(* /***************************************************************** // Delphi-OpenCV Demo // Copyright (C) 2013 Project Delphi-OpenCV // **************************************************************** // Contributor: // laentir Valetov // email:laex@bk.ru // **************************************************************** // You may retrieve the latest version of this file at the GitHub, // located at git://github.com/Laex/Delphi-OpenCV.git // **************************************************************** // The contents of this file are used with permission, subject to // the Mozilla Public License Version 1.1 (the "License"); you may // not use this file except in compliance with the License. You may // obtain a copy of the License at // http://www.mozilla.org/MPL/MPL-1_1Final.html // // Software distributed under the License is distributed on an // "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or // implied. See the License for the specific language governing // rights and limitations under the License. ******************************************************************* *) program latentsvmdetect; {$APPTYPE CONSOLE} {$POINTERMATH ON} {$R *.res} uses System.SysUtils, highgui_c, core_c, Core.types_c, imgproc_c, imgproc.types_c, objdetect_c, cvUtils; procedure help; begin Writeln('This program demonstrated the use of the latentSVM detector.'); Writeln('It reads in a trained object model and then uses that to detect the object in an image'); Writeln('Call:'); Writeln('latentsvmdetect [ []]'); Writeln(' The defaults for image_filename and model_filename are cat.jpg and cat.xml respectively'); Writeln(' Press any key to quit.'); end; var tbbNumThreads: Integer = -1; model_filename: AnsiString = 'resource\cat.xml'; image_filename: AnsiString = 'resource\cat.jpg'; procedure detect_and_draw_objects(image: pIplImage; detector: pCvLatentSvmDetector; numThreads: Integer = -1); Var storage: pCvMemStorage; detections: pCvSeq; i: Integer; start, finish: int64; detection: TCvObjectDetection; score: Single; bounding_box: TCvRect; begin storage := cvCreateMemStorage(0); detections := nil; i := 0; start := 0; finish := 0; start := cvGetTickCount(); detections := cvLatentSvmDetectObjects(image, detector, storage, 0.5, numThreads); finish := cvGetTickCount(); Writeln(Format('detection time = %.3f', [(finish - start) / (cvGetTickFrequency() * 1000000.0)])); for i := 0 to detections^.total - 1 do begin detection := pCvObjectDetection(cvGetSeqElem(detections, i))^; score := detection.score; bounding_box := detection.rect; cvRectangle(image, cvPoint(bounding_box.x, bounding_box.y), cvPoint(bounding_box.x + bounding_box.width, bounding_box.y + bounding_box.height), CV_RGB(cvRound(255.0 * score), 0, 0), 3); end; cvReleaseMemStorage(storage); end; Var detector: pCvLatentSvmDetector; image: pIplImage; begin try // Внимание! // Есть ошибка. Неправильная работа с памятью. // Attention! // There is an error. Improper handling of memory. help(); if ParamCount > 1 then begin image_filename := ParamStr(1); model_filename := ParamStr(2); if ParamCount > 2 then tbbNumThreads := StrToInt(ParamStr(3)); end; image := cvLoadImage(pCVChar(image_filename)); if not Assigned(image) then begin Writeln('Unable to load the image'); Writeln('Pass it as the first parameter: latentsvmdetect '); Halt; end; detector := cvLoadLatentSvmDetector(pCVChar(model_filename)); if not Assigned(detector) then begin Writeln('Unable to load the model'); Writeln('Pass it as the second parameter: latentsvmdetect '); cvReleaseImage(image); Halt; end; detect_and_draw_objects(image, detector, tbbNumThreads); cvNamedWindow('test', 0); cvShowImage('test', image); cvWaitKey(0); cvReleaseLatentSvmDetector(detector); cvReleaseImage(image); cvDestroyAllWindows; except on E: Exception do Writeln(E.ClassName, ': ', E.Message); end; end.