// Code generated by protoc-gen-go. DO NOT EDIT.
// source: google/cloud/videointelligence/v1beta2/video_intelligence.proto

/*
Package videointelligence is a generated protocol buffer package.

It is generated from these files:
	google/cloud/videointelligence/v1beta2/video_intelligence.proto

It has these top-level messages:
	AnnotateVideoRequest
	VideoContext
	LabelDetectionConfig
	ShotChangeDetectionConfig
	ExplicitContentDetectionConfig
	FaceDetectionConfig
	VideoSegment
	LabelSegment
	LabelFrame
	Entity
	LabelAnnotation
	ExplicitContentFrame
	ExplicitContentAnnotation
	NormalizedBoundingBox
	FaceSegment
	FaceFrame
	FaceAnnotation
	VideoAnnotationResults
	AnnotateVideoResponse
	VideoAnnotationProgress
	AnnotateVideoProgress
*/
package videointelligence

import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import _ "google.golang.org/genproto/googleapis/api/annotations"
import google_longrunning "google.golang.org/genproto/googleapis/longrunning"
import google_protobuf3 "github.com/golang/protobuf/ptypes/duration"
import google_protobuf4 "github.com/golang/protobuf/ptypes/timestamp"
import google_rpc "google.golang.org/genproto/googleapis/rpc/status"

import (
	context "golang.org/x/net/context"
	grpc "google.golang.org/grpc"
)

// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf

// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package

// Video annotation feature.
type Feature int32

const (
	// Unspecified.
	Feature_FEATURE_UNSPECIFIED Feature = 0
	// Label detection. Detect objects, such as dog or flower.
	Feature_LABEL_DETECTION Feature = 1
	// Shot change detection.
	Feature_SHOT_CHANGE_DETECTION Feature = 2
	// Explicit content detection.
	Feature_EXPLICIT_CONTENT_DETECTION Feature = 3
	// Human face detection and tracking.
	Feature_FACE_DETECTION Feature = 4
)

var Feature_name = map[int32]string{
	0: "FEATURE_UNSPECIFIED",
	1: "LABEL_DETECTION",
	2: "SHOT_CHANGE_DETECTION",
	3: "EXPLICIT_CONTENT_DETECTION",
	4: "FACE_DETECTION",
}
var Feature_value = map[string]int32{
	"FEATURE_UNSPECIFIED":        0,
	"LABEL_DETECTION":            1,
	"SHOT_CHANGE_DETECTION":      2,
	"EXPLICIT_CONTENT_DETECTION": 3,
	"FACE_DETECTION":             4,
}

func (x Feature) String() string {
	return proto.EnumName(Feature_name, int32(x))
}
func (Feature) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }

// Label detection mode.
type LabelDetectionMode int32

const (
	// Unspecified.
	LabelDetectionMode_LABEL_DETECTION_MODE_UNSPECIFIED LabelDetectionMode = 0
	// Detect shot-level labels.
	LabelDetectionMode_SHOT_MODE LabelDetectionMode = 1
	// Detect frame-level labels.
	LabelDetectionMode_FRAME_MODE LabelDetectionMode = 2
	// Detect both shot-level and frame-level labels.
	LabelDetectionMode_SHOT_AND_FRAME_MODE LabelDetectionMode = 3
)

var LabelDetectionMode_name = map[int32]string{
	0: "LABEL_DETECTION_MODE_UNSPECIFIED",
	1: "SHOT_MODE",
	2: "FRAME_MODE",
	3: "SHOT_AND_FRAME_MODE",
}
var LabelDetectionMode_value = map[string]int32{
	"LABEL_DETECTION_MODE_UNSPECIFIED": 0,
	"SHOT_MODE":                        1,
	"FRAME_MODE":                       2,
	"SHOT_AND_FRAME_MODE":              3,
}

func (x LabelDetectionMode) String() string {
	return proto.EnumName(LabelDetectionMode_name, int32(x))
}
func (LabelDetectionMode) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{1} }

// Bucketized representation of likelihood.
type Likelihood int32

const (
	// Unspecified likelihood.
	Likelihood_LIKELIHOOD_UNSPECIFIED Likelihood = 0
	// Very unlikely.
	Likelihood_VERY_UNLIKELY Likelihood = 1
	// Unlikely.
	Likelihood_UNLIKELY Likelihood = 2
	// Possible.
	Likelihood_POSSIBLE Likelihood = 3
	// Likely.
	Likelihood_LIKELY Likelihood = 4
	// Very likely.
	Likelihood_VERY_LIKELY Likelihood = 5
)

var Likelihood_name = map[int32]string{
	0: "LIKELIHOOD_UNSPECIFIED",
	1: "VERY_UNLIKELY",
	2: "UNLIKELY",
	3: "POSSIBLE",
	4: "LIKELY",
	5: "VERY_LIKELY",
}
var Likelihood_value = map[string]int32{
	"LIKELIHOOD_UNSPECIFIED": 0,
	"VERY_UNLIKELY":          1,
	"UNLIKELY":               2,
	"POSSIBLE":               3,
	"LIKELY":                 4,
	"VERY_LIKELY":            5,
}

func (x Likelihood) String() string {
	return proto.EnumName(Likelihood_name, int32(x))
}
func (Likelihood) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{2} }

