videointelligence

type AnnotateVideoProgress struct {
	// Progress metadata for all videos specified in `AnnotateVideoRequest`.
	AnnotationProgress   []*VideoAnnotationProgress `protobuf:"bytes,1,rep,name=annotation_progress,json=annotationProgress,proto3" json:"annotation_progress,omitempty"`
	XXX_NoUnkeyedLiteral struct{}                   `json:"-"`
	XXX_unrecognized     []byte                     `json:"-"`
	XXX_sizecache        int32                      `json:"-"`
}

type AnnotateVideoRequest struct {
	// 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](https://cloud.google.com/storage/docs/request-endpoints). 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.
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri,proto3" json:"input_uri,omitempty"`
	// The video data bytes.
	// If unset, the input video(s) should be specified via `input_uri`.
	// If set, `input_uri` should be unset.
	InputContent []byte `protobuf:"bytes,6,opt,name=input_content,json=inputContent,proto3" json:"input_content,omitempty"`
	// Required. Requested video annotation features.
	Features []Feature `` /* 131-byte string literal not displayed */
	// Additional video context and/or feature-specific parameters.
	VideoContext *VideoContext `protobuf:"bytes,3,opt,name=video_context,json=videoContext,proto3" json:"video_context,omitempty"`
	// 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](https://cloud.google.com/storage/docs/request-endpoints).
	OutputUri string `protobuf:"bytes,4,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// 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.
	LocationId           string   `protobuf:"bytes,5,opt,name=location_id,json=locationId,proto3" json:"location_id,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type AnnotateVideoResponse struct {
	// Annotation results for all videos specified in `AnnotateVideoRequest`.
	AnnotationResults    []*VideoAnnotationResults `protobuf:"bytes,1,rep,name=annotation_results,json=annotationResults,proto3" json:"annotation_results,omitempty"`
	XXX_NoUnkeyedLiteral struct{}                  `json:"-"`
	XXX_unrecognized     []byte                    `json:"-"`
	XXX_sizecache        int32                     `json:"-"`
}

type Celebrity struct {
	// The resource name of the celebrity. Have the format
	// `video-intelligence/kg-mid` indicates a celebrity from preloaded gallery.
	// kg-mid is the id in Google knowledge graph, which is unique for the
	// celebrity.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The celebrity name.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Textual description of additional information about the celebrity, if
	// applicable.
	Description          string   `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type CelebrityRecognitionAnnotation struct {
	// The tracks detected from the input video, including recognized celebrities
	// and other detected faces in the video.
	CelebrityTracks      []*CelebrityTrack `protobuf:"bytes,1,rep,name=celebrity_tracks,json=celebrityTracks,proto3" json:"celebrity_tracks,omitempty"`
	XXX_NoUnkeyedLiteral struct{}          `json:"-"`
	XXX_unrecognized     []byte            `json:"-"`
	XXX_sizecache        int32             `json:"-"`
}

type CelebrityTrack struct {
	// Top N match of the celebrities for the face in this track.
	Celebrities []*CelebrityTrack_RecognizedCelebrity `protobuf:"bytes,1,rep,name=celebrities,proto3" json:"celebrities,omitempty"`
	// A track of a person's face.
	FaceTrack            *Track   `protobuf:"bytes,3,opt,name=face_track,json=faceTrack,proto3" json:"face_track,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type CelebrityTrack_RecognizedCelebrity struct {
	// The recognized celebrity.
	Celebrity *Celebrity `protobuf:"bytes,1,opt,name=celebrity,proto3" json:"celebrity,omitempty"`
	// Recognition confidence. Range [0, 1].
	Confidence           float32  `protobuf:"fixed32,2,opt,name=confidence,proto3" json:"confidence,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type DetectedAttribute struct {
	// The name of the attribute, i.e. glasses, dark_glasses, mouth_open etc.
	// A full list of supported type names will be provided in the document.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Detected attribute confidence. Range [0, 1].
	Confidence float32 `protobuf:"fixed32,2,opt,name=confidence,proto3" json:"confidence,omitempty"`
	// Text value of the detection result. For example, the value for "HairColor"
	// can be "black", "blonde", etc.
	Value                string   `protobuf:"bytes,3,opt,name=value,proto3" json:"value,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type DetectedLandmark struct {
	// The name of this landmark, i.e. left_hand, right_shoulder.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The 2D point of the detected landmark using the normalized image
	// coordindate system. The normalized coordinates have the range from 0 to 1.
	Point *NormalizedVertex `protobuf:"bytes,2,opt,name=point,proto3" json:"point,omitempty"`
	// The confidence score of the detected landmark. Range [0, 1].
	Confidence           float32  `protobuf:"fixed32,3,opt,name=confidence,proto3" json:"confidence,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type Entity struct {
	// Opaque entity ID. Some IDs may be available in
	// [Google Knowledge Graph Search
	// API](https://developers.google.com/knowledge-graph/).
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Textual description, e.g. `Fixed-gear bicycle`.
	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
	// Language code for `description` in BCP-47 format.
	LanguageCode         string   `protobuf:"bytes,3,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type ExplicitContentAnnotation struct {
	// All video frames where explicit content was detected.
	Frames               []*ExplicitContentFrame `protobuf:"bytes,1,rep,name=frames,proto3" json:"frames,omitempty"`
	XXX_NoUnkeyedLiteral struct{}                `json:"-"`
	XXX_unrecognized     []byte                  `json:"-"`
	XXX_sizecache        int32                   `json:"-"`
}

