def test_multiple_crop_and_uncrop_nearest_outside(self):
"""
test combination of multiple crop
"""
shape = [10, 11, 5]
img_in = np.random.random(shape)
crinfo1 = [[2, 8], [3, 9], [2, 5]]
# crinfo2 = [[2, 5], [1, 5], [1, 2]]
img_cropped = ima.crop(img_in, crinfo1)
# img_cropped = imma.crop(img_cropped, crinfo2)
# crinfo_combined = imma.combinecrinfo(crinfo1, crinfo2)
img_uncropped = ima.uncrop(img_cropped, crinfo1, shape, outside_mode="nearest")
# import sed3
# ed = sed3.sed3(img_uncropped)
# ed.show()
self.assertTrue(img_uncropped[4, 4, 3] == img_in[4, 4, 3])
self.assertTrue(img_uncropped[crinfo1[0][0], 5, 3] == img_uncropped[0, 5, 3], msg="pixels under crop")
self.assertTrue(img_uncropped[5, crinfo1[1][0], 3] == img_uncropped[5, 0, 3], msg="pixels under crop")
self.assertTrue(img_uncropped[7, 3, crinfo1[2][0]] == img_uncropped[7, 3, 0], msg="pixels under crop")
self.assertTrue(img_uncropped[crinfo1[0][1] - 1, 5, 3] == img_uncropped[-1, 5, 3], msg="pixels over crop")
self.assertTrue(img_uncropped[5, crinfo1[1][1] - 1, 3] == img_uncropped[5, -1, 3], msg="pixels over crop")
self.assertTrue(img_uncropped[7, 3, crinfo1[2][1] - 1] == img_uncropped[7, 3, -1], msg="pixels over crop")
# self.assertTrue(img_uncropped[crinfo1[0][1], 5 , 3] == img_uncropped[0, 5, 3], msg="pixels over crop")
# self.assertTrue(img_uncropped[crinfo1[1][1], 5 , 3] == img_uncropped[1, 5, 3], msg="pixels over crop")
# self.assertTrue(img_uncropped[crinfo1[2][1], 5 , 3] == img_uncropped[2, 5, 3], msg="pixels over crop")
self.assertEquals(img_in.shape, img_uncropped.shape)
def test_uncrop_with_none_crinfo(self):
shape = [10, 10, 5]
orig_shape = [15, 13, 7]
img_in = np.random.random(shape)
img_uncropped = ima.uncrop(img_in, crinfo=None, orig_shape=orig_shape)
self.assertTrue(img_uncropped[-1, -1, -1] == 0)
self.assertTrue(img_uncropped[4, 4, 3] == img_in[4, 4, 3])
def test_multiple_crop_and_uncrop_nearest_outside(self):
"""
test combination of multiple crop
"""
shape = [10, 11, 5]
img_in = np.random.random(shape)
crinfo1 = [[2, 8], [3, 9], [2, 5]]
# crinfo2 = [[2, 5], [1, 5], [1, 2]]
img_cropped = ima.crop(img_in, crinfo1)
# img_cropped = imma.crop(img_cropped, crinfo2)
# crinfo_combined = imma.combinecrinfo(crinfo1, crinfo2)
img_uncropped = ima.uncrop(img_cropped,
crinfo1,
shape,
outside_mode="nearest")
# import sed3
# ed = sed3.sed3(img_uncropped)
# ed.show()
self.assertTrue(img_uncropped[4, 4, 3] == img_in[4, 4, 3])
self.assertTrue(
img_uncropped[crinfo1[0][0], 5, 3] == img_uncropped[0, 5, 3],
msg="pixels under crop",
)
self.assertTrue(
img_uncropped[5, crinfo1[1][0], 3] == img_uncropped[5, 0, 3],
msg="pixels under crop",
)
self.assertTrue(
img_uncropped[7, 3, crinfo1[2][0]] == img_uncropped[7, 3, 0],
msg="pixels under crop",
)
self.assertTrue(
img_uncropped[crinfo1[0][1] - 1, 5, 3] == img_uncropped[-1, 5, 3],
msg="pixels over crop",
)
self.assertTrue(
img_uncropped[5, crinfo1[1][1] - 1, 3] == img_uncropped[5, -1, 3],
msg="pixels over crop",
