Update Likelihood protobuf conversion.

vision/google/cloud/vision/annotations.py

@@ -119,6 +119,7 @@ def _process_image_annotations(image):
     :returns: Dictionary populated with entities from response.
     """
     return {
+        'faces': _make_faces_from_pb(image.face_annotations),
         'labels': _make_entity_from_pb(image.label_annotations),
         'landmarks': _make_entity_from_pb(image.landmark_annotations),
         'logos': _make_entity_from_pb(image.logo_annotations),

vision/google/cloud/vision/face.py

@@ -17,21 +17,13 @@
 
 from enum import Enum
 
+from google.cloud.grpc.vision.v1 import image_annotator_pb2
+
 from google.cloud.vision.geometry import BoundsBase
 from google.cloud.vision.likelihood import Likelihood
 from google.cloud.vision.geometry import Position
 
 
-LIKELIHOOD_PB = {
-    0: 'UNKNOWN',
-    1: 'VERY_UNLIKELY',
-    2: 'UNLIKELY',
-    3: 'POSSIBLE',
-    4: 'LIKELY',
-    5: 'VERY_LIKELY',
-}
-
-
 def _get_pb_likelihood(likelihood):
     """Convert gRPC Likelihood integer value to Likelihood instance.
 
@@ -41,7 +33,7 @@ def _get_pb_likelihood(likelihood):
     :rtype: :class:`~google.cloud.vision.likelihood.Likelihood`
     :returns: Instance of ``Likelihood`` converted from gRPC value.
     """
-    likelihood_pb = LIKELIHOOD_PB.get(likelihood)
+    likelihood_pb = image_annotator_pb2.Likelihood.Name(likelihood)
     return Likelihood[likelihood_pb]
 
 
@@ -256,8 +248,7 @@ def from_pb(cls, response):
         detection_confidence = response.detection_confidence
         emotions = Emotions.from_pb(response)
         fd_bounds = FDBounds.from_pb(response.fd_bounding_poly)
-        headwear_likelihood = Likelihood[
-            LIKELIHOOD_PB[response.headwear_likelihood]]
+        headwear_likelihood = _get_pb_likelihood(response.headwear_likelihood)
         image_properties = FaceImageProperties.from_pb(response)
         landmarks = Landmarks.from_pb(response.landmarks)
         landmarking_confidence = response.landmarking_confidence