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Serguei Bezverkhi
2018-01-09 13:57:14 -05:00
parent 558bc6c02a
commit 7b24313bd6
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// Code generated by protoc-gen-go. DO NOT EDIT.
// source: google/cloud/videointelligence/v1beta1/video_intelligence.proto
/*
Package videointelligence is a generated protocol buffer package.
It is generated from these files:
google/cloud/videointelligence/v1beta1/video_intelligence.proto
It has these top-level messages:
AnnotateVideoRequest
VideoContext
VideoSegment
LabelLocation
LabelAnnotation
SafeSearchAnnotation
BoundingBox
FaceLocation
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/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
// Human face detection and tracking.
Feature_FACE_DETECTION Feature = 2
// Shot change detection.
Feature_SHOT_CHANGE_DETECTION Feature = 3
// Safe search detection.
Feature_SAFE_SEARCH_DETECTION Feature = 4
)
var Feature_name = map[int32]string{
0: "FEATURE_UNSPECIFIED",
1: "LABEL_DETECTION",
2: "FACE_DETECTION",
3: "SHOT_CHANGE_DETECTION",
4: "SAFE_SEARCH_DETECTION",
}
var Feature_value = map[string]int32{
"FEATURE_UNSPECIFIED": 0,
"LABEL_DETECTION": 1,
"FACE_DETECTION": 2,
"SHOT_CHANGE_DETECTION": 3,
"SAFE_SEARCH_DETECTION": 4,
}
func (x Feature) String() string {
return proto.EnumName(Feature_name, int32(x))
}
func (Feature) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }
// Label level (scope).
type LabelLevel int32
const (
// Unspecified.
LabelLevel_LABEL_LEVEL_UNSPECIFIED LabelLevel = 0
// Video-level. Corresponds to the whole video.
LabelLevel_VIDEO_LEVEL LabelLevel = 1
// Segment-level. Corresponds to one of `AnnotateSpec.segments`.
LabelLevel_SEGMENT_LEVEL LabelLevel = 2
// Shot-level. Corresponds to a single shot (i.e. a series of frames
// without a major camera position or background change).
LabelLevel_SHOT_LEVEL LabelLevel = 3
// Frame-level. Corresponds to a single video frame.
LabelLevel_FRAME_LEVEL LabelLevel = 4
)
var LabelLevel_name = map[int32]string{
0: "LABEL_LEVEL_UNSPECIFIED",
1: "VIDEO_LEVEL",
2: "SEGMENT_LEVEL",
3: "SHOT_LEVEL",
4: "FRAME_LEVEL",
}
var LabelLevel_value = map[string]int32{
"LABEL_LEVEL_UNSPECIFIED": 0,
"VIDEO_LEVEL": 1,
"SEGMENT_LEVEL": 2,
"SHOT_LEVEL": 3,
"FRAME_LEVEL": 4,
}
func (x LabelLevel) String() string {
return proto.EnumName(LabelLevel_name, int32(x))
}
func (LabelLevel) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{1} }
// 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{2} }
// Bucketized representation of likelihood.
type Likelihood int32
const (
// Unknown likelihood.
Likelihood_UNKNOWN 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: "UNKNOWN",
1: "VERY_UNLIKELY",
2: "UNLIKELY",
3: "POSSIBLE",
4: "LIKELY",
5: "VERY_LIKELY",
}
var Likelihood_value = map[string]int32{
"UNKNOWN": 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{3} }
// 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 string `protobuf:"bytes,6,opt,name=input_content,json=inputContent" json:"input_content,omitempty"`
// Requested video annotation features.
Features []Feature `protobuf:"varint,2,rep,packed,name=features,enum=google.cloud.videointelligence.v1beta1.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() string {
if m != nil {
return m.InputContent
}
return ""
}
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"`
// If label detection has been requested, what labels should be detected
// in addition to video-level labels or segment-level labels. If unspecified,
// defaults to `SHOT_MODE`.
