google/cloud/videointelligence/v1/video_intelligence.proto - third_party/googleapis - Git at Google

 // Copyright 2017 Google Inc.
 //
 // 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.videointelligence.v1;

 import "google/api/annotations.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/duration.proto";
 import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";

 option csharp_namespace = "Google.Cloud.VideoIntelligence.V1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1;videointelligence";
 option java_multiple_files = true;
 option java_outer_classname = "VideoIntelligenceServiceProto";
 option java_package = "com.google.cloud.videointelligence.v1";


 // Service that implements Google Cloud Video Intelligence API.
 service VideoIntelligenceService {
   // Performs asynchronous video annotation. Progress and results can be
   // retrieved through the `google.longrunning.Operations` interface.
   // `Operation.metadata` contains `AnnotateVideoProgress` (progress).
   // `Operation.response` contains `AnnotateVideoResponse` (results).
   rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = { post: "/v1/videos:annotate" body: "*" };
   }
 }

 // Video annotation request.
 message AnnotateVideoRequest {
   // Input video location. Currently, only
   // [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
   // supported, which must be specified in the following format:
   // `gs://bucket-id/object-id` (other URI formats return
   // [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
   // [Request URIs](/storage/docs/reference-uris).
   // A video URI may include wildcards in `object-id`, and thus identify
   // multiple videos. Supported wildcards: '*' to match 0 or more characters;
   // '?' to match 1 character. If unset, the input video should be embedded
   // in the request as `input_content`. If set, `input_content` should be unset.
   string input_uri = 1;

   // The video data bytes.
   // If unset, the input video(s) should be specified via `input_uri`.
   // If set, `input_uri` should be unset.
   bytes input_content = 6;

   // Requested video annotation features.
   repeated Feature features = 2;

   // Additional video context and/or feature-specific parameters.
   VideoContext video_context = 3;

   // Optional location where the output (in JSON format) should be stored.
   // Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
   // URIs are supported, which must be specified in the following format:
   // `gs://bucket-id/object-id` (other URI formats return
   // [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
   // [Request URIs](/storage/docs/reference-uris).
   string output_uri = 4;

   // Optional cloud region where annotation should take place. Supported cloud
   // regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
   // is specified, a region will be determined based on video file location.
   string location_id = 5;
 }

 // Video context and/or feature-specific parameters.
 message VideoContext {
   // Video segments to annotate. The segments may overlap and are not required
   // to be contiguous or span the whole video. If unspecified, each video
   // is treated as a single segment.
   repeated VideoSegment segments = 1;

   // Config for LABEL_DETECTION.
   LabelDetectionConfig label_detection_config = 2;

   // Config for SHOT_CHANGE_DETECTION.
   ShotChangeDetectionConfig shot_change_detection_config = 3;

   // Config for EXPLICIT_CONTENT_DETECTION.
   ExplicitContentDetectionConfig explicit_content_detection_config = 4;

   // Config for FACE_DETECTION.
   FaceDetectionConfig face_detection_config = 5;
 }

 // Config for LABEL_DETECTION.
 message LabelDetectionConfig {
   // What labels should be detected with LABEL_DETECTION, in addition to
   // video-level labels or segment-level labels.
   // If unspecified, defaults to `SHOT_MODE`.
   LabelDetectionMode label_detection_mode = 1;

   // Whether the video has been shot from a stationary (i.e. non-moving) camera.
   // When set to true, might improve detection accuracy for moving objects.
   // Should be used with `SHOT_AND_FRAME_MODE` enabled.
   bool stationary_camera = 2;

   // Model to use for label detection.
   // Supported values: "builtin/stable" (the default if unset) and
   // "builtin/latest".
   string model = 3;
 }

 // Config for SHOT_CHANGE_DETECTION.
 message ShotChangeDetectionConfig {
   // Model to use for shot change detection.
   // Supported values: "builtin/stable" (the default if unset) and
   // "builtin/latest".
   string model = 1;
 }

 // Config for EXPLICIT_CONTENT_DETECTION.
 message ExplicitContentDetectionConfig {
   // Model to use for explicit content detection.
   // Supported values: "builtin/stable" (the default if unset) and
   // "builtin/latest".
   string model = 1;
 }

 // Config for FACE_DETECTION.
 message FaceDetectionConfig {
   // Model to use for face detection.
   // Supported values: "builtin/stable" (the default if unset) and
   // "builtin/latest".
   string model = 1;

   // Whether bounding boxes be included in the face annotation output.
   bool include_bounding_boxes = 2;
 }

 // Video segment.
 message VideoSegment {
   // Time-offset, relative to the beginning of the video,
   // corresponding to the start of the segment (inclusive).
   google.protobuf.Duration start_time_offset = 1;

