mirror of
https://github.com/Laex/Delphi-OpenCV.git
synced 2024-11-16 16:25:53 +01:00
114 lines
3.3 KiB
ObjectPascal
114 lines
3.3 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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// JCL_DEBUG_EXPERT_GENERATEJDBG OFF
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// JCL_DEBUG_EXPERT_INSERTJDBG OFF
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// JCL_DEBUG_EXPERT_DELETEMAPFILE OFF
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program cv_CreateGaussianBGModel;
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{$APPTYPE CONSOLE}
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{$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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legacy;
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Var
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k: Integer;
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fr: Integer;
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tmp_frame: pIplImage;
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cap: PCvCapture;
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update_bg_model: Boolean;
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bg_model: pCvBGStatModel;
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t, learningRate: double;
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params:TCvGaussBGStatModelParams;
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begin
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try
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update_bg_model := true;
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cap := cvCreateCameraCapture(CV_CAP_ANY);
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Assert(Assigned(cap));
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cvNamedWindow('Original', 1);
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cvNamedWindow('BG', 1);
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cvNamedWindow('FG', 1);
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cvMoveWindow('BG', 670, 0);
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cvMoveWindow('FG', 335, 0);
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cvMoveWindow('Original', 0, 0);
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params.win_size:=200;
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params.n_gauss:=5; // cars:5, trees: 2/10
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params.bg_threshold:=0.6; // cars: 0.7, trees: 0.9, car thief: 0.6
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params.std_threshold:=3.0; // cars: 3.5, car thief: 3.0
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params.minArea:=5; // cars: 25, trees: 1
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params.weight_init:=0.05;
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params.variance_init:=50;
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bg_model := NIL;
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fr := 1;
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tmp_frame := cvQueryFrame(cap);
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while tmp_frame <> NIL do
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begin
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cvShowImage('Original', tmp_frame);
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if (bg_model = NIL) then
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begin
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// create BG model
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bg_model := cvCreateGaussianBGModel(tmp_frame,@params);
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end
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else
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begin
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t := cvGetTickCount();
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if (update_bg_model) then
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learningRate := -1
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else
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learningRate := 0;
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cvUpdateBGStatModel(tmp_frame, bg_model, learningRate);
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t := cvGetTickCount - t;
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Writeln(format('%d. %.1f', [fr, t / (cvGetTickFrequency * 1000.0)]));
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cvShowImage('BG', bg_model^.background);
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cvShowImage('FG', bg_model^.foreground);
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end;
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k := cvWaitKey(5);
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if (k = 27) then
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break;
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if (k = ord(' ')) then
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update_bg_model := Not update_bg_model;
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tmp_frame := cvQueryFrame(cap);
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Inc(fr);
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end;
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cvReleaseBGStatModel(bg_model);
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cvReleaseCapture(cap);
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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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