generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

#593 add ConvertImage

Browse Source
This commit is contained in:
James Bowman 2010-10-04 17:34:52 +00:00
parent f8a14a0854
commit 5051c635b1
2 changed files with 20 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
modules/python/api
View File

@ -1546,6 +1546,10 @@ CalcOpticalFlowFarneback
int flags 0 int flags 0
# Highgui # Highgui
ConvertImage
CvArr src
CvArr dst
int flags 0
NamedWindow NamedWindow
char* name char* name
int flags CV_WINDOW_AUTOSIZE int flags CV_WINDOW_AUTOSIZE

16
tests/python/test.py
View File

@ -313,6 +313,15 @@ class FunctionTests(OpenCVTests):
# just check that something was drawn # just check that something was drawn
self.assert_(cv.Sum(img)[0] > 0) self.assert_(cv.Sum(img)[0] > 0)
def test_ConvertImage(self):
i1 = cv.GetImage(self.get_sample("samples/c/lena.jpg", 1))
i2 = cv.CloneImage(i1)
i3 = cv.CloneImage(i1)
cv.ConvertImage(i1, i2, cv.CV_CVTIMG_FLIP + cv.CV_CVTIMG_SWAP_RB)
self.assertNotEqual(self.hashimg(i1), self.hashimg(i2))
cv.ConvertImage(i2, i3, cv.CV_CVTIMG_FLIP + cv.CV_CVTIMG_SWAP_RB)
self.assertEqual(self.hashimg(i1), self.hashimg(i3))
def test_ConvexHull2(self): def test_ConvexHull2(self):
# Draw a series of N-pointed stars, find contours, assert the contour is not convex, # Draw a series of N-pointed stars, find contours, assert the contour is not convex,
# assert the hull has N segments, assert that there are N convexity defects. # assert the hull has N segments, assert that there are N convexity defects.
@ -618,6 +627,13 @@ class FunctionTests(OpenCVTests):
self.assertEqual(aslist(m2), range(5, 9)) self.assertEqual(aslist(m2), range(5, 9))
self.assertEqual(aslist(m3), range(6, 8)) self.assertEqual(aslist(m3), range(6, 8))
def test_grabCut(self):
image = self.get_sample("samples/c/lena.jpg", cv.CV_LOAD_IMAGE_COLOR)
tmp1 = cv.CreateMat(1, 13 * 5, cv.CV_32FC1)
tmp2 = cv.CreateMat(1, 13 * 5, cv.CV_32FC1)
mask = cv.CreateMat(image.rows, image.cols, cv.CV_8UC1)
cv.grabCut(image, mask, (10,10,200,200), tmp1, tmp2, 10, cv.GC_INIT_WITH_RECT)
def test_HoughLines2_PROBABILISTIC(self): def test_HoughLines2_PROBABILISTIC(self):
li = cv.HoughLines2(self.yield_line_image(), li = cv.HoughLines2(self.yield_line_image(),
cv.CreateMemStorage(), cv.CreateMemStorage(),