/// <summary>
/// Gets the hair.
/// </summary>
/// <param name="hair">The hair.</param>
/// <returns></returns>
private string GetHair(Hair hair)
{
if (hair.HairColor.Length == 0)
{
if (hair.Invisible)
{
return("Invisible");
}
else
{
return("Bald");
}
}
else
{
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
for (int i = 0; i < hair.HairColor.Length; ++i)
{
if (hair.HairColor[i].Confidence > maxConfidence)
{
maxConfidence = hair.HairColor[i].Confidence;
returnColor = hair.HairColor[i].Color;
}
}
return(returnColor.ToString());
}
}
private static string GetHair(Hair hair)
{
if (hair.HairColor.Count == 0)
{
return(hair.Invisible ? "Invisible" : "Bald");
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence;
returnColor = hairColor.Color;
}
return(returnColor.ToString());
}
/*
* Detect faces from URL images
*/
public static async Task DetectFaceExtract(IFaceClient client, string recognitionModel)
{
Console.WriteLine("========Sample of face detection========");
// Create a list of images
const string IMAGE_BASE_URL = "https://csdx.blob.core.windows.net/resources/Face/Images/";
List <string> imageFileNames = new List <string>
{
"detection1.jpg", // single female with glasses
// "detection2.jpg", // (optional: single man)
// "detection3.jpg", // (optional: single male construction worker)
// "detection4.jpg", // (optional: 3 people at cafe, 1 is blurred)
"detection5.jpg", // black family, woman child man
"detection6.jpg" // elderly couple, male female
};
foreach (var imageFileName in imageFileNames)
{
IList <DetectedFace> detectedFaces;
// Detect faces with all attributes from image url.
detectedFaces = await client.Face.DetectWithUrlAsync($"{IMAGE_BASE_URL}{imageFileName}",
returnFaceAttributes : new List <FaceAttributeType> {
FaceAttributeType.Accessories, FaceAttributeType.Age,
FaceAttributeType.Blur, FaceAttributeType.Emotion, FaceAttributeType.Exposure, FaceAttributeType.FacialHair,
FaceAttributeType.Gender, FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.HeadPose,
FaceAttributeType.Makeup, FaceAttributeType.Noise, FaceAttributeType.Occlusion, FaceAttributeType.Smile
},
recognitionModel : recognitionModel);
Console.WriteLine($"{detectedFaces.Count} face(s) detected from image `{imageFileName}`.");
// Parse and print all attributes of each detected face.
foreach (var face in detectedFaces)
{
Console.WriteLine($"Face attributes for {imageFileName}:");
// Get bounding box of the faces
Console.WriteLine($"Rectangle(Left/Top/Width/Height) : {face.FaceRectangle.Left} {face.FaceRectangle.Top} {face.FaceRectangle.Width} {face.FaceRectangle.Height}");
// Get accessories of the faces
List <Accessory> accessoriesList = (List <Accessory>)face.FaceAttributes.Accessories;
int count = face.FaceAttributes.Accessories.Count;
string accessory; string[] accessoryArray = new string[count];
if (count == 0)
{
accessory = "NoAccessories";
}
else
{
for (int i = 0; i < count; ++i)
{
accessoryArray[i] = accessoriesList[i].Type.ToString();
}
accessory = string.Join(",", accessoryArray);
}
Console.WriteLine($"Accessories : {accessory}");
// Get face other attributes
Console.WriteLine($"Age : {face.FaceAttributes.Age}");
Console.WriteLine($"Blur : {face.FaceAttributes.Blur.BlurLevel}");
// Get emotion on the face
string emotionType = string.Empty;
double emotionValue = 0.0;
Emotion emotion = face.FaceAttributes.Emotion;
if (emotion.Anger > emotionValue)
{
emotionValue = emotion.Anger; emotionType = "Anger";
}
if (emotion.Contempt > emotionValue)
{
emotionValue = emotion.Contempt; emotionType = "Contempt";
}
if (emotion.Disgust > emotionValue)
{
emotionValue = emotion.Disgust; emotionType = "Disgust";
}
if (emotion.Fear > emotionValue)
{
emotionValue = emotion.Fear; emotionType = "Fear";
}
if (emotion.Happiness > emotionValue)
{
emotionValue = emotion.Happiness; emotionType = "Happiness";
}
if (emotion.Neutral > emotionValue)
