mirror of
https://github.com/Laex/Delphi-OpenCV.git
synced 2024-11-18 01:05:53 +01:00
7edf1d9684
Signed-off-by: Laentir Valetov <laex@bk.ru>
203 lines
6.2 KiB
ObjectPascal
203 lines
6.2 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 cv_ExtractSURF;
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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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WinApi.Windows,
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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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compat,
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nonfree,
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uResourcePaths;
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function compareSURFDescriptors(const d1: pSingle; const d2: pSingle; best: Double; length: Integer): Double;
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var
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total_cost: Double;
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i: Integer;
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t0, t1, t2, t3: Double;
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begin
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total_cost := 0;
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assert(length mod 4 = 0);
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i := 0;
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while i < length do
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begin
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t0 := d1[i] - d2[i];
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t1 := d1[i + 1] - d2[i + 1];
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t2 := d1[i + 2] - d2[i + 2];
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t3 := d1[i + 3] - d2[i + 3];
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total_cost := total_cost + t0 * t0 + t1 * t1 + t2 * t2 + t3 * t3;
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if (total_cost > best) then
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break;
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i := i + 4;
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end;
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Result := total_cost;
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end;
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function naiveNearestNeighbor(const vec: pSingle; laplacian: Integer; const model_keypoints: pCvSeq;
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const model_descriptors: pCvSeq): Integer;
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Var
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length: Integer;
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i, neighbor: Integer;
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d, dist1, dist2: Double;
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reader, kreader: TCvSeqReader;
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kp: pCvSURFPoint;
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mvec: pSingle;
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begin
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length := model_descriptors.elem_size div sizeof(single);
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neighbor := -1;
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dist1 := 1E6;
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dist2 := 1E6;
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cvStartReadSeq(model_keypoints, @kreader, 0);
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cvStartReadSeq(model_descriptors, @reader, 0);
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for i := 0 to model_descriptors.total - 1 do
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begin
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kp := pCvSURFPoint(kreader.ptr);
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mvec := pSingle(reader.ptr);
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CV_NEXT_SEQ_ELEM(kreader.seq.elem_size, kreader);
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CV_NEXT_SEQ_ELEM(reader.seq.elem_size, reader);
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if (laplacian <> kp.laplacian) then
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continue;
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d := compareSURFDescriptors(vec, mvec, dist2, length);
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if (d < dist1) then
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begin
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dist2 := dist1;
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dist1 := d;
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neighbor := i;
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end
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else if (d < dist2) then
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dist2 := d;
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end;
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if (dist1 < 0.6 * dist2) then
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Exit(neighbor);
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Exit(-1);
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end;
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Type
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TCvPointArr = Array [0 .. 3] of TCvPoint;
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TIntegerDynArray = Array of Integer;
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pIntegerDynArray = ^TIntegerDynArray;
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Procedure findPairs(objectKeypoints, objectDescriptors, imageKeypoints, imageDescriptors: pCvSeq; Var ptpairs: TIntegerDynArray);
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Var
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i, nearest_neighbor, n: Integer;
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reader, kreader: TCvSeqReader;
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kp: pCvSURFPoint;
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descriptor: pSingle;
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Begin
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cvStartReadSeq(objectKeypoints, @kreader);
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cvStartReadSeq(objectDescriptors, @reader);
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n := 0;
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SetLength(ptpairs, 0);
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initialize(ptpairs, 0);
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for i := 0 to objectDescriptors.total - 1 do
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begin
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kp := pCvSURFPoint(kreader.ptr);
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descriptor := pSingle(reader.ptr);
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CV_NEXT_SEQ_ELEM(kreader.seq.elem_size, kreader);
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CV_NEXT_SEQ_ELEM(reader.seq.elem_size, reader);
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nearest_neighbor := naiveNearestNeighbor(descriptor, kp.laplacian, imageKeypoints, imageDescriptors);
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if nearest_neighbor >= 0 Then
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begin
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n := n + 1;
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SetLength(ptpairs, n + 1);
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ptpairs[n] := nearest_neighbor;
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End;
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End;
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End;
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const
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object_filename = cResourceMedia + 'box.png';
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scene_filename = cResourceMedia + 'box_in_scene.png';
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Var
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image, ObjImg, objectcolor, correspond: pIplImage;
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storage: pCvMemStorage;
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objectKeypoints, objectDescriptors, imageKeypoints, imageDescriptors: pCvSeq;
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params: TCvSURFParams;
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tt: Double;
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src_corners: TCvPointArr;
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i: Integer;
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ptpairs: TIntegerDynArray;
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p1, p2: pCvSURFPoint;
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begin
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try
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initModule_nonfree;
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ObjImg := cvLoadImage(object_filename, CV_LOAD_IMAGE_GRAYSCALE);
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image := cvLoadImage(scene_filename, CV_LOAD_IMAGE_GRAYSCALE);
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storage := cvCreateMemStorage(0);
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objectcolor := cvCreateImage(cvSize(ObjImg.Width, ObjImg.Height), 8, 3);
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cvCvtColor(ObjImg, objectcolor, CV_GRAY2BGR);
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params := cvSURFParams(500, 1);
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tt := cvGetTickCount;
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cvExtractSURF(ObjImg, 0, @objectKeypoints, @objectDescriptors, storage, params);
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cvExtractSURF(image, 0, @imageKeypoints, @imageDescriptors, storage, params);
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tt := cvGetTickCount - tt;
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src_corners[0] := cvPoint(0, 0);
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src_corners[1] := cvPoint(ObjImg.Width, 0);
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src_corners[2] := cvPoint(ObjImg.Width, ObjImg.Height);
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src_corners[3] := cvPoint(0, ObjImg.Height);
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correspond := cvCreateImage(cvSize(image.Width, ObjImg.Height + image.Height), 8, 1);
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cvSetImageROI(correspond, cvRect(0, 0, ObjImg.Width, ObjImg.Height));
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cvCopy(ObjImg, correspond);
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cvSetImageROI(correspond, cvRect(0, ObjImg.Height, correspond.Width, correspond.Height));
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cvCopy(image, correspond);
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cvResetImageROI(correspond);
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findPairs(objectKeypoints, objectDescriptors, imageKeypoints, imageDescriptors, ptpairs);
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i := 0;
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While i < length(ptpairs) do
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begin
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p1 := pCvSURFPoint(cvGetSeqElem(objectKeypoints, ptpairs[i]));
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p2 := pCvSURFPoint(cvGetSeqElem(imageKeypoints, ptpairs[i]));
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cvLine(correspond, cvPointFrom32f(p1.pt), cvPoint(cvRound(p2.pt.x), cvRound(p2.pt.y + ObjImg.Height)), cvscalarAll(255));
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i := i + 1;
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End;
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cvShowImage('A', correspond);
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While True Do
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if cvWaitKey(50) = 27 Then
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break;
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cvReleaseImage(objectcolor);
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cvReleaseMemStorage(storage);
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cvReleaseImage(ObjImg);
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cvReleaseImage(image);
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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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