def extractionFeatures(self, image_path):
try:
self.image_path = image_path
img = Image.open(self.image_path).convert('RGB')
features = tas(np.asanyarray(img))
return features
except Exception as e:
print(
'\n################# (TAS) - Error in processing! #################\n',
e, '\n')
def calculate(self, resource):
#initalizing
except_image_only(resource)
image_uri = resource.image
#image_uri = BQServer().prepare_url(image_uri, remap='display')
im = image2numpy(image_uri, remap='display')
im = np.uint8(im)
descriptor = tas(im)
#initalizing rows for the table
return descriptor
def test_tas():
np.random.seed(22)
f = np.random.rand(1024, 1024)
f = (f * 255).astype(np.uint8)
assert np.abs(tas(f).sum()-6) < 0.0001
assert np.abs(pftas(f).sum()-6) < 0.0001
def test_4d():
np.random.seed(22)
f = np.random.rand(16,16,16,16)
f = (f * 255).astype(np.uint8)
tas(f)
def test_tas():
np.random.seed(22)
f = np.random.rand(1024, 1024)
f = (f * 255).astype(np.uint8)
assert np.abs(tas(f).sum() - 6) < 0.0001
assert np.abs(pftas(f).sum() - 6) < 0.0001
def test_4d():
np.random.seed(22)
f = np.random.rand(16, 16, 16, 16)
f = (f * 255).astype(np.uint8)
tas(f)
def test_4d():
np.random.seed(22)
f = np.random.rand(16, 16, 16, 16)
f = (f * 255).astype(np.uint8)
with pytest.raises(ValueError):
tas(f)
