private void загрузитьОбучающиеДанныеToolStripMenuItem_Click(object sender, EventArgs e)
{
if (openImageDialog.ShowDialog() == DialogResult.OK)
{
string path = openImageDialog.FileName;
path = path.Replace("\\" + openImageDialog.SafeFileName, "");
path = path.Replace("\\" + path.Split('\\').Last(), "");
NetworkData.train = new BitmapCatEnumerator(path, NetworkData.image_size);
var pair = NetworkData.train.GetRandom(ref NetworkData.network);
pictureBox1.Image = ImageDataConverter.GetImage(pair.Key.ConvertToRGD());
}
}
private void начатьToolStripMenuItem_Click(object sender, EventArgs e)
{
train_index = 0;
if (NetworkData.optimizer == null)
{
MessageBox.Show("Не выбран оптимизатор", "Ошибка");
return;
}
var pair = NetworkData.train.GetRandom(ref NetworkData.network);
pictureBox1.Image = ImageDataConverter.GetImage(pair.Key.ConvertToRGD());
test_arr = pair.Key;
test_res = pair.Value;
NetworkData.optimizer.TrainBatch(NetworkData.train, 16, 1);
StartTrain();
timer1.Start();
}
public PretrainMaster()
{
InitializeComponent();
Network network = NetworkData.network;
for (int i = 0; i < network.layers.Count; i++)
{
listBox1.Items.Add(network.layers[i].GetType().Name + " {" + network.layers[i].output_size[0] + ","
+ network.layers[i].output_size[1] + "," + network.layers[i].output_size[2] + "}");
}
test_arr = NetworkData.train.GetRandom(ref network).Key;
base_arr = test_arr;
testImg = ImageDataConverter.GetImage(test_arr.ConvertToRGD());
//pictureBox1.Image = testImg;
pretrain = new FullConPretrain(ref NetworkData.network);
}