type ExplicitContentDetectionConfig struct {
	// Model to use for explicit content detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	Model                string   `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type ExplicitContentFrame struct {
	// Time-offset, relative to the beginning of the video, corresponding to the
	// video frame for this location.
	TimeOffset *duration.Duration `protobuf:"bytes,1,opt,name=time_offset,json=timeOffset,proto3" json:"time_offset,omitempty"`
	// Likelihood of the pornography content..
	PornographyLikelihood Likelihood `` /* 182-byte string literal not displayed */
	XXX_NoUnkeyedLiteral  struct{}   `json:"-"`
	XXX_unrecognized      []byte     `json:"-"`
	XXX_sizecache         int32      `json:"-"`
}

type FaceDetectionAnnotation struct {
	// The face tracks with attributes.
	Tracks []*Track `protobuf:"bytes,3,rep,name=tracks,proto3" json:"tracks,omitempty"`
	// The thumbnail of a person's face.
	Thumbnail            []byte   `protobuf:"bytes,4,opt,name=thumbnail,proto3" json:"thumbnail,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type FaceDetectionConfig struct {
	// Model to use for face detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Whether bounding boxes be included in the face annotation output.
	IncludeBoundingBoxes bool `protobuf:"varint,2,opt,name=include_bounding_boxes,json=includeBoundingBoxes,proto3" json:"include_bounding_boxes,omitempty"`
	// Whether to enable face attributes detection, such as glasses, dark_glasses,
	// mouth_open etc. Ignored if 'include_bounding_boxes' is false.
	IncludeAttributes    bool     `protobuf:"varint,5,opt,name=include_attributes,json=includeAttributes,proto3" json:"include_attributes,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type Feature int32

type LabelAnnotation struct {
	// Detected entity.
	Entity *Entity `protobuf:"bytes,1,opt,name=entity,proto3" json:"entity,omitempty"`
	// 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`.
	CategoryEntities []*Entity `protobuf:"bytes,2,rep,name=category_entities,json=categoryEntities,proto3" json:"category_entities,omitempty"`
	// All video segments where a label was detected.
	Segments []*LabelSegment `protobuf:"bytes,3,rep,name=segments,proto3" json:"segments,omitempty"`
	// All video frames where a label was detected.
	Frames               []*LabelFrame `protobuf:"bytes,4,rep,name=frames,proto3" json:"frames,omitempty"`
	XXX_NoUnkeyedLiteral struct{}      `json:"-"`
	XXX_unrecognized     []byte        `json:"-"`
	XXX_sizecache        int32         `json:"-"`
}

type LabelDetectionConfig struct {
	// 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 LabelDetectionMode `` /* 183-byte string literal not displayed */
	// 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.
	StationaryCamera bool `protobuf:"varint,2,opt,name=stationary_camera,json=stationaryCamera,proto3" json:"stationary_camera,omitempty"`
	// Model to use for label detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// The confidence threshold we perform filtering on the labels from
	// frame-level detection. If not set, it is set to 0.4 by default. The valid
	// range for this threshold is [0.1, 0.9]. Any value set outside of this
	// range will be clipped.
	// Note: for best results please follow the default threshold. We will update
	// the default threshold everytime when we release a new model.
	FrameConfidenceThreshold float32 `` /* 137-byte string literal not displayed */
	// The confidence threshold we perform filtering on the labels from
	// video-level and shot-level detections. If not set, it is set to 0.3 by
	// default. The valid range for this threshold is [0.1, 0.9]. Any value set
	// outside of this range will be clipped.
	// Note: for best results please follow the default threshold. We will update
	// the default threshold everytime when we release a new model.
	VideoConfidenceThreshold float32  `` /* 137-byte string literal not displayed */
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	XXX_unrecognized         []byte   `json:"-"`
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}

