def test_boxfilter(self):
""" Test boxfilter. """
img = CImg(
np.array([[0, 0, 0, 0], [0, 1, 1, 0], [0, 1, 1, 0], [0, 0, 0, 0]]))
img.boxfilter(2, 0, axis="y")
img_expected = CImg(
np.array([[0, 0.25, 0.25, 0], [0, 0.75, 0.75, 0],
[0, 0.75, 0.75, 0], [0, 0.25, 0.25, 0]]))
self.assertTrue(np.allclose(img.asarray(), img_expected.asarray()))
def test_vanvliet(self):
""" Test vanvliet. """
img = CImg(
np.array([[0, 0, 0, 0], [0, 1, 1, 0], [0, 1, 1, 0], [0, 0, 0, 0]]))
img.vanvliet(1, cimg.FIRST_DERIV)
img_expected = CImg(
np.array([[0, 0, 0, 0], [0, 0.21424547, -0.09127644, -0.08401725],
[0, 0.21424547, -0.09127644, -0.08401725], [0, 0, 0,
0]]))
self.assertTrue(np.allclose(img.asarray(), img_expected.asarray()))
def test_blur(self):
""" Test blur. """
img = CImg(
np.array([[0, 0, 0, 0], [0, 1, 1, 0], [0, 1, 1, 0], [0, 0, 0, 0]]))
img.blur(0.5)
img_expected = CImg(
np.array([[0.01423194, 0.10418227, 0.10418227, 0.01423194],
[0.10418227, 0.76264691, 0.76264691, 0.10418226],
[0.10418227, 0.76264691, 0.76264691, 0.10418226],
[0.01423194, 0.10418227, 0.10418227, 0.01423194]]))
self.assertTrue(np.allclose(img.asarray(), img_expected.asarray()))
def test_deriche(self):
""" Test deriche. """
img = CImg(
np.array([[0, 0, 0, 0], [0, 1, 1, 0], [0, 1, 1, 0], [0, 0, 0, 0]]))
img.deriche(1)
img_expected = CImg(
np.array([[0, 0, 0, 0],
[0.26966834, 0.62711906, 0.62711906, 0.26966834],
[0.26966834, 0.62711906, 0.62711906, 0.26966834],
[0, 0, 0, 0]]))
self.assertTrue(np.allclose(img.asarray(), img_expected.asarray()))
def test_fromarray(self):
""" Test construction from array. """
arr = np.ones((100, 50))
im = CImg()
im.fromarray(arr)
self.assertTrue(np.allclose(arr, im.asarray().squeeze()))
invalid_arr = np.ones((2, 3, 4, 5, 6))
self.assertRaises(RuntimeError, im.fromarray, invalid_arr)
def test_draw_rectangle(self):
""" Test draw rectangle."""
img = CImg((5, 5))
img.draw_rectangle(1, 1, 4, 4, 255)
arr = np.array([[0, 0, 0, 0, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 1],
[0, 1, 1, 1, 1], [0, 1, 1, 1, 1]]) * 255
img_expected = CImg(arr)
arr = img.asarray().squeeze()
self.assertEqual(img, img_expected)
def test_invert_endianness(self):
""" Test invert endianness. """
img = CImg((2, 2), dtype=cimg.uint16)
img.fill(0xAAFF)
img.invert_endianness()
print(img.asarray())
img_expected = CImg((2, 2), dtype=cimg.uint16)
img_expected.fill(0xFFAA)
self.assertEqual(img, img_expected)
def test_save_load(self):
""" Test save/load half float. """
im = CImg()
arr = np.random.randn(3, 2, 500, 300)
im.fromarray(arr)
self.assertTrue(np.allclose(arr, im.asarray()))
filename = self._get_testfilename() + '.cimg'
im.save(filename)
im2 = CImg()
im2.load(filename)
self.assertTrue(np.allclose(im2.asarray(), im.asarray()))
os.remove(filename)
# save/load half float
filename = self._get_testfilename() + '.cimg'
im.save_cimg_float16(filename)
im3 = CImg()
im3.load_cimg_float16(filename)
self.assertTrue(np.allclose(im2.asarray(), im.asarray()))
os.remove(filename)
def test_linear_atXY(self):
ia = CImg((2, 2))
# Create simple 2x2 checkerboard
arr = ia.asarray()
arr[0, 0, 0, 1] = 1
arr[0, 0, 1, 1] = 1
ia.resize(4, 4, interpolation_type=cimg.LINEAR)
ib = CImg((2, 2))
arr = ib.asarray()
arr[0, 0, 0, 1] = 1
arr[0, 0, 1, 1] = 1
sc = (2 - 1) / (4 - 1)
ic = CImg((4, 4))
arr = ic.asarray()
for x in range(ic.width):
for y in range(ic.height):
arr[0, 0, y, x] = ib.linear_atXY(sc * x, sc * y, 0, 0)
self.assertTrue(np.allclose(ia.asarray(), ic.asarray()))
def test_norm(self):
""" Test norm. """
img = CImg((10, 10, 1, 3))
arr = img.asarray()
arr[0, :, :, :] = 0
arr[1, :, :, :] = 1
arr[2, :, :, :] = 2
img.norm(cimg.LINF_NORM)
img_expected = CImg((10, 10, 1, 1))
img_expected.fill(2)
self.assertEqual(img, img_expected)
def test_from_numpy(self):
""" Test construction from numpy array. """
arr = np.ones((100, 50))
im = CImg(arr)
self.assertTrue(np.allclose(arr, im.asarray().squeeze()))