   // Time-offset, relative to the beginning of the video,
   // corresponding to the end of the segment (inclusive).
   google.protobuf.Duration end_time_offset = 2;
 }

 // Video segment level annotation results for label detection.
 message LabelSegment {
   // Video segment where a label was detected.
   VideoSegment segment = 1;

   // Confidence that the label is accurate. Range: [0, 1].
   float confidence = 2;
 }

 // Video frame level annotation results for label detection.
 message LabelFrame {
   // Time-offset, relative to the beginning of the video, corresponding to the
   // video frame for this location.
   google.protobuf.Duration time_offset = 1;

   // Confidence that the label is accurate. Range: [0, 1].
   float confidence = 2;
 }

 // Detected entity from video analysis.
 message Entity {
   // Opaque entity ID. Some IDs may be available in
   // [Google Knowledge Graph Search
   // API](https://developers.google.com/knowledge-graph/).
   string entity_id = 1;

   // Textual description, e.g. `Fixed-gear bicycle`.
   string description = 2;

   // Language code for `description` in BCP-47 format.
   string language_code = 3;
 }

 // Label annotation.
 message LabelAnnotation {
   // Detected entity.
   Entity entity = 1;

   // Common categories for the detected entity.
   // E.g. when the label is `Terrier` the category is likely `dog`. And in some
   // cases there might be more than one categories e.g. `Terrier` could also be
   // a `pet`.
   repeated Entity category_entities = 2;

   // All video segments where a label was detected.
   repeated LabelSegment segments = 3;

   // All video frames where a label was detected.
   repeated LabelFrame frames = 4;
 }

 // Video frame level annotation results for explicit content.
 message ExplicitContentFrame {
   // Time-offset, relative to the beginning of the video, corresponding to the
   // video frame for this location.
   google.protobuf.Duration time_offset = 1;

   // Likelihood of the pornography content..
   Likelihood pornography_likelihood = 2;
 }

 // Explicit content annotation (based on per-frame visual signals only).
 // If no explicit content has been detected in a frame, no annotations are
 // present for that frame.
 message ExplicitContentAnnotation {
   // All video frames where explicit content was detected.
   repeated ExplicitContentFrame frames = 1;
 }

 // Normalized bounding box.
 // The normalized vertex coordinates are relative to the original image.
 // Range: [0, 1].
 message NormalizedBoundingBox {
   // Left X coordinate.
   float left = 1;

   // Top Y coordinate.
   float top = 2;

   // Right X coordinate.
   float right = 3;

   // Bottom Y coordinate.
   float bottom = 4;
 }

 // Video segment level annotation results for face detection.
 message FaceSegment {
   // Video segment where a face was detected.
   VideoSegment segment = 1;
 }

 // Video frame level annotation results for face detection.
 message FaceFrame {
   // Normalized Bounding boxes in a frame.
   // There can be more than one boxes if the same face is detected in multiple
   // locations within the current frame.
   repeated NormalizedBoundingBox normalized_bounding_boxes = 1;

   // Time-offset, relative to the beginning of the video,
   // corresponding to the video frame for this location.
   google.protobuf.Duration time_offset = 2;
 }

 // Face annotation.
 message FaceAnnotation {
   // Thumbnail of a representative face view (in JPEG format).
   bytes thumbnail = 1;

   // All video segments where a face was detected.
   repeated FaceSegment segments = 2;

   // All video frames where a face was detected.
   repeated FaceFrame frames = 3;
 }

 // Annotation results for a single video.
 message VideoAnnotationResults {
   // Video file location in
   // [Google Cloud Storage](https://cloud.google.com/storage/).
   string input_uri = 1;

   // Label annotations on video level or user specified segment level.
   // There is exactly one element for each unique label.
   repeated LabelAnnotation segment_label_annotations = 2;

   // Label annotations on shot level.
   // There is exactly one element for each unique label.
   repeated LabelAnnotation shot_label_annotations = 3;

   // Label annotations on frame level.
   // There is exactly one element for each unique label.
   repeated LabelAnnotation frame_label_annotations = 4;

   // Face annotations. There is exactly one element for each unique face.
   repeated FaceAnnotation face_annotations = 5;

   // Shot annotations. Each shot is represented as a video segment.
   repeated VideoSegment shot_annotations = 6;

   // Explicit content annotation.
   ExplicitContentAnnotation explicit_annotation = 7;

   // If set, indicates an error. Note that for a single `AnnotateVideoRequest`
   // some videos may succeed and some may fail.
   google.rpc.Status error = 9;
 }

