private void button1_Click(object sender, EventArgs e)
{
images = MNISTImages.Load(imgsPath);
labels = MNISTLabels.Load(labelsPath);
for (int i = 0; i < images.Images.Count; i++)
{
Bitmap bitmap = new Bitmap(images.Row, images.Column);
byte[] imageBytes = images.Images[i];
for (int j = 0; j < imageBytes.Length; j++)
{
int y = j / 28;
int x = j % 28;
int color = imageBytes[j];
bitmap.SetPixel(x, y, Color.FromArgb(color, color, color));
}
img.Add(bitmap);
}
_timer.Start();
}
private List <Matrix> LoadMNIST()
{
List <Matrix> matrices = new List <Matrix>();
MNISTImages train_images = MNISTImages.Load(train_imgs_path, TrainDataCount);
Matrix x_train = new Matrix(TrainDataCount, 784);
int x_train_row = x_train.X;
int y_train_col = x_train.Y;
Parallel.For(0, x_train_row, i =>
{
for (int j = 0; j < y_train_col; j++)
{
x_train[i, j] = train_images.Images[i][j] / 255.0;
}
});
MNISTLabels train_labels = MNISTLabels.Load(train_labels_path, TrainDataCount);
Matrix t_train = new Matrix(TrainDataCount, 10);
//转成one-hot
for (int i = 0; i < t_train.X; i++)
{
t_train[i, train_labels.Labels[i]] = 1;
}
MNISTImages test_images = MNISTImages.Load(test_imgs_path, TestDataCount);
Matrix x_test = new Matrix(TestDataCount, 784);
int x_test_row = x_test.X;
int y_test_col = x_test.Y;
Parallel.For(0, x_test_row, i =>
{
for (int j = 0; j < y_test_col; j++)
{
x_test[i, j] = test_images.Images[i][j] / 255.0;
}
});
MNISTLabels test_labels = MNISTLabels.Load(test_labels_path, TestDataCount);
Matrix t_test = new Matrix(TestDataCount, 10);
for (int i = 0; i < t_test.X; i++)
{
t_test[i, test_labels.Labels[i]] = 1;
}
matrices.Add(x_train);
matrices.Add(t_train);
matrices.Add(x_test);
matrices.Add(t_test);
Console.WriteLine("MNIST 加载完成");
return(matrices);
}
