public static FaceFeaturesDB ExtractFeaturesDB(PhotoSketchFeatureExtractor extractor, List <PhotoMetadata> photos, bool savedb = true)
{
var dbName = string.Format("features-{0}.csv", DateTimeOffset.Now.ToUnixTimeMilliseconds());
var db = new FaceFeaturesDB();
Parallel.ForEach(photos, photo =>
{
try {
var feature = extractor.ExtractFaceFeatures(photo.AbsolutePath);
db.AddPhotoFeatures(photo, feature);
} catch (ArgumentException) { }
});
if (savedb)
{
db.Dump(dbName);
Console.WriteLine("Features db saved on: {0}", dbName);
}
return(db);
}
public TaskExtractGalleryFeatures(PhotoSketchFeatureExtractor extractor, string galleryPath)
{
WorkerReportsProgress = true;
DoWork += (s, e) =>
{
var db = new FaceFeaturesDB();
var photos = PhotoMetadataCsv.FromCSV(galleryPath).ToList();
var totalPhotos = photos.Count;
var currentProgress = 0;
Parallel.ForEach(photos, photo =>
{
try {
var feature = extractor.ExtractFaceFeatures(photo.AbsolutePath);
db.AddPhotoFeatures(photo, feature);
} catch (ArgumentException) { }
Interlocked.Increment(ref currentProgress);
ReportProgress((int)(currentProgress / (float)totalPhotos * 100));
});
e.Result = db;
};
}
public FormGalleryExtraction(PhotoSketchFeatureExtractor extractor)
{
InitializeComponent();
this.extractor = extractor;
}
public PhotoSketchCBIR(PhotoSketchFeatureExtractor featureExtractor)
{
this.featureExtractor = featureExtractor;
SearchFusionStrategy = new WeightedSum(1, 1, 1, 1, 1, 1);
Database = new FaceFeaturesDB();
}
