TextDetectorCNN

Objective-C

@interface TextDetectorCNN : TextDetector

Swift

class TextDetectorCNN : TextDetector

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 CITE: 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.

Member of Text

Methods


                    
                    
                    +create:modelWeightsFilename:

Declaration

Objective-C

+ (TextDetectorCNN*)create:(NSString*)modelArchFilename modelWeightsFilename:(NSString*)modelWeightsFilename NS_SWIFT_NAME(create(modelArchFilename:modelWeightsFilename:));

Swift

class func create(modelArchFilename: String, modelWeightsFilename: String) -> TextDetectorCNN


                    
                    
                    -detect:Bbox:confidence:

Declaration

Objective-C

- (void)detect:(nonnull Mat *)inputImage
          Bbox:(nonnull NSMutableArray<Rect2i *> *)Bbox
    confidence:(nonnull FloatVector *)confidence;

Swift

func detect(inputImage: Mat, Bbox: NSMutableArray, confidence: FloatVector)

Parameters

`inputImage`	an image expected to be a CV_U8C3 of any size
`Bbox`	a vector of Rect that will store the detected word bounding box
`confidence`	a vector of float that will be updated with the confidence the classifier has for the selected bounding box