// Video annotation request.
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](/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.
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri" json:"input_uri,omitempty"`
	// The video data bytes. Encoding: base64. 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"`
	// Requested video annotation features.
	Features []Feature `protobuf:"varint,2,rep,packed,name=features,enum=google.cloud.videointelligence.v1beta2.Feature" json:"features,omitempty"`
	// Additional video context and/or feature-specific parameters.
	VideoContext *VideoContext `protobuf:"bytes,3,opt,name=video_context,json=videoContext" 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](/storage/docs/reference-uris).
	OutputUri string `protobuf:"bytes,4,opt,name=output_uri,json=outputUri" 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" json:"location_id,omitempty"`
}

func (m *AnnotateVideoRequest) Reset()                    { *m = AnnotateVideoRequest{} }
func (m *AnnotateVideoRequest) String() string            { return proto.CompactTextString(m) }
func (*AnnotateVideoRequest) ProtoMessage()               {}
func (*AnnotateVideoRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }

func (m *AnnotateVideoRequest) GetInputUri() string {
	if m != nil {
		return m.InputUri
	}
	return ""
}

func (m *AnnotateVideoRequest) GetInputContent() []byte {
	if m != nil {
		return m.InputContent
	}
	return nil
}

func (m *AnnotateVideoRequest) GetFeatures() []Feature {
	if m != nil {
		return m.Features
	}
	return nil
}

func (m *AnnotateVideoRequest) GetVideoContext() *VideoContext {
	if m != nil {
		return m.VideoContext
	}
	return nil
}

func (m *AnnotateVideoRequest) GetOutputUri() string {
	if m != nil {
		return m.OutputUri
	}
	return ""
}

func (m *AnnotateVideoRequest) GetLocationId() string {
	if m != nil {
		return m.LocationId
	}
	return ""
}

// Video context and/or feature-specific parameters.
type VideoContext struct {
	// 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.
	Segments []*VideoSegment `protobuf:"bytes,1,rep,name=segments" json:"segments,omitempty"`
	// Config for LABEL_DETECTION.
	LabelDetectionConfig *LabelDetectionConfig `protobuf:"bytes,2,opt,name=label_detection_config,json=labelDetectionConfig" json:"label_detection_config,omitempty"`
	// Config for SHOT_CHANGE_DETECTION.
	ShotChangeDetectionConfig *ShotChangeDetectionConfig `protobuf:"bytes,3,opt,name=shot_change_detection_config,json=shotChangeDetectionConfig" json:"shot_change_detection_config,omitempty"`
	// Config for EXPLICIT_CONTENT_DETECTION.
	ExplicitContentDetectionConfig *ExplicitContentDetectionConfig `protobuf:"bytes,4,opt,name=explicit_content_detection_config,json=explicitContentDetectionConfig" json:"explicit_content_detection_config,omitempty"`
	// Config for FACE_DETECTION.
	FaceDetectionConfig *FaceDetectionConfig `protobuf:"bytes,5,opt,name=face_detection_config,json=faceDetectionConfig" json:"face_detection_config,omitempty"`
}

func (m *VideoContext) Reset()                    { *m = VideoContext{} }
func (m *VideoContext) String() string            { return proto.CompactTextString(m) }
func (*VideoContext) ProtoMessage()               {}
func (*VideoContext) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{1} }

func (m *VideoContext) GetSegments() []*VideoSegment {
	if m != nil {
		return m.Segments
	}
	return nil
}

func (m *VideoContext) GetLabelDetectionConfig() *LabelDetectionConfig {
	if m != nil {
		return m.LabelDetectionConfig
	}
	return nil
}

func (m *VideoContext) GetShotChangeDetectionConfig() *ShotChangeDetectionConfig {
	if m != nil {
		return m.ShotChangeDetectionConfig
	}
	return nil
}

func (m *VideoContext) GetExplicitContentDetectionConfig() *ExplicitContentDetectionConfig {
	if m != nil {
		return m.ExplicitContentDetectionConfig
	}
	return nil
}

func (m *VideoContext) GetFaceDetectionConfig() *FaceDetectionConfig {
	if m != nil {
		return m.FaceDetectionConfig
	}
	return nil
}