{
emotionValue = emotion.Neutral; emotionType = "Neutral";
}
if (emotion.Sadness > emotionValue)
{
emotionValue = emotion.Sadness; emotionType = "Sadness";
}
if (emotion.Surprise > emotionValue)
{
emotionType = "Surprise";
}
Console.WriteLine($"Emotion : {emotionType}");
// Get more face attributes
Console.WriteLine($"Exposure : {face.FaceAttributes.Exposure.ExposureLevel}");
Console.WriteLine($"FacialHair : {string.Format("{0}", face.FaceAttributes.FacialHair.Moustache + face.FaceAttributes.FacialHair.Beard + face.FaceAttributes.FacialHair.Sideburns > 0 ? "Yes" : "No")}");
Console.WriteLine($"Gender : {face.FaceAttributes.Gender}");
Console.WriteLine($"Glasses : {face.FaceAttributes.Glasses}");
// Get hair color
Hair hair = face.FaceAttributes.Hair;
string color = null;
if (hair.HairColor.Count == 0)
{
if (hair.Invisible)
{
color = "Invisible";
}
else
{
color = "Bald";
}
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence; returnColor = hairColor.Color; color = returnColor.ToString();
}
Console.WriteLine($"Hair : {color}");
// Get more attributes
Console.WriteLine($"HeadPose : {string.Format("Pitch: {0}, Roll: {1}, Yaw: {2}", Math.Round(face.FaceAttributes.HeadPose.Pitch, 2), Math.Round(face.FaceAttributes.HeadPose.Roll, 2), Math.Round(face.FaceAttributes.HeadPose.Yaw, 2))}");
Console.WriteLine($"Makeup : {string.Format("{0}", (face.FaceAttributes.Makeup.EyeMakeup || face.FaceAttributes.Makeup.LipMakeup) ? "Yes" : "No")}");
Console.WriteLine($"Noise : {face.FaceAttributes.Noise.NoiseLevel}");
Console.WriteLine($"Occlusion : {string.Format("EyeOccluded: {0}", face.FaceAttributes.Occlusion.EyeOccluded ? "Yes" : "No")} " +
$" {string.Format("ForeheadOccluded: {0}", face.FaceAttributes.Occlusion.ForeheadOccluded ? "Yes" : "No")} {string.Format("MouthOccluded: {0}", face.FaceAttributes.Occlusion.MouthOccluded ? "Yes" : "No")}");
Console.WriteLine($"Smile : {face.FaceAttributes.Smile}");
Console.WriteLine();
}
}
}
public static async Task DetectFaceExtract()
{
Console.WriteLine("========DETECT FACES========");
Console.WriteLine();
var client = AuthenticateService.AuthenticateFaceClient();
// Create a list of images
string[] filePaths = Directory.GetFiles(@"D:\Work\Mimobod\dir_001",
"*", SearchOption.AllDirectories);
foreach (var filePath in filePaths)
{
try
{
byte[] byteData = ParserService.GetImageAsByteArray(filePath);
using (var stream = new MemoryStream(byteData))
{
IList <DetectedFace> detectedFaces;
// Detect faces with all attributes from image url.
detectedFaces = await client.Face.DetectWithStreamAsync(stream,
returnFaceAttributes : new List <FaceAttributeType>
{
FaceAttributeType.Accessories, FaceAttributeType.Age,
FaceAttributeType.Emotion, FaceAttributeType.FacialHair,
FaceAttributeType.Gender, FaceAttributeType.Glasses, FaceAttributeType.Hair,
FaceAttributeType.Makeup, FaceAttributeType.Smile
});
Console.WriteLine($"{detectedFaces.Count} face(s) detected from image `{filePath}`.");
if (detectedFaces.Count > 0)
{
var imageIndsex = DbService.SaveImage(byteData);
// Parse and print all attributes of each detected face.
var faceNumber = 1;
foreach (var face in detectedFaces)
{
// Get accessories of the faces
List <Accessory> accessoriesList = (List <Accessory>)face.FaceAttributes.Accessories;
int count = face.FaceAttributes.Accessories.Count;
string accessory; string[] accessoryArray = new string[count];
if (count == 0)
{
accessory = "NoAccessories";
}
else
{
for (int i = 0; i < count; ++i)
{
accessoryArray[i] = accessoriesList[i].Type.ToString();
}
accessory = string.Join(",", accessoryArray);
}
// Get emotion on the face
string emotionType = string.Empty;
double emotionValue = 0.0;
Emotion emotion = face.FaceAttributes.Emotion;
if (emotion.Anger > emotionValue)
{
emotionValue = emotion.Anger; emotionType = "Anger";
}
if (emotion.Contempt > emotionValue)
{
emotionValue = emotion.Contempt; emotionType = "Contempt";
