Trait opencv::prelude::TextRecognitionModelTraitConst

pub trait TextRecognitionModelTraitConst: ModelTraitConst {
    fn as_raw_TextRecognitionModel(&self) -> *const c_void;

    fn get_decode_type(&self) -> Result<String> { ... }
    fn get_vocabulary(&self) -> Result<Vector<String>> { ... }
    fn recognize(&self, frame: &dyn ToInputArray) -> Result<String> { ... }
    fn recognize_1(
        &self,
        frame: &dyn ToInputArray,
        roi_rects: &dyn ToInputArray,
        results: &mut Vector<String>
    ) -> Result<()> { ... }
}

This class represents high-level API for text recognition networks.

TextRecognitionModel allows to set params for preprocessing input image. TextRecognitionModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and return recognition result. For TextRecognitionModel, CRNN-CTC is supported.

Required Methods

fn as_raw_TextRecognitionModel(&self) -> *const c_void

Provided Methods

fn get_decode_type(&self) -> Result<String>

Get the decoding method

Returns

the decoding method

fn get_vocabulary(&self) -> Result<Vector<String>>

Get the vocabulary for recognition.

Returns

vocabulary the associated vocabulary

fn recognize(&self, frame: &dyn ToInputArray) -> Result<String>

Given the @p input frame, create input blob, run net and return recognition result

Parameters

• frame: The input image

Returns

The text recognition result

fn recognize_1(
    &self,
    frame: &dyn ToInputArray,
    roi_rects: &dyn ToInputArray,
    results: &mut Vector<String>
) -> Result<()>

Given the @p input frame, create input blob, run net and return recognition result

Parameters

• frame: The input image
• roiRects: List of text detection regions of interest (cv::Rect, CV_32SC4). ROIs is be cropped as the network inputs
• results:[out] A set of text recognition results.

Implementors

impl TextRecognitionModelTraitConst for TextRecognitionModel