// Config for LABEL_DETECTION.
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 `protobuf:"varint,1,opt,name=label_detection_mode,json=labelDetectionMode,enum=google.cloud.videointelligence.v1beta2.LabelDetectionMode" json:"label_detection_mode,omitempty"`
	// 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" 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" json:"model,omitempty"`
}

func (m *LabelDetectionConfig) Reset()                    { *m = LabelDetectionConfig{} }
func (m *LabelDetectionConfig) String() string            { return proto.CompactTextString(m) }
func (*LabelDetectionConfig) ProtoMessage()               {}
func (*LabelDetectionConfig) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{2} }

func (m *LabelDetectionConfig) GetLabelDetectionMode() LabelDetectionMode {
	if m != nil {
		return m.LabelDetectionMode
	}
	return LabelDetectionMode_LABEL_DETECTION_MODE_UNSPECIFIED
}

func (m *LabelDetectionConfig) GetStationaryCamera() bool {
	if m != nil {
		return m.StationaryCamera
	}
	return false
}

func (m *LabelDetectionConfig) GetModel() string {
	if m != nil {
		return m.Model
	}
	return ""
}

// Config for SHOT_CHANGE_DETECTION.
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" json:"model,omitempty"`
}

func (m *ShotChangeDetectionConfig) Reset()                    { *m = ShotChangeDetectionConfig{} }
func (m *ShotChangeDetectionConfig) String() string            { return proto.CompactTextString(m) }
func (*ShotChangeDetectionConfig) ProtoMessage()               {}
func (*ShotChangeDetectionConfig) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{3} }

func (m *ShotChangeDetectionConfig) GetModel() string {
	if m != nil {
		return m.Model
	}
	return ""
}

// Config for EXPLICIT_CONTENT_DETECTION.
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" json:"model,omitempty"`
}

func (m *ExplicitContentDetectionConfig) Reset()                    { *m = ExplicitContentDetectionConfig{} }
func (m *ExplicitContentDetectionConfig) String() string            { return proto.CompactTextString(m) }
func (*ExplicitContentDetectionConfig) ProtoMessage()               {}
func (*ExplicitContentDetectionConfig) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{4} }

func (m *ExplicitContentDetectionConfig) GetModel() string {
	if m != nil {
		return m.Model
	}
	return ""
}

// Config for FACE_DETECTION.
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" 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" json:"include_bounding_boxes,omitempty"`
}

func (m *FaceDetectionConfig) Reset()                    { *m = FaceDetectionConfig{} }
func (m *FaceDetectionConfig) String() string            { return proto.CompactTextString(m) }
func (*FaceDetectionConfig) ProtoMessage()               {}
func (*FaceDetectionConfig) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{5} }

func (m *FaceDetectionConfig) GetModel() string {
	if m != nil {
		return m.Model
	}
	return ""
}

func (m *FaceDetectionConfig) GetIncludeBoundingBoxes() bool {
	if m != nil {
		return m.IncludeBoundingBoxes
	}
	return false
}

// Video segment.
type VideoSegment struct {
	// Time-offset, relative to the beginning of the video,
	// corresponding to the start of the segment (inclusive).
	StartTimeOffset *google_protobuf3.Duration `protobuf:"bytes,1,opt,name=start_time_offset,json=startTimeOffset" json:"start_time_offset,omitempty"`
	// Time-offset, relative to the beginning of the video,
	// corresponding to the end of the segment (inclusive).
	EndTimeOffset *google_protobuf3.Duration `protobuf:"bytes,2,opt,name=end_time_offset,json=endTimeOffset" json:"end_time_offset,omitempty"`
}

func (m *VideoSegment) Reset()                    { *m = VideoSegment{} }
func (m *VideoSegment) String() string            { return proto.CompactTextString(m) }
func (*VideoSegment) ProtoMessage()               {}
func (*VideoSegment) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{6} }

func (m *VideoSegment) GetStartTimeOffset() *google_protobuf3.Duration {
	if m != nil {
		return m.StartTimeOffset
	}
	return nil
}

func (m *VideoSegment) GetEndTimeOffset() *google_protobuf3.Duration {
	if m != nil {
		return m.EndTimeOffset
	}
	return nil
}

