blob: d5dec255f10948f187883a2bd7e8fd852d677d28 [file] [log] [blame]
// Code generated by protoc-gen-go. DO NOT EDIT.
// source: google/cloud/videointelligence/v1/video_intelligence.proto
package videointelligence // import "google.golang.org/genproto/googleapis/cloud/videointelligence/v1"
import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import duration "github.com/golang/protobuf/ptypes/duration"
import timestamp "github.com/golang/protobuf/ptypes/timestamp"
import _ "google.golang.org/genproto/googleapis/api/annotations"
import longrunning "google.golang.org/genproto/googleapis/longrunning"
import status "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 fileDescriptor_video_intelligence_a20810d9dd100185, []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 fileDescriptor_video_intelligence_a20810d9dd100185, []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 fileDescriptor_video_intelligence_a20810d9dd100185, []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,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"`
// Requested video annotation features.
Features []Feature `protobuf:"varint,2,rep,packed,name=features,proto3,enum=google.cloud.videointelligence.v1.Feature" json:"features,omitempty"`
// 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](/storage/docs/reference-uris).
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:"-"`
}
func (m *AnnotateVideoRequest) Reset() { *m = AnnotateVideoRequest{} }
func (m *AnnotateVideoRequest) String() string { return proto.CompactTextString(m) }
func (*AnnotateVideoRequest) ProtoMessage() {}
func (*AnnotateVideoRequest) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{0}
}
func (m *AnnotateVideoRequest) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_AnnotateVideoRequest.Unmarshal(m, b)
}
func (m *AnnotateVideoRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_AnnotateVideoRequest.Marshal(b, m, deterministic)
}
func (dst *AnnotateVideoRequest) XXX_Merge(src proto.Message) {
xxx_messageInfo_AnnotateVideoRequest.Merge(dst, src)
}
func (m *AnnotateVideoRequest) XXX_Size() int {
return xxx_messageInfo_AnnotateVideoRequest.Size(m)
}
func (m *AnnotateVideoRequest) XXX_DiscardUnknown() {
xxx_messageInfo_AnnotateVideoRequest.DiscardUnknown(m)
}
var xxx_messageInfo_AnnotateVideoRequest proto.InternalMessageInfo
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,proto3" json:"segments,omitempty"`
// Config for LABEL_DETECTION.
LabelDetectionConfig *LabelDetectionConfig `protobuf:"bytes,2,opt,name=label_detection_config,json=labelDetectionConfig,proto3" json:"label_detection_config,omitempty"`
// Config for SHOT_CHANGE_DETECTION.
ShotChangeDetectionConfig *ShotChangeDetectionConfig `protobuf:"bytes,3,opt,name=shot_change_detection_config,json=shotChangeDetectionConfig,proto3" json:"shot_change_detection_config,omitempty"`
// Config for EXPLICIT_CONTENT_DETECTION.
ExplicitContentDetectionConfig *ExplicitContentDetectionConfig `protobuf:"bytes,4,opt,name=explicit_content_detection_config,json=explicitContentDetectionConfig,proto3" json:"explicit_content_detection_config,omitempty"`
// Config for FACE_DETECTION.
