class TestSystemDataManager(unittest.TestCase):
def setUp(self):
self.manager = SystemDataManager("test")
self.generate_original_image()
self.generate_patch()
def generate_original_image(self):
# save lena as the original image
lena = data.lena()
self.lena_path = os.path.join(root_system_data, "test",
original_image_dirname, lena_filename)
imsave(self.lena_path, lena)
def generate_patch(self):
# create patch
patch = crop(data.lena(), (15, 15))
self.lena_patch_path = os.path.join(root_system_data, "test",
patch_dirname, lena_filename)
imsave(self.lena_patch_path, patch)
def test_patches(self):
for patch in self.manager.patches():
self.assertEqual(patch.shape, (20, 20, 3))
def test_original_images(self):
images = self.manager.original_images()
n_images = sum(1 for _ in images)
self.assertEqual(n_images, 1)
lena = data.lena()
for image in images:
self.assertEqual(image.shape, lena.shape)
def test_situations(self):
situations = np.array([5.0,0,0,0,1,0,0])
self.assertTrue((self.manager.situations() == situations).all())
def test_has_valid_format(self):
self.assertTrue(self.manager.has_valid_format())
os.remove(self.lena_patch_path)
self.assertFalse(self.manager.has_valid_format())
self.generate_patch()
def train_situation_feature_map(self):
manager = SystemDataManager(dataset_system_male)
situations = manager.situations()
patches = manager.patches()
system_features = patches_to_features(patches)
manager = UserDataManager(self.username)
patches = manager.patches()
user_features = patches_to_features(patches)
features, split_point = concatenate(user_features, system_features)
features = scale(features)
#features = decompose(features, 10)
user_features, system_features = split(features, split_point)
self.regressor.fit(situations, system_features)
self.knn.fit(user_features)
def setUp(self):
self.manager = SystemDataManager("test")
self.generate_original_image()
self.generate_patch()
