Trait opencv::hub_prelude::OCRHMMDecoderTrait  
source · pub trait OCRHMMDecoderTrait: BaseOCRTrait + OCRHMMDecoderTraitConst {
    // Required method
    fn as_raw_mut_OCRHMMDecoder(&mut self) -> *mut c_void;
    // Provided methods
    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<()> { ... }
    fn run_multiple_def(
        &mut self,
        image: &mut Mat,
        output_text: &mut String
    ) -> Result<()> { ... }
    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<()> { ... }
    fn run_multiple_mask_def(
        &mut self,
        image: &mut Mat,
        mask: &mut Mat,
        output_text: &mut String
    ) -> Result<()> { ... }
    fn run(
        &mut self,
        image: &impl ToInputArray,
        min_confidence: i32,
        component_level: i32
    ) -> Result<String> { ... }
    fn run_def(
        &mut self,
        image: &impl ToInputArray,
        min_confidence: i32
    ) -> Result<String> { ... }
    fn run_mask(
        &mut self,
        image: &impl ToInputArray,
        mask: &impl ToInputArray,
        min_confidence: i32,
        component_level: i32
    ) -> Result<String> { ... }
    fn run_mask_def(
        &mut self,
        image: &impl ToInputArray,
        mask: &impl ToInputArray,
        min_confidence: i32
    ) -> Result<String> { ... }
}Expand description
Mutable methods for crate::text::OCRHMMDecoder
Required Methods§
fn as_raw_mut_OCRHMMDecoder(&mut self) -> *mut c_void
Provided Methods§
sourcefn 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<()>
 
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
sourcefn run_multiple_def(
    &mut self,
    image: &mut Mat,
    output_text: &mut String
) -> Result<()>
 
fn run_multiple_def( &mut self, image: &mut Mat, output_text: &mut String ) -> 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. 
Note
This alternative version of OCRHMMDecoderTrait::run_multiple function uses the following default values for its arguments:
- component_rects: NULL
- component_texts: NULL
- component_confidences: NULL
- component_level: 0
sourcefn 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<()>
 
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
sourcefn run_multiple_mask_def(
    &mut self,
    image: &mut Mat,
    mask: &mut Mat,
    output_text: &mut String
) -> Result<()>
 
fn run_multiple_mask_def( &mut self, image: &mut Mat, mask: &mut Mat, output_text: &mut String ) -> 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. 
Note
This alternative version of OCRHMMDecoderTrait::run_multiple_mask function uses the following default values for its arguments:
- component_rects: NULL
- component_texts: NULL
- component_confidences: NULL
- component_level: 0
sourcefn run(
    &mut self,
    image: &impl ToInputArray,
    min_confidence: i32,
    component_level: i32
) -> Result<String>
 
fn run( &mut self, image: &impl ToInputArray, min_confidence: i32, component_level: i32 ) -> Result<String>
C++ default parameters
- component_level: 0
sourcefn run_def(
    &mut self,
    image: &impl ToInputArray,
    min_confidence: i32
) -> Result<String>
 
fn run_def( &mut self, image: &impl ToInputArray, min_confidence: i32 ) -> Result<String>
Note
This alternative version of OCRHMMDecoderTrait::run function uses the following default values for its arguments:
- component_level: 0
sourcefn run_mask(
    &mut self,
    image: &impl ToInputArray,
    mask: &impl ToInputArray,
    min_confidence: i32,
    component_level: i32
) -> Result<String>
 
fn run_mask( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32, component_level: i32 ) -> Result<String>
C++ default parameters
- component_level: 0
sourcefn run_mask_def(
    &mut self,
    image: &impl ToInputArray,
    mask: &impl ToInputArray,
    min_confidence: i32
) -> Result<String>
 
fn run_mask_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32 ) -> Result<String>
Note
This alternative version of OCRHMMDecoderTrait::run_mask function uses the following default values for its arguments:
- component_level: 0