// Video segment level annotation results for label detection.
type LabelSegment struct {
	// Video segment where a label was detected.
	Segment *VideoSegment `protobuf:"bytes,1,opt,name=segment" json:"segment,omitempty"`
	// Confidence that the label is accurate. Range: [0, 1].
	Confidence float32 `protobuf:"fixed32,2,opt,name=confidence" json:"confidence,omitempty"`
}

func (m *LabelSegment) Reset()                    { *m = LabelSegment{} }
func (m *LabelSegment) String() string            { return proto.CompactTextString(m) }
func (*LabelSegment) ProtoMessage()               {}
func (*LabelSegment) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{7} }

func (m *LabelSegment) GetSegment() *VideoSegment {
	if m != nil {
		return m.Segment
	}
	return nil
}

func (m *LabelSegment) GetConfidence() float32 {
	if m != nil {
		return m.Confidence
	}
	return 0
}

// Video frame level annotation results for label detection.
type LabelFrame struct {
	// Time-offset, relative to the beginning of the video, corresponding to the
	// video frame for this location.
	TimeOffset *google_protobuf3.Duration `protobuf:"bytes,1,opt,name=time_offset,json=timeOffset" json:"time_offset,omitempty"`
	// Confidence that the label is accurate. Range: [0, 1].
	Confidence float32 `protobuf:"fixed32,2,opt,name=confidence" json:"confidence,omitempty"`
}

func (m *LabelFrame) Reset()                    { *m = LabelFrame{} }
func (m *LabelFrame) String() string            { return proto.CompactTextString(m) }
func (*LabelFrame) ProtoMessage()               {}
func (*LabelFrame) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{8} }

func (m *LabelFrame) GetTimeOffset() *google_protobuf3.Duration {
	if m != nil {
		return m.TimeOffset
	}
	return nil
}

func (m *LabelFrame) GetConfidence() float32 {
	if m != nil {
		return m.Confidence
	}
	return 0
}

// Detected entity from video analysis.
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" json:"entity_id,omitempty"`
	// Textual description, e.g. `Fixed-gear bicycle`.
	Description string `protobuf:"bytes,2,opt,name=description" json:"description,omitempty"`
	// Language code for `description` in BCP-47 format.
	LanguageCode string `protobuf:"bytes,3,opt,name=language_code,json=languageCode" json:"language_code,omitempty"`
}

func (m *Entity) Reset()                    { *m = Entity{} }
func (m *Entity) String() string            { return proto.CompactTextString(m) }
func (*Entity) ProtoMessage()               {}
func (*Entity) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{9} }

func (m *Entity) GetEntityId() string {
	if m != nil {
		return m.EntityId
	}
	return ""
}

func (m *Entity) GetDescription() string {
	if m != nil {
		return m.Description
	}
	return ""
}

func (m *Entity) GetLanguageCode() string {
	if m != nil {
		return m.LanguageCode
	}
	return ""
}

// Label annotation.
type LabelAnnotation struct {
	// Detected entity.
	Entity *Entity `protobuf:"bytes,1,opt,name=entity" 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" json:"category_entities,omitempty"`
	// All video segments where a label was detected.
	Segments []*LabelSegment `protobuf:"bytes,3,rep,name=segments" json:"segments,omitempty"`
	// All video frames where a label was detected.
	Frames []*LabelFrame `protobuf:"bytes,4,rep,name=frames" json:"frames,omitempty"`
}

func (m *LabelAnnotation) Reset()                    { *m = LabelAnnotation{} }
func (m *LabelAnnotation) String() string            { return proto.CompactTextString(m) }
func (*LabelAnnotation) ProtoMessage()               {}
func (*LabelAnnotation) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{10} }

func (m *LabelAnnotation) GetEntity() *Entity {
	if m != nil {
		return m.Entity
	}
	return nil
}

func (m *LabelAnnotation) GetCategoryEntities() []*Entity {
	if m != nil {
		return m.CategoryEntities
	}
	return nil
}

func (m *LabelAnnotation) GetSegments() []*LabelSegment {
	if m != nil {
		return m.Segments
	}
	return nil
}

func (m *LabelAnnotation) GetFrames() []*LabelFrame {
	if m != nil {
		return m.Frames
	}
	return nil
}

// Video frame level annotation results for explicit content.
type ExplicitContentFrame struct {
	// Time-offset, relative to the beginning of the video, corresponding to the
	// video frame for this location.
	TimeOffset *google_protobuf3.Duration `protobuf:"bytes,1,opt,name=time_offset,json=timeOffset" json:"time_offset,omitempty"`
	// Likelihood of the pornography content..
	PornographyLikelihood Likelihood `protobuf:"varint,2,opt,name=pornography_likelihood,json=pornographyLikelihood,enum=google.cloud.videointelligence.v1beta2.Likelihood" json:"pornography_likelihood,omitempty"`
}

func (m *ExplicitContentFrame) Reset()                    { *m = ExplicitContentFrame{} }
func (m *ExplicitContentFrame) String() string            { return proto.CompactTextString(m) }
func (*ExplicitContentFrame) ProtoMessage()               {}
func (*ExplicitContentFrame) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{11} }

func (m *ExplicitContentFrame) GetTimeOffset() *google_protobuf3.Duration {
	if m != nil {
		return m.TimeOffset
	}
	return nil
}

func (m *ExplicitContentFrame) GetPornographyLikelihood() Likelihood {
	if m != nil {
		return m.PornographyLikelihood
	}
	return Likelihood_LIKELIHOOD_UNSPECIFIED
}

