After you’ve trained an object detection model, you can use the Azure AI Custom Vision SDK to develop a client application that submits new images to be analyzed.
C#Copy
using System;
using System.IO;
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction;
// Authenticate a client for the prediction API
CustomVisionPredictionClient prediction_client = new CustomVisionPredictionClient(new ApiKeyServiceClientCredentials("<YOUR_PREDICTION_RESOURCE_KEY>"))
{
Endpoint = "<YOUR_PREDICTION_RESOURCE_ENDPOINT>"
};
// Get classification predictions for an image
MemoryStream image_data = new MemoryStream(File.ReadAllBytes("<PATH_TO_IMAGE_FILE>"));
var result = prediction_client.DetectImage("<YOUR_PROJECT_ID>",
"<YOUR_PUBLISHED_MODEL_NAME>",
image_data);
// Process predictions
foreach (var prediction in result.Predictions)
{
if (prediction.Probability > 0.5)
{
var left = prediction.BoundingBox.Left;
var top = prediction.BoundingBox.Top;
var height = prediction.BoundingBox.Height;
var width = prediction.BoundingBox.Width;
Console.WriteLine($"{prediction.TagName} ({prediction.Probability})");
Console.WriteLine($" Left:{left}, Top:{top}, Height:{height}, Width:{width}");
}
}
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