type LabelDetectionMode int32

type LabelFrame struct {
	// Time-offset, relative to the beginning of the video, corresponding to the
	// video frame for this location.
	TimeOffset *duration.Duration `protobuf:"bytes,1,opt,name=time_offset,json=timeOffset,proto3" json:"time_offset,omitempty"`
	// Confidence that the label is accurate. Range: [0, 1].
	Confidence           float32  `protobuf:"fixed32,2,opt,name=confidence,proto3" json:"confidence,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type LabelSegment struct {
	// Video segment where a label was detected.
	Segment *VideoSegment `protobuf:"bytes,1,opt,name=segment,proto3" json:"segment,omitempty"`
	// Confidence that the label is accurate. Range: [0, 1].
	Confidence           float32  `protobuf:"fixed32,2,opt,name=confidence,proto3" json:"confidence,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type Likelihood int32

type LogoRecognitionAnnotation struct {
	// Entity category information to specify the logo class that all the logo
	// tracks within this LogoRecognitionAnnotation are recognized as.
	Entity *Entity `protobuf:"bytes,1,opt,name=entity,proto3" json:"entity,omitempty"`
	// All logo tracks where the recognized logo appears. Each track corresponds
	// to one logo instance appearing in consecutive frames.
	Tracks []*Track `protobuf:"bytes,2,rep,name=tracks,proto3" json:"tracks,omitempty"`
	// All video segments where the recognized logo appears. There might be
	// multiple instances of the same logo class appearing in one VideoSegment.
	Segments             []*VideoSegment `protobuf:"bytes,3,rep,name=segments,proto3" json:"segments,omitempty"`
	XXX_NoUnkeyedLiteral struct{}        `json:"-"`
	XXX_unrecognized     []byte          `json:"-"`
	XXX_sizecache        int32           `json:"-"`
}

type NormalizedBoundingBox struct {
	// Left X coordinate.
	Left float32 `protobuf:"fixed32,1,opt,name=left,proto3" json:"left,omitempty"`
	// Top Y coordinate.
	Top float32 `protobuf:"fixed32,2,opt,name=top,proto3" json:"top,omitempty"`
	// Right X coordinate.
	Right float32 `protobuf:"fixed32,3,opt,name=right,proto3" json:"right,omitempty"`
	// Bottom Y coordinate.
	Bottom               float32  `protobuf:"fixed32,4,opt,name=bottom,proto3" json:"bottom,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type NormalizedBoundingPoly struct {
	// Normalized vertices of the bounding polygon.
	Vertices             []*NormalizedVertex `protobuf:"bytes,1,rep,name=vertices,proto3" json:"vertices,omitempty"`
	XXX_NoUnkeyedLiteral struct{}            `json:"-"`
	XXX_unrecognized     []byte              `json:"-"`
	XXX_sizecache        int32               `json:"-"`
}

type NormalizedVertex struct {
	// X coordinate.
	X float32 `protobuf:"fixed32,1,opt,name=x,proto3" json:"x,omitempty"`
	// Y coordinate.
	Y                    float32  `protobuf:"fixed32,2,opt,name=y,proto3" json:"y,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type ObjectTrackingAnnotation struct {
	// Entity to specify the object category that this track is labeled as.
	Entity *Entity `protobuf:"bytes,1,opt,name=entity,proto3" json:"entity,omitempty"`
	// Object category's labeling confidence of this track.
	Confidence float32 `protobuf:"fixed32,4,opt,name=confidence,proto3" json:"confidence,omitempty"`
	// Information corresponding to all frames where this object track appears.
	// Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame
	// messages in frames.
	// Streaming mode: it can only be one ObjectTrackingFrame message in frames.
	Frames []*ObjectTrackingFrame `protobuf:"bytes,2,rep,name=frames,proto3" json:"frames,omitempty"`
	// Different representation of tracking info in non-streaming batch
	// and streaming modes.
	//
	// Types that are valid to be assigned to TrackInfo:
	//	*ObjectTrackingAnnotation_Segment
	//	*ObjectTrackingAnnotation_TrackId
	TrackInfo            isObjectTrackingAnnotation_TrackInfo `protobuf_oneof:"track_info"`
	XXX_NoUnkeyedLiteral struct{}                             `json:"-"`
	XXX_unrecognized     []byte                               `json:"-"`
	XXX_sizecache        int32                                `json:"-"`
}

