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434 lines
16 KiB
434 lines
16 KiB
6 years ago
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// Copyright 2018 Google Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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syntax = "proto3";
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package google.cloud.videointelligence.v1p1beta1;
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import "google/api/annotations.proto";
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import "google/longrunning/operations.proto";
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import "google/protobuf/duration.proto";
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import "google/protobuf/timestamp.proto";
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import "google/rpc/status.proto";
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option csharp_namespace = "Google.Cloud.VideoIntelligence.V1P1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1p1beta1;videointelligence";
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option java_multiple_files = true;
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option java_outer_classname = "VideoIntelligenceServiceProto";
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option java_package = "com.google.cloud.videointelligence.v1p1beta1";
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option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1p1beta1";
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// Service that implements Google Cloud Video Intelligence API.
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service VideoIntelligenceService {
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// Performs asynchronous video annotation. Progress and results can be
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// retrieved through the `google.longrunning.Operations` interface.
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// `Operation.metadata` contains `AnnotateVideoProgress` (progress).
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// `Operation.response` contains `AnnotateVideoResponse` (results).
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rpc AnnotateVideo(AnnotateVideoRequest)
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returns (google.longrunning.Operation) {
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option (google.api.http) = {
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post: "/v1p1beta1/videos:annotate"
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body: "*"
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};
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}
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}
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// Video annotation request.
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message AnnotateVideoRequest {
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// Input video location. Currently, only
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// [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
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// supported, which must be specified in the following format:
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// `gs://bucket-id/object-id` (other URI formats return
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// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For
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// more information, see [Request URIs](/storage/docs/reference-uris). A video
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// URI may include wildcards in `object-id`, and thus identify multiple
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// videos. Supported wildcards: '*' to match 0 or more characters;
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// '?' to match 1 character. If unset, the input video should be embedded
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// in the request as `input_content`. If set, `input_content` should be unset.
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string input_uri = 1;
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// The video data bytes.
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// If unset, the input video(s) should be specified via `input_uri`.
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// If set, `input_uri` should be unset.
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bytes input_content = 6;
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// Requested video annotation features.
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repeated Feature features = 2;
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// Additional video context and/or feature-specific parameters.
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VideoContext video_context = 3;
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// Optional location where the output (in JSON format) should be stored.
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// Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
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// URIs are supported, which must be specified in the following format:
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// `gs://bucket-id/object-id` (other URI formats return
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// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For
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// more information, see [Request URIs](/storage/docs/reference-uris).
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string output_uri = 4;
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// Optional cloud region where annotation should take place. Supported cloud
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// regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
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// is specified, a region will be determined based on video file location.
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string location_id = 5;
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}
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// Video context and/or feature-specific parameters.
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message VideoContext {
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// Video segments to annotate. The segments may overlap and are not required
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// to be contiguous or span the whole video. If unspecified, each video is
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// treated as a single segment.
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repeated VideoSegment segments = 1;
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// Config for LABEL_DETECTION.
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LabelDetectionConfig label_detection_config = 2;
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// Config for SHOT_CHANGE_DETECTION.
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ShotChangeDetectionConfig shot_change_detection_config = 3;
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// Config for EXPLICIT_CONTENT_DETECTION.
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ExplicitContentDetectionConfig explicit_content_detection_config = 4;
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// Config for SPEECH_TRANSCRIPTION.
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SpeechTranscriptionConfig speech_transcription_config = 6;
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}
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// Config for LABEL_DETECTION.
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message LabelDetectionConfig {
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// What labels should be detected with LABEL_DETECTION, in addition to
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// video-level labels or segment-level labels.
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// If unspecified, defaults to `SHOT_MODE`.
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LabelDetectionMode label_detection_mode = 1;
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// Whether the video has been shot from a stationary (i.e. non-moving) camera.
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// When set to true, might improve detection accuracy for moving objects.
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// Should be used with `SHOT_AND_FRAME_MODE` enabled.
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bool stationary_camera = 2;
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// Model to use for label detection.
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// Supported values: "builtin/stable" (the default if unset) and
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// "builtin/latest".
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string model = 3;
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}
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// Config for SHOT_CHANGE_DETECTION.
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message ShotChangeDetectionConfig {
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// Model to use for shot change detection.
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// Supported values: "builtin/stable" (the default if unset) and
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// "builtin/latest".
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string model = 1;
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}
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// Config for EXPLICIT_CONTENT_DETECTION.
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message ExplicitContentDetectionConfig {
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// Model to use for explicit content detection.
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// Supported values: "builtin/stable" (the default if unset) and
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// "builtin/latest".
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string model = 1;
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}
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// Video segment.
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message VideoSegment {
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// Time-offset, relative to the beginning of the video,
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// corresponding to the start of the segment (inclusive).
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google.protobuf.Duration start_time_offset = 1;
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// Time-offset, relative to the beginning of the video,
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// corresponding to the end of the segment (inclusive).
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google.protobuf.Duration end_time_offset = 2;
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}
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// Video segment level annotation results for label detection.
