public override TrainingData <Array3D, Array3D> GetNext(bool isTraining)
{
var imageFullPath = isTraining ? TrainPath : TestPath;
var bitmap = new Bitmap(Image.FromFile(imageFullPath));
var column = rand.Next(_imageCount.Width);
var row = rand.Next(_imageCount.Height);
var origin = new Size
{
Width = _margin.Width + column * (_padding.Width + ImageSize.Width) + _padding.Width,
Height = _margin.Height + row * (_padding.Height + ImageSize.Height) + _padding.Height
};
var array = new Array3D(bitmap.Height, bitmap.Width, 3);
for (var i = 0; i < bitmap.Height; i++)
{
for (var j = 0; j < bitmap.Width; j++)
{
var pixel = bitmap.GetPixel(j, i);
array[origin.Height + i, origin.Width + j, 0] = pixel.R;
array[origin.Height + i, origin.Width + j, 1] = pixel.G;
array[origin.Height + i, origin.Width + j, 2] = pixel.B;
}
}
//var pair = new TrainingData<Array3D, Array> { Expected = Classes[row], Input = array };
var pair = new TrainingData <Array3D, Array3D> {
Expected = new Array3D(), Input = array
};
return(pair);
}
private void Initialize()
{
var image = Image.FromFile(TrainPath);
Bitmap bitmap;
if (ImageSize.Height == 0 || ImageSize.Width == 0)
{
bitmap = new Bitmap(image, image.Width, image.Height);
}
else
{
bitmap = new Bitmap(image, ImageSize.Width, ImageSize.Height);
}
var array = new Array3D(bitmap.Height, bitmap.Width, 3);
for (var i = 0; i < bitmap.Height; i++)
{
for (var j = 0; j < bitmap.Width; j++)
{
var pixel = bitmap.GetPixel(j, i);
array[i, j, 0] = pixel.R / 255.0;
array[i, j, 1] = pixel.G / 255.0;
array[i, j, 2] = pixel.B / 255.0;
}
}
_pair = new TrainingData <Array3D, Array3D> {
Expected = _expected, Input = array
};
}