def test_learnKnownObject(self):
self.db_mock.get_feature = Mock(return_value=123)
object_name = "green cover"
object_spatial_desc = None
object_entity = ObjectEntity()
object_entity.name = object_name
object_entity.spatial_descriptions = object_spatial_desc
self.returned = self.grounding.learn_new_object(object_entity)
self.assertEqual(self.returned.error_code,
GroundingErrorType.ALREADY_KNOWN)
def test_unknownObject(self):
object_info = ObjectInfoWithFeatures()
features = []
object_info.features = np.array([1, 1, 1, 1, 1])
object_info.bbox_xxyy = np.array([1, 2, 3, 4])
object_info.mask_full = np.array([4, 3, 2, 1])
object_info.mask_cropped = np.array([5, 5, 5, 5])
features.append(object_info)
self.vision_mock.get_masks_with_features = Mock(return_value=features)
object_name = "albert is cool"
object_spatial_desc = None
object_entity = ObjectEntity()
object_entity.name = object_name
self.returned = self.grounding.find_object(object_entity)
self.assertEqual(self.returned.error_code, GroundingErrorType.UNKNOWN)
def test_updateCorrectObject(self):
object_info = ObjectInfoWithFeatures()
features = []
object_info.features = np.array([1, 1, 1, 1, 1])
object_info.bbox_xxyy = np.array([1, 2, 3, 4])
object_info.mask_full = np.array([4, 3, 2, 1])
object_info.mask_cropped = np.array([5, 5, 5, 5])
features.append(object_info)
self.vision_mock.get_masks_with_features = Mock(return_value=features)
object_name = "black cover"
object_spatial_desc = None
object_entity = ObjectEntity()
object_entity.name = object_name
object_entity.spatial_descriptions = object_spatial_desc
self.returned = self.grounding.update_features(object_entity)
self.assertTrue(self.returned.is_success)
def test_newObject(self):
object_info = ObjectInfoWithFeatures()
features = []
object_info.features = np.array([1, 1, 1, 1, 1])
object_info.bbox_xxyy = np.array([1, 2, 3, 4])
object_info.mask_full = np.array([4, 3, 2, 1])
object_info.mask_cropped = np.array([5, 5, 5, 5])
features.append(object_info)
self.vision_mock.get_masks_with_features = Mock(return_value=features)
entity_name = "green cover" # Make sure this is a new object.
spatial_desc = None
object_entity = ObjectEntity()
object_entity.name = entity_name
object_entity.spatial_descriptions = spatial_desc
self.returned = self.grounding.learn_new_object(object_entity)
self.assertTrue(self.returned.is_success)
def test_learnKnownObject(self):
object_info = ObjectInfoWithFeatures()
features = []
object_info.features = np.array([1, 1, 1, 1, 1])
object_info.bbox_xxyy = np.array([1, 2, 3, 4])
object_info.mask_full = np.array([4, 3, 2, 1])
object_info.mask_cropped = np.array([5, 5, 5, 5])
features.append(object_info)
self.vision_mock.get_masks_with_features = Mock(return_value=features)
object_name = "black cover"
object_spatial_desc = None
object_entity = ObjectEntity()
object_entity.name = object_name
object_entity.spatial_descriptions = object_spatial_desc
self.returned = self.grounding.learn_new_object(object_entity)
self.assertEqual(self.returned.error_code,
GroundingErrorType.ALREADY_KNOWN)