FaceDetectionConfig *FaceDetectionConfig `protobuf:"bytes,5,opt,name=face_detection_config,json=faceDetectionConfig,proto3" json:"face_detection_config,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *VideoContext) Reset() { *m = VideoContext{} }
func (m *VideoContext) String() string { return proto.CompactTextString(m) }
func (*VideoContext) ProtoMessage() {}
func (*VideoContext) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{1}
}
func (m *VideoContext) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_VideoContext.Unmarshal(m, b)
}
func (m *VideoContext) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_VideoContext.Marshal(b, m, deterministic)
}
func (dst *VideoContext) XXX_Merge(src proto.Message) {
xxx_messageInfo_VideoContext.Merge(dst, src)
}
func (m *VideoContext) XXX_Size() int {
return xxx_messageInfo_VideoContext.Size(m)
}
func (m *VideoContext) XXX_DiscardUnknown() {
xxx_messageInfo_VideoContext.DiscardUnknown(m)
}
var xxx_messageInfo_VideoContext proto.InternalMessageInfo
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,proto3,enum=google.cloud.videointelligence.v1.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,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"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *LabelDetectionConfig) Reset() { *m = LabelDetectionConfig{} }
func (m *LabelDetectionConfig) String() string { return proto.CompactTextString(m) }
func (*LabelDetectionConfig) ProtoMessage() {}
func (*LabelDetectionConfig) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{2}
}
func (m *LabelDetectionConfig) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_LabelDetectionConfig.Unmarshal(m, b)
}
func (m *LabelDetectionConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_LabelDetectionConfig.Marshal(b, m, deterministic)
}
func (dst *LabelDetectionConfig) XXX_Merge(src proto.Message) {
xxx_messageInfo_LabelDetectionConfig.Merge(dst, src)
}
func (m *LabelDetectionConfig) XXX_Size() int {
return xxx_messageInfo_LabelDetectionConfig.Size(m)
}
func (m *LabelDetectionConfig) XXX_DiscardUnknown() {
xxx_messageInfo_LabelDetectionConfig.DiscardUnknown(m)
}
var xxx_messageInfo_LabelDetectionConfig proto.InternalMessageInfo
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,proto3" json:"model,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *ShotChangeDetectionConfig) Reset() { *m = ShotChangeDetectionConfig{} }
func (m *ShotChangeDetectionConfig) String() string { return proto.CompactTextString(m) }
func (*ShotChangeDetectionConfig) ProtoMessage() {}
func (*ShotChangeDetectionConfig) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{3}
}
func (m *ShotChangeDetectionConfig) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_ShotChangeDetectionConfig.Unmarshal(m, b)
}
func (m *ShotChangeDetectionConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_ShotChangeDetectionConfig.Marshal(b, m, deterministic)
}
func (dst *ShotChangeDetectionConfig) XXX_Merge(src proto.Message) {
xxx_messageInfo_ShotChangeDetectionConfig.Merge(dst, src)
}
func (m *ShotChangeDetectionConfig) XXX_Size() int {
return xxx_messageInfo_ShotChangeDetectionConfig.Size(m)
}
func (m *ShotChangeDetectionConfig) XXX_DiscardUnknown() {
xxx_messageInfo_ShotChangeDetectionConfig.DiscardUnknown(m)
}
var xxx_messageInfo_ShotChangeDetectionConfig proto.InternalMessageInfo
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,proto3" json:"model,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *ExplicitContentDetectionConfig) Reset() { *m = ExplicitContentDetectionConfig{} }
func (m *ExplicitContentDetectionConfig) String() string { return proto.CompactTextString(m) }
func (*ExplicitContentDetectionConfig) ProtoMessage() {}
func (*ExplicitContentDetectionConfig) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{4}
}
func (m *ExplicitContentDetectionConfig) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_ExplicitContentDetectionConfig.Unmarshal(m, b)
