Merge pull request #1187 from vishnukvmd/patch-1

Fix minor error in documentation detailing the default model in use for face_encodings

face_recognition/api.py

@@ -207,7 +207,7 @@ def face_encodings(face_image, known_face_locations=None, num_jitters=1, model="
     :param face_image: The image that contains one or more faces
     :param known_face_locations: Optional - the bounding boxes of each face if you already know them.
     :param num_jitters: How many times to re-sample the face when calculating encoding. Higher is more accurate, but slower (i.e. 100 is 100x slower)
-    :param model: Optional - which model to use. "large" (default) or "small" which only returns 5 points but is faster.
+    :param model: Optional - which model to use. "large" or "small" (default) which only returns 5 points but is faster.
     :return: A list of 128-dimensional face encodings (one for each face in the image)
     """
     raw_landmarks = _raw_face_landmarks(face_image, known_face_locations, model)