 // Video annotation response. Included in the `response`
 // field of the `Operation` returned by the `GetOperation`
 // call of the `google::longrunning::Operations` service.
 message AnnotateVideoResponse {
   // Annotation results for all videos specified in `AnnotateVideoRequest`.
   repeated VideoAnnotationResults annotation_results = 1;
 }

 // Annotation progress for a single video.
 message VideoAnnotationProgress {
   // Video file location in
   // [Google Cloud Storage](https://cloud.google.com/storage/).
   string input_uri = 1;

   // Approximate percentage processed thus far.
   // Guaranteed to be 100 when fully processed.
   int32 progress_percent = 2;

   // Time when the request was received.
   google.protobuf.Timestamp start_time = 3;

   // Time of the most recent update.
   google.protobuf.Timestamp update_time = 4;
 }

 // Video annotation progress. Included in the `metadata`
 // field of the `Operation` returned by the `GetOperation`
 // call of the `google::longrunning::Operations` service.
 message AnnotateVideoProgress {
   // Progress metadata for all videos specified in `AnnotateVideoRequest`.
   repeated VideoAnnotationProgress annotation_progress = 1;
 }

 // Video annotation feature.
 enum Feature {
   // Unspecified.
   FEATURE_UNSPECIFIED = 0;

   // Label detection. Detect objects, such as dog or flower.
   LABEL_DETECTION = 1;

   // Shot change detection.
   SHOT_CHANGE_DETECTION = 2;

   // Explicit content detection.
   EXPLICIT_CONTENT_DETECTION = 3;

   // Human face detection and tracking.
   FACE_DETECTION = 4;
 }

 // Label detection mode.
 enum LabelDetectionMode {
   // Unspecified.
   LABEL_DETECTION_MODE_UNSPECIFIED = 0;

   // Detect shot-level labels.
   SHOT_MODE = 1;

   // Detect frame-level labels.
   FRAME_MODE = 2;

   // Detect both shot-level and frame-level labels.
   SHOT_AND_FRAME_MODE = 3;
 }

 // Bucketized representation of likelihood.
 enum Likelihood {
   // Unspecified likelihood.
   LIKELIHOOD_UNSPECIFIED = 0;

   // Very unlikely.
   VERY_UNLIKELY = 1;

   // Unlikely.
   UNLIKELY = 2;

   // Possible.
   POSSIBLE = 3;

   // Likely.
   LIKELY = 4;

   // Very likely.
   VERY_LIKELY = 5;
 }
	// Copyright 2017 Google Inc.
	//
	// 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.videointelligence.v1;

	import "google/api/annotations.proto";
	import "google/longrunning/operations.proto";
	import "google/protobuf/duration.proto";
	import "google/protobuf/timestamp.proto";
	import "google/rpc/status.proto";

	option csharp_namespace = "Google.Cloud.VideoIntelligence.V1";
	option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1;videointelligence";
	option java_multiple_files = true;
	option java_outer_classname = "VideoIntelligenceServiceProto";
	option java_package = "com.google.cloud.videointelligence.v1";


	// Service that implements Google Cloud Video Intelligence API.
	service VideoIntelligenceService {
	// Performs asynchronous video annotation. Progress and results can be
	// retrieved through the `google.longrunning.Operations` interface.
	// `Operation.metadata` contains `AnnotateVideoProgress` (progress).
	// `Operation.response` contains `AnnotateVideoResponse` (results).
	rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
	option (google.api.http) = { post: "/v1/videos:annotate" body: "*" };
	}
	}

	// Video annotation request.
	message AnnotateVideoRequest {
	// Input video location. Currently, only
	// [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
	// supported, which must be specified in the following format:
	// `gs://bucket-id/object-id` (other URI formats return
	// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
	// [Request URIs](/storage/docs/reference-uris).
	// A video URI may include wildcards in `object-id`, and thus identify
	// multiple videos. Supported wildcards: '*' to match 0 or more characters;
	// '?' to match 1 character. If unset, the input video should be embedded
	// in the request as `input_content`. If set, `input_content` should be unset.
	string input_uri = 1;

	// The video data bytes.
	// If unset, the input video(s) should be specified via `input_uri`.
	// If set, `input_uri` should be unset.
	bytes input_content = 6;

	// Requested video annotation features.
	repeated Feature features = 2;

	// Additional video context and/or feature-specific parameters.
	VideoContext video_context = 3;

	// Optional location where the output (in JSON format) should be stored.
	// Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
	// URIs are supported, which must be specified in the following format:
	// `gs://bucket-id/object-id` (other URI formats return
	// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
	// [Request URIs](/storage/docs/reference-uris).
	string output_uri = 4;