}
func (m *ExplicitContentDetectionConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_ExplicitContentDetectionConfig.Marshal(b, m, deterministic)
}
func (dst *ExplicitContentDetectionConfig) XXX_Merge(src proto.Message) {
xxx_messageInfo_ExplicitContentDetectionConfig.Merge(dst, src)
}
func (m *ExplicitContentDetectionConfig) XXX_Size() int {
return xxx_messageInfo_ExplicitContentDetectionConfig.Size(m)
}
func (m *ExplicitContentDetectionConfig) XXX_DiscardUnknown() {
xxx_messageInfo_ExplicitContentDetectionConfig.DiscardUnknown(m)
}
var xxx_messageInfo_ExplicitContentDetectionConfig proto.InternalMessageInfo
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,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"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *FaceDetectionConfig) Reset() { *m = FaceDetectionConfig{} }
func (m *FaceDetectionConfig) String() string { return proto.CompactTextString(m) }
func (*FaceDetectionConfig) ProtoMessage() {}
func (*FaceDetectionConfig) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{5}
}
func (m *FaceDetectionConfig) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_FaceDetectionConfig.Unmarshal(m, b)
}
func (m *FaceDetectionConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_FaceDetectionConfig.Marshal(b, m, deterministic)
}
func (dst *FaceDetectionConfig) XXX_Merge(src proto.Message) {
xxx_messageInfo_FaceDetectionConfig.Merge(dst, src)
}
func (m *FaceDetectionConfig) XXX_Size() int {
return xxx_messageInfo_FaceDetectionConfig.Size(m)
}
func (m *FaceDetectionConfig) XXX_DiscardUnknown() {
xxx_messageInfo_FaceDetectionConfig.DiscardUnknown(m)
}
var xxx_messageInfo_FaceDetectionConfig proto.InternalMessageInfo
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 *duration.Duration `protobuf:"bytes,1,opt,name=start_time_offset,json=startTimeOffset,proto3" json:"start_time_offset,omitempty"`
// Time-offset, relative to the beginning of the video,
// corresponding to the end of the segment (inclusive).
EndTimeOffset *duration.Duration `protobuf:"bytes,2,opt,name=end_time_offset,json=endTimeOffset,proto3" json:"end_time_offset,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *VideoSegment) Reset() { *m = VideoSegment{} }
func (m *VideoSegment) String() string { return proto.CompactTextString(m) }
func (*VideoSegment) ProtoMessage() {}
func (*VideoSegment) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{6}
}
func (m *VideoSegment) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_VideoSegment.Unmarshal(m, b)
}
func (m *VideoSegment) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_VideoSegment.Marshal(b, m, deterministic)
}
func (dst *VideoSegment) XXX_Merge(src proto.Message) {
xxx_messageInfo_VideoSegment.Merge(dst, src)
}
func (m *VideoSegment) XXX_Size() int {
return xxx_messageInfo_VideoSegment.Size(m)
}
func (m *VideoSegment) XXX_DiscardUnknown() {
xxx_messageInfo_VideoSegment.DiscardUnknown(m)
}
var xxx_messageInfo_VideoSegment proto.InternalMessageInfo
func (m *VideoSegment) GetStartTimeOffset() *duration.Duration {
if m != nil {
return m.StartTimeOffset
}
return nil
}
func (m *VideoSegment) GetEndTimeOffset() *duration.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,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:"-"`
}
func (m *LabelSegment) Reset() { *m = LabelSegment{} }
func (m *LabelSegment) String() string { return proto.CompactTextString(m) }
func (*LabelSegment) ProtoMessage() {}
func (*LabelSegment) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{7}
}
func (m *LabelSegment) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_LabelSegment.Unmarshal(m, b)
}
func (m *LabelSegment) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_LabelSegment.Marshal(b, m, deterministic)
}
func (dst *LabelSegment) XXX_Merge(src proto.Message) {
xxx_messageInfo_LabelSegment.Merge(dst, src)
}
