1// Copyright 2019 Google LLC.
2//
3// Licensed under the Apache License, Version 2.0 (the "License");
4// you may not use this file except in compliance with the License.
5// You may obtain a copy of the License at
6//
7//     http://www.apache.org/licenses/LICENSE-2.0
8//
9// Unless required by applicable law or agreed to in writing, software
10// distributed under the License is distributed on an "AS IS" BASIS,
11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12// See the License for the specific language governing permissions and
13// limitations under the License.
14//
15
16syntax = "proto3";
17
18package google.cloud.vision.v1p4beta1;
19
20import "google/cloud/vision/v1p4beta1/geometry.proto";
21
22option cc_enable_arenas = true;
23option go_package = "cloud.google.com/go/vision/apiv1p4beta1/visionpb;visionpb";
24option java_multiple_files = true;
25option java_outer_classname = "CelebrityProto";
26option java_package = "com.google.cloud.vision.v1p4beta1";
27option objc_class_prefix = "GCVN";
28
29// Parameters for a celebrity recognition request.
30message FaceRecognitionParams {
31  // The resource names for one or more
32  // [CelebritySet][google.cloud.vision.v1p4beta1.CelebritySet]s. A celebrity
33  // set is preloaded and can be specified as "builtin/default". If this is
34  // specified, the algorithm will try to match the faces detected in the input
35  // image to the Celebrities in the CelebritySets.
36  repeated string celebrity_set = 1;
37}
38
39// A Celebrity is a group of Faces with an identity.
40message Celebrity {
41  // The resource name of the preloaded Celebrity. Has the format
42  // `builtin/{mid}`.
43  string name = 1;
44
45  // The Celebrity's display name.
46  string display_name = 2;
47
48  // The Celebrity's description.
49  string description = 3;
50}
51
52// Information about a face's identity.
53message FaceRecognitionResult {
54  // The [Celebrity][google.cloud.vision.v1p4beta1.Celebrity] that this face was
55  // matched to.
56  Celebrity celebrity = 1;
57
58  // Recognition confidence. Range [0, 1].
59  float confidence = 2;
60}
61