)
self.assertTrue(
img_uncropped[7, 3, crinfo1[2][1] - 1] == img_uncropped[7, 3, -1],
msg="pixels over crop",
)
# self.assertTrue(img_uncropped[crinfo1[0][1], 5 , 3] == img_uncropped[0, 5, 3], msg="pixels over crop")
# self.assertTrue(img_uncropped[crinfo1[1][1], 5 , 3] == img_uncropped[1, 5, 3], msg="pixels over crop")
# self.assertTrue(img_uncropped[crinfo1[2][1], 5 , 3] == img_uncropped[2, 5, 3], msg="pixels over crop")
self.assertEquals(img_in.shape, img_uncropped.shape)
def test_uncrop_with_start_point_crinfo(self):
shape = [10, 10, 5]
orig_shape = [15, 13, 7]
img_in = np.random.random(shape)
crinfo = [5, 2, 1]
img_uncropped = ima.uncrop(img_in, crinfo=crinfo, orig_shape=orig_shape)
self.assertTrue(img_uncropped[-1, -1, -1] == 0)
self.assertTrue(img_uncropped[4 + 5, 4 + 2, 3 + 1] == img_in[4 , 4, 3])
def test_crop_and_uncrop(self):
shape = [10, 10, 5]
img_in = np.random.random(shape)
crinfo = [[2, 8], [3, 9], [2, 5]]
img_cropped = ima.crop(img_in, crinfo)
img_uncropped = ima.uncrop(img_cropped, crinfo, shape)
self.assertTrue(img_uncropped[4, 4, 3] == img_in[4, 4, 3])
def test_crop_and_uncrop(self):
shape = [10, 10, 5]
img_in = np.random.random(shape)
crinfo = [[2, 8], [3, 9], [2, 5]]
img_cropped = ima.crop(img_in, crinfo)
img_uncropped = ima.uncrop(img_cropped, crinfo, shape)
self.assertTrue(img_uncropped[4, 4, 3] == img_in[4, 4, 3])
def test_uncrop_with_start_point_crinfo(self):
shape = [10, 10, 5]
orig_shape = [15, 13, 7]
img_in = np.random.random(shape)
crinfo = [5, 2, 1]
img_uncropped = ima.uncrop(img_in,
crinfo=crinfo,
orig_shape=orig_shape)
self.assertTrue(img_uncropped[-1, -1, -1] == 0)
self.assertTrue(img_uncropped[4 + 5, 4 + 2, 3 + 1] == img_in[4, 4, 3])
def test_random_multiple_crop_and_uncrop(self):
"""
test combination of multiple crop
"""
shape = np.random.randint(10, 30, 3)
# shape = [10, 10, 5]
img_in = np.random.random(shape)
crinfo1 = [
sorted(np.random.randint(0, shape[0], 2)),
sorted(np.random.randint(0, shape[1], 2)),
sorted(np.random.randint(0, shape[2], 2)),
]
crinfo2 = [
sorted(np.random.randint(0, shape[0], 2)),
sorted(np.random.randint(0, shape[1], 2)),
sorted(np.random.randint(0, shape[2], 2)),
]
img_cropped = ima.crop(img_in, crinfo1)
img_cropped = ima.crop(img_cropped, crinfo2)
crinfo_combined = ima.combinecrinfo(crinfo1, crinfo2)
img_uncropped = ima.uncrop(img_cropped, crinfo_combined, shape)
logger.debug("shape " + str(shape))
logger.debug("crinfo_combined " + str(crinfo_combined))
logger.debug("img_cropped.shape" + str(img_cropped.shape))
logger.debug("img_uncropped.shape" + str(img_uncropped.shape))
self.assertEquals(img_in.shape, img_uncropped.shape)
# sonda indexes inside cropped area
# cr_com = np.asarray(crinfo_combined)
# if np.all((cr_com[:, 1] - cr_com[:, 0]) > 1):
if np.all(img_cropped.shape > 1):
# sometimes the combination of crinfo has zero size in one dimension
sonda = np.array([
np.random.randint(crinfo_combined[0][0],
crinfo_combined[0][1] - 1),