func (m *LabelSegment) XXX_Size() int {
return xxx_messageInfo_LabelSegment.Size(m)
}
func (m *LabelSegment) XXX_DiscardUnknown() {
xxx_messageInfo_LabelSegment.DiscardUnknown(m)
}
var xxx_messageInfo_LabelSegment proto.InternalMessageInfo
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 *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:"-"`
}
func (m *LabelFrame) Reset() { *m = LabelFrame{} }
func (m *LabelFrame) String() string { return proto.CompactTextString(m) }
func (*LabelFrame) ProtoMessage() {}
func (*LabelFrame) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{8}
}
func (m *LabelFrame) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_LabelFrame.Unmarshal(m, b)
}
func (m *LabelFrame) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_LabelFrame.Marshal(b, m, deterministic)
}
func (dst *LabelFrame) XXX_Merge(src proto.Message) {
xxx_messageInfo_LabelFrame.Merge(dst, src)
}
func (m *LabelFrame) XXX_Size() int {
return xxx_messageInfo_LabelFrame.Size(m)
}
func (m *LabelFrame) XXX_DiscardUnknown() {
xxx_messageInfo_LabelFrame.DiscardUnknown(m)
}
var xxx_messageInfo_LabelFrame proto.InternalMessageInfo
func (m *LabelFrame) GetTimeOffset() *duration.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,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:"-"`
}
func (m *Entity) Reset() { *m = Entity{} }
func (m *Entity) String() string { return proto.CompactTextString(m) }
func (*Entity) ProtoMessage() {}
func (*Entity) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{9}
}
func (m *Entity) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Entity.Unmarshal(m, b)
}
func (m *Entity) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Entity.Marshal(b, m, deterministic)
}
func (dst *Entity) XXX_Merge(src proto.Message) {
xxx_messageInfo_Entity.Merge(dst, src)
}
func (m *Entity) XXX_Size() int {
return xxx_messageInfo_Entity.Size(m)
}
func (m *Entity) XXX_DiscardUnknown() {
xxx_messageInfo_Entity.DiscardUnknown(m)
}
var xxx_messageInfo_Entity proto.InternalMessageInfo
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,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:"-"`
}
func (m *LabelAnnotation) Reset() { *m = LabelAnnotation{} }
func (m *LabelAnnotation) String() string { return proto.CompactTextString(m) }
func (*LabelAnnotation) ProtoMessage() {}
func (*LabelAnnotation) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{10}
}
func (m *LabelAnnotation) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_LabelAnnotation.Unmarshal(m, b)
}
func (m *LabelAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_LabelAnnotation.Marshal(b, m, deterministic)
}
func (dst *LabelAnnotation) XXX_Merge(src proto.Message) {
xxx_messageInfo_LabelAnnotation.Merge(dst, src)
}
func (m *LabelAnnotation) XXX_Size() int {
return xxx_messageInfo_LabelAnnotation.Size(m)
}
func (m *LabelAnnotation) XXX_DiscardUnknown() {
xxx_messageInfo_LabelAnnotation.DiscardUnknown(m)
}
var xxx_messageInfo_LabelAnnotation proto.InternalMessageInfo
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 *duration.Duration `protobuf:"bytes,1,opt,name=time_offset,json=timeOffset,proto3" json:"time_offset,omitempty"`
// Likelihood of the pornography content..
PornographyLikelihood Likelihood `protobuf:"varint,2,opt,name=pornography_likelihood,json=pornographyLikelihood,proto3,enum=google.cloud.videointelligence.v1.Likelihood" json:"pornography_likelihood,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *ExplicitContentFrame) Reset() { *m = ExplicitContentFrame{} }
func (m *ExplicitContentFrame) String() string { return proto.CompactTextString(m) }
func (*ExplicitContentFrame) ProtoMessage() {}
func (*ExplicitContentFrame) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{11}
}
func (m *ExplicitContentFrame) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_ExplicitContentFrame.Unmarshal(m, b)
}
