static void Main(string[] args)
{
//DirectoryInfo rootDir = new DirectoryInfo("oracles");
//List<int> train_labels = new List<int>(),
// test_labels = new List<int>();
//List<Mat<byte>> train_images = new List<Mat<byte>>(),
// test_images = new List<Mat<byte>>();
//int index = 1;
//foreach (var dir in rootDir.GetDirectories())
//{
// int counter = 0;
// foreach (var file in dir.GetFiles())
// {
// BitmapSource bmp = new PngBitmapDecoder(new Uri(file.FullName),
// BitmapCreateOptions.None, BitmapCacheOption.Default).Frames[0];
// FormatConvertedBitmap formatedBmp = new FormatConvertedBitmap();
// formatedBmp.BeginInit();
// formatedBmp.Source = bmp;
// formatedBmp.DestinationFormat = PixelFormats.Gray8;
// formatedBmp.EndInit();
// if (counter % 3 < 2)
// {
// train_images.Add(BitmapSourceToMat(formatedBmp));
// train_labels.Add(index);
// }
// else
// {
// test_images.Add(BitmapSourceToMat(formatedBmp));
// test_labels.Add(index);
// }
// counter++;
// }
// index++;
//}
//List<GlobalFeatureVec> train_features = new List<GlobalFeatureVec>(),
// test_features = new List<GlobalFeatureVec>();
//for (int i = 0; i < train_images.Count; i++)
// train_features.Add(new GlobalFeatureVec());
//for (int i = 0; i < test_images.Count; i++)
// test_features.Add(new GlobalFeatureVec());
//Parallel.For(0, train_images.Count, (i) =>
//{
// train_features[i] = GHOG.GetFeatureWithoutPreprocess(train_images[i]);
//});
//Parallel.For(0, test_images.Count, (i) =>
//{
// test_features[i] = GHOG.GetFeatureWithoutPreprocess(test_images[i]);
//});
//Console.WriteLine(KNN(train_features, train_labels, test_features, test_labels));
Uri uri = new Uri("00006.png", UriKind.Relative);
BitmapSource bmp = new PngBitmapDecoder(uri, BitmapCreateOptions.None,
BitmapCacheOption.Default).Frames[0];
FormatConvertedBitmap formatedBmp = new FormatConvertedBitmap();
formatedBmp.BeginInit();
formatedBmp.Source = bmp;
formatedBmp.DestinationFormat = PixelFormats.Gray8;
formatedBmp.EndInit();
Mat<byte> preprocessed = Feature.Preprocess(BitmapSourceToMat(formatedBmp), new Size(256, 256));
var channels = BinaryImgProc.SplitViaOrientation(preprocessed, 8);
foreach (var channel in channels)
{
ImageBox box = new ImageBox(MatToBitmapSource(channel));
box.ShowDialog();
}
//int sigma = 9, lambda = 24, ksize = sigma * 6 + 1;
//Mat<double> filter = Filter.GetGaborKernel(new Size(ksize, ksize), sigma,
// 0, lambda, 1, 0);
//Mat<double> filter = new Mat<double>(5, 5);
//for (int i = 0; i < filter.Rows; i++)
// for (int i = 0; i < filter.Cols; i++)
// filter[i, i] = 1.0 / (filter.Rows * filter.Cols);
//Mat<double> tmp = ImgProc.Filter2D(preprocessed, filter);
//Mat<byte> result = new Mat<byte>(tmp.Size);
//double max = double.MinValue, min = double.MaxValue;
//for (int i = 0; i < tmp.Rows; i++)
// for (int k = 0; k < tmp.Cols; k++)
// {
// if (tmp[i, k] > max)
// max = tmp[i, k];
// if (tmp[i, k] < min)
// min = tmp[i, k];
// }
//for (int i = 0; i < tmp.Rows; i++)
// for (int k = 0; k < tmp.Cols; k++)
// result[i, k] = (byte)((tmp[i, k] - min) / (max - min) * 256);
//ImageBox box = new ImageBox(MatToBitmapSource(result));
//box.ShowDialog();
}
