private void обработатьПланшетПреобученнойСетьюToolStripMenuItem_Click(object sender, EventArgs e)
{
BoxerDLL.BoxCut2D cutter = new BoxerDLL.BoxCut2D(7, 10, 0.143f, 0.1f);
if (openImageDialog.ShowDialog() == DialogResult.OK)
{
Bitmap map = new Bitmap(openImageDialog.FileName);
RectangleF[] rects = cutter.Rects1D(map.Width, map.Height);
Color[] colors = new Color[rects.Length];
Color plus = Color.FromArgb(100, Color.Red);
Color minus = Color.FromArgb(100, Color.Green);
var maps = cutter.Enumerator(ref map);
int j = 0;
//List<double[,,]> rgbs = new List<double[,,]>();
do
{
double[,,] output = pretrain.ProcessAutoEncoder(ImageDataConverter.GetRGBArray(new Bitmap(maps.Current, NetworkData.image_size)));
GC.Collect();
colors[j] = output[0, 0, 0] > output[0, 0, 1] ? plus : minus;
j++;
} while (maps.MoveNext());
var bitmap = DrawColoredRects(map, rects, colors);
ImageShow img_show = new ImageShow(bitmap);
img_show.Show();
}
}
private void timer1_Tick(object sender, EventArgs e)
{
if (pretrain_task != null)
{
if (pretrain_task.IsCompleted)
{
pretrain.UpdateWeights(ref NetworkData.network);
label1.Text = "Error: " + (float)pretrain_task.Result;
double[,,] res = pretrain.ProcessAutoEncoder(base_arr);
ContinuePretrain();
double max = -1;
res.ForEach((x) => { max = Math.Max(max, x); });
res.ForEach((x) => x / max);
//pictureBox2.Image = ImageDataConverter.GetImage(res.ConvertToRGD());
}
}
}