-
Notifications
You must be signed in to change notification settings - Fork 2.2k
/
text_extraction.proto
51 lines (42 loc) · 2.23 KB
/
text_extraction.proto
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
// Copyright 2021 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.cloud.aiplatform.v1.schema.predict.prediction;
option csharp_namespace = "Google.Cloud.AIPlatform.V1.Schema.Predict.Prediction";
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
option java_multiple_files = true;
option java_outer_classname = "TextExtractionPredictionResultProto";
option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
option php_namespace = "Google\\Cloud\\AIPlatform\\V1\\Schema\\Predict\\Prediction";
option ruby_package = "Google::Cloud::AIPlatform::V1::Schema::Predict::Prediction";
// Prediction output format for Text Extraction.
message TextExtractionPredictionResult {
// The resource IDs of the AnnotationSpecs that had been identified,
// ordered by the confidence score descendingly.
repeated int64 ids = 1;
// The display names of the AnnotationSpecs that had been identified,
// order matches the IDs.
repeated string display_names = 2;
// The start offsets, inclusive, of the text segment in which the
// AnnotationSpec has been identified. Expressed as a zero-based number
// of characters as measured from the start of the text snippet.
repeated int64 text_segment_start_offsets = 3;
// The end offsets, inclusive, of the text segment in which the
// AnnotationSpec has been identified. Expressed as a zero-based number
// of characters as measured from the start of the text snippet.
repeated int64 text_segment_end_offsets = 4;
// The Model's confidences in correctness of the predicted IDs, higher
// value means higher confidence. Order matches the Ids.
repeated float confidences = 5;
}