def test_hash_distinct_images(self, hash_function):
# Put in distinct images and check that hamming distance between hashes is large
hash_im_1 = hash_function(PATH_SINGLE_IMAGE)
hash_im_2 = hash_function(p.parent /
'data/mixed_images/ukbench09268.jpg')
hamdist = Hashing.hamming_distance(hash_im_1, hash_im_2)
assert hamdist > 20
def test_hash_small_rotation(self, hash_function):
# Rotate image slightly (1 degree) and check that hamming distance between hashes is not too large
orig_image = Image.open(PATH_SINGLE_IMAGE)
rotated_image = np.array(orig_image.rotate(1))
hash_im_1 = hash_function(image_array=np.array(orig_image))
hash_im_2 = hash_function(image_array=rotated_image)
hamdist = Hashing.hamming_distance(hash_im_1, hash_im_2)
assert hamdist < 3
def test_hash_resize(self, hash_function):
# Resize one image to (300, 300) and check that hamming distance between hashes is not too large
hash_im_1 = hash_function(PATH_SINGLE_IMAGE)
hash_im_2 = hash_function(PATH_SINGLE_IMAGE_RESIZED)
hamdist = Hashing.hamming_distance(hash_im_1, hash_im_2)
assert hamdist < 3