static void Main(string[] args)
{
//DirectoryInfo rootDir = new DirectoryInfo("oracles");
//List<int> train_labels = new List<int>(),
// test_labels = new List<int>();
//List<Mat<byte>> train_images = new List<Mat<byte>>(),
// test_images = new List<Mat<byte>>();
//int index = 1;
//foreach (var dir in rootDir.GetDirectories())
//{
// int counter = 0;
// foreach (var file in dir.GetFiles())
// {
// BitmapSource bmp = new PngBitmapDecoder(new Uri(file.FullName),
// BitmapCreateOptions.None, BitmapCacheOption.Default).Frames[0];
// FormatConvertedBitmap formatedBmp = new FormatConvertedBitmap();
// formatedBmp.BeginInit();
// formatedBmp.Source = bmp;
// formatedBmp.DestinationFormat = PixelFormats.Gray8;
// formatedBmp.EndInit();
// if (counter % 3 < 2)
// {
// train_images.Add(BitmapSourceToMat(formatedBmp));
// train_labels.Add(index);
// }
// else
// {
// test_images.Add(BitmapSourceToMat(formatedBmp));
// test_labels.Add(index);
// }
// counter++;
// }
// index++;
//}
//List<GlobalFeatureVec> train_features = new List<GlobalFeatureVec>(),
// test_features = new List<GlobalFeatureVec>();
//for (int i = 0; i < train_images.Count; i++)
// train_features.Add(new GlobalFeatureVec());
//for (int i = 0; i < test_images.Count; i++)
// test_features.Add(new GlobalFeatureVec());
//Parallel.For(0, train_images.Count, (i) =>
//{
// train_features[i] = GHOG.GetFeatureWithoutPreprocess(train_images[i]);
//});
//Parallel.For(0, test_images.Count, (i) =>
//{
// test_features[i] = GHOG.GetFeatureWithoutPreprocess(test_images[i]);
//});
//Console.WriteLine(KNN(train_features, train_labels, test_features, test_labels));
Uri uri = new Uri("00006.png", UriKind.Relative);
BitmapSource bmp = new PngBitmapDecoder(uri, BitmapCreateOptions.None,
BitmapCacheOption.Default).Frames[0];
FormatConvertedBitmap formatedBmp = new FormatConvertedBitmap();
formatedBmp.BeginInit();
formatedBmp.Source = bmp;
formatedBmp.DestinationFormat = PixelFormats.Gray8;
formatedBmp.EndInit();
Mat <byte> preprocessed = Feature.Preprocess(BitmapSourceToMat(formatedBmp), new Size(256, 256));
var channels = BinaryImgProc.SplitViaOrientation(preprocessed, 8);
foreach (var channel in channels)
{
ImageBox box = new ImageBox(MatToBitmapSource(channel));
box.ShowDialog();
}
//int sigma = 9, lambda = 24, ksize = sigma * 6 + 1;
//Mat<double> filter = Filter.GetGaborKernel(new Size(ksize, ksize), sigma,
// 0, lambda, 1, 0);
//Mat<double> filter = new Mat<double>(5, 5);
//for (int i = 0; i < filter.Rows; i++)
// for (int i = 0; i < filter.Cols; i++)
// filter[i, i] = 1.0 / (filter.Rows * filter.Cols);
//Mat<double> tmp = ImgProc.Filter2D(preprocessed, filter);
//Mat<byte> result = new Mat<byte>(tmp.Size);
//double max = double.MinValue, min = double.MaxValue;
//for (int i = 0; i < tmp.Rows; i++)
// for (int k = 0; k < tmp.Cols; k++)
// {
// if (tmp[i, k] > max)
// max = tmp[i, k];
// if (tmp[i, k] < min)
// min = tmp[i, k];
// }
//for (int i = 0; i < tmp.Rows; i++)
// for (int k = 0; k < tmp.Cols; k++)
// result[i, k] = (byte)((tmp[i, k] - min) / (max - min) * 256);
//ImageBox box = new ImageBox(MatToBitmapSource(result));
//box.ShowDialog();
}
