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ImageProcessor.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 Microsoft.Azure.CognitiveServices.Vision.ComputerVision.Models;
using ServiceHelpers;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Threading.Tasks;
namespace IntelligentKioskSample.Views.ImageCollectionInsights
{
public class ImageProcessor
{
private static readonly List<VisualFeatureTypes> DefaultVisualFeatureTypes = new List<VisualFeatureTypes>
{
VisualFeatureTypes.Tags,
VisualFeatureTypes.Description
};
public static async Task<ImageInsights> ProcessImageAsync(Func<Task<Stream>> imageStream, string imageId)
{
ImageAnalyzer analyzer = new ImageAnalyzer(imageStream);
analyzer.ShowDialogOnFaceApiErrors = true;
// trigger vision, face and emotion requests
await Task.WhenAll(analyzer.AnalyzeImageAsync(null, visualFeatures: DefaultVisualFeatureTypes), analyzer.DetectFacesAsync(detectFaceAttributes: true));
// trigger face match against previously seen faces
await analyzer.FindSimilarPersistedFacesAsync();
ImageInsights result = new ImageInsights { ImageId = imageId };
// assign computer vision results
result.VisionInsights = new VisionInsights
{
Caption = analyzer.AnalysisResult.Description?.Captions.FirstOrDefault()?.Text,
Tags = analyzer.AnalysisResult.Tags != null ? analyzer.AnalysisResult.Tags.Select(t => t.Name).ToArray() : new string[0]
};
// assign face api and emotion api results
List<FaceInsights> faceInsightsList = new List<FaceInsights>();
foreach (var face in analyzer.DetectedFaces)
{
FaceInsights faceInsights = new FaceInsights
{
FaceRectangle = face.FaceRectangle,
Age = face.FaceAttributes.Age.GetValueOrDefault(),
Gender = face.FaceAttributes.Gender?.ToString() ?? string.Empty,
TopEmotion = Util.EmotionToRankedList(face.FaceAttributes.Emotion).First().Key
};
SimilarFaceMatch similarFaceMatch = analyzer.SimilarFaceMatches.FirstOrDefault(s => s.Face.FaceId == face.FaceId);
if (similarFaceMatch != null)
{
faceInsights.UniqueFaceId = similarFaceMatch.SimilarPersistedFace.PersistedFaceId.GetValueOrDefault();
}
faceInsightsList.Add(faceInsights);
}
result.FaceInsights = faceInsightsList.ToArray();
return result;
}
}
}