	// Optional cloud region where annotation should take place. Supported cloud
	// regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
	// is specified, a region will be determined based on video file location.
	string location_id = 5;
	}

	// Video context and/or feature-specific parameters.
	message VideoContext {
	// Video segments to annotate. The segments may overlap and are not required
	// to be contiguous or span the whole video. If unspecified, each video
	// is treated as a single segment.
	repeated VideoSegment segments = 1;

	// Config for LABEL_DETECTION.
	LabelDetectionConfig label_detection_config = 2;

	// Config for SHOT_CHANGE_DETECTION.
	ShotChangeDetectionConfig shot_change_detection_config = 3;

	// Config for EXPLICIT_CONTENT_DETECTION.
	ExplicitContentDetectionConfig explicit_content_detection_config = 4;

	// Config for FACE_DETECTION.
	FaceDetectionConfig face_detection_config = 5;
	}

	// Config for LABEL_DETECTION.
	message LabelDetectionConfig {
	// What labels should be detected with LABEL_DETECTION, in addition to
	// video-level labels or segment-level labels.
	// If unspecified, defaults to `SHOT_MODE`.
	LabelDetectionMode label_detection_mode = 1;

	// Whether the video has been shot from a stationary (i.e. non-moving) camera.
	// When set to true, might improve detection accuracy for moving objects.
	// Should be used with `SHOT_AND_FRAME_MODE` enabled.
	bool stationary_camera = 2;

	// Model to use for label detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	string model = 3;
	}

	// Config for SHOT_CHANGE_DETECTION.
	message ShotChangeDetectionConfig {
	// Model to use for shot change detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	string model = 1;
	}

	// Config for EXPLICIT_CONTENT_DETECTION.
	message ExplicitContentDetectionConfig {
	// Model to use for explicit content detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	string model = 1;
	}

	// Config for FACE_DETECTION.
	message FaceDetectionConfig {
	// Model to use for face detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	string model = 1;

	// Whether bounding boxes be included in the face annotation output.
	bool include_bounding_boxes = 2;
	}

	// Video segment.
	message VideoSegment {
	// Time-offset, relative to the beginning of the video,
	// corresponding to the start of the segment (inclusive).
	google.protobuf.Duration start_time_offset = 1;

	// Time-offset, relative to the beginning of the video,
	// corresponding to the end of the segment (inclusive).
	google.protobuf.Duration end_time_offset = 2;
	}

	// Video segment level annotation results for label detection.
	message LabelSegment {
	// Video segment where a label was detected.
	VideoSegment segment = 1;

	// Confidence that the label is accurate. Range: [0, 1].
	float confidence = 2;
	}

	// Video frame level annotation results for label detection.
	message LabelFrame {
	// Time-offset, relative to the beginning of the video, corresponding to the
	// video frame for this location.
	google.protobuf.Duration time_offset = 1;

	// Confidence that the label is accurate. Range: [0, 1].
	float confidence = 2;
	}

	// Detected entity from video analysis.
	message Entity {
	// Opaque entity ID. Some IDs may be available in
	// [Google Knowledge Graph Search
	// API](https://developers.google.com/knowledge-graph/).
	string entity_id = 1;

	// Textual description, e.g. `Fixed-gear bicycle`.
	string description = 2;

	// Language code for `description` in BCP-47 format.
	string language_code = 3;
	}

	// Label annotation.
	message LabelAnnotation {
	// Detected entity.
	Entity entity = 1;

	// Common categories for the detected entity.
	// E.g. when the label is `Terrier` the category is likely `dog`. And in some
	// cases there might be more than one categories e.g. `Terrier` could also be
	// a `pet`.
	repeated Entity category_entities = 2;

	// All video segments where a label was detected.
	repeated LabelSegment segments = 3;

	// All video frames where a label was detected.
	repeated LabelFrame frames = 4;
	}

	// Video frame level annotation results for explicit content.
	message ExplicitContentFrame {
	// Time-offset, relative to the beginning of the video, corresponding to the
	// video frame for this location.
	google.protobuf.Duration time_offset = 1;

	// Likelihood of the pornography content..
	Likelihood pornography_likelihood = 2;
	}

	// Explicit content annotation (based on per-frame visual signals only).
	// If no explicit content has been detected in a frame, no annotations are
	// present for that frame.
	message ExplicitContentAnnotation {
	// All video frames where explicit content was detected.
	repeated ExplicitContentFrame frames = 1;
	}

	// Normalized bounding box.
	// The normalized vertex coordinates are relative to the original image.
	// Range: [0, 1].
	message NormalizedBoundingBox {
	// Left X coordinate.
	float left = 1;