}
if (emotion.Disgust > emotionValue)
{
emotionValue = emotion.Disgust; emotionType = "Disgust";
}
if (emotion.Fear > emotionValue)
{
emotionValue = emotion.Fear; emotionType = "Fear";
}
if (emotion.Happiness > emotionValue)
{
emotionValue = emotion.Happiness; emotionType = "Happiness";
}
if (emotion.Neutral > emotionValue)
{
emotionValue = emotion.Neutral; emotionType = "Neutral";
}
if (emotion.Sadness > emotionValue)
{
emotionValue = emotion.Sadness; emotionType = "Sadness";
}
if (emotion.Surprise > emotionValue)
{
emotionType = "Surprise";
}
// Get more face attributes
var facialHair = string.Format("{0}", face.FaceAttributes.FacialHair.Moustache + face.FaceAttributes.FacialHair.Beard + face.FaceAttributes.FacialHair.Sideburns > 0 ? "Yes" : "No");
// Get hair color
Hair hair = face.FaceAttributes.Hair;
string color = null;
if (hair.HairColor.Count == 0)
{
if (hair.Invisible)
{
color = "Invisible";
}
else
{
color = "Bald";
}
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence; returnColor = hairColor.Color; color = returnColor.ToString();
}
DbService.SaveToDatabase(
imageIndsex,
accessory,
face.FaceAttributes.Age,
emotionType,
facialHair,
(int)face.FaceAttributes.Gender,
(int)face.FaceAttributes.Glasses,
color,
face.FaceAttributes.Smile,
faceNumber);
faceNumber++;
}
}
}
}
catch (Exception)
{
Console.WriteLine("----------------------------------------------------------");
}
}
}
//authenticate the key
//detection model one
public static async Task DetectFaceExtract(IFaceClient client, string url, string recognitionModel)
{
Console.WriteLine("======== DETECT FACE ========\n======== Detection Mode 1 ======== ");
Console.WriteLine();
IList <DetectedFace> detectedFaces;
detectedFaces = await client.Face.DetectWithUrlAsync(url,
returnFaceAttributes : new List <FaceAttributeType?> {
FaceAttributeType.Accessories, FaceAttributeType.Age,
FaceAttributeType.Blur, FaceAttributeType.Emotion, FaceAttributeType.Exposure, FaceAttributeType.FacialHair,
FaceAttributeType.Gender, FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.HeadPose,
FaceAttributeType.Makeup, FaceAttributeType.Noise, FaceAttributeType.Occlusion, FaceAttributeType.Smile
},
// We specify detection model 1 because we are retrieving attributes.
detectionModel : DetectionModel.Detection01,
recognitionModel : recognitionModel);
Console.WriteLine($"{detectedFaces.Count} face detected from the link.");
foreach (var face in detectedFaces)
{
Console.WriteLine($"Face attributes for the link:");
// Get bounding box of the faces
Console.WriteLine($"Rectangle(Left/Top/Width/Height) : {face.FaceRectangle.Left} {face.FaceRectangle.Top} {face.FaceRectangle.Width} {face.FaceRectangle.Height}");
// Get accessories of the faces
List <Accessory> accessoriesList = (List <Accessory>)face.FaceAttributes.Accessories;
int count = face.FaceAttributes.Accessories.Count;
string accessory; string[] accessoryArray = new string[count];
if (count == 0)
{
accessory = "NoAccessories";
}
else
{
for (int i = 0; i < count; ++i)
{
accessoryArray[i] = accessoriesList[i].Type.ToString();
}
accessory = string.Join(",", accessoryArray);
}
Console.WriteLine($"Accessories : {accessory}");
// Get face other attributes
Console.WriteLine($"Age : {face.FaceAttributes.Age}");
Console.WriteLine($"Blur : {face.FaceAttributes.Blur.BlurLevel}");
// Get emotion on the face
string emotionType = string.Empty;
double emotionValue = 0.0;
Emotion emotion = face.FaceAttributes.Emotion;
if (emotion.Anger > emotionValue)
{
emotionValue = emotion.Anger; emotionType = "Anger";
}
if (emotion.Contempt > emotionValue)
{
emotionValue = emotion.Contempt; emotionType = "Contempt";
}
if (emotion.Disgust > emotionValue)
{
emotionValue = emotion.Disgust; emotionType = "Disgust";
}
if (emotion.Fear > emotionValue)
{
emotionValue = emotion.Fear; emotionType = "Fear";
}
if (emotion.Happiness > emotionValue)