type ObjectTrackingAnnotation_Segment struct {
	Segment *VideoSegment `protobuf:"bytes,3,opt,name=segment,proto3,oneof"`
}

type ObjectTrackingAnnotation_TrackId struct {
	TrackId int64 `protobuf:"varint,5,opt,name=track_id,json=trackId,proto3,oneof"`
}

type ObjectTrackingConfig struct {
	// Model to use for object tracking.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	Model                string   `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type ObjectTrackingFrame struct {
	// The normalized bounding box location of this object track for the frame.
	NormalizedBoundingBox *NormalizedBoundingBox `` /* 126-byte string literal not displayed */
	// The timestamp of the frame in microseconds.
	TimeOffset           *duration.Duration `protobuf:"bytes,2,opt,name=time_offset,json=timeOffset,proto3" json:"time_offset,omitempty"`
	XXX_NoUnkeyedLiteral struct{}           `json:"-"`
	XXX_unrecognized     []byte             `json:"-"`
	XXX_sizecache        int32              `json:"-"`
}

type PersonDetectionAnnotation struct {
	// The trackes that a person is detected.
	Tracks               []*Track `protobuf:"bytes,1,rep,name=tracks,proto3" json:"tracks,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type PersonDetectionConfig struct {
	// Whether bounding boxes be included in the person detection annotation
	// output.
	IncludeBoundingBoxes bool `protobuf:"varint,1,opt,name=include_bounding_boxes,json=includeBoundingBoxes,proto3" json:"include_bounding_boxes,omitempty"`
	// Whether to enable pose landmarks detection. Ignored if
	// 'include_bounding_boxes' is false.
	IncludePoseLandmarks bool `protobuf:"varint,2,opt,name=include_pose_landmarks,json=includePoseLandmarks,proto3" json:"include_pose_landmarks,omitempty"`
	// Whether to enable person attributes detection, such as cloth color (black,
	// blue, etc), type (coat, dress, etc), pattern (plain, floral, etc), hair
	// color (black, blonde, etc), hair length (long, short, bald), etc.
	// Ignored if 'include_bounding_boxes' is false.
	IncludeAttributes    bool     `protobuf:"varint,3,opt,name=include_attributes,json=includeAttributes,proto3" json:"include_attributes,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type ShotChangeDetectionConfig struct {
	// Model to use for shot change detection.
	// Supported values: "builtin/stable" (the default if unset) and
	// "builtin/latest".
	Model                string   `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type SpeechContext struct {
	// Optional. A list of strings containing words and phrases "hints" so that
	// the speech recognition is more likely to recognize them. This can be used
	// to improve the accuracy for specific words and phrases, for example, if
	// specific commands are typically spoken by the user. This can also be used
	// to add additional words to the vocabulary of the recognizer. See
	// [usage limits](https://cloud.google.com/speech/limits#content).
	Phrases              []string `protobuf:"bytes,1,rep,name=phrases,proto3" json:"phrases,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type SpeechRecognitionAlternative struct {
	// Transcript text representing the words that the user spoke.
	Transcript string `protobuf:"bytes,1,opt,name=transcript,proto3" json:"transcript,omitempty"`
	// Output only. The confidence estimate between 0.0 and 1.0. A higher number
	// indicates an estimated greater likelihood that the recognized words are
	// correct. This field is set only for the top alternative.
	// This field is not guaranteed to be accurate and users should not rely on it
	// to be always provided.
	// The default of 0.0 is a sentinel value indicating `confidence` was not set.
	Confidence float32 `protobuf:"fixed32,2,opt,name=confidence,proto3" json:"confidence,omitempty"`
	// Output only. A list of word-specific information for each recognized word.
	// Note: When `enable_speaker_diarization` is true, you will see all the words
	// from the beginning of the audio.
	Words                []*WordInfo `protobuf:"bytes,3,rep,name=words,proto3" json:"words,omitempty"`
	XXX_NoUnkeyedLiteral struct{}    `json:"-"`
	XXX_unrecognized     []byte      `json:"-"`
	XXX_sizecache        int32       `json:"-"`
}