np.random.randint(crinfo_combined[1][0],
crinfo_combined[1][1] - 1),
np.random.randint(crinfo_combined[2][0],
crinfo_combined[2][1] - 1),
])
sonda_intensity_uncropped = img_uncropped[sonda[0], sonda[1],
sonda[2]]
sonda_intensity_in = img_in[sonda[0], sonda[1], sonda[2]]
self.assertEquals(sonda_intensity_in, sonda_intensity_uncropped)
def test_random_multiple_crop_and_uncrop(self):
"""
test combination of multiple crop
"""
shape = np.random.randint(10, 30, 3)
# shape = [10, 10, 5]
img_in = np.random.random(shape)
crinfo1 = [
sorted(np.random.randint(0, shape[0], 2)),
sorted(np.random.randint(0, shape[1], 2)),
sorted(np.random.randint(0, shape[2], 2))
]
crinfo2 = [
sorted(np.random.randint(0, shape[0], 2)),
sorted(np.random.randint(0, shape[1], 2)),
sorted(np.random.randint(0, shape[2], 2))
]
img_cropped = ima.crop(img_in, crinfo1)
img_cropped = ima.crop(img_cropped, crinfo2)
crinfo_combined = ima.combinecrinfo(crinfo1, crinfo2)
img_uncropped = ima.uncrop(img_cropped, crinfo_combined, shape)
logger.debug("shape " + str(shape))
logger.debug("crinfo_combined " + str(crinfo_combined))
logger.debug("img_cropped.shape" + str(img_cropped.shape))
logger.debug("img_uncropped.shape" + str(img_uncropped.shape))
self.assertEquals(img_in.shape, img_uncropped.shape)
# sonda indexes inside cropped area
# cr_com = np.asarray(crinfo_combined)
# if np.all((cr_com[:, 1] - cr_com[:, 0]) > 1):
if np.all(img_cropped.shape > 1):
# sometimes the combination of crinfo has zero size in one dimension
sonda = np.array([
np.random.randint(crinfo_combined[0][0], crinfo_combined[0][1] - 1),
np.random.randint(crinfo_combined[1][0], crinfo_combined[1][1] - 1),
np.random.randint(crinfo_combined[2][0], crinfo_combined[2][1] - 1),
])
sonda_intensity_uncropped = img_uncropped[sonda[0], sonda[1], sonda[2]]
sonda_intensity_in = img_in[sonda[0], sonda[1], sonda[2]]
self.assertEquals(sonda_intensity_in, sonda_intensity_uncropped)
def test_multiple_crop_and_uncrop(self):
"""
test combination of multiple crop
"""
shape = [10, 10, 5]
img_in = np.random.random(shape)
crinfo1 = [[2, 8], [3, 9], [2, 5]]
crinfo2 = [[2, 5], [1, 4], [1, 2]]
img_cropped = ima.crop(img_in, crinfo1)
img_cropped = ima.crop(img_cropped, crinfo2)
crinfo_combined = ima.combinecrinfo(crinfo1, crinfo2)
img_uncropped = ima.uncrop(img_cropped, crinfo_combined, shape)
self.assertTrue(img_uncropped[4, 4, 3] == img_in[4, 4, 3])
self.assertEquals(img_in.shape, img_uncropped.shape)
def test_multiple_crop_and_uncrop(self):
"""
test combination of multiple crop
"""
shape = [10, 10, 5]
img_in = np.random.random(shape)
crinfo1 = [[2, 8], [3, 9], [2, 5]]
crinfo2 = [[2, 5], [1, 4], [1, 2]]
img_cropped = ima.crop(img_in, crinfo1)
img_cropped = ima.crop(img_cropped, crinfo2)
crinfo_combined = ima.combinecrinfo(crinfo1, crinfo2)
img_uncropped = ima.uncrop(img_cropped, crinfo_combined, shape)
self.assertTrue(img_uncropped[4, 4, 3] == img_in[4, 4, 3])
self.assertEquals(img_in.shape, img_uncropped.shape)