{
emotionValue = emotion.Happiness; emotionType = "Happiness";
}
if (emotion.Neutral > emotionValue)
{
emotionValue = emotion.Neutral; emotionType = "Neutral";
}
if (emotion.Sadness > emotionValue)
{
emotionValue = emotion.Sadness; emotionType = "Sadness";
}
if (emotion.Surprise > emotionValue)
{
emotionType = "Surprise";
}
Console.WriteLine($"Emotion : {emotionType}");
// Get more face attributes
Console.WriteLine($"Exposure : {face.FaceAttributes.Exposure.ExposureLevel}");
Console.WriteLine($"FacialHair : {string.Format("{0}", face.FaceAttributes.FacialHair.Moustache + face.FaceAttributes.FacialHair.Beard + face.FaceAttributes.FacialHair.Sideburns > 0 ? "Yes" : "No")}");
Console.WriteLine($"Gender : {face.FaceAttributes.Gender}");
Console.WriteLine($"Glasses : {face.FaceAttributes.Glasses}");
// Get hair color
Hair hair = face.FaceAttributes.Hair;
string color = null;
if (hair.HairColor.Count == 0)
{
if (hair.Invisible)
{
color = "Invisible";
}
else
{
color = "Bald";
}
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence; returnColor = hairColor.Color; color = returnColor.ToString();
}
Console.WriteLine($"Hair : {color}");
// Get more attributes
Console.WriteLine($"HeadPose : {string.Format("Pitch: {0}, Roll: {1}, Yaw: {2}", Math.Round(face.FaceAttributes.HeadPose.Pitch, 2), Math.Round(face.FaceAttributes.HeadPose.Roll, 2), Math.Round(face.FaceAttributes.HeadPose.Yaw, 2))}");
Console.WriteLine($"Makeup : {string.Format("{0}", (face.FaceAttributes.Makeup.EyeMakeup || face.FaceAttributes.Makeup.LipMakeup) ? "Yes" : "No")}");
Console.WriteLine($"Noise : {face.FaceAttributes.Noise.NoiseLevel}");
Console.WriteLine($"Occlusion : {string.Format("EyeOccluded: {0}", face.FaceAttributes.Occlusion.EyeOccluded ? "Yes" : "No")} " +
$" {string.Format("ForeheadOccluded: {0}", face.FaceAttributes.Occlusion.ForeheadOccluded ? "Yes" : "No")} {string.Format("MouthOccluded: {0}", face.FaceAttributes.Occlusion.MouthOccluded ? "Yes" : "No")}");
Console.WriteLine($"Smile : {face.FaceAttributes.Smile}");
Console.WriteLine();
}
}
public static async Task DetectFaceExtract(IFaceClient client, string url, string recognitionModel)
{
List <string> imageFileNames = new List <string>
{
"detection1.jpg" // single female with glasses
//"detection5.jpg", // family, woman child man
//"detection6.jpg" // elderly couple, male female
};
foreach (var imageFileName in imageFileNames)
{
IList <DetectedFace> detectedFaces;
// 取得する画像のurl、ファイル名、その中の情報の指定
// 分析の結果をdetectedFacesに格納
detectedFaces = await client.Face.DetectWithUrlAsync($"{url}{imageFileName}",
returnFaceAttributes : new List <FaceAttributeType?> {
FaceAttributeType.Accessories, FaceAttributeType.Age,
FaceAttributeType.Blur, FaceAttributeType.Emotion, FaceAttributeType.Exposure, FaceAttributeType.FacialHair,
FaceAttributeType.Gender, FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.HeadPose,
FaceAttributeType.Makeup, FaceAttributeType.Noise, FaceAttributeType.Occlusion, FaceAttributeType.Smile
},
// We specify detection model 1 because we are retrieving attributes.
detectionModel : DetectionModel.Detection01, // 分析の方法
recognitionModel : recognitionModel); // 出力の方法
Console.WriteLine($"{detectedFaces.Count} face(s) detected from image `{imageFileName}`.");
foreach (var face in detectedFaces)
{
Console.WriteLine($"Face attributes for {imageFileName}:");
// 顔の向きの表示
Console.WriteLine($"Rectangle(Left/Top/Width/Height) : {face.FaceRectangle.Left} {face.FaceRectangle.Top} {face.FaceRectangle.Width} {face.FaceRectangle.Height}");
// アクセサリーの表示
List <Accessory> accessoriesList = (List <Accessory>)face.FaceAttributes.Accessories;
int count = face.FaceAttributes.Accessories.Count;
string accessory; string[] accessoryArray = new string[count];
if (count == 0)
{
accessory = "NoAccessories";
}
else
{
for (int i = 0; i < count; ++i)
{
accessoryArray[i] = accessoriesList[i].Type.ToString();
}
