Struct NeuralNetworkClassify 

pub struct NeuralNetworkClassify {
    pub model: String,
    pub expected: Vec<i32>,
    pub roi: Target,
    pub roi_offset: Rect,
    pub labels: Vec<String>,
    pub order_by: String,
    pub index: i32,
}

Neural network classification - classifies fixed regions.

Uses ONNX model to classify images at fixed positions.

Fields

model: String

Model file path relative to model/classify. Required.

expected: Vec<i32>

Expected class indices to match. Default: match all.

roi: Target

Recognition region. Default: \[0,0,0,0\] (full screen).

roi_offset: Rect

Offset applied to the ROI.

labels: Vec<String>

Class labels for debugging. Default: “Unknown”.

order_by: String

Result sorting method. Default: “Horizontal”.

index: i32

Which result to select. Default: 0.

Trait Implementations

impl Clone for NeuralNetworkClassify

fn clone(&self) -> NeuralNetworkClassify

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NeuralNetworkClassify

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for NeuralNetworkClassify

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for NeuralNetworkClassify

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.