LabelDetectionMode LabelDetectionMode `protobuf:"varint,2,opt,name=label_detection_mode,json=labelDetectionMode,enum=google.cloud.videointelligence.v1beta1.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.
StationaryCamera bool `protobuf:"varint,3,opt,name=stationary_camera,json=stationaryCamera" json:"stationary_camera,omitempty"`
// Model to use for label detection.
// Supported values: "latest" and "stable" (the default).
LabelDetectionModel string `protobuf:"bytes,4,opt,name=label_detection_model,json=labelDetectionModel" json:"label_detection_model,omitempty"`
// Model to use for face detection.
// Supported values: "latest" and "stable" (the default).
FaceDetectionModel string `protobuf:"bytes,5,opt,name=face_detection_model,json=faceDetectionModel" json:"face_detection_model,omitempty"`
// Model to use for shot change detection.
// Supported values: "latest" and "stable" (the default).
ShotChangeDetectionModel string `protobuf:"bytes,6,opt,name=shot_change_detection_model,json=shotChangeDetectionModel" json:"shot_change_detection_model,omitempty"`
// Model to use for safe search detection.
// Supported values: "latest" and "stable" (the default).
SafeSearchDetectionModel string `protobuf:"bytes,7,opt,name=safe_search_detection_model,json=safeSearchDetectionModel" json:"safe_search_detection_model,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) GetLabelDetectionMode() LabelDetectionMode {
if m != nil {
return m.LabelDetectionMode
}
return LabelDetectionMode_LABEL_DETECTION_MODE_UNSPECIFIED
}
func (m *VideoContext) GetStationaryCamera() bool {
if m != nil {
return m.StationaryCamera
}
return false
}
func (m *VideoContext) GetLabelDetectionModel() string {
if m != nil {
return m.LabelDetectionModel
}
return ""
}
func (m *VideoContext) GetFaceDetectionModel() string {
if m != nil {
return m.FaceDetectionModel
}
return ""
}
func (m *VideoContext) GetShotChangeDetectionModel() string {
if m != nil {
return m.ShotChangeDetectionModel
}
return ""
}
func (m *VideoContext) GetSafeSearchDetectionModel() string {
if m != nil {
return m.SafeSearchDetectionModel
}
return ""
}
// Video segment.
type VideoSegment struct {
// Start offset in microseconds (inclusive). Unset means 0.
StartTimeOffset int64 `protobuf:"varint,1,opt,name=start_time_offset,json=startTimeOffset" json:"start_time_offset,omitempty"`
// End offset in microseconds (inclusive). Unset means 0.
EndTimeOffset int64 `protobuf:"varint,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{2} }
func (m *VideoSegment) GetStartTimeOffset() int64 {
if m != nil {
return m.StartTimeOffset
}
return 0
}
func (m *VideoSegment) GetEndTimeOffset() int64 {
if m != nil {
return m.EndTimeOffset
}
return 0
}
// Label location.
type LabelLocation struct {
// Video segment. Set to [-1, -1] for video-level labels.
// Set to [timestamp, timestamp] for frame-level labels.
// Otherwise, corresponds to one of `AnnotateSpec.segments`
// (if specified) or to shot boundaries (if requested).
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"`
// Label level.
Level LabelLevel `protobuf:"varint,3,opt,name=level,enum=google.cloud.videointelligence.v1beta1.LabelLevel" json:"level,omitempty"`
}
func (m *LabelLocation) Reset() { *m = LabelLocation{} }
func (m *LabelLocation) String() string { return proto.CompactTextString(m) }
func (*LabelLocation) ProtoMessage() {}
func (*LabelLocation) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{3} }
func (m *LabelLocation) GetSegment() *VideoSegment {
if m != nil {
return m.Segment
}
return nil
}
func (m *LabelLocation) GetConfidence() float32 {
if m != nil {
return m.Confidence
}
return 0
}
func (m *LabelLocation) GetLevel() LabelLevel {
if m != nil {
return m.Level
}
return LabelLevel_LABEL_LEVEL_UNSPECIFIED
}
// Label annotation.
type LabelAnnotation struct {
// Textual description, e.g. `Fixed-gear bicycle`.
