Update to 2.0.0 tree from current Fremantle build

[opencv] / samples / swig_python / houghlines.py

diff --git a/samples/swig_python/houghlines.py b/samples/swig_python/houghlines.py
new file mode 100755 (executable)
index 0000000..385e7e6
--- /dev/null
+++ b/samples/swig_python/houghlines.py
@@ -0,0 +1,59 @@
+#!/usr/bin/python
+# This is a standalone program. Pass an image name as a first parameter of the program.
+
+import sys
+from math import sin,cos,sqrt
+from opencv.cv import *
+from opencv.highgui import *
+
+# toggle between CV_HOUGH_STANDARD and CV_HOUGH_PROBILISTIC
+USE_STANDARD=0
+
+if __name__ == "__main__":
+    filename = "../../docs/ref/pics/building.jpg"
+    if len(sys.argv)>1:
+        filename = sys.argv[1]
+
+    src=cvLoadImage(filename, 0);
+    if not src:
+        print "Error opening image %s" % filename
+        sys.exit(-1)
+
+    dst = cvCreateImage( cvGetSize(src), 8, 1 );
+    color_dst = cvCreateImage( cvGetSize(src), 8, 3 );
+    storage = cvCreateMemStorage(0);
+    lines = 0;
+    cvCanny( src, dst, 50, 200, 3 );
+    cvCvtColor( dst, color_dst, CV_GRAY2BGR );
+
+    if USE_STANDARD:
+        lines = cvHoughLines2( dst, storage, CV_HOUGH_STANDARD, 1, CV_PI/180, 100, 0, 0 );
+
+        for i in range(min(lines.total, 100)):
+            line = lines[i]
+            rho = line[0];
+            theta = line[1];
+            pt1 = CvPoint();
+            pt2 = CvPoint();
+            a = cos(theta);
+            b = sin(theta);
+            x0 = a*rho 
+            y0 = b*rho
+            pt1.x = cvRound(x0 + 1000*(-b));
+            pt1.y = cvRound(y0 + 1000*(a));
+            pt2.x = cvRound(x0 - 1000*(-b));
+            pt2.y = cvRound(y0 - 1000*(a));
+            cvLine( color_dst, pt1, pt2, CV_RGB(255,0,0), 3, 8 );
+
+    else:
+        lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/180, 50, 50, 10 );
+        for line in lines:
+            cvLine( color_dst, line[0], line[1], CV_RGB(255,0,0), 3, 8 );
+
+    cvNamedWindow( "Source", 1 );
+    cvShowImage( "Source", src );
+
+    cvNamedWindow( "Hough", 1 );
+    cvShowImage( "Hough", color_dst );
+
+    cvWaitKey(0);