Update to 2.0.0 tree from current Fremantle build

[opencv] / samples / python / houghlines.py

diff --git a/samples/python/houghlines.py b/samples/python/houghlines.py
deleted file mode 100755 (executable)
index 385e7e6..0000000
--- a/samples/python/houghlines.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/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);