Struct OcrEngine 

pub struct OcrEngine { /* private fields */ }

End-to-end OCR pipeline (ocrs-compatible API).

Implementations

impl OcrEngine

pub fn from_paths( detection: impl AsRef<Path>, recognition: impl AsRef<Path>, ) -> Result<OcrEngine, Error>

Build from explicit model paths (.safetensors for native RLX; .rten only with rten-inference).

pub fn from_paths_on_device( detection: impl AsRef<Path>, recognition: impl AsRef<Path>, device: Device, ) -> Result<OcrEngine, Error>

pub fn new(params: OcrEngineParams) -> Result<OcrEngine, Error>

pub fn from_model_dir(dir: impl AsRef<Path>) -> Result<OcrEngine, Error>

Load default HuggingFace checkpoint filenames from a model directory (CPU).

pub fn from_model_dir_on_device( dir: impl AsRef<Path>, device: Device, ) -> Result<OcrEngine, Error>

Load checkpoints from dir and compile graphs on device.

pub fn prepare_input(&self, source: ImageSource<'_>) -> Result<OcrInput, Error>

pub fn detection_threshold(&self) -> f32

pub fn detect_words(&self, input: &OcrInput) -> Result<Vec<RotatedRect>, Error>

pub fn detect_text_pixels( &self, input: &OcrInput, ) -> Result<TensorBase<Vec<f32>, NdLayout<2>>, Error>

pub fn find_text_lines( &self, _input: &OcrInput, words: &[RotatedRect], ) -> Vec<Vec<RotatedRect>>

pub fn prepare_recognition_input( &self, input: &OcrInput, line: &[RotatedRect], ) -> Result<TensorBase<Vec<f32>, NdLayout<2>>, Error>

pub fn recognize_text( &self, input: &OcrInput, lines: &[Vec<RotatedRect>], ) -> Result<Vec<Option<TextLine>>, Error>

pub fn get_text(&self, input: &OcrInput) -> Result<String, Error>

pub fn config(&self) -> OcrConfig