accessory = string.Join(",", accessoryArray);
}
Console.WriteLine($"Accessories : {accessory}");
// 年齢、画像のぼかし度
Console.WriteLine($"Age : {face.FaceAttributes.Age}");
Console.WriteLine($"Blur : {face.FaceAttributes.Blur.BlurLevel}");
// 表情から感情の分析
string emotionType = string.Empty;
double emotionValue = 0.0;
Emotion emotion = face.FaceAttributes.Emotion;
if (emotion.Anger > emotionValue)
{
emotionValue = emotion.Anger; emotionType = "Anger";
} // 怒り
if (emotion.Contempt > emotionValue)
{
emotionValue = emotion.Contempt; emotionType = "Contempt";
} // 悔しさ
if (emotion.Disgust > emotionValue)
{
emotionValue = emotion.Disgust; emotionType = "Disgust";
} // 嫌悪
if (emotion.Fear > emotionValue)
{
emotionValue = emotion.Fear; emotionType = "Fear";
} // 恐怖
if (emotion.Happiness > emotionValue)
{
emotionValue = emotion.Happiness; emotionType = "Happiness";
} // 喜び
if (emotion.Neutral > emotionValue)
{
emotionValue = emotion.Neutral; emotionType = "Neutral";
} // 無表情
if (emotion.Sadness > emotionValue)
{
emotionValue = emotion.Sadness; emotionType = "Sadness";
} // 悲しみ
if (emotion.Surprise > emotionValue)
{
emotionType = "Surprise";
} // 驚き
Console.WriteLine($"Emotion : {emotionType}"); // 最終的な表情の分析結果
// その他の分析情報１
Console.WriteLine($"Exposure : {face.FaceAttributes.Exposure.ExposureLevel}"); // 露出
Console.WriteLine($"FacialHair : {string.Format("{0}", face.FaceAttributes.FacialHair.Moustache + face.FaceAttributes.FacialHair.Beard + face.FaceAttributes.FacialHair.Sideburns > 0 ? "Yes" : "No")}"); // 髭
Console.WriteLine($"Gender : {face.FaceAttributes.Gender}"); // 性別
Console.WriteLine($"Glasses : {face.FaceAttributes.Glasses}"); // 眼鏡
// 髪の毛の色の表示
Hair hair = face.FaceAttributes.Hair;
string color = null;
if (hair.HairColor.Count == 0)
{
if (hair.Invisible)
{
color = "Invisible";
}
else
{
color = "Bald";
}
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence; returnColor = hairColor.Color; color = returnColor.ToString();
}
Console.WriteLine($"Hair : {color}");
// その他の分析情報２
Console.WriteLine($"HeadPose : {string.Format("Pitch: {0}, Roll: {1}, Yaw: {2}", Math.Round(face.FaceAttributes.HeadPose.Pitch, 2), Math.Round(face.FaceAttributes.HeadPose.Roll, 2), Math.Round(face.FaceAttributes.HeadPose.Yaw, 2))}"); // 顔の角度
Console.WriteLine($"Makeup : {string.Format("{0}", (face.FaceAttributes.Makeup.EyeMakeup || face.FaceAttributes.Makeup.LipMakeup) ? "Yes" : "No")}"); // 化粧
Console.WriteLine($"Noise : {face.FaceAttributes.Noise.NoiseLevel}"); // 粗さ
Console.WriteLine($"Occlusion : {string.Format("EyeOccluded: {0}", face.FaceAttributes.Occlusion.EyeOccluded ? "Yes" : "No")} " +
$" {string.Format("ForeheadOccluded: {0}", face.FaceAttributes.Occlusion.ForeheadOccluded ? "Yes" : "No")} {string.Format("MouthOccluded: {0}", face.FaceAttributes.Occlusion.MouthOccluded ? "Yes" : "No")}"); // 顔の全体の露出度
Console.WriteLine($"Smile : {face.FaceAttributes.Smile}"); // 笑顔かどうか
Console.WriteLine();
}
}
}
public static string GetAttributeText(this DetectedFace face, string headerText = null, bool verbose = true)
{
var resultBuilder = new StringBuilder();
if (headerText != null)
{
Append(resultBuilder, verbose, headerText);
}
// Get bounding box of the faces
if (verbose)
{
Append(resultBuilder, verbose,
$"Rectangle(Left/Top/Width/Height) : {face.FaceRectangle.Left} {face.FaceRectangle.Top} {face.FaceRectangle.Width} {face.FaceRectangle.Height}");
}
// Get accessories of the faces
List <Accessory> accessoriesList = (List <Accessory>)face.FaceAttributes.Accessories;
int count = face.FaceAttributes.Accessories.Count;
string accessory; string[] accessoryArray = new string[count];
if (count == 0)
{
accessory = "NoAccessories";
}
else
{
for (int i = 0; i < count; ++i)
{
accessoryArray[i] = accessoriesList[i].Type.ToString();
}
accessory = string.Join(",", accessoryArray);
}
if (verbose)
{
Append(resultBuilder, verbose, $"Accessories : {accessory}");
}