Description string `protobuf:"bytes,1,opt,name=description" json:"description,omitempty"`
// Language code for `description` in BCP-47 format.
LanguageCode string `protobuf:"bytes,2,opt,name=language_code,json=languageCode" json:"language_code,omitempty"`
// Where the label was detected and with what confidence.
Locations []*LabelLocation `protobuf:"bytes,3,rep,name=locations" json:"locations,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{4} }
func (m *LabelAnnotation) GetDescription() string {
if m != nil {
return m.Description
}
return ""
}
func (m *LabelAnnotation) GetLanguageCode() string {
if m != nil {
return m.LanguageCode
}
return ""
}
func (m *LabelAnnotation) GetLocations() []*LabelLocation {
if m != nil {
return m.Locations
}
return nil
}
// Safe search annotation (based on per-frame visual signals only).
// If no unsafe content has been detected in a frame, no annotations
// are present for that frame. If only some types of unsafe content
// have been detected in a frame, the likelihood is set to `UNKNOWN`
// for all other types of unsafe content.
type SafeSearchAnnotation struct {
// Likelihood of adult content.
Adult Likelihood `protobuf:"varint,1,opt,name=adult,enum=google.cloud.videointelligence.v1beta1.Likelihood" json:"adult,omitempty"`
// Likelihood that an obvious modification was made to the original
// version to make it appear funny or offensive.
Spoof Likelihood `protobuf:"varint,2,opt,name=spoof,enum=google.cloud.videointelligence.v1beta1.Likelihood" json:"spoof,omitempty"`
// Likelihood of medical content.
Medical Likelihood `protobuf:"varint,3,opt,name=medical,enum=google.cloud.videointelligence.v1beta1.Likelihood" json:"medical,omitempty"`
// Likelihood of violent content.
Violent Likelihood `protobuf:"varint,4,opt,name=violent,enum=google.cloud.videointelligence.v1beta1.Likelihood" json:"violent,omitempty"`
// Likelihood of racy content.
Racy Likelihood `protobuf:"varint,5,opt,name=racy,enum=google.cloud.videointelligence.v1beta1.Likelihood" json:"racy,omitempty"`
// Video time offset in microseconds.
TimeOffset int64 `protobuf:"varint,6,opt,name=time_offset,json=timeOffset" json:"time_offset,omitempty"`
}
func (m *SafeSearchAnnotation) Reset() { *m = SafeSearchAnnotation{} }
func (m *SafeSearchAnnotation) String() string { return proto.CompactTextString(m) }
func (*SafeSearchAnnotation) ProtoMessage() {}
func (*SafeSearchAnnotation) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{5} }
func (m *SafeSearchAnnotation) GetAdult() Likelihood {
if m != nil {
return m.Adult
}
return Likelihood_UNKNOWN
}
func (m *SafeSearchAnnotation) GetSpoof() Likelihood {
if m != nil {
return m.Spoof
}
return Likelihood_UNKNOWN
}
func (m *SafeSearchAnnotation) GetMedical() Likelihood {
if m != nil {
return m.Medical
}
return Likelihood_UNKNOWN
}
func (m *SafeSearchAnnotation) GetViolent() Likelihood {
if m != nil {
return m.Violent
}
return Likelihood_UNKNOWN
}
func (m *SafeSearchAnnotation) GetRacy() Likelihood {
if m != nil {
return m.Racy
}
return Likelihood_UNKNOWN
}
func (m *SafeSearchAnnotation) GetTimeOffset() int64 {
if m != nil {
return m.TimeOffset
}
return 0
}
// Bounding box.
type BoundingBox struct {
// Left X coordinate.
