private void ComputeObjectsFromFolder()
{
if (!VerifyWebConfigVariables())
{
return;
}
var emotionMapper = new MLMapper();
var sourceFolder = ConfigurationManager.AppSettings["SourceFolder"].ToString();
var saveFolder = ConfigurationManager.AppSettings["SaveFolder"].ToString();
var files = Directory.GetFiles(sourceFolder);
foreach (var file in files)
{
string lastFolderName = Path.GetFileName(Path.GetDirectoryName(file));
InfoDTO dto = new InfoDTO()
{
Category = lastFolderName,
Image = file
};
Console.WriteLine(string.Format("Processing {0}", file));
Thread.Sleep(_pauseParameter);
byte[] imgdata = System.IO.File.ReadAllBytes(file);
ObjectInfoDTO objectsDTOs = _mlService.GetObjectsFromImage(imgdata);
}
}
private void ComputeEmotionsFromFolderInDocumentDb()
{
CreateDatabaseIfNotExists(_db).Wait();
CreateDocumentCollectionIfNotExists(_db, _collection).Wait();
var collectionLink = UriFactory.CreateDocumentCollectionUri(_db, _collection);
DocumentClient client;
var emotionMapper = new MLMapper();
var sourceFolder = ConfigurationManager.AppSettings["SourceFolder"].ToString();
var saveFolder = ConfigurationManager.AppSettings["SaveFolder"].ToString();
string[] dirs = Directory.GetDirectories(saveFolder);
string category = Path.GetFileName(Path.GetDirectoryName(saveFolder));
using (client = new DocumentClient(new Uri(_endpointUri), _primaryKey, ConnectionPolicy))
{
foreach (var dir in dirs)
{
string[] files = Directory.GetFiles(dir);
foreach (var file in files)
{
var imageStr = File.ReadAllText(file);
ImageInfoDTO objectInfo = JsonConvert.DeserializeObject <ImageInfoDTO>(imageStr);
objectInfo.Id = Path.GetFileName(objectInfo.ImageUrl);
Console.WriteLine(objectInfo.Id);
AddDocument(client, _db, _collection, objectInfo).Wait();
}
}
}
}
private void ComputeAllCharacteristicsFromFolder()
{
if (!VerifyWebConfigVariables())
{
return;
}
var emotionMapper = new MLMapper();
var sourceFolder = ConfigurationManager.AppSettings["SourceFolder"].ToString();
var saveFolder = ConfigurationManager.AppSettings["SaveFolder"].ToString();
string[] dirs = Directory.GetDirectories(sourceFolder);
foreach (var dir in dirs)
{
string[] files = Directory.GetFiles(dir);
Parallel.ForEach(files, new ParallelOptions {
MaxDegreeOfParallelism = 4
}, (file) =>
{
var mlService = new MLService(new ServiceProxyCognitiveAzure());
string lastFolderName = Path.GetFileName(Path.GetDirectoryName(file));
string fileName = Path.GetFileName(file);
Console.WriteLine(string.Format("Processing {0}", file));
byte[] imgdata = System.IO.File.ReadAllBytes(file);
FaceEmotionDTO[] emotionDTOs = mlService.GetEmotionsFromImage(imgdata);
if (emotionDTOs != null && emotionDTOs.Count() > 0)
{
FaceInfoDTO[] faceInfo = mlService.GetFacesFromImage(imgdata);
ObjectInfoDTO objectsDTOs = mlService.GetObjectsFromImage(imgdata);
var imageinfo = new ImageInfoDTO()
{
Emotions = emotionDTOs,
Faces = faceInfo,
Objects = objectsDTOs,
Category = lastFolderName,
ImageUrl = fileName,
Anger = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Anger : 0),
Contempt = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Contempt : 0),
Disgust = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Disgust : 0),
Fear = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Fear : 0),
Happiness = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Happiness : 0),
Neutral = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Neutral : 0),
Sadness = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Sadness : 0),
Surprise = emotionDTOs.Average(x => x.Scores != null ? x.Scores.Surprise : 0)
};
if (imageinfo != null)
{
_emotionService.AddEmotion(imageinfo);
}
Thread.Sleep(_pauseParameter);
}
}
);
}
}
public MLService(IServiceProxy serviceProxy)
{
_serviceProxy = serviceProxy;
_apiCognitiveEmotionLink = ConfigurationManager.AppSettings["ApiCognitiveEmotionLink"].ToString();
_apiCognitiveFaceLink = ConfigurationManager.AppSettings["ApiCognitiveFaceLink"].ToString();
_apiCognitiveCVLink = ConfigurationManager.AppSettings["ApiCognitiveCVLink"].ToString();
_apiContentType = ConfigurationManager.AppSettings["ApiContentType"].ToString();
_apiKeyName = ConfigurationManager.AppSettings["ApiKeyName"].ToString();
_apiKeyEmotions = ConfigurationManager.AppSettings["ApiKeyEmotions"].ToString();
_apiKeyFace = ConfigurationManager.AppSettings["ApiKeyFace"].ToString();
_apiKeyCV = ConfigurationManager.AppSettings["ApiKeyCV"].ToString();
_emotionMapper = new MLMapper();
}
private void ComputeEmotionsFromFolder()
{
if (!VerifyWebConfigVariables())
{
return;
}
var emotionMapper = new MLMapper();
var sourceFolder = ConfigurationManager.AppSettings["SourceFolder"].ToString();
var saveFolder = ConfigurationManager.AppSettings["SaveFolder"].ToString();
var files = Directory.GetFiles(sourceFolder);
foreach (var file in files)
{
string lastFolderName = Path.GetFileName(Path.GetDirectoryName(file));
InfoDTO dto = new InfoDTO()
{
Category = lastFolderName,
Image = file
};
Console.WriteLine(string.Format("Processing {0}", file));
if (!_emotionService.EmotionAllreadyComputed(dto))
{
Thread.Sleep(_pauseParameter);
byte[] imgdata = System.IO.File.ReadAllBytes(file);
FaceEmotionDTO[] emotionDTOs = _mlService.GetEmotionsFromImage(imgdata);
if (emotionDTOs != null)
{
dto.Emotions = emotionDTOs.ToArray();
_emotionService.AddEmotion(dto);
}
}
}
}