// Get face other attributes
Append(resultBuilder, verbose, $"Age : {face.FaceAttributes.Age}");
if (verbose)
{
Append(resultBuilder, verbose, $"Blur : {face.FaceAttributes.Blur.BlurLevel}");
}
// Get emotion on the face
string emotionType = string.Empty;
double emotionValue = 0.0;
Emotion emotion = face.FaceAttributes.Emotion;
if (emotion.Anger > emotionValue)
{
emotionValue = emotion.Anger; emotionType = "Anger";
}
if (emotion.Contempt > emotionValue)
{
emotionValue = emotion.Contempt; emotionType = "Contempt";
}
if (emotion.Disgust > emotionValue)
{
emotionValue = emotion.Disgust; emotionType = "Disgust";
}
if (emotion.Fear > emotionValue)
{
emotionValue = emotion.Fear; emotionType = "Fear";
}
if (emotion.Happiness > emotionValue)
{
emotionValue = emotion.Happiness; emotionType = "Happiness";
}
if (emotion.Neutral > emotionValue)
{
emotionValue = emotion.Neutral; emotionType = "Neutral";
}
if (emotion.Sadness > emotionValue)
{
emotionValue = emotion.Sadness; emotionType = "Sadness";
}
if (emotion.Surprise > emotionValue)
{
emotionType = "Surprise";
}
Append(resultBuilder, verbose, $"Emotion : {emotionType}");
// Get more face attributes
if (verbose)
{
Append(resultBuilder, verbose, $"Exposure : {face.FaceAttributes.Exposure.ExposureLevel}");
}
Append(resultBuilder, verbose, $"FacialHair : {string.Format("{0}", face.FaceAttributes.FacialHair.Moustache + face.FaceAttributes.FacialHair.Beard + face.FaceAttributes.FacialHair.Sideburns > 0 ? "Yes" : "No")}");
Append(resultBuilder, verbose, $"Gender : {face.FaceAttributes.Gender}");
Append(resultBuilder, verbose, $"Glasses : {face.FaceAttributes.Glasses}");
// Get hair color
var hair = face.FaceAttributes.Hair;
string color = null;
if (hair.HairColor.Count == 0)
{
if (hair.Invisible)
{
color = "Invisible";
}
else
{
color = "Bald";
}
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence; returnColor = hairColor.Color; color = returnColor.ToString();
}
resultBuilder.AppendLine($"Hair : {color}");
// Get more attributes
if (verbose)
{
Append(resultBuilder, verbose, $"HeadPose : {string.Format("Pitch: {0}, Roll: {1}, Yaw: {2}", Math.Round(face.FaceAttributes.HeadPose.Pitch, 2), Math.Round(face.FaceAttributes.HeadPose.Roll, 2), Math.Round(face.FaceAttributes.HeadPose.Yaw, 2))}");
Append(resultBuilder, verbose, $"Makeup : {string.Format("{0}", (face.FaceAttributes.Makeup.EyeMakeup || face.FaceAttributes.Makeup.LipMakeup) ? "Yes" : "No")}");
Append(resultBuilder, verbose, $"Noise : {face.FaceAttributes.Noise.NoiseLevel}");
Append(resultBuilder, verbose, $"Occlusion : {string.Format("EyeOccluded: {0}", face.FaceAttributes.Occlusion.EyeOccluded ? "Yes" : "No")} " +
$" {string.Format("ForeheadOccluded: {0}", face.FaceAttributes.Occlusion.ForeheadOccluded ? "Yes" : "No")} {string.Format("MouthOccluded: {0}", face.FaceAttributes.Occlusion.MouthOccluded ? "Yes" : "No")}");
Append(resultBuilder, verbose, $"Smile : {face.FaceAttributes.Smile}");
}
return(resultBuilder.ToString());
}
public static async Task <FaceImage> DetectFaceExtract(IFaceClient client, IFormFile file, string recognitionModel)
{
var stream = file.OpenReadStream();
FaceImage faceImage = new FaceImage();
IList <DetectedFace> detectedFaces;
// Detect faces with all attributes from image.
detectedFaces = await client.Face.DetectWithStreamAsync(stream,
returnFaceAttributes : new List <FaceAttributeType> {
FaceAttributeType.Accessories, FaceAttributeType.Age,
FaceAttributeType.Blur, FaceAttributeType.Emotion, FaceAttributeType.Exposure, FaceAttributeType.FacialHair,
FaceAttributeType.Gender, FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.HeadPose,
FaceAttributeType.Makeup, FaceAttributeType.Noise, FaceAttributeType.Occlusion, FaceAttributeType.Smile
},
recognitionModel : recognitionModel);
faceImage.FileName = file.FileName;
faceImage.FaceCount = detectedFaces.Count;
// Parse all attributes of each detected face.
