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Program.cs
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Program.cs
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//
// Copyright (c) Microsoft. All rights reserved.
// Licensed under the MIT license.
//
// Microsoft Cognitive Services: http://www.microsoft.com/cognitive
//
// Microsoft Cognitive Services Github:
// https://github.com/Microsoft/Cognitive
//
// Copyright (c) Microsoft Corporation
// All rights reserved.
//
// MIT License:
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the
// "Software"), to deal in the Software without restriction, including
// without limitation the rights to use, copy, modify, merge, publish,
// distribute, sublicense, and/or sell copies of the Software, and to
// permit persons to whom the Software is furnished to do so, subject to
// the following conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED ""AS IS"", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
// LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
// OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
using System;
using System.Linq;
using System.Net;
using Microsoft.Azure.CognitiveServices.Vision.Face;
using Microsoft.Azure.CognitiveServices.Vision.Face.Models;
using VideoFrameAnalyzer;
namespace BasicConsoleSample
{
internal class Program
{
//const string ApiKey = "<your API key>";
//const string Endpoint = "https://westus.api.cognitive.microsoft.com";
const string ApiKey = "eb0380ed7781462aaf0343b2e4b568f2";
//const string ApiKey = "85cd1a634d94423680d341a0146d3993";
const string Endpoint = "https://faceontest.cognitiveservices.azure.com";
private static void Main(string[] args)
{
ServicePointManager.SecurityProtocol = SecurityProtocolType.Tls12;
// Create grabber.
FrameGrabber<DetectedFace[]> grabber = new FrameGrabber<DetectedFace[]>();
// Create Face API Client.
FaceClient faceClient = new FaceClient(new ApiKeyServiceClientCredentials(ApiKey))
{
Endpoint = Endpoint
};
// Set up a listener for when we acquire a new frame.
grabber.NewFrameProvided += (s, e) =>
{
Console.WriteLine($"New frame acquired at {e.Frame.Metadata.Timestamp}");
};
// Set up Face API call.
grabber.AnalysisFunction = async frame =>
{
Console.WriteLine($"Submitting frame acquired at {frame.Metadata.Timestamp}");
// Encode image and submit to Face API.
var image = frame.Image.ToMemoryStream(".jpg");
return (await faceClient.Face.DetectWithStreamAsync(image, returnFaceId: false)).ToArray();
};
// Set up a listener for when we receive a new result from an API call.
grabber.NewResultAvailable += (s, e) =>
{
if (e.TimedOut)
Console.WriteLine("API call timed out.");
else if (e.Exception != null)
Console.WriteLine($"API call threw an exception: {e.Exception}");
else
Console.WriteLine($"New result received for frame acquired at {e.Frame.Metadata.Timestamp}. {e.Analysis.Length} faces detected");
};
// Tell grabber when to call API.
// See also TriggerAnalysisOnPredicate
grabber.TriggerAnalysisOnInterval(TimeSpan.FromMilliseconds(3000));
// Start running in the background.
grabber.StartProcessingCameraAsync().Wait();
// Wait for keypress to stop
Console.WriteLine("Press any key to stop...");
Console.ReadKey();
// Stop, blocking until done.
grabber.StopProcessingAsync().Wait();
}
}
}