Struct ModelInputSpec 

pub struct ModelInputSpec {
    pub image_size: (usize, usize),
    pub channels: usize,
    pub normalization: NormalizationSpec,
    pub preprocessing: Vec<String>,
    pub tensor_format: TensorFormat,
    pub data_type: ModelDataType,
    pub value_range: (f32, f32),
}

Model input specification for computer vision models

Fields

image_size: (usize, usize)

Expected input image size (width, height)

channels: usize

Number of input channels

normalization: NormalizationSpec

Normalization parameters

preprocessing: Vec<String>

Required preprocessing steps

tensor_format: TensorFormat

Input tensor format (NCHW, NHWC, etc.)

data_type: ModelDataType

Data type requirements

value_range: (f32, f32)

Input value range

Implementations

impl ModelInputSpec

pub fn classification(image_size: (usize, usize)) -> Self

Create specification for classification models

pub fn object_detection(image_size: (usize, usize)) -> Self

Create specification for object detection models

pub fn segmentation(image_size: (usize, usize)) -> Self

Create specification for segmentation models

pub fn validate(&self) -> Result<(), ModelError>

Validate input specification

pub fn memory_requirements(&self, batch_size: usize) -> usize

Calculate memory requirements for input

Trait Implementations

impl Clone for ModelInputSpec

fn clone(&self) -> ModelInputSpec

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelInputSpec

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

Formats the value using the given formatter.

impl Default for ModelInputSpec

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ModelInputSpec

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ModelInputSpec

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

where __S: Serializer,

Serialize this value into the given Serde serializer.