def test_split(self):
fake_image_shape = FAKE_DIGIT_IMAGE.get_shape().as_list()
fake_image_list = split_image.split_digit_image(FAKE_DIGIT_IMAGE)
# check if the split is a list
self.assertIsInstance(fake_image_list, list)
# check the size of the list is equal to the split size
self.assertEqual(len(fake_image_list), roi_property.DIGIT_IMAGE_SIZE)
fake_image_shape[1] = 1
# check all the split have the desired dimension
for fake_image in fake_image_list:
self.assertEqual(fake_image.get_shape().as_list(), fake_image_shape)
def test_split(self):
fake_image_shape = FAKE_DIGIT_IMAGE.get_shape().as_list()
fake_image_list = split_image.split_digit_image(FAKE_DIGIT_IMAGE)
# check if the split is a list
self.assertIsInstance(fake_image_list, list)
# check the size of the list is equal to the split size
self.assertEqual(len(fake_image_list), roi_property.DIGIT_IMAGE_SIZE)
fake_image_shape[1] = 1
# check all the split have the desired dimension
for fake_image in fake_image_list:
self.assertEqual(fake_image.get_shape().as_list(),
fake_image_shape)
def test_concat_along(self):
fake_image_list = split_image.split_digit_image(FAKE_DIGIT_IMAGE)
kernel_tensor, input_shape = \
concat_image.concat_digit_image_along(fake_image_list, np.arange(0, 28), 5, 1)
# check the size of the shape is equal to the concat size
self.assertEqual(kernel_tensor.get_shape().as_list(), input_shape)
def test_concat_along(self):
fake_image_list = split_image.split_digit_image(FAKE_DIGIT_IMAGE)
kernel_tensor, input_shape = \
concat_image.concat_digit_image_along(fake_image_list, np.arange(0, 28), 5, 1)
# check the size of the shape is equal to the concat size
self.assertEqual(kernel_tensor.get_shape().as_list(), input_shape)