List <Attributes> faceAttributes = new List <Attributes>();
foreach (var face in detectedFaces.Select((value, i) => new { i, value }))
{
Attributes attributes = new Attributes();
attributes.FaceNumber = face.i + 1;
// Get bounding box of the faces
attributes.Rectangle.Left = face.value.FaceRectangle.Left;
attributes.Rectangle.Top = face.value.FaceRectangle.Top;
attributes.Rectangle.Width = face.value.FaceRectangle.Width;
attributes.Rectangle.Height = face.value.FaceRectangle.Height;
// Get accessories of the faces
List <Accessory> accessoriesList = (List <Accessory>)face.value.FaceAttributes.Accessories;
int count = face.value.FaceAttributes.Accessories.Count;
string accessory; string[] accessoryArray = new string[count];
if (count == 0)
{
accessory = "NoAccessories";
}
else
{
for (int i = 0; i < count; ++i)
{
accessoryArray[i] = accessoriesList[i].Type.ToString();
}
accessory = string.Join(",", accessoryArray);
}
attributes.Accessories = accessory;
// Get face other attributes
attributes.Age = face.value.FaceAttributes.Age;
attributes.Blur = face.value.FaceAttributes.Blur.BlurLevel.ToString();
// Get emotion on the face
string emotionType = string.Empty;
double emotionValue = 0.0;
Emotion emotion = face.value.FaceAttributes.Emotion;
if (emotion.Anger > emotionValue)
{
emotionValue = emotion.Anger; emotionType = "Anger";
}
if (emotion.Contempt > emotionValue)
{
emotionValue = emotion.Contempt; emotionType = "Contempt";
}
if (emotion.Disgust > emotionValue)
{
emotionValue = emotion.Disgust; emotionType = "Disgust";
}
if (emotion.Fear > emotionValue)
{
emotionValue = emotion.Fear; emotionType = "Fear";
}
if (emotion.Happiness > emotionValue)
{
emotionValue = emotion.Happiness; emotionType = "Happiness";
}
if (emotion.Neutral > emotionValue)
{
emotionValue = emotion.Neutral; emotionType = "Neutral";
}
if (emotion.Sadness > emotionValue)
{
emotionValue = emotion.Sadness; emotionType = "Sadness";
}
if (emotion.Surprise > emotionValue)
{
emotionType = "Surprise";
}
attributes.Emotion = emotionType;
// Get more face attributes
attributes.Exposure = face.value.FaceAttributes.Exposure.ExposureLevel.ToString();
attributes.FacialHair = $"{ string.Format("{0}", face.value.FaceAttributes.FacialHair.Moustache + face.value.FaceAttributes.FacialHair.Beard + face.value.FaceAttributes.FacialHair.Sideburns > 0 ? "Yes" : "No")}";
attributes.Gender = face.value.FaceAttributes.Gender.ToString();
attributes.Glasses = face.value.FaceAttributes.Glasses.ToString();
// Get hair color
Hair hair = face.value.FaceAttributes.Hair;
string color = null;
if (hair.HairColor.Count == 0)
{
if (hair.Invisible)
{
color = "Invisible";
}
else
{
color = "Bald";
}
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence; returnColor = hairColor.Color; color = returnColor.ToString();
}
attributes.Hair = color;
// Get more attributes
attributes.HeadPose.Pitch = Math.Round(face.value.FaceAttributes.HeadPose.Pitch, 2);
attributes.HeadPose.Roll = Math.Round(face.value.FaceAttributes.HeadPose.Roll, 2);
attributes.HeadPose.Yaw = Math.Round(face.value.FaceAttributes.HeadPose.Yaw, 2);
attributes.Makeup = $"{string.Format("{0}", (face.value.FaceAttributes.Makeup.EyeMakeup || face.value.FaceAttributes.Makeup.LipMakeup) ? "Yes" : "No")}";
attributes.Noise = face.value.FaceAttributes.Noise.NoiseLevel.ToString();
attributes.Occlusion.EyeOccluded = face.value.FaceAttributes.Occlusion.EyeOccluded ? true : false;
attributes.Occlusion.ForeheadOccluded = face.value.FaceAttributes.Occlusion.ForeheadOccluded ? true : false;
attributes.Occlusion.MouthOccluded = face.value.FaceAttributes.Occlusion.MouthOccluded ? true : false;
attributes.Smile = face.value.FaceAttributes.Smile.ToString();
faceImage.Attributes.Add(attributes);
}
return(faceImage);
}
public static async Task DetectAllFaceAtributes(IFaceClient client, string url, string recognitionModel)
{
Console.WriteLine("========DETECT FACES========");
Console.WriteLine();
// Create a list of images
List <string> imageFileNames = Directory.GetFiles("C:\\imagenes", "*.*", SearchOption.AllDirectories).ToList();
imageFileNames = imageFileNames.Where(item => item.Contains("WebCam")).ToList();
if (imageFileNames.Count >= 10)
{
// Intente tirar directamentela excepción, pero no te muestra el message en la consola....
string message = "Límite de imágenes excedido, no se puede mandar más de 10 imágenes";
Console.WriteLine("ERROR: " + message);
throw new Exception(message);
}
foreach (var imageFileName in imageFileNames)
{
IList <DetectedFace> detectedFaces;
// Detect faces with all attributes from image url.