type SpeechTranscription struct {
	// May contain one or more recognition hypotheses (up to the maximum specified
	// in `max_alternatives`).  These alternatives are ordered in terms of
	// accuracy, with the top (first) alternative being the most probable, as
	// ranked by the recognizer.
	Alternatives []*SpeechRecognitionAlternative `protobuf:"bytes,1,rep,name=alternatives,proto3" json:"alternatives,omitempty"`
	// Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
	// language tag of the language in this result. This language code was
	// detected to have the most likelihood of being spoken in the audio.
	LanguageCode         string   `protobuf:"bytes,2,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type SpeechTranscriptionConfig struct {
	// Required. *Required* The language of the supplied audio as a
	// [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
	// Example: "en-US".
	// See [Language Support](https://cloud.google.com/speech/docs/languages)
	// for a list of the currently supported language codes.
	LanguageCode string `protobuf:"bytes,1,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"`
	// Optional. Maximum number of recognition hypotheses to be returned.
	// Specifically, the maximum number of `SpeechRecognitionAlternative` messages
	// within each `SpeechTranscription`. The server may return fewer than
	// `max_alternatives`. Valid values are `0`-`30`. A value of `0` or `1` will
	// return a maximum of one. If omitted, will return a maximum of one.
	MaxAlternatives int32 `protobuf:"varint,2,opt,name=max_alternatives,json=maxAlternatives,proto3" json:"max_alternatives,omitempty"`
	// Optional. If set to `true`, the server will attempt to filter out
	// profanities, replacing all but the initial character in each filtered word
	// with asterisks, e.g. "f***". If set to `false` or omitted, profanities
	// won't be filtered out.
	FilterProfanity bool `protobuf:"varint,3,opt,name=filter_profanity,json=filterProfanity,proto3" json:"filter_profanity,omitempty"`
	// Optional. A means to provide context to assist the speech recognition.
	SpeechContexts []*SpeechContext `protobuf:"bytes,4,rep,name=speech_contexts,json=speechContexts,proto3" json:"speech_contexts,omitempty"`
	// Optional. If 'true', adds punctuation to recognition result hypotheses.
	// This feature is only available in select languages. Setting this for
	// requests in other languages has no effect at all. The default 'false' value
	// does not add punctuation to result hypotheses. NOTE: "This is currently
	// offered as an experimental service, complimentary to all users. In the
	// future this may be exclusively available as a premium feature."
	EnableAutomaticPunctuation bool `` /* 142-byte string literal not displayed */
	// Optional. For file formats, such as MXF or MKV, supporting multiple audio
	// tracks, specify up to two tracks. Default: track 0.
	AudioTracks []int32 `protobuf:"varint,6,rep,packed,name=audio_tracks,json=audioTracks,proto3" json:"audio_tracks,omitempty"`
	// Optional. If 'true', enables speaker detection for each recognized word in
	// the top alternative of the recognition result using a speaker_tag provided
	// in the WordInfo.
	// Note: When this is true, we send all the words from the beginning of the
	// audio for the top alternative in every consecutive responses.
	// This is done in order to improve our speaker tags as our models learn to
	// identify the speakers in the conversation over time.
	EnableSpeakerDiarization bool `` /* 136-byte string literal not displayed */
	// Optional. If set, specifies the estimated number of speakers in the
	// conversation. If not set, defaults to '2'. Ignored unless
	// enable_speaker_diarization is set to true.
	DiarizationSpeakerCount int32 `` /* 133-byte string literal not displayed */
	// Optional. If `true`, the top result includes a list of words and the
	// confidence for those words. If `false`, no word-level confidence
	// information is returned. The default is `false`.
	EnableWordConfidence bool     `protobuf:"varint,9,opt,name=enable_word_confidence,json=enableWordConfidence,proto3" json:"enable_word_confidence,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingAnnotateVideoRequest struct {
	// *Required* The streaming request, which is either a streaming config or
	// video content.
	//
	// Types that are valid to be assigned to StreamingRequest:
	//	*StreamingAnnotateVideoRequest_VideoConfig
	//	*StreamingAnnotateVideoRequest_InputContent
	StreamingRequest     isStreamingAnnotateVideoRequest_StreamingRequest `protobuf_oneof:"streaming_request"`
	XXX_NoUnkeyedLiteral struct{}                                         `json:"-"`
	XXX_unrecognized     []byte                                           `json:"-"`
	XXX_sizecache        int32                                            `json:"-"`
}

