private void btn_learn_resize_Click(object sender, EventArgs e)
{
foreach (string imgpath in trainFolder.GetAll())
{
Mat tmp = new Mat(imgpath);
tmp = ImgOps.InterpolationResize(tmp, 32, 32);
tmp = ImgOps.RGBtoGrey(tmp).Mat;
}
}
public static Mat toBinary(Mat img, int threshold, int maxValue)
{
Mat tmp = new Mat();
try
{
tmp = ImgOps.RGBtoGrey(img).Mat;
CvInvoke.Threshold(tmp, tmp, threshold, maxValue, 0);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
return(tmp);
}
private void btn_CNN_recognize_Click(object sender, EventArgs e)
{
if (tb_imgs_path.Text != "")
{
if (!Directory.Exists(tb_imgs_path.Text))
{
MessageBox.Show("Folder does not exists");
return;
}
recognizeImageFolder.Load(tb_imgs_path.Text);
List <string> sarr = new List <string>();
foreach (string s in recognizeImageFolder.GetAll())
{
Mat im = new Mat(s);
if (im.NumberOfChannels != 1)
{
im = ImgOps.RGBtoGrey(im).Mat;
}
if (im.Size != new Size(32, 32))
{
im = new Image <Gray, byte>(ImgOps.InterpolationResize(im, 32, 32).Bitmap).Mat;
}
Image <Gray, byte> img = new Image <Gray, byte>(im.Bitmap);
string sign = network.Recognize(img.Bytes);
sarr.Add(sign);
}
string name = "results.txt";
string filepath = Path.Combine(recognizeImageFolder.GetPath(), name);
List <string> res = new List <string>();
for (int i = 0; i < sarr.Count; i++)
{
res.Add(recognizeImageFolder.GetAll()[i] + "_!_" + sarr[i]);
}
File.WriteAllLines(filepath, res);
}
else
{
MessageBox.Show("Path to images is empty");
}
}