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message LabelSegment {
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// Video segment where a label was detected.
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VideoSegment segment = 1;
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// Confidence that the label is accurate. Range: [0, 1].
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float confidence = 2;
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}
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// Video frame level annotation results for label detection.
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message LabelFrame {
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// Time-offset, relative to the beginning of the video, corresponding to the
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// video frame for this location.
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google.protobuf.Duration time_offset = 1;
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// Confidence that the label is accurate. Range: [0, 1].
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float confidence = 2;
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}
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// Detected entity from video analysis.
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message Entity {
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// Opaque entity ID. Some IDs may be available in
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// [Google Knowledge Graph Search
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// API](https://developers.google.com/knowledge-graph/).
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string entity_id = 1;
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// Textual description, e.g. `Fixed-gear bicycle`.
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string description = 2;
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// Language code for `description` in BCP-47 format.
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string language_code = 3;
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}
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// Label annotation.
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message LabelAnnotation {
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// Detected entity.
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Entity entity = 1;
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// Common categories for the detected entity.
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// E.g. when the label is `Terrier` the category is likely `dog`. And in some
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// cases there might be more than one categories e.g. `Terrier` could also be
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// a `pet`.
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repeated Entity category_entities = 2;
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// All video segments where a label was detected.
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repeated LabelSegment segments = 3;
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// All video frames where a label was detected.
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repeated LabelFrame frames = 4;
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}
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// Video frame level annotation results for explicit content.
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message ExplicitContentFrame {
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// Time-offset, relative to the beginning of the video, corresponding to the
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// video frame for this location.
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google.protobuf.Duration time_offset = 1;
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// Likelihood of the pornography content..
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Likelihood pornography_likelihood = 2;
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}
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// Explicit content annotation (based on per-frame visual signals only).
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// If no explicit content has been detected in a frame, no annotations are
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// present for that frame.
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message ExplicitContentAnnotation {
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// All video frames where explicit content was detected.
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repeated ExplicitContentFrame frames = 1;
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}
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// Annotation results for a single video.
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message VideoAnnotationResults {
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// Output only. Video file location in
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// [Google Cloud Storage](https://cloud.google.com/storage/).
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string input_uri = 1;
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// Label annotations on video level or user specified segment level.
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// There is exactly one element for each unique label.
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repeated LabelAnnotation segment_label_annotations = 2;
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// Label annotations on shot level.
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// There is exactly one element for each unique label.
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repeated LabelAnnotation shot_label_annotations = 3;
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// Label annotations on frame level.
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// There is exactly one element for each unique label.
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repeated LabelAnnotation frame_label_annotations = 4;
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// Shot annotations. Each shot is represented as a video segment.
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repeated VideoSegment shot_annotations = 6;
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// Explicit content annotation.
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ExplicitContentAnnotation explicit_annotation = 7;
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// Speech transcription.
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repeated SpeechTranscription speech_transcriptions = 11;
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// Output only. If set, indicates an error. Note that for a single
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// `AnnotateVideoRequest` some videos may succeed and some may fail.
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google.rpc.Status error = 9;
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}
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// Video annotation response. Included in the `response`
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// field of the `Operation` returned by the `GetOperation`
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// call of the `google::longrunning::Operations` service.
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message AnnotateVideoResponse {
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// Annotation results for all videos specified in `AnnotateVideoRequest`.
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repeated VideoAnnotationResults annotation_results = 1;
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}
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// Annotation progress for a single video.
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message VideoAnnotationProgress {
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// Output only. Video file location in
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// [Google Cloud Storage](https://cloud.google.com/storage/).
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string input_uri = 1;
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// Output only. Approximate percentage processed thus far. Guaranteed to be
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// 100 when fully processed.
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int32 progress_percent = 2;
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// Output only. Time when the request was received.
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google.protobuf.Timestamp start_time = 3;
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// Output only. Time of the most recent update.
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google.protobuf.Timestamp update_time = 4;
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}
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// Video annotation progress. Included in the `metadata`
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// field of the `Operation` returned by the `GetOperation`
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// call of the `google::longrunning::Operations` service.
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message AnnotateVideoProgress {
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// Progress metadata for all videos specified in `AnnotateVideoRequest`.
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repeated VideoAnnotationProgress annotation_progress = 1;
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}
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// Config for SPEECH_TRANSCRIPTION.
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message SpeechTranscriptionConfig {
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// *Required* The language of the supplied audio as a
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// [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
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// Example: "en-US".
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// See [Language Support](https://cloud.google.com/speech/docs/languages)
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// for a list of the currently supported language codes.
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string language_code = 1;
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// *Optional* Maximum number of recognition hypotheses to be returned.
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// Specifically, the maximum number of `SpeechRecognitionAlternative` messages
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// within each `SpeechRecognitionResult`. The server may return fewer than
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// `max_alternatives`. Valid values are `0`-`30`. A value of `0` or `1` will
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// return a maximum of one. If omitted, will return a maximum of one.
