| public WriteLine ( string s, bool crlf, bool date ) : void | ||
| s | string | |
| crlf | bool | |
| date | bool | |
| return | void | |
//Gunakan method getData utk membuat training data dan classes
//training folder terdapat subfolder sesuai dengan class masing2
//setiap file mempunya nama cnn.pbm dimana c = class {0..99} dan nn = urutan image {00..99}
public void getData()
{
CvMat row = new CvMat();
CvMat data = new CvMat();
string file;
int i = 7, j = 0;
for (i = 0; i < classes; i++)
{
for (j = 0; j < train_samples; j++)
{
if (j < 10)
{
file = file_path + i.ToString() + "\\" + i.ToString() + "0" + j.ToString() + ".pbm";
}
else
{
file = file_path + i.ToString() + "\\" + i.ToString() + j.ToString() + ".pbm";
}
//form.WriteLine("Training..." + file,true,true);
src_image = highgui.CvLoadImage(file, highgui.CV_LOAD_IMAGE_GRAYSCALE);
if (src_image.ptr == null)
{
form.WriteLine("Error: Cant load image: " + file + "\n", true, true);
}
//process file
prs_image = p.preprocess(src_image, size, size);
//set class label
cxcore.CvGetRow(ref trainClasses, ref row, i * train_samples + j);
cxcore.CvSet(ref row, cxtypes.cvRealScalar(i));
CvMat row_header = new CvMat();
CvMat row1 = new CvMat();
//set data
cxcore.CvGetRow(ref trainData, ref row, i * train_samples + j);
img = cxcore.CvCreateImage(new CvSize(size, size), (int)cxtypes.IPL_DEPTH_32F, 1);
//convert 8bits image to 32 bits
cxcore.CvConvertScale(ref prs_image, ref img, 0.0039215, 0);
cxcore.CvGetSubRect(ref img, ref data, new CvRect(0, 0, size, size));
//convert data matrix size x size to vector
row1 = cxcore.CvReshape(ref data, ref row_header, 0, 1);
cxcore.CvCopy(ref row1, ref row);
cxcore.CvReleaseImage(ref src_image);
cxcore.CvReleaseImage(ref prs_image);
cxcore.CvReleaseImage(ref img);
}
}
}