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

func (m *ExplicitContentAnnotation) Reset()                    { *m = ExplicitContentAnnotation{} }
func (m *ExplicitContentAnnotation) String() string            { return proto.CompactTextString(m) }
func (*ExplicitContentAnnotation) ProtoMessage()               {}
func (*ExplicitContentAnnotation) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{12} }

func (m *ExplicitContentAnnotation) GetFrames() []*ExplicitContentFrame {
	if m != nil {
		return m.Frames
	}
	return nil
}

// Normalized bounding box.
// The normalized vertex coordinates are relative to the original image.
// Range: [0, 1].
type NormalizedBoundingBox struct {
	// Left X coordinate.
	Left float32 `protobuf:"fixed32,1,opt,name=left" json:"left,omitempty"`
	// Top Y coordinate.
	Top float32 `protobuf:"fixed32,2,opt,name=top" json:"top,omitempty"`
	// Right X coordinate.
	Right float32 `protobuf:"fixed32,3,opt,name=right" json:"right,omitempty"`
	// Bottom Y coordinate.
	Bottom float32 `protobuf:"fixed32,4,opt,name=bottom" json:"bottom,omitempty"`
}

func (m *NormalizedBoundingBox) Reset()                    { *m = NormalizedBoundingBox{} }
func (m *NormalizedBoundingBox) String() string            { return proto.CompactTextString(m) }
func (*NormalizedBoundingBox) ProtoMessage()               {}
func (*NormalizedBoundingBox) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{13} }

func (m *NormalizedBoundingBox) GetLeft() float32 {
	if m != nil {
		return m.Left
	}
	return 0
}

func (m *NormalizedBoundingBox) GetTop() float32 {
	if m != nil {
		return m.Top
	}
	return 0
}

func (m *NormalizedBoundingBox) GetRight() float32 {
	if m != nil {
		return m.Right
	}
	return 0
}

func (m *NormalizedBoundingBox) GetBottom() float32 {
	if m != nil {
		return m.Bottom
	}
	return 0
}

// Video segment level annotation results for face detection.
type FaceSegment struct {
	// Video segment where a face was detected.
	Segment *VideoSegment `protobuf:"bytes,1,opt,name=segment" json:"segment,omitempty"`
}

func (m *FaceSegment) Reset()                    { *m = FaceSegment{} }
func (m *FaceSegment) String() string            { return proto.CompactTextString(m) }
func (*FaceSegment) ProtoMessage()               {}
func (*FaceSegment) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{14} }

func (m *FaceSegment) GetSegment() *VideoSegment {
	if m != nil {
		return m.Segment
	}
	return nil
}

// Video frame level annotation results for face detection.
type FaceFrame struct {
	// 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.
	NormalizedBoundingBoxes []*NormalizedBoundingBox `protobuf:"bytes,1,rep,name=normalized_bounding_boxes,json=normalizedBoundingBoxes" json:"normalized_bounding_boxes,omitempty"`
	// Time-offset, relative to the beginning of the video,
	// corresponding to the video frame for this location.
	TimeOffset *google_protobuf3.Duration `protobuf:"bytes,2,opt,name=time_offset,json=timeOffset" json:"time_offset,omitempty"`
}

func (m *FaceFrame) Reset()                    { *m = FaceFrame{} }
func (m *FaceFrame) String() string            { return proto.CompactTextString(m) }
func (*FaceFrame) ProtoMessage()               {}
func (*FaceFrame) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{15} }

func (m *FaceFrame) GetNormalizedBoundingBoxes() []*NormalizedBoundingBox {
	if m != nil {
		return m.NormalizedBoundingBoxes
	}
	return nil
}

func (m *FaceFrame) GetTimeOffset() *google_protobuf3.Duration {
	if m != nil {
		return m.TimeOffset
	}
	return nil
}

