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

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

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

var File_google_cloud_videointelligence_v1beta2_video_intelligence_proto protoreflect.FileDescriptor

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"`
    // contains filtered or unexported fields
}

type AnnotateVideoRequest struct {

    // Input video location. Currently, only
    // [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
    // supported, which must be specified in the following format:
    // `gs://bucket-id/object-id` (other URI formats return
    // [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For
    // more information, see [Request URIs](https://cloud.google.com/storage/docs/request-endpoints). A video
    // URI may include wildcards in `object-id`, and thus identify multiple
    // videos. Supported wildcards: '*' to match 0 or more characters;
    // '?' to match 1 character. If unset, the input video should be embedded
    // in the request as `input_content`. If set, `input_content` should be unset.
    InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri,proto3" json:"input_uri,omitempty"`
    // The video data bytes.
    // If unset, the input video(s) should be specified via `input_uri`.
    // If set, `input_uri` should be unset.
    InputContent []byte `protobuf:"bytes,6,opt,name=input_content,json=inputContent,proto3" json:"input_content,omitempty"`
    // Required. Requested video annotation features.
    Features []Feature `protobuf:"varint,2,rep,packed,name=features,proto3,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,proto3" json:"video_context,omitempty"`
    // Optional. Location where the output (in JSON format) should be stored.
    // Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
    // URIs are supported, which must be specified in the following format:
    // `gs://bucket-id/object-id` (other URI formats return
    // [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For
    // more information, see [Request URIs](https://cloud.google.com/storage/docs/request-endpoints).
    OutputUri string `protobuf:"bytes,4,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
    // Optional. Cloud region where annotation should take place. Supported cloud
    // regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
    // is specified, a region will be determined based on video file location.
    LocationId string `protobuf:"bytes,5,opt,name=location_id,json=locationId,proto3" json:"location_id,omitempty"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

type ExplicitContentAnnotation struct {

    // All video frames where explicit content was detected.
    Frames []*ExplicitContentFrame `protobuf:"bytes,1,rep,name=frames,proto3" json:"frames,omitempty"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

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.v1beta2.Likelihood" json:"pornography_likelihood,omitempty"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

type FaceSegment struct {

    // Video segment where a face was detected.
    Segment *VideoSegment `protobuf:"bytes,1,opt,name=segment,proto3" json:"segment,omitempty"`
    // contains filtered or unexported fields
}

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
)

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"`
    // contains filtered or unexported fields
}

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.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,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"`
    // contains filtered or unexported fields
}

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
)

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"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

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
)

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"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

type UnimplementedVideoIntelligenceServiceServer struct {
}

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"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

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"`
    // contains filtered or unexported fields
}

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 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)
}

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"`
    // contains filtered or unexported fields
}