def test_image_coord_regress(self): self.calibration.set_pos(np.array([0, 0, 40])) self.calibration.set_angles(np.array([0, 0, 0])) self.calibration.set_primary_point(np.array([0, 0, 10])) self.calibration.set_glass_vec(np.array([0, 0, 20])) self.calibration.set_radial_distortion(np.array([0, 0, 0])) self.calibration.set_decentering(np.array([0, 0])) self.calibration.set_affine_trans(np.array([1, 0])) self.mult = MultimediaParams(n1=1, n2=np.array([1]), n3=1, d=np.array([1])) input = np.array([[10., 5., -20.], [10., 5., -20.]]) # vec3d output = np.zeros((2, 2)) x = 10. / 6. y = x / 2. correct_output = np.array([[x, y], [x, y]]) flat_image_coordinates(input=input, cal=self.calibration, mult_params=self.mult, output=output) np.testing.assert_array_equal(output, correct_output) output = np.full((2, 2), 999.) image_coordinates(input=input, cal=self.calibration, mult_params=self.mult, output=output) np.testing.assert_array_equal(output, correct_output)
def test_mm_np_instantiation(self): n2_np = numpy.array([11,22,33]) d_np = numpy.array([55,66,77]) m = MultimediaParams(nlay=3, n1=2, n2=n2_np, d=d_np, n3=4, lut=1) self.failUnlessEqual(m.get_nlay(), 3) self.failUnlessEqual(m.get_n1(), 2) self.failUnlessEqual(m.get_n3(), 4) self.failUnlessEqual(m.get_lut(), 1) numpy.testing.assert_array_equal(m.get_d(), d_np) numpy.testing.assert_array_equal(m.get_n2(), n2_np) self.failUnlessEqual(m.__str__(), "nlay=\t3 \nn1=\t2.0 \nn2=\t{11.0, 22.0, 33.0} \nd=\t{55.0, 66.0, 77.0} \nn3=\t4.0 \nlut=\t1 ")
def test_mm_np_instantiation(self): n2_np = numpy.array([11, 22, 33]) d_np = numpy.array([55, 66, 77]) # Initialize MultimediaParams object (uses all setters of MultimediaParams) m = MultimediaParams(n1=2, n2=n2_np, d=d_np, n3=4) self.failUnlessEqual(m.get_nlay(), 3) self.failUnlessEqual(m.get_n1(), 2) self.failUnlessEqual(m.get_n3(), 4) self.failUnlessEqual(m.get_nlay(), len(d_np)) numpy.testing.assert_array_equal(m.get_d(), d_np) numpy.testing.assert_array_equal(m.get_n2(), n2_np) self.failUnlessEqual(m.__str__(), "nlay=\t3 \nn1=\t2.0 \nn2=\t{11.0, 22.0, 33.0} \nd=\t{55.0, 66.0, 77.0} \nn3=\t4.0 ") # pass two arrays with different number of elements new_arr = numpy.array([1, 2, 3, 4]) with self.assertRaises(ValueError): m.set_layers(new_arr, d_np) new_arr = numpy.array([1, 2, 3]) arr = m.get_n2(copy=False) # don't copy the values: link directly to memory arr[0] = 77.77 arr[1] = 88.88 arr[2] = 99.99 # assert that the arr affected the contents of m object numpy.testing.assert_array_equal(m.get_n2(), [77.77, 88.88, 99.99])