private void buttonNeural2_Click(object sender, EventArgs e)
{
Form3 frm3 = new Form3();
frm3.showForm();
}
private void buttonRecognize_Click(object sender, EventArgs e)
{
Bitmap inImage = snapPicture;
Bitmap outImage = ImageBinarization(inImage);
pictureBoxVideo.Image = outImage;
//Rect.Width = Rect.Height = 0;
MessageBox.Show("Binarized");
median.Size = 3;
median.ApplyInPlace(outImage);
outImage = adaptBinarizedImage(outImage);
pictureBoxVideo.Image = outImage;
MessageBox.Show("Filtered");
snapPicture = outImage;
//Some magic
FindObjects();
int imagesCount = foundImagesArray.Count();
MessageBox.Show(imagesCount + " objects are found. Ready to recognize");
//Recognizing for each bitmap number
Form3 frm3 = new Form3();
neuralNetworkClass neuralClass = new neuralNetworkClass();
double[,] weightsArray;
List<int> foundNumList = new List<int>();
//Obtaining weights array
neuralClass.DeserializeWeightsArray();
weightsArray = neuralClass.GetWeightsArray();
foreach (Bitmap bmp in foundImagesArray)
{
int classNum = 0;
double outParam = 0.0;
for (int i = 0; i < 10; i++)
{
double temp = frm3.GetOutParam(i, weightsArray, bmp);
if (temp > outParam)
{
outParam = temp;
classNum = i;
}
}
foundNumList.Add(classNum);
}
String nums = "";
foreach (int number in foundNumList)
{
nums += number.ToString() + " ";
}
textBoxRecognized.Text = nums;
//Form2 frm2 = new Form2(this);
//frm2.showForm();
//foreach (Bitmap bmp in foundImagesArray)
//{
// frm2.setImage(bmp);
// MessageBox.Show("Are found ;)");
//}
}
public neuralNetworkClass(Form3 form3)
: this()
{
// TODO: Complete member initialization
this.form3 = form3;
}