public async Task <ImageAnalysis> GetImageAnalysis(string imageUrl)
{
var analyzeImageModel = new AnalyzeImageModel();
// Creating a list that defines the features to be extracted from the image.
List <VisualFeatureTypes?> features = new List <VisualFeatureTypes?>()
{
VisualFeatureTypes.Categories, VisualFeatureTypes.Description,
VisualFeatureTypes.Faces, VisualFeatureTypes.ImageType,
VisualFeatureTypes.Tags, VisualFeatureTypes.Adult,
VisualFeatureTypes.Color, VisualFeatureTypes.Brands,
VisualFeatureTypes.Objects
};
ImageAnalysis results = await _computerVisionClient.AnalyzeImageAsync(imageUrl, features);
return(results);
}
public async Task <AnalyzeImageModel> GetImageAnalysisCustomModel(string imageUrl)
{
var analyzeImageModel = new AnalyzeImageModel();
// Creating a list that defines the features to be extracted from the image.
List <VisualFeatureTypes?> features = new List <VisualFeatureTypes?>()
{
VisualFeatureTypes.Categories, VisualFeatureTypes.Description,
VisualFeatureTypes.Faces, VisualFeatureTypes.ImageType,
VisualFeatureTypes.Tags, VisualFeatureTypes.Adult,
VisualFeatureTypes.Color, VisualFeatureTypes.Brands,
VisualFeatureTypes.Objects
};
ImageAnalysis results = await _computerVisionClient.AnalyzeImageAsync(imageUrl, features);
// </snippet_analyze_call>
// <snippet_describe>
// Sunmarizes the image content.
foreach (var caption in results.Description.Captions)
{
var item = new Summary()
{
Name = caption.Text,
Confidence = caption.Confidence
};
analyzeImageModel.Summary.Add(item);
}
// </snippet_describe>
// <snippet_categorize>
// Display categories the image is divided into.
foreach (var category in results.Categories)
{
var item = new Category()
{
Name = category.Name,
Confidence = category.Score
};
analyzeImageModel.Categories.Add(item);
}
// </snippet_categorize>
// <snippet_tags>
// Image tags and their confidence score
foreach (var tag in results.Tags)
{
var item = new Tag()
{
Name = tag.Name,
Confidence = tag.Confidence
};
analyzeImageModel.Tags.Add(item);
}
// </snippet_tags>
// <snippet_objects>
// Objects
foreach (var obj in results.Objects)
{
var item = new ImageObject()
{
Name = obj.ObjectProperty,
Confidence = obj.Confidence,
LocationX1 = obj.Rectangle.X,
LocationX2 = obj.Rectangle.X + obj.Rectangle.W,
LocationY1 = obj.Rectangle.Y,
LocationY2 = obj.Rectangle.Y + obj.Rectangle.H
};
analyzeImageModel.Objects.Add(item);
}
// </snippet_objects>
// <snippet_faces>
// Faces
foreach (var face in results.Faces)
{
var item = new Face()
{
Gender = face.Gender.HasValue ? face.Gender.Value.ToString() : string.Empty,
Age = face.Age,
LocationX1 = face.FaceRectangle.Left,
LocationX2 = face.FaceRectangle.Left,
LocationY1 = face.FaceRectangle.Top + face.FaceRectangle.Width,
LocationY2 = face.FaceRectangle.Top + face.FaceRectangle.Height
};
analyzeImageModel.Faces.Add(item);
}
// </snippet_faces>
// <snippet_adult>
// Adult or racy content, if any.
Console.WriteLine("Adult:");
if (results.Adult != null)
{
var adult = new Adult()
{
IsAdultContent = results.Adult.IsAdultContent,
AdultScore = results.Adult.AdultScore,
IsRacyContent = results.Adult.IsRacyContent,
RacyScore = results.Adult.RacyScore
};
analyzeImageModel.Adult = adult;
}
// </snippet_adult>
// <snippet_brands>
// Well-known (or custom, if set) brands.
foreach (var brand in results.Brands)
{
var item = new Brand()
{
Name = brand.Name,
Confidence = brand.Confidence,
LocationX1 = brand.Rectangle.X,
LocationX2 = brand.Rectangle.X + brand.Rectangle.W,
LocationY1 = brand.Rectangle.Y,
LocationY2 = brand.Rectangle.Y + brand.Rectangle.H
};
analyzeImageModel.Brands.Add(item);
}
// </snippet_brands>
// <snippet_celebs>
// Celebrities in image, if any.
foreach (var category in results.Categories)
{
if (category.Detail?.Celebrities != null)
{
foreach (var celeb in category.Detail.Celebrities)
{
var item = new Celebrity()
{
Name = celeb.Name,
Confidence = celeb.Confidence,
LocationX1 = celeb.FaceRectangle.Left,
LocationX2 = celeb.FaceRectangle.Top,
LocationY1 = celeb.FaceRectangle.Height,
LocationY2 = celeb.FaceRectangle.Width
};
analyzeImageModel.Celebrities.Add(item);
}
}
}
// </snippet_celebs>
// <snippet_landmarks>
// Popular landmarks in image, if any.
foreach (var category in results.Categories)
{
if (category.Detail?.Landmarks != null)
{
foreach (var landmark in category.Detail.Landmarks)
{
var item = new Landmark()
{
Name = landmark.Name,
Confidence = landmark.Confidence,
};
analyzeImageModel.Landmarks.Add(item);
}
}
}
// </snippet_landmarks>
// <snippet_color>
// Identifies the color scheme.
if (results.Color != null)
{
var color = new ImageColor()
{
IsBWImg = results.Color.IsBWImg,
AccentColor = results.Color.AccentColor,
DominantColorBackground = results.Color.DominantColorBackground,
DominantColorForeground = results.Color.DominantColorForeground,
DominantColors = string.Join(",", results.Color.DominantColors)
};
analyzeImageModel.Color = color;
}
// </snippet_color>
// <snippet_type>
// Detects the image types.
if (results.ImageType != null)
{
var imagetype = new Model.ImageType()
{
ClipArtType = results.ImageType.ClipArtType,
LineDrawingType = results.ImageType.LineDrawingType
};
analyzeImageModel.ImageType = imagetype;
}
// </snippet_type>
return(analyzeImageModel);
}