private static void Load(string directory, out IList <Matrix <RgbPixel> > images, out IList <uint> labels)
{
var imageList = new List <Matrix <RgbPixel> >();
var labelList = new List <uint>();
foreach (var file in Directory.EnumerateFiles(directory))
{
var name = Path.GetFileName(file);
var s = name.Split('_');
if (s.Length != 4 || !uint.TryParse(s[1], out var gender))
{
continue;
}
using (var tmp = Dlib.LoadImageAsMatrix <RgbPixel>(file))
{
var m = new Matrix <RgbPixel>(Size, Size);
Dlib.ResizeImage(tmp, m);
imageList.Add(m);
labelList.Add(gender);
}
}
images = imageList;
labels = labelList;
}
public static void SetFormImage(Array2D <RgbPixel> img)
{
Dlib.ResizeImage(img, 0.4);
Bitmap image = new Bitmap(img.Columns, img.Rows, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
for (int i = 0; i < img.Columns; i++)
{
for (int j = 0; j < img.Rows; j++)
{
//Color c = Color.FromArgb(img[i][j].Red, img[i][j].Green, img[i][j].Blue);
//image.SetPixel(i, j, c);
}
}
image.RotateFlip(RotateFlipType.Rotate90FlipNone);
Form1.SetImage(image);
}
private static void Load(string type, string directory, string meanImage, out IList <Matrix <RgbPixel> > images, out IList <uint> labels)
{
Matrix <RgbPixel> mean = null;
try
{
if (File.Exists(meanImage))
{
mean = Dlib.LoadImageAsMatrix <RgbPixel>(meanImage);
}
var csv = ReadCsv(Path.Combine(directory, $"{type}.csv"));
var imageList = new List <Matrix <RgbPixel> >();
var labelList = new List <uint>();
foreach (var kvp in csv)
{
var path = Path.Combine(directory, type, kvp.Key);
if (!File.Exists(path))
{
continue;
}
using (var tmp = Dlib.LoadImageAsMatrix <RgbPixel>(path))
{
if (mean != null)
{
using (var m = new Matrix <RgbPixel>(Size, Size))
{
Dlib.ResizeImage(tmp, m);
// ToDo: Support subtract operator on DlibDotNet
// var ret = m - mean;
var ret = new Matrix <RgbPixel>(Size, Size);
for (var row = 0; row < Size; row++)
{
for (var col = 0; col < Size; col++)
{
var left = m[row, col];
var right = mean[row, col];
var red = left.Red - right.Red;
var green = left.Green - right.Green;
var blue = left.Blue - right.Blue;
ret[row, col] = new RgbPixel((byte)red, (byte)green, (byte)blue);
}
}
imageList.Add(ret);
}
}
else
{
var m = new Matrix <RgbPixel>(Size, Size);
Dlib.ResizeImage(tmp, m);
imageList.Add(m);
}
labelList.Add(kvp.Value);
}
}
images = imageList;
labels = labelList;
}
finally
{
mean?.Dispose();
}
}