel.Create(yModelPath, out NSError yModelErrors); System.Console.WriteLine(yModel); }
public iOSImageClassifier(string modelName, int outSize) { _outSize = outSize; var assetPath = NSBundle.MainBundle.GetUrlForResource(modelName, "mlmodelc"); var mlModel = MLModel.Create(assetPath, out NSError mlError); if (mlError == null) { _VNMLModel = VNCoreMLModel.FromMLModel(mlModel, out mlError); } }
private MLModel LoadModel(string modelName) { var bundle = NSBundle.MainBundle; var assetPath = bundle.GetUrlForResource(modelName, "mlmodelc"); var mdl = MLModel.Create(assetPath, out var error); if (error != null) { //ErrorOccurred(this, new EventArgs<string>(err.ToString())); } return(mdl); }
public override void ViewDidLoad() { base.ViewDidLoad(); var modelUrl = NSBundle.MainBundle.GetUrlForResource("HotDogOrNot", "mlmodel"); var compiledModelUrl = MLModel.CompileModel(modelUrl, out var error); if (error == null) { model = MLModel.Create(compiledModelUrl, out error); Console.WriteLine($"MODEL LOADED: {model}"); if (error == null) { var nvModel = VNCoreMLModel.FromMLModel(model, out error); if (error == null) { classificationRequest = new VNCoreMLRequest(nvModel, HandleVNRequest); } } } if (error != null) { Console.WriteLine($"ERROR LOADING MODEL: {error}"); } arkitSupported = ARConfiguration.IsSupported; if (arkitSupported) { arView = new ARSCNView() { Frame = View.Bounds, AutoresizingMask = UIViewAutoresizing.FlexibleDimensions, }; arView.AddGestureRecognizer(new UITapGestureRecognizer(HandleARTapped)); View.AddSubview(arView); } else { imgView = new UIImageView(View.Bounds) { BackgroundColor = UIColor.Black, ContentMode = UIViewContentMode.ScaleAspectFill, UserInteractionEnabled = true, Frame = View.Bounds, AutoresizingMask = UIViewAutoresizing.FlexibleDimensions, }; imgView.AddGestureRecognizer(new UITapGestureRecognizer(HandleImageTapped)); View.AddSubview(imgView); } }
private VNCoreMLModel LoadModel(string modelUrl) { var webClient = new WebClient(); string documentsPath = Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments); string localFilename = "current.mlmodel"; string localPath = Path.Combine(documentsPath, localFilename); webClient.DownloadFile(modelUrl, localPath); var fileUrl = NSUrl.FromFilename(localPath); // var downloadManager = CrossDownloadManager.Current; // var file = downloadManager.CreateDownloadFile(modelUrl); // downloadManager.Start(file); // while(file.Status != Plugin.DownloadManager.Abstractions.DownloadFileStatus.COMPLETED) // { // System.Threading.Thread.Sleep(1000); //file. //} //var url = new NSUrl(file.Url); //var modelPath = NSBundle.MainBundle.GetUrlForResource(modelName, "mlmodelc") ?? CompileModel(modelName); //if (modelPath == null) //throw new ImageClassifierException($"Model {modelName} does not exist"); var compliedModel = MLModel.CompileModel(fileUrl, out NSError complieErr); if (complieErr != null) { throw new NSErrorException(complieErr); } var mlModel = MLModel.Create(compliedModel, out NSError createErr); if (createErr != null) { throw new NSErrorException(createErr); } var model = VNCoreMLModel.FromMLModel(mlModel, out NSError err); if (err != null) { throw new NSErrorException(err); } return(model); }
public void Classify(byte[] bytes) { var modelUrl = NSBundle.MainBundle.GetUrlForResource("people-or-not", "mlmodel"); var compiledUrl = MLModel.CompileModel(modelUrl, out var error); var compiledModel = MLModel.Create(compiledUrl, out error); var vnCoreModel = VNCoreMLModel.FromMLModel(compiledModel, out error); var classificationRequest = new VNCoreMLRequest(vnCoreModel, HandleVNRequest); var data = NSData.FromArray(bytes); var handler = new VNImageRequestHandler(data, ImageIO.CGImagePropertyOrientation.Up, new VNImageOptions()); handler.Perform(new[] { classificationRequest }, out error); }
MLModel LoadModel(string modelName) { NSBundle bundle = NSBundle.MainBundle; var assetPath = bundle.GetUrlForResource(modelName, "mlmodelc"); NSError err; var mdl = MLModel.Create(assetPath, out err); if (err != null) { Console.WriteLine("LoadModel Error: {0}", err); } return(mdl); }
public override void ViewDidLoad() { base.ViewDidLoad(); BuildUI(); // Load the ML model var bundle = NSBundle.MainBundle; var assetPath = bundle.GetUrlForResource("MarsHabitatPricer", "mlmodelc"); NSError mlErr; model = MLModel.Create(assetPath, out mlErr); updatePredictedPrice(); }
public static FreeSoundsPlusModel25 Create(MLModelConfiguration configuration, out NSError error) { if (configuration == null) { throw new ArgumentNullException(nameof(configuration)); } var model = MLModel.Create(GetModelUrl(), configuration, out error); if (model == null) { return(null); } return(new FreeSoundsPlusModel25(model)); }
public static FreeSoundsPlusModel25 Create(NSUrl url, out NSError error) { if (url == null) { throw new ArgumentNullException(nameof(url)); } var model = MLModel.Create(url, out error); if (model == null) { return(null); } return(new FreeSoundsPlusModel25(model)); }