Struct LabelDetectionConfig 

#[non_exhaustive]
pub struct LabelDetectionConfig {
    pub label_detection_mode: LabelDetectionMode,
    pub stationary_camera: bool,
    pub model: String,
    pub frame_confidence_threshold: f32,
    pub video_confidence_threshold: f32,
    /* private fields */
}

Config for LABEL_DETECTION.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

label_detection_mode: LabelDetectionMode

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

stationary_camera: bool

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.

model: String

Model to use for label detection. Supported values: “builtin/stable” (the default if unset) and “builtin/latest”.

frame_confidence_threshold: f32

The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

video_confidence_threshold: f32

The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it’s set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

Implementations

impl LabelDetectionConfig

pub fn new() -> Self

Creates a new default instance.

pub fn set_label_detection_mode<T: Into<LabelDetectionMode>>(self, v: T) -> Self

Sets the value of label_detection_mode.

Example

use google_cloud_videointelligence_v1::model::LabelDetectionMode;
let x0 = LabelDetectionConfig::new().set_label_detection_mode(LabelDetectionMode::ShotMode);
let x1 = LabelDetectionConfig::new().set_label_detection_mode(LabelDetectionMode::FrameMode);
let x2 = LabelDetectionConfig::new().set_label_detection_mode(LabelDetectionMode::ShotAndFrameMode);

pub fn set_stationary_camera<T: Into<bool>>(self, v: T) -> Self

Sets the value of stationary_camera.

Example

let x = LabelDetectionConfig::new().set_stationary_camera(true);

pub fn set_model<T: Into<String>>(self, v: T) -> Self

Sets the value of model.

Example

let x = LabelDetectionConfig::new().set_model("example");

pub fn set_frame_confidence_threshold<T: Into<f32>>(self, v: T) -> Self

Sets the value of frame_confidence_threshold.

Example

let x = LabelDetectionConfig::new().set_frame_confidence_threshold(42.0);

pub fn set_video_confidence_threshold<T: Into<f32>>(self, v: T) -> Self

Sets the value of video_confidence_threshold.

Example

let x = LabelDetectionConfig::new().set_video_confidence_threshold(42.0);

Trait Implementations

impl Clone for LabelDetectionConfig

fn clone(&self) -> LabelDetectionConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LabelDetectionConfig

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

Formats the value using the given formatter.

impl Default for LabelDetectionConfig

fn default() -> LabelDetectionConfig

Returns the “default value” for a type.

impl Message for LabelDetectionConfig

fn typename() -> &'static str

The typename of this message.

impl PartialEq for LabelDetectionConfig

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for LabelDetectionConfig