--- /dev/null
+import unittest
+import random
+import time
+import math
+import sys
+import array
+import os
+
+import cv
+
+def find_sample(s):
+ for d in ["../samples/c/", "../doc/pics/"]:
+ path = os.path.join(d, s)
+ if os.access(path, os.R_OK):
+ return path
+ return s
+
+class TestTickets(unittest.TestCase):
+
+ def test_2542670(self):
+ xys = [(94, 121), (94, 122), (93, 123), (92, 123), (91, 124), (91, 125), (91, 126), (92, 127), (92, 128), (92, 129), (92, 130), (92, 131), (91, 132), (90, 131), (90, 130), (90, 131), (91, 132), (92, 133), (92, 134), (93, 135), (94, 136), (94, 137), (94, 138), (95, 139), (96, 140), (96, 141), (96, 142), (96, 143), (97, 144), (97, 145), (98, 146), (99, 146), (100, 146), (101, 146), (102, 146), (103, 146), (104, 146), (105, 146), (106, 146), (107, 146), (108, 146), (109, 146), (110, 146), (111, 146), (112, 146), (113, 146), (114, 146), (115, 146), (116, 146), (117, 146), (118, 146), (119, 146), (120, 146), (121, 146), (122, 146), (123, 146), (124, 146), (125, 146), (126, 146), (126, 145), (126, 144), (126, 143), (126, 142), (126, 141), (126, 140), (127, 139), (127, 138), (127, 137), (127, 136), (127, 135), (127, 134), (127, 133), (128, 132), (129, 132), (130, 131), (131, 130), (131, 129), (131, 128), (132, 127), (133, 126), (134, 125), (134, 124), (135, 123), (136, 122), (136, 121), (135, 121), (134, 121), (133, 121), (132, 121), (131, 121), (130, 121), (129, 121), (128, 121), (127, 121), (126, 121), (125, 121), (124, 121), (123, 121), (122, 121), (121, 121), (120, 121), (119, 121), (118, 121), (117, 121), (116, 121), (115, 121), (114, 121), (113, 121), (112, 121), (111, 121), (110, 121), (109, 121), (108, 121), (107, 121), (106, 121), (105, 121), (104, 121), (103, 121), (102, 121), (101, 121), (100, 121), (99, 121), (98, 121), (97, 121), (96, 121), (95, 121)]
+
+ #xys = xys[:12] + xys[16:]
+ pts = cv.CreateMat(len(xys), 1, cv.CV_32SC2)
+ for i,(x,y) in enumerate(xys):
+ pts[i,0] = (x, y)
+ storage = cv.CreateMemStorage()
+ hull = cv.ConvexHull2(pts, storage)
+ hullp = cv.ConvexHull2(pts, storage, return_points = 1)
+ defects = cv.ConvexityDefects(pts, hull, storage)
+
+ vis = cv.CreateImage((1000,1000), 8, 3)
+ x0 = min([x for (x,y) in xys]) - 10
+ x1 = max([x for (x,y) in xys]) + 10
+ y0 = min([y for (y,y) in xys]) - 10
+ y1 = max([y for (y,y) in xys]) + 10
+ def xform(pt):
+ x,y = pt
+ return (1000 * (x - x0) / (x1 - x0),
+ 1000 * (y - y0) / (y1 - y0))
+
+ for d in defects[:2]:
+ cv.Zero(vis)
+
+ # First draw the defect as a red triangle
+ cv.FillConvexPoly(vis, [xform(p) for p in d[:3]], cv.RGB(255,0,0))
+
+ # Draw the convex hull as a thick green line
+ for a,b in zip(hullp, hullp[1:]):
+ cv.Line(vis, xform(a), xform(b), cv.RGB(0,128,0), 3)
+
+ # Draw the original contour as a white line
+ for a,b in zip(xys, xys[1:]):
+ cv.Line(vis, xform(a), xform(b), (255,255,255))
+
+ self.snap(vis)
+
+ def test_2686307(self):
+ lena = cv.LoadImage(find_sample("lena.jpg"), 1)
+ dst = cv.CreateImage((512,512), 8, 3)
+ cv.Set(dst, (128,192,255))
+ mask = cv.CreateImage((512,512), 8, 1)
+ cv.Zero(mask)
+ cv.Rectangle(mask, (10,10), (300,100), 255, -1)
+ cv.Copy(lena, dst, mask)
+ self.snapL([lena, dst, mask])
+
+ def snap(self, img):
+ self.snapL([img])
+
+ def snapL(self, L):
+ for i,img in enumerate(L):
+ cv.NamedWindow("snap-%d" % i, 1)
+ cv.ShowImage("snap-%d" % i, img)
+ cv.WaitKey()
+ cv.DestroyAllWindows()
+
+if __name__ == '__main__':
+ random.seed(0)
+ if len(sys.argv) == 1:
+ suite = unittest.TestLoader().loadTestsFromTestCase(TestTickets)
+ unittest.TextTestRunner(verbosity=2).run(suite)
+ else:
+ suite = unittest.TestSuite()
+ suite.addTest(TestTickets(sys.argv[1]))
+ unittest.TextTestRunner(verbosity=2).run(suite)
projects / opencv / blobdiff