Azure Cognitive Services Samples

A simple .NET Core 2.0 (c# v7.1) code sample to invoke Azure's Custom Vision Service Prediction API using Refit

Getting started

Visual Studio 2017 (v15.3.3), .NET Core 2.0 installed
Head to the Custom Vision Service quickstarts and follow the basic steps to build a classifier that you'd like.
Get your Prediction API Host and Key in https://customvision.ai > Performance > Prediction URL
In the repo source, replace YOUR-PREDICTION-API-BASE-HOST in Program.cs with the Base API Host

class Program
    {
        static async Task Main(string[] args)
        {
            if (args.Length == 0)
            {
                return;
            }

            string imageUrl = args[0];
            var data = new Dictionary<string, object> { { "url", imageUrl }, };

            // Example: "https://southcentralus.api.cognitive.microsoft.com/customvision"
            var customVisionPredictionApi = RestService.For<ICustomVisionPredictionApi>("<YOUR-PREDICTION-API-BASE-HOST>");
            var result = await customVisionPredictionApi.PredictImageByUrlAsync(data);

            Console.WriteLine($"Project: {result.Project}, Id: {result.Id}, Created: {result.Created}, Iteration: {result.Iteration}");

            foreach (var prediction in result.Predictions)
            {
                Console.WriteLine($"Tag Id: {prediction.TagId}, Tag: {prediction.Tag}, Probability: {prediction.Probability}");
            }

            Console.ReadKey();
        }
    }

And replace YOUR-PREDICTION-API-RESOURCE-ENDPOINT and YOUR-PREDICTION-KEY in ICustomVisionPredictionApi.cs

    public interface ICustomVisionPredictionApi
    {
        // Example: [Post("/v1.0/Prediction/ff76e214-c6ab-4eb2-bb2c-d34c3ca65bcc/url")]
        [Post("<YOUR-PREDICTION-API-RESOURCE-ENDPOINT>")]

        // Example: [Headers("Prediction-Key: a63298872abc4e7deabcd78beec819a2", "Content-Type: application/json; charset=UTF-8")]
        [Headers("Prediction-Key: <YOUR-PREDICTION-KEY>", "Content-Type: application/json; charset=UTF-8")]

        Task<PredictionResponse> PredictImageByUrlAsync([Body(BodySerializationMethod.Json)] Dictionary<string, object> content);
    }

Go to the command line, to the directory where you cloned the repo:

> dotnet restore
> dotnet build src/CognitiveServicesSamples.sln
> dotnet run --project src/CustomVision/CustomVision.csproj https://website-example.com/images/image.jpg

And enjoy the console output (should be something like this):

Project: ed6edb1d-335b-486c-9404-64e5e0fdf319, Id: cbf78812-cbdc-48e4-bbf2-49e5b6a835fe, Created: 4-9-2017 14:28:32, Iteration: b82b484d-d62d-4932-b10a-f2e12966ad74
Tag Id: 2da388ba-1f63-4e5f-9e23-c5ed9c05bdce, Tag: 1040, Probability: 0,9996263
Tag Id: 3634a6bc-58b3-4be1-83b9-9de1654f4841, Tag: 1099, Probability: 2,27343E-14

CarlosSardo/CognitiveServicesSamples

Azure Cognitive Services Samples

Getting started