Left int32 `protobuf:"varint,1,opt,name=left" json:"left,omitempty"`
// Right X coordinate.
Right int32 `protobuf:"varint,2,opt,name=right" json:"right,omitempty"`
// Bottom Y coordinate.
Bottom int32 `protobuf:"varint,3,opt,name=bottom" json:"bottom,omitempty"`
// Top Y coordinate.
Top int32 `protobuf:"varint,4,opt,name=top" json:"top,omitempty"`
}
func (m *BoundingBox) Reset() { *m = BoundingBox{} }
func (m *BoundingBox) String() string { return proto.CompactTextString(m) }
func (*BoundingBox) ProtoMessage() {}
func (*BoundingBox) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{6} }
func (m *BoundingBox) GetLeft() int32 {
if m != nil {
return m.Left
}
return 0
}
func (m *BoundingBox) GetRight() int32 {
if m != nil {
return m.Right
}
return 0
}
func (m *BoundingBox) GetBottom() int32 {
if m != nil {
return m.Bottom
}
return 0
}
func (m *BoundingBox) GetTop() int32 {
if m != nil {
return m.Top
}
return 0
}
// Face location.
type FaceLocation struct {
// Bounding box in a frame.
BoundingBox *BoundingBox `protobuf:"bytes,1,opt,name=bounding_box,json=boundingBox" json:"bounding_box,omitempty"`
// Video time offset in microseconds.
TimeOffset int64 `protobuf:"varint,2,opt,name=time_offset,json=timeOffset" json:"time_offset,omitempty"`
}
func (m *FaceLocation) Reset() { *m = FaceLocation{} }
func (m *FaceLocation) String() string { return proto.CompactTextString(m) }
func (*FaceLocation) ProtoMessage() {}
func (*FaceLocation) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{7} }
func (m *FaceLocation) GetBoundingBox() *BoundingBox {
if m != nil {
return m.BoundingBox
}
return nil
}
func (m *FaceLocation) GetTimeOffset() int64 {
if m != nil {
return m.TimeOffset
}
return 0
}
// Face annotation.
type FaceAnnotation struct {
// Thumbnail of a representative face view (in JPEG format). Encoding: base64.
Thumbnail string `protobuf:"bytes,1,opt,name=thumbnail" json:"thumbnail,omitempty"`
// All locations where a face was detected.
// Faces are detected and tracked on a per-video basis
// (as opposed to across multiple videos).
Segments []*VideoSegment `protobuf:"bytes,2,rep,name=segments" json:"segments,omitempty"`
// Face locations at one frame per second.
Locations []*FaceLocation `protobuf:"bytes,3,rep,name=locations" json:"locations,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{8} }
func (m *FaceAnnotation) GetThumbnail() string {
if m != nil {
return m.Thumbnail
}
return ""
}
func (m *FaceAnnotation) GetSegments() []*VideoSegment {
if m != nil {
return m.Segments
}
return nil
}
func (m *FaceAnnotation) GetLocations() []*FaceLocation {
if m != nil {
return m.Locations
}
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. There is exactly one element for each unique label.
LabelAnnotations []*LabelAnnotation `protobuf:"bytes,2,rep,name=label_annotations,json=labelAnnotations" json:"label_annotations,omitempty"`
// Face annotations. There is exactly one element for each unique face.
FaceAnnotations []*FaceAnnotation `protobuf:"bytes,3,rep,name=face_annotations,json=faceAnnotations" json:"face_annotations,omitempty"`
// Shot annotations. Each shot is represented as a video segment.
ShotAnnotations []*VideoSegment `protobuf:"bytes,4,rep,name=shot_annotations,json=shotAnnotations" json:"shot_annotations,omitempty"`
// Safe search annotations.
