public IActionResult CaptureImage(IFormFile file)
{
if (file == null)
{
return(Json(new
{
Status = 0
}));
}
byte[] imageBytes = null;
using (var ms = new MemoryStream())
{
file.CopyTo(ms);
imageBytes = ms.ToArray();
}
Image image5 = Image.FromBytes(imageBytes);
ImageAnnotatorClient client = ImageAnnotatorClient.Create();
IReadOnlyList <EntityAnnotation> labels = client.DetectLabels(image5);
client.DetectFaces(image5);
var faceAttributeList = new List <FaceAttribute>();
foreach (EntityAnnotation label in labels)
{
faceAttributeList.Add(new FaceAttribute()
{
Score = ((int)(label.Score * 100)).ToString(),
Description = label.Description
});;
// Console.WriteLine($"Score: {(int)(label.Score * 100)}%; Description: {label.Description}");
}
IReadOnlyList <FaceAnnotation> faceAnnotations = client.DetectFaces(image5);
IReadOnlyList <EntityAnnotation> texts = client.DetectText(image5);
var textList = new List <FaceAttribute>();
foreach (EntityAnnotation label in texts)
{
textList.Add(new FaceAttribute()
{
Score = ((int)(label.Score * 100)).ToString(),
Description = label.Description
});;
}
SafeSearchAnnotation searchAnnotations = client.DetectSafeSearch(image5);
return(Json(new FaceResponse()
{
labels = faceAttributeList, faceAnnotations = faceAnnotations, texts = textList, searchAnnotations = searchAnnotations
}));
}
public ActionResult Capture(string base64String)
{
byte[] imageBytes = null;
if (!string.IsNullOrEmpty(base64String))
{
var imageParts = base64String.Split(',').ToList <string>();
imageBytes = Convert.FromBase64String(imageParts[1]);
}
Image image5 = Image.FromBytes(imageBytes);
ImageAnnotatorClient client = ImageAnnotatorClient.Create();
IReadOnlyList <EntityAnnotation> labels = client.DetectLabels(image5);
client.DetectFaces(image5);
var faceAttributeList = new List <FaceAttribute>();
foreach (EntityAnnotation label in labels)
{
faceAttributeList.Add(new FaceAttribute()
{
Score = ((int)(label.Score * 100)).ToString(),
Description = label.Description
});;
// Console.WriteLine($"Score: {(int)(label.Score * 100)}%; Description: {label.Description}");
}
IReadOnlyList <FaceAnnotation> faceAnnotations = client.DetectFaces(image5);
IReadOnlyList <EntityAnnotation> texts = client.DetectText(image5);
var textList = new List <FaceAttribute>();
foreach (EntityAnnotation label in texts)
{
textList.Add(new FaceAttribute()
{
Score = ((int)(label.Score * 100)).ToString(),
Description = label.Description
});;
}
SafeSearchAnnotation searchAnnotations = client.DetectSafeSearch(image5);
return(Json(new FaceResponse()
{
labels = faceAttributeList, faceAnnotations = faceAnnotations, texts = textList, searchAnnotations = searchAnnotations
}));
}
public void DetectSafeSearch()
{
Image image = LoadResourceImage("SchmidtBrinPage.jpg");
// Snippet: DetectSafeSearch
ImageAnnotatorClient client = ImageAnnotatorClient.Create();
SafeSearchAnnotation annotation = client.DetectSafeSearch(image);
// Each category is classified as Very Unlikely, Unlikely, Possible, Likely or Very Likely.
Console.WriteLine($"Adult? {annotation.Adult}");
Console.WriteLine($"Spoof? {annotation.Spoof}");
Console.WriteLine($"Violence? {annotation.Violence}");
Console.WriteLine($"Medical? {annotation.Medical}");
// End snippet
Assert.InRange(annotation.Adult, Likelihood.VeryUnlikely, Likelihood.Unlikely);
Assert.InRange(annotation.Spoof, Likelihood.VeryUnlikely, Likelihood.Unlikely);
Assert.InRange(annotation.Violence, Likelihood.VeryUnlikely, Likelihood.Unlikely);
Assert.InRange(annotation.Medical, Likelihood.VeryUnlikely, Likelihood.Unlikely);
}
private Media AnalyseImage(ImageAnnotatorClient client, Media media, string imagePath)
{
var image = Image.FromFile(imagePath);
var safeSearch = client.DetectSafeSearch(image);
if (safeSearch.Adult == Likelihood.Likely || safeSearch.Adult == Likelihood.VeryLikely ||
safeSearch.Violence == Likelihood.Likely || safeSearch.Violence == Likelihood.VeryLikely)
{
return(null);
}
var newMedia = media;
newMedia.Status = MediaStatus.Approved;
var colorList = this.AnalyseColors(client, image);
var facesList = this.AnalyseFaces(client, image);
var labelsList = this.AnalyseLabels(client, image);
if (colorList.Any())
{
newMedia.Properties.AddRange(colorList);
}
if (facesList.Any())
{
newMedia.Properties.AddRange(facesList);
}
if (labelsList.Any())
{
newMedia.Properties.AddRange(labelsList);
}
return(newMedia);
}