static void test_1()
{
Bitmap app = new Bitmap(@"C:\logs\pictures\save_11.jpg");
Bitmap app1 = new Bitmap(@"C:\logs\pictures\save_12.jpg");
Tuple <bool, Rectangle, Bitmap> menu = ImUtility.extrac_context_menu(app, app1);
if (menu.Item1 && menu.Item3 != null)
{
menu.Item3.Save("temp_1.jpg");
}
Image <Bgr, byte> am = new Image <Bgr, byte>(menu.Item3);
//
Mat t = CvInvoke.Imread(@"C:\logs\pictures\ios_icons\scroll.jpg");
Mat m = new Mat();
CvInvoke.MatchTemplate(am, t, m, TemplateMatchingType.CcoeffNormed);
double max = 0;
double min = 0;
Point maxP = new Point();
Point minP = new Point();
CvInvoke.MinMaxLoc(m, ref min, ref max, ref minP, ref maxP);
Program.logIt(string.Format("{0}: {1}", max, new Rectangle(maxP, t.Size)));
}
static void test_ppm()
{
//string folder = @"C:\projects\local\ca3\ca3";
//foreach(string fn in System.IO.Directory.GetFiles(folder, "*.ppm"))
//{
// ReadBitmapFromPPM(fn).Save("temp_1.jpg");
//}
//ReadBitmapFromPPM(@"C:\projects\svn\FDDev\GreenT Enterprise\Tools\AirPlay\AirplaySdkExample\Debug\screen\frame_0.ppm").Save("temp_1.bmp");
byte[] data = System.IO.File.ReadAllBytes(@"C:\projects\svn\FDDev\GreenT Enterprise\Tools\AirPlay\release\screen\label_1.ppm");
Bitmap b = ImUtility.fromPPM(data);
b.Save("temp_1.jpg");
//Bitmap b1 = new Bitmap(@"C:\projects\svn\FDDev\GreenT Enterprise\Tools\AirPlay\release\screen\label_1.ppm");
}
static void camera_init()
{
Mat img = CvInvoke.Imread(@"C:\logs\pictures\save_10.jpg", ImreadModes.AnyColor);
Tuple <bool, Rectangle, Bitmap> res = ImUtility.extrac_blue_block(img.Bitmap);
if (res.Item3 != null && res.Item1)
{
res.Item3.Save("temp_1.jpg");
}
Tuple <bool, Rectangle> r = ImUtility.extra_blue_block_in_settings(img.Bitmap);
if (r.Item1 && !r.Item2.IsEmpty)
{
Bitmap b = ImUtility.crop_image(img.Bitmap, r.Item2);
b.Save("temp_2.jpg");
}
}
static void test_similarity()
{
Bitmap b1 = new Bitmap("temp_1.jpg");
Bitmap t = new Bitmap(@"C:\projects\local\github\testMQ\testMQ\scripts\get_imei\xhahnbyc.jpg");
Rectangle r = new Rectangle(33, 908, 102, 102);
Bitmap b10 = ImUtility.crop_image(b1, r);
Bitmap b20 = ImUtility.crop_image(t, r);
Image <Gray, Byte> b11 = new Image <Gray, byte>(b10);
Image <Gray, Byte> t11 = new Image <Gray, byte>(b20);
Mat m = new Mat();
CvInvoke.Threshold(b11, m, 0, 255, ThresholdType.Otsu | ThresholdType.Binary);
b1 = m.Bitmap;
CvInvoke.Threshold(t11, m, 0, 255, ThresholdType.Otsu | ThresholdType.Binary);
t = m.Bitmap;
//var res = ImUtility.multiscale_matchtemplate(b1, t);
ImUtility.is_same_image(b1, t);
//b11.Save("temp_2.jpg");
//b21.Save("temp_3.jpg");
//ImUtility.is_same_image(b11, b21);
}
static void test3()
{
Bitmap b1 = new Bitmap(@"C:\logs\pictures\save_01.jpg");
Bitmap b2 = new Bitmap(@"C:\logs\pictures\save_06.jpg");
Rectangle r = ImUtility.detect_blue_rectangle(b1, b2);
Bitmap m = ImUtility.crop_image(b2, r);
m.Save("temp_1.jpg");
//ImUtility.crop_image(m, r).Save("temp_2.jpg");
if (m != null)
{
Image <Gray, Byte> bb1 = new Image <Gray, byte>(m);
Mat tmp = new Mat();
CvInvoke.Threshold(bb1, tmp, 0, 255, ThresholdType.Binary | ThresholdType.Otsu);
tmp.Save("temp_1.jpg");
Rectangle ret = Rectangle.Empty;
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
CvInvoke.FindContours(tmp, contours, null, RetrType.External, ChainApproxMethod.ChainApproxNone);
int count = contours.Size;
double mx = 0.0;
for (int i = 0; i < count; i++)
{
double d = CvInvoke.ContourArea(contours[i]);
if (d > mx)
{
mx = d;
ret = CvInvoke.BoundingRectangle(contours[i]);
Program.logIt(string.Format("{0}: {1}", d, ret));
}
}
}
Image <Bgr, Byte> b = new Image <Bgr, byte>(m);
b.GetSubRect(ret).Save("temp_2.jpg");
}
}