SafeSearchAnnotations []*SafeSearchAnnotation `protobuf:"bytes,6,rep,name=safe_search_annotations,json=safeSearchAnnotations" json:"safe_search_annotations,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,5,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{9} }
func (m *VideoAnnotationResults) GetInputUri() string {
if m != nil {
return m.InputUri
}
return ""
}
func (m *VideoAnnotationResults) GetLabelAnnotations() []*LabelAnnotation {
if m != nil {
return m.LabelAnnotations
}
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) GetSafeSearchAnnotations() []*SafeSearchAnnotation {
if m != nil {
return m.SafeSearchAnnotations
}
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{10} }
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_protobuf3.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime" json:"start_time,omitempty"`
// Time of the most recent update.
UpdateTime *google_protobuf3.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{11} }
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_protobuf3.Timestamp {
if m != nil {
return m.StartTime
}
return nil
}
func (m *VideoAnnotationProgress) GetUpdateTime() *google_protobuf3.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{12} }
func (m *AnnotateVideoProgress) GetAnnotationProgress() []*VideoAnnotationProgress {
if m != nil {
return m.AnnotationProgress
}
return nil
}
func init() {
proto.RegisterType((*AnnotateVideoRequest)(nil), "google.cloud.videointelligence.v1beta1.AnnotateVideoRequest")
proto.RegisterType((*VideoContext)(nil), "google.cloud.videointelligence.v1beta1.VideoContext")
proto.RegisterType((*VideoSegment)(nil), "google.cloud.videointelligence.v1beta1.VideoSegment")
proto.RegisterType((*LabelLocation)(nil), "google.cloud.videointelligence.v1beta1.LabelLocation")
proto.RegisterType((*LabelAnnotation)(nil), "google.cloud.videointelligence.v1beta1.LabelAnnotation")
proto.RegisterType((*SafeSearchAnnotation)(nil), "google.cloud.videointelligence.v1beta1.SafeSearchAnnotation")
proto.RegisterType((*BoundingBox)(nil), "google.cloud.videointelligence.v1beta1.BoundingBox")
proto.RegisterType((*FaceLocation)(nil), "google.cloud.videointelligence.v1beta1.FaceLocation")
proto.RegisterType((*FaceAnnotation)(nil), "google.cloud.videointelligence.v1beta1.FaceAnnotation")
proto.RegisterType((*VideoAnnotationResults)(nil), "google.cloud.videointelligence.v1beta1.VideoAnnotationResults")
proto.RegisterType((*AnnotateVideoResponse)(nil), "google.cloud.videointelligence.v1beta1.AnnotateVideoResponse")
proto.RegisterType((*VideoAnnotationProgress)(nil), "google.cloud.videointelligence.v1beta1.VideoAnnotationProgress")
proto.RegisterType((*AnnotateVideoProgress)(nil), "google.cloud.videointelligence.v1beta1.AnnotateVideoProgress")
proto.RegisterEnum("google.cloud.videointelligence.v1beta1.Feature", Feature_name, Feature_value)
proto.RegisterEnum("google.cloud.videointelligence.v1beta1.LabelLevel", LabelLevel_name, LabelLevel_value)
proto.RegisterEnum("google.cloud.videointelligence.v1beta1.LabelDetectionMode", LabelDetectionMode_name, LabelDetectionMode_value)
proto.RegisterEnum("google.cloud.videointelligence.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.VideoIntelligenceService",
HandlerType: (*VideoIntelligenceServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "AnnotateVideo",
Handler: _VideoIntelligenceService_AnnotateVideo_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/videointelligence/v1beta1/video_intelligence.proto",
}
func init() {
proto.RegisterFile("google/cloud/videointelligence/v1beta1/video_intelligence.proto", fileDescriptor0)
}
var fileDescriptor0 = []byte{
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}

1159
vendor/google.golang.org/genproto/googleapis/cloud/videointelligence/v1beta2/video_intelligence.pb.go generated vendored Normal file
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