OpenCV  4.5.4-dev
Open Source Computer Vision
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cv::dnn::TextDetectionModel_EAST Class Reference

This class represents high-level API for text detection DL networks compatible with EAST model. More...

#include <opencv2/dnn/dnn.hpp>

Inheritance diagram for cv::dnn::TextDetectionModel_EAST:
cv::dnn::TextDetectionModel cv::dnn::Model

Public Member Functions

 TextDetectionModel_EAST ()
 
 TextDetectionModel_EAST (const Net &network)
 Create text detection algorithm from deep learning network. More...
 
 TextDetectionModel_EAST (const std::string &model, const std::string &config="")
 Create text detection model from network represented in one of the supported formats. An order of model and config arguments does not matter. More...
 
float getConfidenceThreshold () const
 Get the detection confidence threshold. More...
 
float getNMSThreshold () const
 Get the detection confidence threshold. More...
 
TextDetectionModel_EASTsetConfidenceThreshold (float confThreshold)
 Set the detection confidence threshold. More...
 
TextDetectionModel_EASTsetNMSThreshold (float nmsThreshold)
 Set the detection NMS filter threshold. More...
 
- Public Member Functions inherited from cv::dnn::TextDetectionModel
void detect (InputArray frame, std::vector< std::vector< Point > > &detections, std::vector< float > &confidences) const
 Performs detection. More...
 
void detect (InputArray frame, std::vector< std::vector< Point > > &detections) const
 
void detectTextRectangles (InputArray frame, std::vector< cv::RotatedRect > &detections, std::vector< float > &confidences) const
 Performs detection. More...
 
void detectTextRectangles (InputArray frame, std::vector< cv::RotatedRect > &detections) const
 
- Public Member Functions inherited from cv::dnn::Model
 Model ()
 
 Model (const Model &)=default
 
 Model (Model &&)=default
 
 Model (const String &model, const String &config="")
 Create model from deep learning network represented in one of the supported formats. An order of model and config arguments does not matter. More...
 
 Model (const Net &network)
 Create model from deep learning network. More...
 
Impl * getImpl () const
 
Impl & getImplRef () const
 
NetgetNetwork_ () const
 
NetgetNetwork_ ()
 
 operator Net & () const
 
Modeloperator= (const Model &)=default
 
Modeloperator= (Model &&)=default
 
void predict (InputArray frame, OutputArrayOfArrays outs) const
 Given the input frame, create input blob, run net and return the output blobs. More...
 
ModelsetInputCrop (bool crop)
 Set flag crop for frame. More...
 
ModelsetInputMean (const Scalar &mean)
 Set mean value for frame. More...
 
void setInputParams (double scale=1.0, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=false, bool crop=false)
 Set preprocessing parameters for frame. More...
 
ModelsetInputScale (double scale)
 Set scalefactor value for frame. More...
 
ModelsetInputSize (const Size &size)
 Set input size for frame. More...
 
ModelsetInputSize (int width, int height)
 
ModelsetInputSwapRB (bool swapRB)
 Set flag swapRB for frame. More...
 
ModelsetPreferableBackend (dnn::Backend backendId)
 
ModelsetPreferableTarget (dnn::Target targetId)
 

Additional Inherited Members

- Protected Member Functions inherited from cv::dnn::TextDetectionModel
 TextDetectionModel ()
 
- Protected Attributes inherited from cv::dnn::Model
Ptr< Impl > impl
 

Detailed Description

This class represents high-level API for text detection DL networks compatible with EAST model.

Configurable parameters:

Examples:
samples/dnn/text_detection.cpp.

Constructor & Destructor Documentation

◆ TextDetectionModel_EAST() [1/3]

cv::dnn::TextDetectionModel_EAST::TextDetectionModel_EAST ( )
Python:
cv.dnn_TextDetectionModel_EAST(network) -> <dnn_TextDetectionModel_EAST object>
cv.dnn_TextDetectionModel_EAST(model[, config]) -> <dnn_TextDetectionModel_EAST object>

◆ TextDetectionModel_EAST() [2/3]

cv::dnn::TextDetectionModel_EAST::TextDetectionModel_EAST ( const Net network)
Python:
cv.dnn_TextDetectionModel_EAST(network) -> <dnn_TextDetectionModel_EAST object>
cv.dnn_TextDetectionModel_EAST(model[, config]) -> <dnn_TextDetectionModel_EAST object>

Create text detection algorithm from deep learning network.

Parameters
[in]networkNet object

◆ TextDetectionModel_EAST() [3/3]

cv::dnn::TextDetectionModel_EAST::TextDetectionModel_EAST ( const std::string &  model,
const std::string &  config = "" 
)
inline
Python:
cv.dnn_TextDetectionModel_EAST(network) -> <dnn_TextDetectionModel_EAST object>
cv.dnn_TextDetectionModel_EAST(model[, config]) -> <dnn_TextDetectionModel_EAST object>

Create text detection model from network represented in one of the supported formats. An order of model and config arguments does not matter.

Parameters
[in]modelBinary file contains trained weights.
[in]configText file contains network configuration.

Member Function Documentation

◆ getConfidenceThreshold()

float cv::dnn::TextDetectionModel_EAST::getConfidenceThreshold ( ) const
Python:
cv.dnn_TextDetectionModel_EAST.getConfidenceThreshold() -> retval

Get the detection confidence threshold.

◆ getNMSThreshold()

float cv::dnn::TextDetectionModel_EAST::getNMSThreshold ( ) const
Python:
cv.dnn_TextDetectionModel_EAST.getNMSThreshold() -> retval

Get the detection confidence threshold.

◆ setConfidenceThreshold()

TextDetectionModel_EAST& cv::dnn::TextDetectionModel_EAST::setConfidenceThreshold ( float  confThreshold)
Python:
cv.dnn_TextDetectionModel_EAST.setConfidenceThreshold(confThreshold) -> retval

Set the detection confidence threshold.

Parameters
[in]confThresholdA threshold used to filter boxes by confidences

◆ setNMSThreshold()

TextDetectionModel_EAST& cv::dnn::TextDetectionModel_EAST::setNMSThreshold ( float  nmsThreshold)
Python:
cv.dnn_TextDetectionModel_EAST.setNMSThreshold(nmsThreshold) -> retval

Set the detection NMS filter threshold.

Parameters
[in]nmsThresholdA threshold used in non maximum suppression

The documentation for this class was generated from the following file: