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Open Source Computer Vision Library
https://opencv.org/
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78 lines
2.1 KiB
78 lines
2.1 KiB
#include <opencv2/video/background_segm.hpp> |
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#include <opencv2/highgui/highgui.hpp> |
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#include <stdio.h> |
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void help() |
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{ |
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printf("\nDo background segmentation, especially demonstrating the use of cvUpdateBGStatModel.\n" |
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"Learns the background at the start and then segments.\n" |
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"Learning is togged by the space key. Will read from file or camera\n" |
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"Call:\n" |
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"./ bgfg_segm [file name -- if no name, read from camera]\n\n"); |
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} |
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//this is a sample for foreground detection functions |
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int main(int argc, char** argv) |
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{ |
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IplImage* tmp_frame = NULL; |
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CvCapture* cap = NULL; |
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bool update_bg_model = true; |
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if( argc < 2 ) |
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cap = cvCaptureFromCAM(0); |
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else |
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cap = cvCaptureFromFile(argv[1]); |
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help(); |
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if( !cap ) |
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{ |
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printf("can not open camera or video file\n"); |
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return -1; |
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} |
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tmp_frame = cvQueryFrame(cap); |
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if(!tmp_frame) |
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{ |
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printf("can not read data from the video source\n"); |
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return -1; |
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} |
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cvNamedWindow("BG", 1); |
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cvNamedWindow("FG", 1); |
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CvBGStatModel* bg_model = 0; |
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for( int fr = 1;tmp_frame; tmp_frame = cvQueryFrame(cap), fr++ ) |
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{ |
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if(!bg_model) |
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{ |
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//create BG model |
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bg_model = cvCreateGaussianBGModel( tmp_frame ); |
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//bg_model = cvCreateFGDStatModel( temp ); |
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continue; |
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} |
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double t = (double)cvGetTickCount(); |
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cvUpdateBGStatModel( tmp_frame, bg_model, update_bg_model ? -1 : 0 ); |
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t = (double)cvGetTickCount() - t; |
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printf( "%d. %.1f\n", fr, t/(cvGetTickFrequency()*1000.) ); |
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cvShowImage("BG", bg_model->background); |
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cvShowImage("FG", bg_model->foreground); |
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char k = cvWaitKey(5); |
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if( k == 27 ) break; |
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if( k == ' ' ) |
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{ |
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update_bg_model = !update_bg_model; |
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if(update_bg_model) |
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printf("Background update is on\n"); |
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else |
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printf("Background update is off\n"); |
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} |
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} |
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cvReleaseBGStatModel( &bg_model ); |
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cvReleaseCapture(&cap); |
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return 0; |
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}
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