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int32 max_alternatives = 2;
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// *Optional* If set to `true`, the server will attempt to filter out
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// profanities, replacing all but the initial character in each filtered word
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// with asterisks, e.g. "f***". If set to `false` or omitted, profanities
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// won't be filtered out.
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bool filter_profanity = 3;
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// *Optional* A means to provide context to assist the speech recognition.
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repeated SpeechContext speech_contexts = 4;
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// *Optional* If 'true', adds punctuation to recognition result hypotheses.
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// This feature is only available in select languages. Setting this for
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// requests in other languages has no effect at all. The default 'false' value
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// does not add punctuation to result hypotheses. NOTE: "This is currently
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// offered as an experimental service, complimentary to all users. In the
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// future this may be exclusively available as a premium feature."
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bool enable_automatic_punctuation = 5;
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// *Optional* For file formats, such as MXF or MKV, supporting multiple audio
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// tracks, specify up to two tracks. Default: track 0.
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repeated int32 audio_tracks = 6;
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}
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// Provides "hints" to the speech recognizer to favor specific words and phrases
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// in the results.
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message SpeechContext {
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// *Optional* A list of strings containing words and phrases "hints" so that
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// the speech recognition is more likely to recognize them. This can be used
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// to improve the accuracy for specific words and phrases, for example, if
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// specific commands are typically spoken by the user. This can also be used
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// to add additional words to the vocabulary of the recognizer. See
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// [usage limits](https://cloud.google.com/speech/limits#content).
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repeated string phrases = 1;
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}
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// A speech recognition result corresponding to a portion of the audio.
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message SpeechTranscription {
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// Output only. May contain one or more recognition hypotheses (up to the
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// maximum specified in `max_alternatives`).
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// These alternatives are ordered in terms of accuracy, with the top (first)
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// alternative being the most probable, as ranked by the recognizer.
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repeated SpeechRecognitionAlternative alternatives = 1;
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}
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// Alternative hypotheses (a.k.a. n-best list).
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message SpeechRecognitionAlternative {
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// Output only. Transcript text representing the words that the user spoke.
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string transcript = 1;
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// Output only. The confidence estimate between 0.0 and 1.0. A higher number
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// indicates an estimated greater likelihood that the recognized words are
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// correct. This field is typically provided only for the top hypothesis, and
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// only for `is_final=true` results. Clients should not rely on the
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// `confidence` field as it is not guaranteed to be accurate or consistent.
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// The default of 0.0 is a sentinel value indicating `confidence` was not set.
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float confidence = 2;
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// Output only. A list of word-specific information for each recognized word.
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repeated WordInfo words = 3;
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}
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// Word-specific information for recognized words. Word information is only
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// included in the response when certain request parameters are set, such
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// as `enable_word_time_offsets`.
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message WordInfo {
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// Output only. Time offset relative to the beginning of the audio, and
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// corresponding to the start of the spoken word. This field is only set if
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// `enable_word_time_offsets=true` and only in the top hypothesis. This is an
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// experimental feature and the accuracy of the time offset can vary.
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google.protobuf.Duration start_time = 1;
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// Output only. Time offset relative to the beginning of the audio, and
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// corresponding to the end of the spoken word. This field is only set if
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// `enable_word_time_offsets=true` and only in the top hypothesis. This is an
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// experimental feature and the accuracy of the time offset can vary.
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google.protobuf.Duration end_time = 2;
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// Output only. The word corresponding to this set of information.
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string word = 3;
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}
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// Video annotation feature.
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enum Feature {
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// Unspecified.
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FEATURE_UNSPECIFIED = 0;
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// Label detection. Detect objects, such as dog or flower.
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LABEL_DETECTION = 1;
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// Shot change detection.
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SHOT_CHANGE_DETECTION = 2;
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// Explicit content detection.
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EXPLICIT_CONTENT_DETECTION = 3;
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// Speech transcription.
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SPEECH_TRANSCRIPTION = 6;
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}
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// Label detection mode.
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enum LabelDetectionMode {
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// Unspecified.
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LABEL_DETECTION_MODE_UNSPECIFIED = 0;
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// Detect shot-level labels.
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SHOT_MODE = 1;
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// Detect frame-level labels.
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FRAME_MODE = 2;
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// Detect both shot-level and frame-level labels.
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SHOT_AND_FRAME_MODE = 3;
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}
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// Bucketized representation of likelihood.
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enum Likelihood {
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// Unspecified likelihood.
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LIKELIHOOD_UNSPECIFIED = 0;
|
||
|
|
||
|
// Very unlikely.
|
||
|
VERY_UNLIKELY = 1;
|
||
|
|
||
|
// Unlikely.
|
||
|
UNLIKELY = 2;
|
||
|
|
||
|
// Possible.
|
||
|
POSSIBLE = 3;
|
||
|
|
||
|
// Likely.
|
||
|
LIKELY = 4;
|
||
|
|
||
|
// Very likely.
|
||
|
VERY_LIKELY = 5;
|
||
|
}
|