func (m *ExplicitContentFrame) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_ExplicitContentFrame.Marshal(b, m, deterministic)
}
func (dst *ExplicitContentFrame) XXX_Merge(src proto.Message) {
xxx_messageInfo_ExplicitContentFrame.Merge(dst, src)
}
func (m *ExplicitContentFrame) XXX_Size() int {
return xxx_messageInfo_ExplicitContentFrame.Size(m)
}
func (m *ExplicitContentFrame) XXX_DiscardUnknown() {
xxx_messageInfo_ExplicitContentFrame.DiscardUnknown(m)
}
var xxx_messageInfo_ExplicitContentFrame proto.InternalMessageInfo
func (m *ExplicitContentFrame) GetTimeOffset() *duration.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,proto3" json:"frames,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *ExplicitContentAnnotation) Reset() { *m = ExplicitContentAnnotation{} }
func (m *ExplicitContentAnnotation) String() string { return proto.CompactTextString(m) }
func (*ExplicitContentAnnotation) ProtoMessage() {}
func (*ExplicitContentAnnotation) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{12}
}
func (m *ExplicitContentAnnotation) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_ExplicitContentAnnotation.Unmarshal(m, b)
}
func (m *ExplicitContentAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_ExplicitContentAnnotation.Marshal(b, m, deterministic)
}
func (dst *ExplicitContentAnnotation) XXX_Merge(src proto.Message) {
xxx_messageInfo_ExplicitContentAnnotation.Merge(dst, src)
}
func (m *ExplicitContentAnnotation) XXX_Size() int {
return xxx_messageInfo_ExplicitContentAnnotation.Size(m)
}
func (m *ExplicitContentAnnotation) XXX_DiscardUnknown() {
xxx_messageInfo_ExplicitContentAnnotation.DiscardUnknown(m)
}
var xxx_messageInfo_ExplicitContentAnnotation proto.InternalMessageInfo
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,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:"-"`
}
func (m *NormalizedBoundingBox) Reset() { *m = NormalizedBoundingBox{} }
func (m *NormalizedBoundingBox) String() string { return proto.CompactTextString(m) }
func (*NormalizedBoundingBox) ProtoMessage() {}
func (*NormalizedBoundingBox) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{13}
}
func (m *NormalizedBoundingBox) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_NormalizedBoundingBox.Unmarshal(m, b)
}
func (m *NormalizedBoundingBox) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_NormalizedBoundingBox.Marshal(b, m, deterministic)
}
func (dst *NormalizedBoundingBox) XXX_Merge(src proto.Message) {
xxx_messageInfo_NormalizedBoundingBox.Merge(dst, src)
}
func (m *NormalizedBoundingBox) XXX_Size() int {
return xxx_messageInfo_NormalizedBoundingBox.Size(m)
}
func (m *NormalizedBoundingBox) XXX_DiscardUnknown() {
xxx_messageInfo_NormalizedBoundingBox.DiscardUnknown(m)
}
var xxx_messageInfo_NormalizedBoundingBox proto.InternalMessageInfo
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,proto3" json:"segment,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *FaceSegment) Reset() { *m = FaceSegment{} }
func (m *FaceSegment) String() string { return proto.CompactTextString(m) }
func (*FaceSegment) ProtoMessage() {}
func (*FaceSegment) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{14}
}
func (m *FaceSegment) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_FaceSegment.Unmarshal(m, b)
}
func (m *FaceSegment) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_FaceSegment.Marshal(b, m, deterministic)
}
func (dst *FaceSegment) XXX_Merge(src proto.Message) {
xxx_messageInfo_FaceSegment.Merge(dst, src)
}
func (m *FaceSegment) XXX_Size() int {
return xxx_messageInfo_FaceSegment.Size(m)
}
func (m *FaceSegment) XXX_DiscardUnknown() {
xxx_messageInfo_FaceSegment.DiscardUnknown(m)
}
var xxx_messageInfo_FaceSegment proto.InternalMessageInfo
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,proto3" json:"normalized_bounding_boxes,omitempty"`
// Time-offset, relative to the beginning of the video,
// corresponding to the video frame for this location.
