mirror of
https://github.com/Laex/Delphi-OpenCV.git
synced 2024-11-16 16:25:53 +01:00
131 lines
4.2 KiB
ObjectPascal
131 lines
4.2 KiB
ObjectPascal
(* /*****************************************************************
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// Delphi-OpenCV Demo
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// Copyright (C) 2013 Project Delphi-OpenCV
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// ****************************************************************
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// Contributor:
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// laentir Valetov
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// email:laex@bk.ru
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// ****************************************************************
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// You may retrieve the latest version of this file at the GitHub,
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// located at git://github.com/Laex/Delphi-OpenCV.git
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// ****************************************************************
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// The contents of this file are used with permission, subject to
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// the Mozilla Public License Version 1.1 (the "License"); you may
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// not use this file except in compliance with the License. You may
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// obtain a copy of the License at
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// http://www.mozilla.org/MPL/MPL-1_1Final.html
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//
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// Software distributed under the License is distributed on an
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// "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or
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// implied. See the License for the specific language governing
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// rights and limitations under the License.
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******************************************************************* *)
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program latentsvmdetect;
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{$APPTYPE CONSOLE}
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{$POINTERMATH ON}
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{$R *.res}
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uses
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System.SysUtils,
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highgui_c,
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core_c,
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Core.types_c,
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imgproc_c,
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imgproc.types_c,
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objdetect_c,
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cvUtils;
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procedure help;
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begin
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Writeln('This program demonstrated the use of the latentSVM detector.');
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Writeln('It reads in a trained object model and then uses that to detect the object in an image');
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Writeln('Call:');
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Writeln('latentsvmdetect [<image_filename> <model_filename> [<threads_number>]]');
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Writeln(' The defaults for image_filename and model_filename are cat.jpg and cat.xml respectively');
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Writeln(' Press any key to quit.');
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end;
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var
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tbbNumThreads: Integer = -1;
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model_filename: AnsiString = 'resource\cat.xml';
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image_filename: AnsiString = 'resource\cat.jpg';
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procedure detect_and_draw_objects(image: pIplImage; detector: pCvLatentSvmDetector; numThreads: Integer = -1);
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Var
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storage: pCvMemStorage;
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detections: pCvSeq;
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i: Integer;
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start, finish: int64;
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detection: TCvObjectDetection;
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score: Single;
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bounding_box: TCvRect;
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begin
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storage := cvCreateMemStorage(0);
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detections := nil;
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i := 0;
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start := 0;
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finish := 0;
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start := cvGetTickCount();
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detections := cvLatentSvmDetectObjects(image, detector, storage, 0.5, numThreads);
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finish := cvGetTickCount();
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Writeln(Format('detection time = %.3f', [(finish - start) / (cvGetTickFrequency() * 1000000.0)]));
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for i := 0 to detections^.total - 1 do
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begin
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detection := pCvObjectDetection(cvGetSeqElem(detections, i))^;
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score := detection.score;
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bounding_box := detection.rect;
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cvRectangle(image, cvPoint(bounding_box.x, bounding_box.y), cvPoint(bounding_box.x + bounding_box.width,
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bounding_box.y + bounding_box.height), CV_RGB(cvRound(255.0 * score), 0, 0), 3);
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end;
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cvReleaseMemStorage(storage);
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end;
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Var
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detector: pCvLatentSvmDetector;
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image: pIplImage;
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begin
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try
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// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>!
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// <20><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.
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// Attention!
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// There is an error. Improper handling of memory.
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help();
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if ParamCount > 1 then
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begin
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image_filename := ParamStr(1);
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model_filename := ParamStr(2);
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if ParamCount > 2 then
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tbbNumThreads := StrToInt(ParamStr(3));
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end;
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image := cvLoadImage(pCVChar(image_filename));
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if not Assigned(image) then
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begin
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Writeln('Unable to load the image');
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Writeln('Pass it as the first parameter: latentsvmdetect <path to cat.jpg> <path to cat.xml>');
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Halt;
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end;
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detector := cvLoadLatentSvmDetector(pCVChar(model_filename));
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if not Assigned(detector) then
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begin
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Writeln('Unable to load the model');
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Writeln('Pass it as the second parameter: latentsvmdetect <path to cat.jpg> <path to cat.xml>');
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cvReleaseImage(image);
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Halt;
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end;
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detect_and_draw_objects(image, detector, tbbNumThreads);
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cvNamedWindow('test', 0);
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cvShowImage('test', image);
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cvWaitKey(0);
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cvReleaseLatentSvmDetector(detector);
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cvReleaseImage(image);
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cvDestroyAllWindows;
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except
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on E: Exception do
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Writeln(E.ClassName, ': ', E.Message);
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end;
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end.
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