def test_calculateLargeFeatureSet(self):
ft1 = Signatures.LargeFeatureSet(self.image1)
self.assertEqual(len(ft1.names), self.LargeFSexpectedLen)
self.assertTrue(all([re.match('^.+ \[\d+\]$', n) for n in ft1.names]))
self.assertEqual(len(set(ft1.names)), self.LargeFSexpectedLen)
self.assertEqual(len(ft1.values), self.LargeFSexpectedLen)
self.assertFalse(any(np.isinf(ft1.values)))
self.assertFalse(any(np.isnan(ft1.values)))
ft2 = Signatures.LargeFeatureSet(self.image2)
self.assertEqual(ft1.names, ft2.names)
self.assertEqual(len(ft2.values), self.LargeFSexpectedLen)
self.assertFalse(any(np.isinf(ft2.values)))
self.assertFalse(any(np.isnan(ft2.values)))
def test_LargeFeatureSetGrayscale(self):
"""Large feature set, grayscale image"""
reference_sample = Signatures.NewFromSigFile(
self.sig_file_path, image_path=self.test_tif_path)
target_sample = Signatures.LargeFeatureSet(self.test_tif_path)
for target_val, res_val in zip(reference_sample.values,
target_sample.values):
self.assertAlmostEqual(target_val, res_val, delta=self.epsilon)