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:"-"`
}
func (m *FaceFrame) Reset() { *m = FaceFrame{} }
func (m *FaceFrame) String() string { return proto.CompactTextString(m) }
func (*FaceFrame) ProtoMessage() {}
func (*FaceFrame) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{15}
}
func (m *FaceFrame) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_FaceFrame.Unmarshal(m, b)
}
func (m *FaceFrame) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_FaceFrame.Marshal(b, m, deterministic)
}
func (dst *FaceFrame) XXX_Merge(src proto.Message) {
xxx_messageInfo_FaceFrame.Merge(dst, src)
}
func (m *FaceFrame) XXX_Size() int {
return xxx_messageInfo_FaceFrame.Size(m)
}
func (m *FaceFrame) XXX_DiscardUnknown() {
xxx_messageInfo_FaceFrame.DiscardUnknown(m)
}
var xxx_messageInfo_FaceFrame proto.InternalMessageInfo
func (m *FaceFrame) GetNormalizedBoundingBoxes() []*NormalizedBoundingBox {
if m != nil {
return m.NormalizedBoundingBoxes
}
return nil
}
func (m *FaceFrame) GetTimeOffset() *duration.Duration {
if m != nil {
return m.TimeOffset
}
return nil
}
// Face annotation.
type FaceAnnotation struct {
// Thumbnail of a representative face view (in JPEG format).
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,proto3" json:"segments,omitempty"`
// All video frames where a face was detected.
Frames []*FaceFrame `protobuf:"bytes,3,rep,name=frames,proto3" json:"frames,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *FaceAnnotation) Reset() { *m = FaceAnnotation{} }
func (m *FaceAnnotation) String() string { return proto.CompactTextString(m) }
func (*FaceAnnotation) ProtoMessage() {}
func (*FaceAnnotation) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{16}
}
func (m *FaceAnnotation) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_FaceAnnotation.Unmarshal(m, b)
}
func (m *FaceAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_FaceAnnotation.Marshal(b, m, deterministic)
}
func (dst *FaceAnnotation) XXX_Merge(src proto.Message) {
xxx_messageInfo_FaceAnnotation.Merge(dst, src)
}
func (m *FaceAnnotation) XXX_Size() int {
return xxx_messageInfo_FaceAnnotation.Size(m)
}
func (m *FaceAnnotation) XXX_DiscardUnknown() {
xxx_messageInfo_FaceAnnotation.DiscardUnknown(m)
}
var xxx_messageInfo_FaceAnnotation proto.InternalMessageInfo
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,proto3" 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,proto3" 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,proto3" 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,proto3" 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,proto3" 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,proto3" json:"shot_annotations,omitempty"`
// Explicit content annotation.
ExplicitAnnotation *ExplicitContentAnnotation `protobuf:"bytes,7,opt,name=explicit_annotation,json=explicitAnnotation,proto3" json:"explicit_annotation,omitempty"`
// If set, indicates an error. Note that for a single `AnnotateVideoRequest`
// some videos may succeed and some may fail.
Error *status.Status `protobuf:"bytes,9,opt,name=error,proto3" json:"error,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *VideoAnnotationResults) Reset() { *m = VideoAnnotationResults{} }
func (m *VideoAnnotationResults) String() string { return proto.CompactTextString(m) }
func (*VideoAnnotationResults) ProtoMessage() {}
func (*VideoAnnotationResults) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{17}
}
func (m *VideoAnnotationResults) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_VideoAnnotationResults.Unmarshal(m, b)
}
func (m *VideoAnnotationResults) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_VideoAnnotationResults.Marshal(b, m, deterministic)
}
func (dst *VideoAnnotationResults) XXX_Merge(src proto.Message) {
xxx_messageInfo_VideoAnnotationResults.Merge(dst, src)
}
func (m *VideoAnnotationResults) XXX_Size() int {
return xxx_messageInfo_VideoAnnotationResults.Size(m)
}
func (m *VideoAnnotationResults) XXX_DiscardUnknown() {
xxx_messageInfo_VideoAnnotationResults.DiscardUnknown(m)
}
var xxx_messageInfo_VideoAnnotationResults proto.InternalMessageInfo
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() *status.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,proto3" json:"annotation_results,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *AnnotateVideoResponse) Reset() { *m = AnnotateVideoResponse{} }
func (m *AnnotateVideoResponse) String() string { return proto.CompactTextString(m) }
func (*AnnotateVideoResponse) ProtoMessage() {}
func (*AnnotateVideoResponse) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{18}
}
func (m *AnnotateVideoResponse) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_AnnotateVideoResponse.Unmarshal(m, b)
}
func (m *AnnotateVideoResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_AnnotateVideoResponse.Marshal(b, m, deterministic)
}
func (dst *AnnotateVideoResponse) XXX_Merge(src proto.Message) {
xxx_messageInfo_AnnotateVideoResponse.Merge(dst, src)
}
func (m *AnnotateVideoResponse) XXX_Size() int {
return xxx_messageInfo_AnnotateVideoResponse.Size(m)
}
func (m *AnnotateVideoResponse) XXX_DiscardUnknown() {
xxx_messageInfo_AnnotateVideoResponse.DiscardUnknown(m)
}
var xxx_messageInfo_AnnotateVideoResponse proto.InternalMessageInfo
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,proto3" 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,proto3" json:"progress_percent,omitempty"`
// Time when the request was received.
