[−][src]Trait opencv::prelude::OCRBeamSearchDecoderTrait
OCRBeamSearchDecoder class provides an interface for OCR using Beam Search algorithm.
Note:
- (C++) An example on using OCRBeamSearchDecoder recognition combined with scene text detection can be found at the demo sample: https://github.com/opencv/opencv_contrib/blob/master/modules/text/samples/word_recognition.cpp
Required methods
pub fn as_raw_OCRBeamSearchDecoder(&self) -> *const c_void
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pub fn as_raw_mut_OCRBeamSearchDecoder(&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<()>
[src]
&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 Beam Search.
Takes 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<()>
[src]
&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<()>
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>
[src]
&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>
[src]
&mut self,
image: &dyn ToInputArray,
mask: &dyn ToInputArray,
min_confidence: i32,
component_level: i32
) -> Result<String>
C++ default parameters
- component_level: 0