Trait opencv::text::OCRHMMDecoderTrait

pub trait OCRHMMDecoderTrait: BaseOCR {
    pub fn as_raw_OCRHMMDecoder(&self) -> *const c_void;
    pub fn as_raw_mut_OCRHMMDecoder(&mut self) -> *mut c_void;

    pub fn run_multiple(
        &mut self, 
        image: &mut Mat, 
        output_text: &mut String, 
        component_rects: &mut Vector<Rect>, 
        component_texts: &mut Vector<String>, 
        component_confidences: &mut Vector<f32>, 
        component_level: i32
    ) -> Result<()> { ... }
    pub fn run_multiple_mask(
        &mut self, 
        image: &mut Mat, 
        mask: &mut Mat, 
        output_text: &mut String, 
        component_rects: &mut Vector<Rect>, 
        component_texts: &mut Vector<String>, 
        component_confidences: &mut Vector<f32>, 
        component_level: i32
    ) -> Result<()> { ... }
    pub fn run(
        &mut self, 
        image: &dyn ToInputArray, 
        min_confidence: i32, 
        component_level: i32
    ) -> Result<String> { ... }
    pub fn run_mask(
        &mut self, 
        image: &dyn ToInputArray, 
        mask: &dyn ToInputArray, 
        min_confidence: i32, 
        component_level: i32
    ) -> Result<String> { ... }
}

OCRHMMDecoder class provides an interface for OCR using Hidden Markov Models.

Note:

• (C++) An example on using OCRHMMDecoder recognition combined with scene text detection can be found at the webcam_demo sample: https://github.com/opencv/opencv_contrib/blob/master/modules/text/samples/webcam_demo.cpp

Required methods

pub fn as_raw_OCRHMMDecoder(&self) -> *const c_void

pub fn as_raw_mut_OCRHMMDecoder(&mut self) -> *mut c_void

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Provided methods

pub fn run_multiple(
    &mut self,
    image: &mut Mat,
    output_text: &mut String,
    component_rects: &mut Vector<Rect>,
    component_texts: &mut Vector<String>,
    component_confidences: &mut Vector<f32>,
    component_level: i32
) -> Result<()>

Recognize text using HMM.

Takes binary image on input and returns recognized text in the output_text parameter. Optionally provides also the Rects for individual text elements found (e.g. words), and the list of those text elements with their confidence values.

Parameters

• image: Input binary image CV_8UC1 with a single text line (or word).

• output_text: Output text. Most likely character sequence found by the HMM decoder.

• component_rects: If provided the method will output a list of Rects for the individual text elements found (e.g. words).

• component_texts: If provided the method will output a list of text strings for the recognition of individual text elements found (e.g. words).

• component_confidences: If provided the method will output a list of confidence values for the recognition of individual text elements found (e.g. words).

• component_level: Only OCR_LEVEL_WORD is supported.

C++ default parameters

• component_rects: NULL
• component_texts: NULL
• component_confidences: NULL
• component_level: 0

pub fn run_multiple_mask(
    &mut self,
    image: &mut Mat,
    mask: &mut Mat,
    output_text: &mut String,
    component_rects: &mut Vector<Rect>,
    component_texts: &mut Vector<String>,
    component_confidences: &mut Vector<f32>,
    component_level: i32
) -> Result<()>

Recognize text using HMM.

Takes an image and a mask (where each connected component corresponds to a segmented character) on input and returns recognized text in the output_text parameter. Optionally provides also the Rects for individual text elements found (e.g. words), and the list of those text elements with their confidence values.

Parameters

• image: Input image CV_8UC1 or CV_8UC3 with a single text line (or word).

• mask: Input binary image CV_8UC1 same size as input image. Each connected component in mask corresponds to a segmented character in the input image.

• output_text: Output text. Most likely character sequence found by the HMM decoder.

• component_rects: If provided the method will output a list of Rects for the individual text elements found (e.g. words).

• component_texts: If provided the method will output a list of text strings for the recognition of individual text elements found (e.g. words).

• component_confidences: If provided the method will output a list of confidence values for the recognition of individual text elements found (e.g. words).

• component_level: Only OCR_LEVEL_WORD is supported.

C++ default parameters

• component_rects: NULL
• component_texts: NULL
• component_confidences: NULL
• component_level: 0

pub fn run(
    &mut self,
    image: &dyn ToInputArray,
    min_confidence: i32,
    component_level: i32
) -> Result<String>

C++ default parameters

• component_level: 0

pub fn run_mask(
    &mut self,
    image: &dyn ToInputArray,
    mask: &dyn ToInputArray,
    min_confidence: i32,
    component_level: i32
) -> Result<String>

C++ default parameters

• component_level: 0

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Implementors

impl OCRHMMDecoderTrait for OCRHMMDecoder

pub fn as_raw_OCRHMMDecoder(&self) -> *const c_void

pub fn as_raw_mut_OCRHMMDecoder(&mut self) -> *mut c_void

impl OCRHMMDecoderTrait for PtrOfOCRHMMDecoder

pub fn as_raw_OCRHMMDecoder(&self) -> *const c_void

pub fn as_raw_mut_OCRHMMDecoder(&mut self) -> *mut c_void

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