Detects text in the specified input image and returns the text values, confidences and bounding boxes.
Returns True on success (both input and model valid).
Parameter
Description
model
Model type. 0 = EAST, 1 = DB
image
Input image
confidences
Output array of confidences per text block detected
detections
Output array rotated rectangles per text block detected
Note: This method only detects the location of text. To "Recognize" the text, use OCR
// Detect all text blocks inside TImageEnView using DB_IC15_resnet18.onnx pretrained model var nnet: TIEVisionNNet; rrects: TIEVisionVectorRotatedRect; confidences: TIEVisionVectorDouble; i: integer; r: TIEVisionRect; begin OCR := IEVisionLib.createOCR(IEOCRLanguageList[OCR_English_language].Code); nnet := IEVisionLib.createNNet('models\DB\DB_IC15_resnet18.onnx'); nnet.setInputSize(1280, 736); nnet.setInputScale(1.0/255); nnet.detectTexts(1, ImageEnView1.IEBitmap.GetIEVisionImage(), confidences, rrects); for i := 0 to rrects.size() - 1 do begin r := IEVisionRect( rrects.getRect(i) ); // Note: With the East model in can be useful to inflate the text boxes to improve detection s := OCR.recognize( ImageEnView1.IEBitmap.GetIEVisionImage(), r ).c_str(); Memo1.Lines.Add( s ); end; end;