// Face annotation.
type FaceAnnotation struct {
	// Thumbnail of a representative face view (in JPEG format). Encoding: base64.
	Thumbnail []byte `protobuf:"bytes,1,opt,name=thumbnail,proto3" json:"thumbnail,omitempty"`
	// All video segments where a face was detected.
	Segments []*FaceSegment `protobuf:"bytes,2,rep,name=segments" json:"segments,omitempty"`
	// All video frames where a face was detected.
	Frames []*FaceFrame `protobuf:"bytes,3,rep,name=frames" json:"frames,omitempty"`
}

func (m *FaceAnnotation) Reset()                    { *m = FaceAnnotation{} }
func (m *FaceAnnotation) String() string            { return proto.CompactTextString(m) }
func (*FaceAnnotation) ProtoMessage()               {}
func (*FaceAnnotation) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{16} }

func (m *FaceAnnotation) GetThumbnail() []byte {
	if m != nil {
		return m.Thumbnail
	}
	return nil
}

func (m *FaceAnnotation) GetSegments() []*FaceSegment {
	if m != nil {
		return m.Segments
	}
	return nil
}

func (m *FaceAnnotation) GetFrames() []*FaceFrame {
	if m != nil {
		return m.Frames
	}
	return nil
}

// Annotation results for a single video.
type VideoAnnotationResults struct {
	// Video file location in
	// [Google Cloud Storage](https://cloud.google.com/storage/).
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri" json:"input_uri,omitempty"`
	// Label annotations on video level or user specified segment level.
	// There is exactly one element for each unique label.
	SegmentLabelAnnotations []*LabelAnnotation `protobuf:"bytes,2,rep,name=segment_label_annotations,json=segmentLabelAnnotations" json:"segment_label_annotations,omitempty"`
	// Label annotations on shot level.
	// There is exactly one element for each unique label.
	ShotLabelAnnotations []*LabelAnnotation `protobuf:"bytes,3,rep,name=shot_label_annotations,json=shotLabelAnnotations" json:"shot_label_annotations,omitempty"`
	// Label annotations on frame level.
	// There is exactly one element for each unique label.
	FrameLabelAnnotations []*LabelAnnotation `protobuf:"bytes,4,rep,name=frame_label_annotations,json=frameLabelAnnotations" json:"frame_label_annotations,omitempty"`
	// Face annotations. There is exactly one element for each unique face.
	FaceAnnotations []*FaceAnnotation `protobuf:"bytes,5,rep,name=face_annotations,json=faceAnnotations" json:"face_annotations,omitempty"`
	// Shot annotations. Each shot is represented as a video segment.
	ShotAnnotations []*VideoSegment `protobuf:"bytes,6,rep,name=shot_annotations,json=shotAnnotations" json:"shot_annotations,omitempty"`
	// Explicit content annotation.
	ExplicitAnnotation *ExplicitContentAnnotation `protobuf:"bytes,7,opt,name=explicit_annotation,json=explicitAnnotation" json:"explicit_annotation,omitempty"`
	// If set, indicates an error. Note that for a single `AnnotateVideoRequest`
	// some videos may succeed and some may fail.
	Error *google_rpc.Status `protobuf:"bytes,9,opt,name=error" json:"error,omitempty"`
}

func (m *VideoAnnotationResults) Reset()                    { *m = VideoAnnotationResults{} }
func (m *VideoAnnotationResults) String() string            { return proto.CompactTextString(m) }
func (*VideoAnnotationResults) ProtoMessage()               {}
func (*VideoAnnotationResults) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{17} }

func (m *VideoAnnotationResults) GetInputUri() string {
	if m != nil {
		return m.InputUri
	}
	return ""
}

func (m *VideoAnnotationResults) GetSegmentLabelAnnotations() []*LabelAnnotation {
	if m != nil {
		return m.SegmentLabelAnnotations
	}
	return nil
}

func (m *VideoAnnotationResults) GetShotLabelAnnotations() []*LabelAnnotation {
	if m != nil {
		return m.ShotLabelAnnotations
	}
	return nil
}

func (m *VideoAnnotationResults) GetFrameLabelAnnotations() []*LabelAnnotation {
	if m != nil {
		return m.FrameLabelAnnotations
	}
	return nil
}

func (m *VideoAnnotationResults) GetFaceAnnotations() []*FaceAnnotation {
	if m != nil {
		return m.FaceAnnotations
	}
	return nil
}

func (m *VideoAnnotationResults) GetShotAnnotations() []*VideoSegment {
	if m != nil {
		return m.ShotAnnotations
	}
	return nil
}

func (m *VideoAnnotationResults) GetExplicitAnnotation() *ExplicitContentAnnotation {
	if m != nil {
		return m.ExplicitAnnotation
	}
	return nil
}

func (m *VideoAnnotationResults) GetError() *google_rpc.Status {
	if m != nil {
		return m.Error
	}
	return nil
}

