Struct DetModel 

pub struct DetModel { /* private fields */ }

Text detection model

Implementations

impl DetModel

pub fn from_file( model_path: impl AsRef<Path>, config: Option<InferenceConfig>, ) -> OcrResult<Self>

Create detector from model file

Parameters

• model_path: Model file path (.mnn format)
• config: Optional inference config

pub fn from_bytes( model_bytes: &[u8], config: Option<InferenceConfig>, ) -> OcrResult<Self>

Create detector from model bytes

pub fn with_options(self, options: DetOptions) -> Self

Set detection options

pub fn options(&self) -> &DetOptions

Get current detection options

pub fn options_mut(&mut self) -> &mut DetOptions

Modify detection options

pub fn detect(&self, image: &DynamicImage) -> OcrResult<Vec<TextBox>>

Detect text regions in image

Parameters

• image: Input image

Returns

List of detected text bounding boxes

pub fn detect_and_crop( &self, image: &DynamicImage, ) -> OcrResult<Vec<(DynamicImage, TextBox)>>

Detect and return cropped text images

Parameters

• image: Input image

Returns

List of (text image, corresponding bounding box)

impl DetModel

Low-level detection API

pub fn run_raw(&self, input: ArrayViewD<'_, f32>) -> OcrResult<ArrayD<f32>>

Raw inference interface

Execute model inference directly without preprocessing and postprocessing

Parameters

• input: Preprocessed input tensor [1, 3, H, W]

Returns

Model raw output

pub fn input_shape(&self) -> &[usize]

Get model input shape

pub fn output_shape(&self) -> &[usize]

Get model output shape