def test_images_are_resized(self):
loader = ImageLoader()
loader.load_from(imageLocation, 1)
images = loader.get_images()
for image in images:
self.assertEqual('(30, 30, 3)', str(image.shape))
def test_load_images_from_two_categories(self):
numberOfImages = 60
loader = ImageLoader()
loader.load_from(imageLocation, 2)
images = loader.get_images()
labels = loader.get_labels()
self.assertEqual(numberOfImages, len(images))
self.assertIs(np.ndarray, type(images))
self.assertIs(np.ndarray, type(images[0]))
np.testing.assert_array_equal(np.zeros(30), labels[:30])
np.testing.assert_array_equal(np.ones(30), labels[30:numberOfImages])
self.assertIs(np.ndarray, type(labels))
def test_load_images_from_one_category(self):
numberOfImages = 30
loader = ImageLoader()
loader.load_from(imageLocation, 1)
images = loader.get_images()
labels = loader.get_labels()
self.assertEqual(numberOfImages, len(images))
self.assertIs(np.ndarray, type(images))
self.assertIs(np.ndarray, type(images[0]))
np.testing.assert_array_equal(np.zeros(numberOfImages), labels)
self.assertIs(np.ndarray, type(labels))
