public static Result[] SearchSegmFree(NewImage QueryImage, ConcurrentDictionary <string, DocumentInfo> Dataset)
{
var myDSLPLibrary = new DoLF();
var myDSLPpoints = myDSLPLibrary.GetDSLPoints(QueryImage.Data, QueryImage.Width, QueryImage.Height, 3);
var queryVector = myDSLPLibrary.CreateNormalizedDescriptorForSegmFree(myDSLPpoints);
var results = new ConcurrentBag <Result>();
//Parallel.ForEach(Dataset.Keys, doc =>
foreach (var doc in Dataset.Keys)
{
var _results = myDSLPLibrary.DistanceSegmFree(queryVector, QueryImage.Width, QueryImage.Height, Dataset[doc].Descriptors);
foreach (var r in _results)
{
results.Add(new Result
{
X = (short)r.Block[0],
Y = (short)r.Block[1],
Width = (short)r.Block[2],
Height = (short)r.Block[3],
Similarity = r.Similarity,
Document = doc
});
}
}
return(results.OrderBy(x => x.Similarity).ToArray());
}
public static float[] GetDescriptor(string ImageBase64)
{
using var memoryStream = new MemoryStream(Convert.FromBase64String(ImageBase64))
{
Position = 0
};
Bitmap bmpImage = (Bitmap)Image.FromStream(memoryStream);
var img = new NewImage(bmpImage);
var myDSLPLibrary = new DoLF();
var myDSLPpoints = myDSLPLibrary.GetDSLPoints(img.Data, img.Width, img.Height, 3);
return(myDSLPLibrary.CreateNormalizedDescriptorForSegmFree(myDSLPpoints));
}
public static IEnumerable <int> Search(float[] QueryVector, int QueryWidth, int QueryHeight, float[] DocumentVector)
{
var myDSLPLibrary = new DoLF();
return(myDSLPLibrary.DistanceSegmFree(QueryVector, QueryWidth, QueryHeight, DocumentVector)
.OrderBy(d => d.Similarity)
.SelectMany(d => new int[] {
d.Block[0],
d.Block[1],
d.Block[2],
d.Block[3],
(int)Math.Round(10000 * d.Similarity)
}));
}
public static ConcurrentDictionary <string, DocumentInfo> IndexingSegmBased(string[] Documents, ProgressBar myProgressBar)
{
var Dataset = new ConcurrentDictionary <string, DocumentInfo>();
Parallel.ForEach(Documents, doc =>
{
var img = new NewImage(doc);
var myDSLPLibrary = new DoLF();
var myDSLPpoints = myDSLPLibrary.GetDSLPoints(img.Data, img.Width, img.Height, 3);
var myDocInfo = new DocumentInfo
{
Descriptors = myDSLPLibrary.CreateNormalizedDescriptorForSegmBased(myDSLPpoints, img.Width, img.Height),
Width = img.Width,
Height = img.Height
};
Dataset.TryAdd(Path.GetFileNameWithoutExtension(doc), myDocInfo);
myProgressBar.Increase(100d / Documents.Length);
});
return(Dataset);
}
public static Result[] SearchSegmBased(NewImage QueryImage, ConcurrentDictionary <string, DocumentInfo> Dataset)
{
var myDSLPLibrary = new DoLF();
var myDSLPpoints = myDSLPLibrary.GetDSLPoints(QueryImage.Data, QueryImage.Width, QueryImage.Height, 3);
var queryVector = myDSLPLibrary.CreateNormalizedDescriptorForSegmBased(myDSLPpoints, QueryImage.Width, QueryImage.Height);
var results = new ConcurrentBag <Result>();
Parallel.ForEach(Dataset.Keys, doc =>
{
var r = myDSLPLibrary.DistanceSegmBased(queryVector, Dataset[doc].Descriptors);
results.Add(new Result
{
X = 0,
Y = 0,
Width = Dataset[doc].Width,
Height = Dataset[doc].Height,
Similarity = r,
Document = doc
});
});
return(results.OrderBy(x => x.Similarity).ToArray());
}