StartTime *timestamp.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
// Time of the most recent update.
UpdateTime *timestamp.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *VideoAnnotationProgress) Reset() { *m = VideoAnnotationProgress{} }
func (m *VideoAnnotationProgress) String() string { return proto.CompactTextString(m) }
func (*VideoAnnotationProgress) ProtoMessage() {}
func (*VideoAnnotationProgress) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{19}
}
func (m *VideoAnnotationProgress) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_VideoAnnotationProgress.Unmarshal(m, b)
}
func (m *VideoAnnotationProgress) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_VideoAnnotationProgress.Marshal(b, m, deterministic)
}
func (dst *VideoAnnotationProgress) XXX_Merge(src proto.Message) {
xxx_messageInfo_VideoAnnotationProgress.Merge(dst, src)
}
func (m *VideoAnnotationProgress) XXX_Size() int {
return xxx_messageInfo_VideoAnnotationProgress.Size(m)
}
func (m *VideoAnnotationProgress) XXX_DiscardUnknown() {
xxx_messageInfo_VideoAnnotationProgress.DiscardUnknown(m)
}
var xxx_messageInfo_VideoAnnotationProgress proto.InternalMessageInfo
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() *timestamp.Timestamp {
if m != nil {
return m.StartTime
}
return nil
}
func (m *VideoAnnotationProgress) GetUpdateTime() *timestamp.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,proto3" json:"annotation_progress,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *AnnotateVideoProgress) Reset() { *m = AnnotateVideoProgress{} }
func (m *AnnotateVideoProgress) String() string { return proto.CompactTextString(m) }
func (*AnnotateVideoProgress) ProtoMessage() {}
func (*AnnotateVideoProgress) Descriptor() ([]byte, []int) {
return fileDescriptor_video_intelligence_a20810d9dd100185, []int{20}
}
func (m *AnnotateVideoProgress) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_AnnotateVideoProgress.Unmarshal(m, b)
}
func (m *AnnotateVideoProgress) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_AnnotateVideoProgress.Marshal(b, m, deterministic)
}
func (dst *AnnotateVideoProgress) XXX_Merge(src proto.Message) {
xxx_messageInfo_AnnotateVideoProgress.Merge(dst, src)
}
func (m *AnnotateVideoProgress) XXX_Size() int {
return xxx_messageInfo_AnnotateVideoProgress.Size(m)
}
func (m *AnnotateVideoProgress) XXX_DiscardUnknown() {
xxx_messageInfo_AnnotateVideoProgress.DiscardUnknown(m)
}
var xxx_messageInfo_AnnotateVideoProgress proto.InternalMessageInfo
func (m *AnnotateVideoProgress) GetAnnotationProgress() []*VideoAnnotationProgress {
if m != nil {
return m.AnnotationProgress
}
return nil
}
func init() {
proto.RegisterType((*AnnotateVideoRequest)(nil), "google.cloud.videointelligence.v1.AnnotateVideoRequest")
proto.RegisterType((*VideoContext)(nil), "google.cloud.videointelligence.v1.VideoContext")
proto.RegisterType((*LabelDetectionConfig)(nil), "google.cloud.videointelligence.v1.LabelDetectionConfig")
proto.RegisterType((*ShotChangeDetectionConfig)(nil), "google.cloud.videointelligence.v1.ShotChangeDetectionConfig")
proto.RegisterType((*ExplicitContentDetectionConfig)(nil), "google.cloud.videointelligence.v1.ExplicitContentDetectionConfig")
