public KeyPoints SIFTDescriptor()
{
KeyPoints result = new KeyPoints();
//SiFT Descriptor
SIFT siftAlgo = null;
VectorOfKeyPoint modelKeyPointsSift = null;
try
{
siftAlgo = new SIFT();
modelKeyPointsSift = new VectorOfKeyPoint();
MKeyPoint[] siftPoints = siftAlgo.Detect(preProcessedImageInGrayScale);
modelKeyPointsSift.Push(siftPoints);
UMat siftDescriptors = new UMat();
siftAlgo.DetectAndCompute(preProcessedImageInGrayScale, null, modelKeyPointsSift, siftDescriptors, true);
Image <Gray, Byte> outputImage = new Image <Gray, byte>(
preProcessedImageInGrayScale.Width,
preProcessedImageInGrayScale.Height);
Features2DToolbox.DrawKeypoints(
preProcessedImageInGrayScale,
modelKeyPointsSift,
outputImage,
new Bgr(255, 255, 255),
Features2DToolbox.KeypointDrawType.Default);
string folderName = @"C:\Projects\LeafService\SiftImage";
string pathString = System.IO.Path.Combine(folderName, "Sift" + DateTime.UtcNow.Ticks);
System.IO.Directory.CreateDirectory(pathString);
if (Directory.Exists(pathString))
{
string newFilePath = Path.Combine(pathString, "SiftImage" + DateTime.UtcNow.Ticks);
outputImage.Save(folderName + ".jpg");
outputImage.Save(@"C:\Projects\LeafService\SIFTgray.jpg");
}
//outputImage.Save("sift.jpg");
result.Descriptor = siftDescriptors;
result.Points = siftPoints;
return(result);
}
finally
{
siftAlgo.Dispose();
modelKeyPointsSift.Dispose();
}
}
public void DrawSIFTDescriptor(string inputFile, string outputFile)
{
//SiFT Descriptor
SIFT siftAlgo = null;
VectorOfKeyPoint modelKeyPointsSift = null;
try
{
siftAlgo = new SIFT();
modelKeyPointsSift = new VectorOfKeyPoint();
using (Image <Bgr, byte> inputImage = new Image <Bgr, byte>(inputFile))
{
MKeyPoint[] siftPoints = siftAlgo.Detect(inputImage);
modelKeyPointsSift.Push(siftPoints);
UMat siftDescriptors = new UMat();
siftAlgo.DetectAndCompute(inputImage, null, modelKeyPointsSift, siftDescriptors, true);
using (Image <Gray, Byte> outputImage = new Image <Gray, byte>(
inputImage.Width,
inputImage.Height))
{
Features2DToolbox.DrawKeypoints(
inputImage,
modelKeyPointsSift,
outputImage,
new Bgr(255, 255, 255),
Features2DToolbox.KeypointDrawType.Default);
outputImage.Save(outputFile);
}
}
}
finally
{
siftAlgo.Dispose();
modelKeyPointsSift.Dispose();
}
}
public override void Dispose()
{
sift.Dispose();
}
public ConcurrentDictionary <string, MatOfFloat> CalcSiftHashes(IEnumerable <ImageInfo> infos, out Task result, int thumbSize = 100)
{
Trace.WriteLine("CalcSiftHashes started");
EnablePublishingProgress();
var hashesDict = new ConcurrentDictionary <string, MatOfFloat>();
var tasks = new List <Task>();
foreach (ImageInfo info in infos)
{
var task = new Task(() =>
{
Thread.CurrentThread.Priority = ThreadPriority.Lowest;
//Thread.Sleep(1);
//var mem = new MemoryStream();
//// copy to byte array
//int stride = ((BitmapImage)info.Image).PixelWidth * 4;
//byte[] buffer = new byte[stride * ((BitmapImage)info.Image).PixelHeight];
//((BitmapImage)info.Image).CopyPixels(buffer, stride, 0);
//// create bitmap
//Bitmap bitmap = new Bitmap(((BitmapImage)info.Image).PixelWidth, ((BitmapImage)info.Image).PixelHeight, PixelFormat.Format32bppArgb);
//// lock bitmap data
//BitmapData bitmapData = bitmap.LockBits(new Rectangle(0, 0, bitmap.Width, bitmap.Height), ImageLockMode.WriteOnly, bitmap.PixelFormat);
//// copy byte array to bitmap data
//Marshal.Copy(buffer, 0, bitmapData.Scan0, buffer.Length);
//// unlock
//bitmap.UnlockBits(bitmapData);
//bitmap.Save(mem,ImageFormat.Bmp);
//Mat sourceMat = Cv2.ImDecode(mem.GetBuffer(), ImreadModes.Unchanged);
//var resizedMat = sourceMat.Resize(new OpenCvSharp.Size(thumbSize, thumbSize), 0, 0, InterpolationFlags.Nearest);
//var scale = (double)thumbSize / Max(sourceMat.Width, sourceMat.Height);
//var resizedMat = sourceMat.Resize(new OpenCvSharp.Size(0, 0), scale, scale, InterpolationFlags.Nearest);
//var grayScaledMat = new Mat();
//Cv2.CvtColor(resizedMat, grayScaledMat, ColorConversionCodes.BGR2GRAY);
//var siftPoints = SURF.Create(400);
SIFT siftPoints = SIFT.Create();
MatOfFloat descriptors = new MatOfFloat();
//var keypoints = siftPoints.Detect(info.StoredMat).ToArray();
//siftPoints.Compute(info.StoredMat, ref keypoints, descriptors);
double scale = Math.Min((float)thumbSize / info.StoredMat.Width, (float)thumbSize / info.StoredMat.Height);
Mat resized = info.StoredMat.Resize(new OpenCvSharp.Size(0, 0), scale, scale, InterpolationFlags.Area);
siftPoints.DetectAndCompute(resized, null, out KeyPoint[] keypoints, descriptors);
resized.Release();
if (!ValidateDescriptor(descriptors))
{
descriptors.Release();
descriptors = new MatOfFloat(thumbSize, thumbSize);
}
hashesDict.TryAdd(info.FilePath, descriptors);
//resizedMat?.Dispose();
siftPoints.Dispose();
//grayScaledMat.Dispose();
//resizedMat.Release();
//sourceMat.Release();
UpdateIterationsCount();
});
tasks.Add(task);
}
SetProgressIterationsScope(tasks);
foreach (var task in tasks)
{
task.Start();
}
result = Task.WhenAll(tasks.ToArray());
result.ContinueWith(o => DisiblePublishingProgress());
return(hashesDict);
}