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Restored and improved the test_remap Python test

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Ilya Lysenkov 2012-03-26 10:25:24 +00:00
parent a3362864e1
commit 159022844e
1 changed files with 58 additions and 0 deletions
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58
modules/python/test/test.py
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@ -1078,6 +1078,64 @@ class AreaTests(OpenCVTests):
for meth,expected in [(cv.CV_COMP_CORREL, 1.0), (cv.CV_COMP_CHISQR, 0.0), (cv.CV_COMP_INTERSECT, 1.0), (cv.CV_COMP_BHATTACHARYYA, 0.0)]: for meth,expected in [(cv.CV_COMP_CORREL, 1.0), (cv.CV_COMP_CHISQR, 0.0), (cv.CV_COMP_INTERSECT, 1.0), (cv.CV_COMP_BHATTACHARYYA, 0.0)]:
self.assertEqual(cv.CompareHist(h, h, meth), expected) self.assertEqual(cv.CompareHist(h, h, meth), expected)
def test_remap(self):
rng = cv.RNG(0)
raw = cv.CreateImage((640, 480), cv.IPL_DEPTH_8U, 1)
for x in range(0, 640, 20):
cv.Line(raw, (x,0), (x,480), 255, 1)
for y in range(0, 480, 20):
cv.Line(raw, (0,y), (640,y), 255, 1)
intrinsic_mat = cv.CreateMat(3, 3, cv.CV_32FC1)
distortion_coeffs = cv.CreateMat(1, 4, cv.CV_32FC1)
cv.SetZero(intrinsic_mat)
intrinsic_mat[0,2] = 320.0
intrinsic_mat[1,2] = 240.0
intrinsic_mat[0,0] = 320.0
intrinsic_mat[1,1] = 320.0
intrinsic_mat[2,2] = 1.0
cv.SetZero(distortion_coeffs)
distortion_coeffs[0,0] = 1e-1
mapx = cv.CreateImage((640, 480), cv.IPL_DEPTH_32F, 1)
mapy = cv.CreateImage((640, 480), cv.IPL_DEPTH_32F, 1)
cv.SetZero(mapx)
cv.SetZero(mapy)
cv.InitUndistortMap(intrinsic_mat, distortion_coeffs, mapx, mapy)
rect = cv.CreateImage((640, 480), cv.IPL_DEPTH_8U, 1)
(w,h) = (640,480)
rMapxy = cv.CreateMat(h, w, cv.CV_16SC2)
rMapa = cv.CreateMat(h, w, cv.CV_16UC1)
cv.ConvertMaps(mapx,mapy,rMapxy,rMapa)
cv.Remap(raw, rect, mapx, mapy)
cv.Remap(raw, rect, rMapxy, rMapa)
cv.Undistort2(raw, rect, intrinsic_mat, distortion_coeffs)
for w in [1, 4, 4095, 4096, 4097, 4100]:
p = cv.CreateImage((w,256), 8, 1)
up = cv.CreateImage((w,256), 8, 1)
cv.Undistort2(p, up, intrinsic_mat, distortion_coeffs)
fptypes = [cv.CV_32FC1, cv.CV_64FC1]
for t0 in fptypes:
for t1 in fptypes:
for t2 in fptypes:
for t3 in fptypes:
rotation_vector = cv.CreateMat(1, 3, t0)
translation_vector = cv.CreateMat(1, 3, t1)
cv.RandArr(rng, rotation_vector, cv.CV_RAND_UNI, -1.0, 1.0)
cv.RandArr(rng, translation_vector, cv.CV_RAND_UNI, -1.0, 1.0)
object_points = cv.CreateMat(7, 3, t2)
image_points = cv.CreateMat(7, 2, t3)
cv.RandArr(rng, object_points, cv.CV_RAND_UNI, -100.0, 100.0)
cv.ProjectPoints2(object_points, rotation_vector, translation_vector, intrinsic_mat, distortion_coeffs, image_points)
object_points = cv.CreateMat(3, 7, t2)
image_points = cv.CreateMat(2, 7, t3)
cv.RandArr(rng, object_points, cv.CV_RAND_UNI, -100.0, 100.0)
cv.ProjectPoints2(object_points, rotation_vector, translation_vector, intrinsic_mat, distortion_coeffs, image_points)
def test_arithmetic(self): def test_arithmetic(self):
a = cv.CreateMat(4, 4, cv.CV_8UC1) a = cv.CreateMat(4, 4, cv.CV_8UC1)
a[0,0] = 50.0 a[0,0] = 50.0