pub struct TextRecognitionModel { /* private fields */ }
Expand description

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.

Implementations§

source§

impl TextRecognitionModel

source

pub fn default() -> Result<TextRecognitionModel>

source

pub fn new(network: &Net) -> Result<TextRecognitionModel>

Create Text Recognition model from deep learning network Call setDecodeType() and setVocabulary() after constructor to initialize the decoding method

Parameters
  • network: Net object
source

pub fn from_file(model: &str, config: &str) -> Result<TextRecognitionModel>

Create text recognition model from network represented in one of the supported formats Call setDecodeType() and setVocabulary() after constructor to initialize the decoding method

Parameters
  • model: Binary file contains trained weights
  • config: Text file contains network configuration
C++ default parameters
  • config: “”
source

pub fn from_file_def(model: &str) -> Result<TextRecognitionModel>

Create text recognition model from network represented in one of the supported formats Call setDecodeType() and setVocabulary() after constructor to initialize the decoding method

Parameters
  • model: Binary file contains trained weights
  • config: Text file contains network configuration
Note

This alternative version of [from_file] function uses the following default values for its arguments:

  • config: “”

Trait Implementations§

source§

impl Boxed for TextRecognitionModel

source§

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer Read more
source§

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper. Read more
source§

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer. Read more
source§

fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer Read more
source§

impl Clone for TextRecognitionModel

source§

fn clone(&self) -> Self

Returns a copy of the value. Read more
1.0.0 · source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
source§

impl Debug for TextRecognitionModel

source§

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
source§

impl Drop for TextRecognitionModel

source§

fn drop(&mut self)

Executes the destructor for this type. Read more
source§

impl From<TextRecognitionModel> for Model

source§

fn from(s: TextRecognitionModel) -> Self

Converts to this type from the input type.
source§

impl ModelTrait for TextRecognitionModel

source§

fn as_raw_mut_Model(&mut self) -> *mut c_void

source§

fn set(&mut self, unnamed: &Model)

source§

fn set_1(&mut self, unnamed: Model)

source§

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame. Read more
source§

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame. Read more
source§

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame. Read more
source§

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame. Read more
source§

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame. Read more
source§

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame. Read more
source§

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool ) -> Result<()>

Set preprocessing parameters for frame. Read more
source§

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame. Read more
source§

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also Read more
source§

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also Read more
source§

fn get_network__1(&mut self) -> Result<Net>

source§

impl ModelTraitConst for TextRecognitionModel

source§

fn as_raw_Model(&self) -> *const c_void

source§

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs. Read more
source§

fn get_network_(&self) -> Result<Net>

source§

impl TextRecognitionModelTrait for TextRecognitionModel

source§

fn as_raw_mut_TextRecognitionModel(&mut self) -> *mut c_void

source§

fn set_decode_type(&mut self, decode_type: &str) -> Result<TextRecognitionModel>

Set the decoding method of translating the network output into string Read more
Set the decoding method options for "CTC-prefix-beam-search" decode usage Read more
source§

fn set_decode_opts_ctc_prefix_beam_search_def( &mut self, beam_size: i32 ) -> Result<TextRecognitionModel>

Set the decoding method options for "CTC-prefix-beam-search" decode usage Read more
source§

fn set_vocabulary( &mut self, vocabulary: &Vector<String> ) -> Result<TextRecognitionModel>

Set the vocabulary for recognition. Read more
source§

impl TextRecognitionModelTraitConst for TextRecognitionModel

source§

fn as_raw_TextRecognitionModel(&self) -> *const c_void

source§

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

Get the decoding method Read more
source§

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

Get the vocabulary for recognition. Read more
source§

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

Given the @p input frame, create input blob, run net and return recognition result Read more
source§

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

Given the @p input frame, create input blob, run net and return recognition result Read more
source§

impl Send for TextRecognitionModel

Auto Trait Implementations§

Blanket Implementations§

source§

impl<T> Any for T
where T: 'static + ?Sized,

source§

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
source§

impl<T> Borrow<T> for T
where T: ?Sized,

source§

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
source§

impl<T> BorrowMut<T> for T
where T: ?Sized,

source§

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
source§

impl<T> From<T> for T

source§

fn from(t: T) -> T

Returns the argument unchanged.

source§

impl<T, U> Into<U> for T
where U: From<T>,

source§

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

source§

impl<T> ToOwned for T
where T: Clone,

§

type Owned = T

The resulting type after obtaining ownership.
source§

fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
source§

fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
source§

impl<T, U> TryFrom<U> for T
where U: Into<T>,

§

type Error = Infallible

The type returned in the event of a conversion error.
source§

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
source§

impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

§

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
source§

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.