Struct google_api_proto::google::cloud::videointelligence::v1p3beta1::VideoAnnotationResults

pub struct VideoAnnotationResults {

    pub input_uri: String,
    pub segment: Option<VideoSegment>,
    pub segment_label_annotations: Vec<LabelAnnotation>,
    pub segment_presence_label_annotations: Vec<LabelAnnotation>,
    pub shot_label_annotations: Vec<LabelAnnotation>,
    pub shot_presence_label_annotations: Vec<LabelAnnotation>,
    pub frame_label_annotations: Vec<LabelAnnotation>,
    pub face_detection_annotations: Vec<FaceDetectionAnnotation>,
    pub shot_annotations: Vec<VideoSegment>,
    pub explicit_annotation: Option<ExplicitContentAnnotation>,
    pub speech_transcriptions: Vec<SpeechTranscription>,
    pub text_annotations: Vec<TextAnnotation>,
    pub object_annotations: Vec<ObjectTrackingAnnotation>,
    pub logo_recognition_annotations: Vec<LogoRecognitionAnnotation>,
    pub person_detection_annotations: Vec<PersonDetectionAnnotation>,
    pub celebrity_recognition_annotations: Option<CelebrityRecognitionAnnotation>,
    pub error: Option<Status>,
}

Annotation results for a single video.

Fields

input_uri: String

Video file location in Cloud Storage.

segment: Option<VideoSegment>

Video segment on which the annotation is run.

segment_label_annotations: Vec<LabelAnnotation>

Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.

segment_presence_label_annotations: Vec<LabelAnnotation>

Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical segment_label_annotations, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets LabelDetectionConfig.model to “builtin/latest” in the request.

shot_label_annotations: Vec<LabelAnnotation>

Topical label annotations on shot level. There is exactly one element for each unique label.

shot_presence_label_annotations: Vec<LabelAnnotation>

Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical shot_label_annotations, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets LabelDetectionConfig.model to “builtin/latest” in the request.

frame_label_annotations: Vec<LabelAnnotation>

Label annotations on frame level. There is exactly one element for each unique label.

face_detection_annotations: Vec<FaceDetectionAnnotation>

Face detection annotations.

shot_annotations: Vec<VideoSegment>

Shot annotations. Each shot is represented as a video segment.

explicit_annotation: Option<ExplicitContentAnnotation>

Explicit content annotation.

speech_transcriptions: Vec<SpeechTranscription>

Speech transcription.

text_annotations: Vec<TextAnnotation>

OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.

object_annotations: Vec<ObjectTrackingAnnotation>

Annotations for list of objects detected and tracked in video.

logo_recognition_annotations: Vec<LogoRecognitionAnnotation>

Annotations for list of logos detected, tracked and recognized in video.

person_detection_annotations: Vec<PersonDetectionAnnotation>

Person detection annotations.

celebrity_recognition_annotations: Option<CelebrityRecognitionAnnotation>

Celebrity recognition annotations.

error: Option<Status>

If set, indicates an error. Note that for a single AnnotateVideoRequest some videos may succeed and some may fail.

Trait Implementations

impl Clone for VideoAnnotationResults

fn clone(&self) -> VideoAnnotationResults

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for VideoAnnotationResults

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for VideoAnnotationResults

fn default() -> Self

Returns the “default value” for a type.

impl Message for VideoAnnotationResults

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for VideoAnnotationResults

fn eq(&self, other: &VideoAnnotationResults) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for VideoAnnotationResults