Struct opencv::text::TextDetectorCNN

pub struct TextDetectorCNN { /* private fields */ }

TextDetectorCNN class provides the functionallity of text bounding box detection. This class is representing to find bounding boxes of text words given an input image. This class uses OpenCV dnn module to load pre-trained model described in LiaoSBWL17. The original repository with the modified SSD Caffe version: https://github.com/MhLiao/TextBoxes. Model can be downloaded from DropBox. Modified .prototxt file with the model description can be found in opencv_contrib/modules/text/samples/textbox.prototxt.

Implementations

impl TextDetectorCNN

pub fn create_with_sizes( model_arch_filename: &str, model_weights_filename: &str, detection_sizes: Vector<Size> ) -> Result<Ptr<TextDetectorCNN>>

Creates an instance of the TextDetectorCNN class using the provided parameters.

Parameters

• modelArchFilename: the relative or absolute path to the prototxt file describing the classifiers architecture.
• modelWeightsFilename: the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.
• detectionSizes: a list of sizes for multiscale detection. The values[(300,300),(700,500),(700,300),(700,700),(1600,1600)] are recommended in LiaoSBWL17 to achieve the best quality.

pub fn create( model_arch_filename: &str, model_weights_filename: &str ) -> Result<Ptr<TextDetectorCNN>>

Creates an instance of the TextDetectorCNN class using the provided parameters.

Parameters

• modelArchFilename: the relative or absolute path to the prototxt file describing the classifiers architecture.
• modelWeightsFilename: the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.
• detectionSizes: a list of sizes for multiscale detection. The values[(300,300),(700,500),(700,300),(700,700),(1600,1600)] are recommended in LiaoSBWL17 to achieve the best quality.

Overloaded parameters

Trait Implementations

impl Boxed for TextDetectorCNN

unsafe fn from_raw( ptr: <TextDetectorCNN as OpenCVFromExtern>::ExternReceive ) -> Self

Wrap the specified raw pointer

fn into_raw( self ) -> <TextDetectorCNN as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> <TextDetectorCNN as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer.

fn as_raw_mut( &mut self ) -> <TextDetectorCNN as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying mutable raw pointer

impl Debug for TextDetectorCNN

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

Formats the value using the given formatter.

impl Drop for TextDetectorCNN

fn drop(&mut self)

Executes the destructor for this type.

impl From<TextDetectorCNN> for TextDetector

fn from(s: TextDetectorCNN) -> Self

Converts to this type from the input type.

impl TextDetectorCNNTrait for TextDetectorCNN

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

fn detect( &mut self, input_image: &impl ToInputArray, bbox: &mut Vector<Rect>, confidence: &mut Vector<f32> ) -> Result<()>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

impl TextDetectorCNNTraitConst for TextDetectorCNN

fn as_raw_TextDetectorCNN(&self) -> *const c_void

impl TextDetectorTrait for TextDetectorCNN

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

fn detect( &mut self, input_image: &impl ToInputArray, bbox: &mut Vector<Rect>, confidence: &mut Vector<f32> ) -> Result<()>

Method that provides a quick and simple interface to detect text inside an image

impl TextDetectorTraitConst for TextDetectorCNN

fn as_raw_TextDetector(&self) -> *const c_void

impl TryFrom<TextDetector> for TextDetectorCNN

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: TextDetector) -> Result<Self>

Performs the conversion.

impl Send for TextDetectorCNN