Struct google_api_proto::google::cloud::aiplatform::v1beta1::schema::predict::prediction::VideoClassificationPredictionResult

pub struct VideoClassificationPredictionResult {
    pub id: String,
    pub display_name: String,
    pub type: String,
    pub time_segment_start: Option<Duration>,
    pub time_segment_end: Option<Duration>,
    pub confidence: Option<f32>,
}

Prediction output format for Video Classification.

Fields

id: String

The resource ID of the AnnotationSpec that had been identified.

display_name: String

The display name of the AnnotationSpec that had been identified.

type: String

The type of the prediction. The requested types can be configured via parameters. This will be one of

• segment-classification
• shot-classification
• one-sec-interval-classification

time_segment_start: Option<Duration>

The beginning, inclusive, of the video’s time segment in which the AnnotationSpec has been identified. Expressed as a number of seconds as measured from the start of the video, with fractions up to a microsecond precision, and with “s” appended at the end. Note that for ‘segment-classification’ prediction type, this equals the original ‘timeSegmentStart’ from the input instance, for other types it is the start of a shot or a 1 second interval respectively.

time_segment_end: Option<Duration>

The end, exclusive, of the video’s time segment in which the AnnotationSpec has been identified. Expressed as a number of seconds as measured from the start of the video, with fractions up to a microsecond precision, and with “s” appended at the end. Note that for ‘segment-classification’ prediction type, this equals the original ‘timeSegmentEnd’ from the input instance, for other types it is the end of a shot or a 1 second interval respectively.

confidence: Option<f32>

The Model’s confidence in correction of this prediction, higher value means higher confidence.

Trait Implementations

impl Clone for VideoClassificationPredictionResult

fn clone(&self) -> VideoClassificationPredictionResult

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for VideoClassificationPredictionResult

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

Formats the value using the given formatter.

impl Default for VideoClassificationPredictionResult

fn default() -> Self

Returns the “default value” for a type.

impl Message for VideoClassificationPredictionResult

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(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where 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( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where 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(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

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

where Self: Default,

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

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

where Self: Sized,

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

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

where Self: Sized,

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

impl PartialEq for VideoClassificationPredictionResult

fn eq(&self, other: &VideoClassificationPredictionResult) -> 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 VideoClassificationPredictionResult