type StreamingAnnotateVideoRequest_InputContent struct {
	InputContent []byte `protobuf:"bytes,2,opt,name=input_content,json=inputContent,proto3,oneof"`
}

type StreamingAnnotateVideoRequest_VideoConfig struct {
	VideoConfig *StreamingVideoConfig `protobuf:"bytes,1,opt,name=video_config,json=videoConfig,proto3,oneof"`
}

type StreamingAnnotateVideoResponse struct {
	// If set, returns a [google.rpc.Status][google.rpc.Status] message that
	// specifies the error for the operation.
	Error *status.Status `protobuf:"bytes,1,opt,name=error,proto3" json:"error,omitempty"`
	// Streaming annotation results.
	AnnotationResults *StreamingVideoAnnotationResults `protobuf:"bytes,2,opt,name=annotation_results,json=annotationResults,proto3" json:"annotation_results,omitempty"`
	// GCS URI that stores annotation results of one streaming session.
	// It is a directory that can hold multiple files in JSON format.
	// Example uri format:
	// gs://bucket_id/object_id/cloud_project_name-session_id
	AnnotationResultsUri string   `protobuf:"bytes,3,opt,name=annotation_results_uri,json=annotationResultsUri,proto3" json:"annotation_results_uri,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingAutomlClassificationConfig struct {
	// Resource name of AutoML model.
	// Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
	ModelName            string   `protobuf:"bytes,1,opt,name=model_name,json=modelName,proto3" json:"model_name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingAutomlObjectTrackingConfig struct {
	// Resource name of AutoML model.
	// Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
	ModelName            string   `protobuf:"bytes,1,opt,name=model_name,json=modelName,proto3" json:"model_name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingExplicitContentDetectionConfig struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingFeature int32

type StreamingLabelDetectionConfig struct {
	// Whether the video has been captured from a stationary (i.e. non-moving)
	// camera. When set to true, might improve detection accuracy for moving
	// objects. Default: false.
	StationaryCamera     bool     `protobuf:"varint,1,opt,name=stationary_camera,json=stationaryCamera,proto3" json:"stationary_camera,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingObjectTrackingConfig struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingShotChangeDetectionConfig struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

type StreamingStorageConfig struct {
	// Enable streaming storage. Default: false.
	EnableStorageAnnotationResult bool `` /* 153-byte string literal not displayed */
	// GCS URI to store all annotation results for one client. Client should
	// specify this field as the top-level storage directory. Annotation results
	// of different sessions will be put into different sub-directories denoted
	// by project_name and session_id. All sub-directories will be auto generated
	// by program and will be made accessible to client in response proto.
	// URIs must be specified in the following format: `gs://bucket-id/object-id`
	// `bucket-id` should be a valid GCS bucket created by client and bucket
	// permission shall also be configured properly. `object-id` can be arbitrary
	// string that make sense to client. Other URI formats will return error and
	// cause GCS write failure.
	AnnotationResultStorageDirectory string   `` /* 161-byte string literal not displayed */
	XXX_NoUnkeyedLiteral             struct{} `json:"-"`
	XXX_unrecognized                 []byte   `json:"-"`
	XXX_sizecache                    int32    `json:"-"`
}

type StreamingVideoAnnotationResults struct {
	// Shot annotation results. Each shot is represented as a video segment.
	ShotAnnotations []*VideoSegment `protobuf:"bytes,1,rep,name=shot_annotations,json=shotAnnotations,proto3" json:"shot_annotations,omitempty"`
	// Label annotation results.
	LabelAnnotations []*LabelAnnotation `protobuf:"bytes,2,rep,name=label_annotations,json=labelAnnotations,proto3" json:"label_annotations,omitempty"`
	// Explicit content annotation results.
	ExplicitAnnotation *ExplicitContentAnnotation `protobuf:"bytes,3,opt,name=explicit_annotation,json=explicitAnnotation,proto3" json:"explicit_annotation,omitempty"`
	// Object tracking results.
	ObjectAnnotations    []*ObjectTrackingAnnotation `protobuf:"bytes,4,rep,name=object_annotations,json=objectAnnotations,proto3" json:"object_annotations,omitempty"`
	XXX_NoUnkeyedLiteral struct{}                    `json:"-"`
	XXX_unrecognized     []byte                      `json:"-"`
	XXX_sizecache        int32                       `json:"-"`
}