89 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			89 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
#include "opencv2/objdetect/objdetect_c.h"
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#include "opencv2/highgui/highgui_c.h"
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#include "opencv2/core/utility.hpp"
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#include <stdio.h>
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using namespace cv;
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static void help()
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{
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    printf( "This program demonstrated the use of the latentSVM detector.\n"
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            "It reads in a trained object model and then uses that to detect the object in an image\n"
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            "Call:\n"
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            "./latentsvmdetect [<image_filename> <model_filename> [<threads_number>]]\n"
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            "  The defaults for image_filename and model_filename are cat.jpg and cat.xml respectively\n"
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            "  Press any key to quit.\n");
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}
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const char* model_filename = "cat.xml";
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const char* image_filename = "cat.jpg";
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int   tbbNumThreads = -1;
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static void detect_and_draw_objects( IplImage* image, CvLatentSvmDetector* detector, int numThreads = -1)
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{
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    CvMemStorage* storage = cvCreateMemStorage(0);
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    CvSeq* detections = 0;
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    int i = 0;
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    int64 start = 0, finish = 0;
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    setNumThreads(numThreads);
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    numThreads = getNumThreads();
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    printf("Number of threads %i\n", numThreads);
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    start = cvGetTickCount();
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    detections = cvLatentSvmDetectObjects(image, detector, storage, 0.5f, numThreads);
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    finish = cvGetTickCount();
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    printf("detection time = %.3f\n", (float)(finish - start) / (float)(cvGetTickFrequency() * 1000000.0));
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    setNumThreads(-1);
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    for( i = 0; i < detections->total; i++ )
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    {
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        CvObjectDetection detection = *(CvObjectDetection*)cvGetSeqElem( detections, i );
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        float score         = detection.score;
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        CvRect bounding_box = detection.rect;
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        cvRectangle( image, cvPoint(bounding_box.x, bounding_box.y),
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                     cvPoint(bounding_box.x + bounding_box.width,
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                            bounding_box.y + bounding_box.height),
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                     CV_RGB(cvRound(255.0f*score),0,0), 3 );
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    }
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    cvReleaseMemStorage( &storage );
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}
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int main(int argc, char* argv[])
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{
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    help();
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    if (argc > 2)
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    {
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        image_filename = argv[1];
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        model_filename = argv[2];
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        if (argc > 3)
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        {
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            tbbNumThreads = atoi(argv[3]);
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        }
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    }
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    IplImage* image = cvLoadImage(image_filename);
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    if (!image)
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    {
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        printf( "Unable to load the image\n"
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                "Pass it as the first parameter: latentsvmdetect <path to cat.jpg> <path to cat.xml>\n" );
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        return -1;
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    }
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    CvLatentSvmDetector* detector = cvLoadLatentSvmDetector(model_filename);
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    if (!detector)
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    {
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        printf( "Unable to load the model\n"
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                "Pass it as the second parameter: latentsvmdetect <path to cat.jpg> <path to cat.xml>\n" );
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        cvReleaseImage( &image );
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        return -1;
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    }
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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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    return 0;
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}
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