public static void ConverImageToBlackWhite()
{
var converter = new PictureConvector();
var inputs = converter.Convert(@"C:\GithubProject\LogFileParser\ParserIntoTheMongoDB\NeuraNetworks\images\Parasitized.png");
converter.Save("D:\\image.png", inputs);
}
public static void RecognizeImage()
{
var size = 10000;
var parasitizedPath = @"C:\Users\Vadim\Downloads\cell_images\Parasitized";
var uninfectedPath = @"C:\Users\Vadim\Downloads\cell_images\Uninfected";
var converter = new PictureConvector();
var testParasitizedImageInput = converter.Convert(@"C:\GithubProject\LogFileParser\ParserIntoTheMongoDB\NeuraNetworks\images\Parasitized.png");
var testUninfectedImageInput = converter.Convert(@"C:\GithubProject\LogFileParser\ParserIntoTheMongoDB\NeuraNetworks\images\Unparasitized.png");
var topology = new Topology(testParasitizedImageInput.Length, 1, 0.1, testParasitizedImageInput.Length / 2);
var neuronNetwork = new NeuronNetworks(topology);
double[,] parasitizedInputs = GetData(parasitizedPath, converter, testParasitizedImageInput, size);
neuronNetwork.Learning(new double[] { 1 }, parasitizedInputs, 1);
double[,] uninfectedInputs = GetData(parasitizedPath, converter, testUninfectedImageInput, size);
neuronNetwork.Learning(new double[] { 0 }, uninfectedInputs, 1);
var par = neuronNetwork.FeedForward(testParasitizedImageInput.Select(t => (double)t).ToArray());
var unpar = neuronNetwork.FeedForward(testUninfectedImageInput.Select(t => (double)t).ToArray());
Console.WriteLine("1" + " " + Math.Round(par.Output, 2));
Console.WriteLine("0" + " " + Math.Round(unpar.Output, 2));
}
private void imageToolStripMenuItem_Click(object sender, EventArgs e)
{
var openFileDialog = new OpenFileDialog();
openFileDialog.Filter = "JPG|*.jpg|PNG|*.png";
if (openFileDialog.ShowDialog() == DialogResult.OK)
{
var imgConvertor = new PictureConvector();
var inputs = imgConvertor.Convert(openFileDialog.FileName);
var result = Program.Controller.ImageNetwork.FeedForward(inputs).Output;
}
}
private static double[,] GetData(string parasitizedPath, PictureConvector converter, double[] testImageInput, int size)
{
var images = Directory.GetFiles(parasitizedPath);
var result = new double[testImageInput.Length, size];
for (int i = 0; i < size; i++)
{
var image = converter.Convert(images[i]);
for (int j = 0; j < image.Length; j++)
{
result[i, j] = image[j];
}
}
return(result);
}