// Video annotation response. Included in the `response`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
type AnnotateVideoResponse struct {
	// Annotation results for all videos specified in `AnnotateVideoRequest`.
	AnnotationResults []*VideoAnnotationResults `protobuf:"bytes,1,rep,name=annotation_results,json=annotationResults" json:"annotation_results,omitempty"`
}

func (m *AnnotateVideoResponse) Reset()                    { *m = AnnotateVideoResponse{} }
func (m *AnnotateVideoResponse) String() string            { return proto.CompactTextString(m) }
func (*AnnotateVideoResponse) ProtoMessage()               {}
func (*AnnotateVideoResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{18} }

func (m *AnnotateVideoResponse) GetAnnotationResults() []*VideoAnnotationResults {
	if m != nil {
		return m.AnnotationResults
	}
	return nil
}

// Annotation progress for a single video.
type VideoAnnotationProgress struct {
	// Video file location in
	// [Google Cloud Storage](https://cloud.google.com/storage/).
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri" json:"input_uri,omitempty"`
	// Approximate percentage processed thus far.
	// Guaranteed to be 100 when fully processed.
	ProgressPercent int32 `protobuf:"varint,2,opt,name=progress_percent,json=progressPercent" json:"progress_percent,omitempty"`
	// Time when the request was received.
	StartTime *google_protobuf4.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime" json:"start_time,omitempty"`
	// Time of the most recent update.
	UpdateTime *google_protobuf4.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime" json:"update_time,omitempty"`
}

func (m *VideoAnnotationProgress) Reset()                    { *m = VideoAnnotationProgress{} }
func (m *VideoAnnotationProgress) String() string            { return proto.CompactTextString(m) }
func (*VideoAnnotationProgress) ProtoMessage()               {}
func (*VideoAnnotationProgress) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{19} }

func (m *VideoAnnotationProgress) GetInputUri() string {
	if m != nil {
		return m.InputUri
	}
	return ""
}

func (m *VideoAnnotationProgress) GetProgressPercent() int32 {
	if m != nil {
		return m.ProgressPercent
	}
	return 0
}

func (m *VideoAnnotationProgress) GetStartTime() *google_protobuf4.Timestamp {
	if m != nil {
		return m.StartTime
	}
	return nil
}

func (m *VideoAnnotationProgress) GetUpdateTime() *google_protobuf4.Timestamp {
	if m != nil {
		return m.UpdateTime
	}
	return nil
}

// Video annotation progress. Included in the `metadata`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
type AnnotateVideoProgress struct {
	// Progress metadata for all videos specified in `AnnotateVideoRequest`.
	AnnotationProgress []*VideoAnnotationProgress `protobuf:"bytes,1,rep,name=annotation_progress,json=annotationProgress" json:"annotation_progress,omitempty"`
}

func (m *AnnotateVideoProgress) Reset()                    { *m = AnnotateVideoProgress{} }
func (m *AnnotateVideoProgress) String() string            { return proto.CompactTextString(m) }
func (*AnnotateVideoProgress) ProtoMessage()               {}
func (*AnnotateVideoProgress) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{20} }

func (m *AnnotateVideoProgress) GetAnnotationProgress() []*VideoAnnotationProgress {
	if m != nil {
		return m.AnnotationProgress
	}
	return nil
}

