/// <summary> /// Returns prediction or null if an error occurs. /// </summary> public virtual string Predict(string thumbnailUrl) { Logger.Log($"Making a prediction of {CustomVisionModelName} for: " + thumbnailUrl); predictionApi = new CustomVisionPredictionClient() { ApiKey = CustomVisionKey, Endpoint = CustomVisionEndPoint }; try { PredictionModels.ImageUrl thumbnail = new PredictionModels.ImageUrl(CropThumbnailUrl + thumbnailUrl); var result = predictionApi.ClassifyImageUrl(ProjectId, CustomVisionModelName, thumbnail); //LogPredicitions(result.Predictions); return(GetHighestRankedPrediction(result.Predictions)); } catch (PredictionModels.CustomVisionErrorException e) { Logger.Log($"Error making prediction for {thumbnailUrl}\n\t" + e.Response.Content, e); return(null); } }
public static bool CheckGarbage(String link) //Give a link to image file { string predictionKey = EcoHunt.API_Keys.AzurePredictionKey; string endpoint = EcoHunt.API_Keys.AzureEndpoint; string name = EcoHunt.API_Keys.AzurepublishedName; string projectId = EcoHunt.API_Keys.AzureProjectID; CustomVisionPredictionClient predictionAPI = new CustomVisionPredictionClient() { ApiKey = predictionKey, Endpoint = endpoint }; var uri = new Uri(link); var imageUrl = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(link); var result = predictionAPI.ClassifyImageUrl(new Guid(projectId), name, imageUrl); var s = result.Predictions; var x = s[0].TagName; // Loop over each prediction and write out the results if (result.Predictions[0].TagName.Equals("Garbage")) { return(true); } return(false); }
private void predictImage() { CustomVisionPredictionClient predictionApi = AuthenticatePrediction(endpoint, predictionKey); Console.WriteLine("Making a prediction:"); Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl url = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(TextBox1.Text); System.Guid guid = new Guid(projekctId); var result = predictionApi.ClassifyImageUrl(guid, publishedModelName, url); foreach (var c in result.Predictions) { Label1.Text = Label1.Text + c.TagName + ": " + c.Probability + " "; } }
public static void PerformPrediction(CustomVisionPredictionClient client, string imageUrl, Guid projectId, string publishedName) { var url = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(imageUrl); Console.WriteLine("Making a prediction:"); var result = client.ClassifyImageUrl(projectId, publishedName, url); // Loop over each prediction and write out the results foreach (var c in result.Predictions) { Console.WriteLine($"\t{c.TagName}: {c.Probability:P1}"); } Console.ReadKey(); }
static void Main(string[] args) { const string PREDICTION_KEY = "PONER AQUI LA CLAVE"; const string ENDPOINT = "PONER AQUI LA URL DEL ENDPOINT"; const string PROJECT_ID = "PONER AQUI EL ID DEL PROYECTO"; const string PUBLISHED_NAME = "PONER AQUI EL NOMBRE DE LA ITERACION"; const string IMAGE_BASE_URL = "https://moderatorsampleimages.blob.core.windows.net/samples"; CustomVisionPredictionClient client = new CustomVisionPredictionClient(new ApiKeyServiceClientCredentials(PREDICTION_KEY)) { Endpoint = ENDPOINT }; ImageUrl imagen = new ImageUrl($"{IMAGE_BASE_URL}/sample8.png"); //Invocamos el método de la API para clasificar la imagen ImagePrediction resultado = client.ClassifyImageUrl(new Guid(PROJECT_ID), PUBLISHED_NAME, imagen); //Procesamos el resultado foreach (var c in resultado.Predictions) { Console.WriteLine($"\t{c.TagName}:{c.Probability}"); } }
public IList <Result> predictingImages(String imgUrl) { IList <Result> predictionResult = new List <Result>(); CustomVisionPredictionClient endpoint = new CustomVisionPredictionClient() { ApiKey = predictionKey, Endpoint = SouthCentralUsEndpoint }; projectID = new Guid(ConfigurationManager.AppSettings["CustomVisionProjectID"]); Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl testImage = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(imgUrl); Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImagePrediction result1 = endpoint.ClassifyImageUrl(projectID, "Veg Classifier", testImage); foreach (var output in result1.Predictions) { Result finalresult = new Result(); finalresult.probability = output.Probability * 100; finalresult.tagName = output.TagName; predictionResult.Add(finalresult); } return(predictionResult); }