proto.RegisterType((*FaceDetectionConfig)(nil), "google.cloud.videointelligence.v1.FaceDetectionConfig")
proto.RegisterType((*VideoSegment)(nil), "google.cloud.videointelligence.v1.VideoSegment")
proto.RegisterType((*LabelSegment)(nil), "google.cloud.videointelligence.v1.LabelSegment")
proto.RegisterType((*LabelFrame)(nil), "google.cloud.videointelligence.v1.LabelFrame")
proto.RegisterType((*Entity)(nil), "google.cloud.videointelligence.v1.Entity")
proto.RegisterType((*LabelAnnotation)(nil), "google.cloud.videointelligence.v1.LabelAnnotation")
proto.RegisterType((*ExplicitContentFrame)(nil), "google.cloud.videointelligence.v1.ExplicitContentFrame")
proto.RegisterType((*ExplicitContentAnnotation)(nil), "google.cloud.videointelligence.v1.ExplicitContentAnnotation")
proto.RegisterType((*NormalizedBoundingBox)(nil), "google.cloud.videointelligence.v1.NormalizedBoundingBox")
proto.RegisterType((*FaceSegment)(nil), "google.cloud.videointelligence.v1.FaceSegment")
proto.RegisterType((*FaceFrame)(nil), "google.cloud.videointelligence.v1.FaceFrame")
proto.RegisterType((*FaceAnnotation)(nil), "google.cloud.videointelligence.v1.FaceAnnotation")
proto.RegisterType((*VideoAnnotationResults)(nil), "google.cloud.videointelligence.v1.VideoAnnotationResults")
proto.RegisterType((*AnnotateVideoResponse)(nil), "google.cloud.videointelligence.v1.AnnotateVideoResponse")
proto.RegisterType((*VideoAnnotationProgress)(nil), "google.cloud.videointelligence.v1.VideoAnnotationProgress")
proto.RegisterType((*AnnotateVideoProgress)(nil), "google.cloud.videointelligence.v1.AnnotateVideoProgress")
proto.RegisterEnum("google.cloud.videointelligence.v1.Feature", Feature_name, Feature_value)
proto.RegisterEnum("google.cloud.videointelligence.v1.LabelDetectionMode", LabelDetectionMode_name, LabelDetectionMode_value)
proto.RegisterEnum("google.cloud.videointelligence.v1.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
// VideoIntelligenceServiceClient is the client API for VideoIntelligenceService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
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) (*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) (*longrunning.Operation, error) {
out := new(longrunning.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.videointelligence.v1.VideoIntelligenceService/AnnotateVideo", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// VideoIntelligenceServiceServer is the 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) (*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.v1.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.v1.VideoIntelligenceService",
HandlerType: (*VideoIntelligenceServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "AnnotateVideo",
Handler: _VideoIntelligenceService_AnnotateVideo_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/videointelligence/v1/video_intelligence.proto",
}
func init() {
proto.RegisterFile("google/cloud/videointelligence/v1/video_intelligence.proto", fileDescriptor_video_intelligence_a20810d9dd100185)
}
var fileDescriptor_video_intelligence_a20810d9dd100185 = []byte{
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