FileStream file = new FileStream(imageFileName, FileMode.Open);
detectedFaces = await client.Face.DetectWithStreamAsync(
file,
returnFaceLandmarks : true,
returnFaceAttributes : new List <FaceAttributeType> {
FaceAttributeType.Accessories, FaceAttributeType.Age,
FaceAttributeType.Blur, FaceAttributeType.Emotion, FaceAttributeType.Exposure, FaceAttributeType.FacialHair,
FaceAttributeType.Gender, FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.HeadPose,
FaceAttributeType.Makeup, FaceAttributeType.Noise, FaceAttributeType.Occlusion, FaceAttributeType.Smile,
},
recognitionModel : recognitionModel);
Console.WriteLine($"{detectedFaces.Count} face(s) detected from image `{imageFileName}`.");
// Parse and print all attributes of each detected face.
foreach (var face in detectedFaces)
{
Console.WriteLine($"Face attributes for {imageFileName}:");
// Get bounding box of the faces
Console.WriteLine($"Rectangle(Left/Top/Width/Height) : {face.FaceRectangle.Left} {face.FaceRectangle.Top} {face.FaceRectangle.Width} {face.FaceRectangle.Height}");
// Get accessories of the faces
List <Accessory> accessoriesList = (List <Accessory>)face.FaceAttributes.Accessories;
int count = face.FaceAttributes.Accessories.Count;
string accessory; string[] accessoryArray = new string[count];
if (count == 0)
{
accessory = "NoAccessories";
}
else
{
for (int i = 0; i < count; ++i)
{
accessoryArray[i] = accessoriesList[i].Type.ToString();
}
accessory = string.Join(",", accessoryArray);
}
Console.WriteLine($"Accessories : {accessory}");
// Get face other attributes
Console.WriteLine($"Age : {face.FaceAttributes.Age}");
Console.WriteLine($"Blur : {face.FaceAttributes.Blur.BlurLevel}");
// Get emotion on the face
string emotionType = string.Empty;
double emotionValue = 0.0;
Emotion emotion = face.FaceAttributes.Emotion;
if (emotion.Anger > emotionValue)
{
emotionValue = emotion.Anger; emotionType = "Anger";
}
if (emotion.Contempt > emotionValue)
{
emotionValue = emotion.Contempt; emotionType = "Contempt";
}
if (emotion.Disgust > emotionValue)
{
emotionValue = emotion.Disgust; emotionType = "Disgust";
}
if (emotion.Fear > emotionValue)
{
emotionValue = emotion.Fear; emotionType = "Fear";
}
if (emotion.Happiness > emotionValue)
{
emotionValue = emotion.Happiness; emotionType = "Happiness";
}
if (emotion.Neutral > emotionValue)
{
emotionValue = emotion.Neutral; emotionType = "Neutral";
}
if (emotion.Sadness > emotionValue)
{
emotionValue = emotion.Sadness; emotionType = "Sadness";
}
if (emotion.Surprise > emotionValue)
{
emotionType = "Surprise";
}
Console.WriteLine($"Emotion : {emotionType}");
// Get more face attributes
Console.WriteLine($"Exposure : {face.FaceAttributes.Exposure.ExposureLevel}");
Console.WriteLine($"FacialHair : {string.Format("{0}", face.FaceAttributes.FacialHair.Moustache + face.FaceAttributes.FacialHair.Beard + face.FaceAttributes.FacialHair.Sideburns > 0 ? "Yes" : "No")}");
Console.WriteLine($"Gender : {face.FaceAttributes.Gender}");
Console.WriteLine($"Glasses : {face.FaceAttributes.Glasses}");
// Get hair color
Hair hair = face.FaceAttributes.Hair;
string color = null;
if (hair.HairColor.Count == 0)
{
if (hair.Invisible)
{
color = "Invisible";
}
else
{
color = "Bald";
}
}
HairColorType returnColor = HairColorType.Unknown;
double maxConfidence = 0.0f;
foreach (HairColor hairColor in hair.HairColor)
{
if (hairColor.Confidence <= maxConfidence)
{
continue;
}
maxConfidence = hairColor.Confidence; returnColor = hairColor.Color; color = returnColor.ToString();
}
Console.WriteLine($"Hair : {color}");
// Get more attributes
Console.WriteLine($"HeadPose : {string.Format("Pitch: {0}, Roll: {1}, Yaw: {2}", Math.Round(face.FaceAttributes.HeadPose.Pitch, 2), Math.Round(face.FaceAttributes.HeadPose.Roll, 2), Math.Round(face.FaceAttributes.HeadPose.Yaw, 2))}");
Console.WriteLine($"Makeup : {string.Format("{0}", (face.FaceAttributes.Makeup.EyeMakeup || face.FaceAttributes.Makeup.LipMakeup) ? "Yes" : "No")}");
Console.WriteLine($"Noise : {face.FaceAttributes.Noise.NoiseLevel}");
Console.WriteLine($"Occlusion : {string.Format("EyeOccluded: {0}", face.FaceAttributes.Occlusion.EyeOccluded ? "Yes" : "No")} " +
$" {string.Format("ForeheadOccluded: {0}", face.FaceAttributes.Occlusion.ForeheadOccluded ? "Yes" : "No")} {string.Format("MouthOccluded: {0}", face.FaceAttributes.Occlusion.MouthOccluded ? "Yes" : "No")}");
Console.WriteLine($"Smile : {face.FaceAttributes.Smile}");
Console.WriteLine();
}
}
}