	// Top Y coordinate.
	float top = 2;

	// Right X coordinate.
	float right = 3;

	// Bottom Y coordinate.
	float bottom = 4;
	}

	// Video segment level annotation results for face detection.
	message FaceSegment {
	// Video segment where a face was detected.
	VideoSegment segment = 1;
	}

	// Video frame level annotation results for face detection.
	message FaceFrame {
	// Normalized Bounding boxes in a frame.
	// There can be more than one boxes if the same face is detected in multiple
	// locations within the current frame.
	repeated NormalizedBoundingBox normalized_bounding_boxes = 1;

	// Time-offset, relative to the beginning of the video,
	// corresponding to the video frame for this location.
	google.protobuf.Duration time_offset = 2;
	}

	// Face annotation.
	message FaceAnnotation {
	// Thumbnail of a representative face view (in JPEG format).
	bytes thumbnail = 1;

	// All video segments where a face was detected.
	repeated FaceSegment segments = 2;

	// All video frames where a face was detected.
	repeated FaceFrame frames = 3;
	}

	// Annotation results for a single video.
	message VideoAnnotationResults {
	// Video file location in
	// [Google Cloud Storage](https://cloud.google.com/storage/).
	string input_uri = 1;

	// Label annotations on video level or user specified segment level.
	// There is exactly one element for each unique label.
	repeated LabelAnnotation segment_label_annotations = 2;

	// Label annotations on shot level.
	// There is exactly one element for each unique label.
	repeated LabelAnnotation shot_label_annotations = 3;

	// Label annotations on frame level.
	// There is exactly one element for each unique label.
	repeated LabelAnnotation frame_label_annotations = 4;

	// Face annotations. There is exactly one element for each unique face.
	repeated FaceAnnotation face_annotations = 5;

	// Shot annotations. Each shot is represented as a video segment.
	repeated VideoSegment shot_annotations = 6;

	// Explicit content annotation.
	ExplicitContentAnnotation explicit_annotation = 7;

	// If set, indicates an error. Note that for a single `AnnotateVideoRequest`
	// some videos may succeed and some may fail.
	google.rpc.Status error = 9;
	}

	// Video annotation response. Included in the `response`
	// field of the `Operation` returned by the `GetOperation`
	// call of the `google::longrunning::Operations` service.
	message AnnotateVideoResponse {
	// Annotation results for all videos specified in `AnnotateVideoRequest`.
	repeated VideoAnnotationResults annotation_results = 1;
	}

	// Annotation progress for a single video.
	message VideoAnnotationProgress {
	// Video file location in
	// [Google Cloud Storage](https://cloud.google.com/storage/).
	string input_uri = 1;

	// Approximate percentage processed thus far.
	// Guaranteed to be 100 when fully processed.
	int32 progress_percent = 2;

	// Time when the request was received.
	google.protobuf.Timestamp start_time = 3;

	// Time of the most recent update.
	google.protobuf.Timestamp update_time = 4;
	}

	// Video annotation progress. Included in the `metadata`
	// field of the `Operation` returned by the `GetOperation`
	// call of the `google::longrunning::Operations` service.
	message AnnotateVideoProgress {
	// Progress metadata for all videos specified in `AnnotateVideoRequest`.
	repeated VideoAnnotationProgress annotation_progress = 1;
	}

	// Video annotation feature.
	enum Feature {
	// Unspecified.
	FEATURE_UNSPECIFIED = 0;

	// Label detection. Detect objects, such as dog or flower.
	LABEL_DETECTION = 1;

	// Shot change detection.
	SHOT_CHANGE_DETECTION = 2;

	// Explicit content detection.
	EXPLICIT_CONTENT_DETECTION = 3;

	// Human face detection and tracking.
	FACE_DETECTION = 4;
	}

	// Label detection mode.
	enum LabelDetectionMode {
	// Unspecified.
	LABEL_DETECTION_MODE_UNSPECIFIED = 0;

	// Detect shot-level labels.
	SHOT_MODE = 1;

	// Detect frame-level labels.
	FRAME_MODE = 2;

	// Detect both shot-level and frame-level labels.
	SHOT_AND_FRAME_MODE = 3;
	}

	// Bucketized representation of likelihood.
	enum Likelihood {
	// Unspecified likelihood.
	LIKELIHOOD_UNSPECIFIED = 0;

	// Very unlikely.
	VERY_UNLIKELY = 1;

	// Unlikely.
	UNLIKELY = 2;

	// Possible.
	POSSIBLE = 3;

	// Likely.
	LIKELY = 4;

	// Very likely.
	VERY_LIKELY = 5;
	}