private void listBox2_SelectedIndexChanged(object sender, EventArgs e)
{
File.Create(parameter["hog_test_file"]).Dispose();
System.Diagnostics.Stopwatch sw = new System.Diagnostics.Stopwatch();
if (listBox2.SelectedIndex < 0)
{
return;
}
else
{
try
{
List <Mat> ListImage = new List <Mat>();
Mat img_display = new Mat();
string dir = listBox2.SelectedItem.ToString();
img_display = Cv2.ImRead(dir);
pictureBox2.Image = img_display.ToBitmap();
// Process predict
sw.Start();
Cv2.Resize(img_display, img_display, sizes2);
ListImage.Add(img_display);
FeatureExtraction.compute_hog_test(ListImage, sizes2, 100, parameter["hog_test_file"]);
SVMProblem Test = SVMProblemHelper.Load(parameter["hog_test_file"]);
double[] Target = Test.Predict(model_load);
sw.Stop();
label13.Text = MAPPING[(int)(Target[0])].ToString();
label10.Text = sw.ElapsedMilliseconds.ToString() + " (ms)";
string time = sw.ElapsedMilliseconds.ToString();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
}
private void btn_FeatureExtraction_Click(object sender, EventArgs e)
{
try
{
if (!flag)
{
string path_train = textBox1.Text;
string path_validation = textBox2.Text;
get_data(path_train, path_validation);
}
string size = parameter["resize"];
sizes = new OpenCvSharp.Size(Convert.ToInt32(size.Split(',')[0]), Convert.ToInt32(size.Split(',')[1]));
File.Create(parameter["hog_train_file"]).Dispose();
File.Create(parameter["hog_val_file"]).Dispose();
List <Mat> ListImageTrain = new List <Mat>();
List <Mat> ListImageVal = new List <Mat>();
// train
int index_train = 0;
foreach (var tmp in TRAIN_DATA)
{
ListImageTrain.Clear();
foreach (var tmp2 in tmp.Value)
{
try
{
Mat img = Cv2.ImRead(tmp2);
Cv2.Resize(img, img, sizes);
ListImageTrain.Add(img);
}
// if read image error
catch (Exception ex)
{
continue;
}
}
FeatureExtraction.compute_hog(ListImageTrain, sizes, index_train, parameter["hog_train_file"]);
index_train += 1;
}
// val
int index_val = 0;
foreach (var tmp in VALIDATION_DATA)
{
ListImageVal.Clear();
foreach (var tmp2 in tmp.Value)
{
try
{
Mat img = Cv2.ImRead(tmp2);
Cv2.Resize(img, img, sizes);
ListImageVal.Add(img);
}
// if read image error
catch (Exception ex)
{
continue;
}
}
FeatureExtraction.compute_hog(ListImageVal, sizes, index_val, parameter["hog_val_file"]);
index_val += 1;
}
MessageBox.Show("Completed");
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}