func init() {
	proto.RegisterType((*AnnotateVideoRequest)(nil), "google.cloud.videointelligence.v1beta2.AnnotateVideoRequest")
	proto.RegisterType((*VideoContext)(nil), "google.cloud.videointelligence.v1beta2.VideoContext")
	proto.RegisterType((*LabelDetectionConfig)(nil), "google.cloud.videointelligence.v1beta2.LabelDetectionConfig")
	proto.RegisterType((*ShotChangeDetectionConfig)(nil), "google.cloud.videointelligence.v1beta2.ShotChangeDetectionConfig")
	proto.RegisterType((*ExplicitContentDetectionConfig)(nil), "google.cloud.videointelligence.v1beta2.ExplicitContentDetectionConfig")
	proto.RegisterType((*FaceDetectionConfig)(nil), "google.cloud.videointelligence.v1beta2.FaceDetectionConfig")
	proto.RegisterType((*VideoSegment)(nil), "google.cloud.videointelligence.v1beta2.VideoSegment")
	proto.RegisterType((*LabelSegment)(nil), "google.cloud.videointelligence.v1beta2.LabelSegment")
	proto.RegisterType((*LabelFrame)(nil), "google.cloud.videointelligence.v1beta2.LabelFrame")
	proto.RegisterType((*Entity)(nil), "google.cloud.videointelligence.v1beta2.Entity")
	proto.RegisterType((*LabelAnnotation)(nil), "google.cloud.videointelligence.v1beta2.LabelAnnotation")
	proto.RegisterType((*ExplicitContentFrame)(nil), "google.cloud.videointelligence.v1beta2.ExplicitContentFrame")
	proto.RegisterType((*ExplicitContentAnnotation)(nil), "google.cloud.videointelligence.v1beta2.ExplicitContentAnnotation")
	proto.RegisterType((*NormalizedBoundingBox)(nil), "google.cloud.videointelligence.v1beta2.NormalizedBoundingBox")
	proto.RegisterType((*FaceSegment)(nil), "google.cloud.videointelligence.v1beta2.FaceSegment")
	proto.RegisterType((*FaceFrame)(nil), "google.cloud.videointelligence.v1beta2.FaceFrame")
	proto.RegisterType((*FaceAnnotation)(nil), "google.cloud.videointelligence.v1beta2.FaceAnnotation")
	proto.RegisterType((*VideoAnnotationResults)(nil), "google.cloud.videointelligence.v1beta2.VideoAnnotationResults")
	proto.RegisterType((*AnnotateVideoResponse)(nil), "google.cloud.videointelligence.v1beta2.AnnotateVideoResponse")
	proto.RegisterType((*VideoAnnotationProgress)(nil), "google.cloud.videointelligence.v1beta2.VideoAnnotationProgress")
	proto.RegisterType((*AnnotateVideoProgress)(nil), "google.cloud.videointelligence.v1beta2.AnnotateVideoProgress")
	proto.RegisterEnum("google.cloud.videointelligence.v1beta2.Feature", Feature_name, Feature_value)
	proto.RegisterEnum("google.cloud.videointelligence.v1beta2.LabelDetectionMode", LabelDetectionMode_name, LabelDetectionMode_value)
	proto.RegisterEnum("google.cloud.videointelligence.v1beta2.Likelihood", Likelihood_name, Likelihood_value)
}

// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConn

// This is a compile-time assertion to ensure that this generated file
// is compatible with the grpc package it is being compiled against.
const _ = grpc.SupportPackageIsVersion4

// Client API for VideoIntelligenceService service

type VideoIntelligenceServiceClient interface {
	// 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).
	AnnotateVideo(ctx context.Context, in *AnnotateVideoRequest, opts ...grpc.CallOption) (*google_longrunning.Operation, error)
}

type videoIntelligenceServiceClient struct {
	cc *grpc.ClientConn
}

func NewVideoIntelligenceServiceClient(cc *grpc.ClientConn) VideoIntelligenceServiceClient {
	return &videoIntelligenceServiceClient{cc}
}

func (c *videoIntelligenceServiceClient) AnnotateVideo(ctx context.Context, in *AnnotateVideoRequest, opts ...grpc.CallOption) (*google_longrunning.Operation, error) {
	out := new(google_longrunning.Operation)
	err := grpc.Invoke(ctx, "/google.cloud.videointelligence.v1beta2.VideoIntelligenceService/AnnotateVideo", in, out, c.cc, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

// Server API for VideoIntelligenceService service

type VideoIntelligenceServiceServer interface {
	// 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).
	AnnotateVideo(context.Context, *AnnotateVideoRequest) (*google_longrunning.Operation, error)
}

func RegisterVideoIntelligenceServiceServer(s *grpc.Server, srv VideoIntelligenceServiceServer) {
	s.RegisterService(&_VideoIntelligenceService_serviceDesc, srv)
}

func _VideoIntelligenceService_AnnotateVideo_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(AnnotateVideoRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(VideoIntelligenceServiceServer).AnnotateVideo(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.videointelligence.v1beta2.VideoIntelligenceService/AnnotateVideo",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(VideoIntelligenceServiceServer).AnnotateVideo(ctx, req.(*AnnotateVideoRequest))
	}
	return interceptor(ctx, in, info, handler)
}

var _VideoIntelligenceService_serviceDesc = grpc.ServiceDesc{
	ServiceName: "google.cloud.videointelligence.v1beta2.VideoIntelligenceService",
	HandlerType: (*VideoIntelligenceServiceServer)(nil),
	Methods: []grpc.MethodDesc{
		{
			MethodName: "AnnotateVideo",
			Handler:    _VideoIntelligenceService_AnnotateVideo_Handler,
		},
	},
	Streams:  []grpc.StreamDesc{},
	Metadata: "google/cloud/videointelligence/v1beta2/video_intelligence.proto",
}

func init() {
	proto.RegisterFile("google/cloud/videointelligence/v1beta2/video_intelligence.proto", fileDescriptor0)
}

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