private void button4_Click(object sender, EventArgs e)
{
//image process start (process Button)
if (this.processButtonFlag)
{
CascadeClassifier haarCascadeClassifier = new CascadeClassifier(@"C:\Users\user\Dataset\wider_face_yolo\benchmark\tester\C#\TraningProgramming\Xisom.FaceDetection\FaceDetector.OpenCvSharp\Resources\haarcascade_frontalface_default.xml");
// adding all filelist to to the datagridview
List <Rect> faceList = new List <Rect>();
var src = new Mat(this.fileList[this.imageID], ImreadModes.Grayscale);
var dst = new Mat(this.fileList[this.imageID], ImreadModes.Color);
Rect[] faces = haarCascadeClassifier.DetectMultiScale(src, 1.1, 5);
if (faces.Length > 0)
{
for (int i = 0; i < faces.Length; i++)
{
faceList.Add(faces[i]);
Cv2.Rectangle(dst, faces[i], Scalar.White, 3);
}
}
this.image = BitmapConverter.ToBitmap(dst);
pictureBox1.Image = (Image)image;
pictureBox1.SizeMode = PictureBoxSizeMode.StretchImage;
this.processedListedface = new ListedFaces(faceList);
//datagridview add and parse to dataset;
DataRow dataRow = this.gridDataTable.NewRow();
dataRow["ID"] = this.imageID.ToString();
dataRow["File Information"] = this.fileList[this.imageID].ToString();
dataRow["Face(s)"] = (this.processedListedface.SerializeObject());
this.gridDataTable.Rows.Add(dataRow);
dataGridView1.AutoSize = true;
dataGridView1.DataSource = this.gridDataset.Tables[0];
this.processButtonFlag = false;
if (!this.hasProcessed)
{
this.hasProcessed = true;
}
saveButton.Visible = true;
}
}
public ImageDisplay(string filename, ListedFaces listedFaces)
{
InitializeComponent();
this.listedFaces = listedFaces;
this.filename = filename;
var dst = new Mat(this.filename, ImreadModes.Color);
for (int i = 0; i < listedFaces.faces.Count; i++)
{
Cv2.Rectangle(dst, listedFaces.faces[i], Scalar.White, 3);
}
this.image = BitmapConverter.ToBitmap(dst);
displayPictureBox.Image = (Image)image;
displayPictureBox.SizeMode = PictureBoxSizeMode.StretchImage;
fileNameLabel.Text = this.filename;
}
private void dataGridView1_CellContentClick(object sender, DataGridViewCellEventArgs e)
{
// showing the data as a new form
DataGridView dgv = sender as DataGridView;
if (dgv != null)
{
this.fileName = dataGridView1.SelectedRows[0].Cells[1].Value.ToString();
this.imageID = int.Parse(dataGridView1.SelectedRows[0].Cells[0].Value.ToString());
this.image = new Bitmap(this.fileList[imageID]);
var dst = new Mat(this.fileList[this.imageID], ImreadModes.Color);
XmlSerializer reader = new XmlSerializer(typeof(ListedFaces));
string faceData = dataGridView1.SelectedRows[0].Cells[2].Value.ToString();
ListedFaces listedFaces = (ListedFaces)reader.Deserialize(new StringReader(faceData));
try
{
this.processedListedface = listedFaces;
for (int i = 0; i < listedFaces.faces.Count; i++)
{
Cv2.Rectangle(dst, listedFaces.faces[i], Scalar.White, 3);
}
this.image = BitmapConverter.ToBitmap(dst);
pictureBox1.Image = (Image)image;
pictureBox1.SizeMode = PictureBoxSizeMode.StretchImage;
}
catch
{
MessageBox.Show("image File not found");
}
progressBar1.Value = this.imageID;
label3.Text = "Image Count " + this.imageID;
Form imagedisplay = new ImageDisplay(this.fileName, listedFaces);
imagedisplay.Show();
}
}
private void autoProcess_Click(object sender, EventArgs e)
{
autoProcess.Visible = false;
pauseButton.Visible = true;
this.autoPlayButtonActive = true;
this.pressPauseButton = false;;
processButton.Visible = false;
saveButton.Visible = false;
for (int k = 0; k < this.fileList.Length; k++)
{
this.imageID = k;
if (this.pressPauseButton)
{
this.autoPlayButtonActive = false;
this.autoProcessIdx = k;
break;
}
if (this.autoProcessIdx != 0)
{
k = autoProcessIdx;
}
CascadeClassifier haarCascadeClassifier = new CascadeClassifier(@"C:\Users\user\Dataset\wider_face_yolo\benchmark\tester\C#\TraningProgramming\Xisom.FaceDetection\FaceDetector.OpenCvSharp\Resources\haarcascade_frontalface_default.xml");
// adding all filelist to to the datagridview
List <Rect> faceList = new List <Rect>();
var src = new Mat(this.fileList[this.imageID], ImreadModes.Grayscale);
var dst = new Mat(this.fileList[this.imageID], ImreadModes.Color);
Rect[] faces = haarCascadeClassifier.DetectMultiScale(src, 1.1, 5);
if (faces.Length > 0)
{
for (int i = 0; i < faces.Length; i++)
{
faceList.Add(faces[i]);
Cv2.Rectangle(dst, faces[i], Scalar.White, 3);
}
}
this.image = BitmapConverter.ToBitmap(dst);
pictureBox1.Image = (Image)image;
pictureBox1.SizeMode = PictureBoxSizeMode.StretchImage;
this.processedListedface = new ListedFaces(faceList);
progressBar1.Value = this.imageID;
//datagridview add and parse to dataset;
DataRow dataRow = this.gridDataTable.NewRow();
dataRow["ID"] = this.imageID.ToString();
dataRow["File Information"] = this.fileList[this.imageID].ToString();
dataRow["Face(s)"] = (this.processedListedface.SerializeObject());
this.gridDataTable.Rows.Add(dataRow);
label3.Text = "Image Count: " + this.imageID;
Thread.Sleep(300);
if (this.autoPlayButtonActive)
{
//impliment todo??
}
}
dataGridView1.DataSource = this.gridDataset.Tables[0];
this.processButtonFlag = true;
saveButton.Visible = true;
autoProcess.Visible = true;
this.pressPauseButton = false;
processButton.Visible = true;
}
