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Fixed visualization by choosing the color appropriate to the detection

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Fixed visualization by choosing the color appropriate to the detection
score.
Previously the example showed all detections with the same color
disregarding the confidence. This led to the impression that the object
detection did not work at all because there are many detections with low
confidences.

PR to master was
https://github.com/Itseez/opencv/pull/320
This commit is contained in:
Stefan Romberg 2013-01-24 10:01:18 +01:00
parent 594f969641
commit 9f417268b3
1 changed files with 2 additions and 1 deletions
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3
samples/c/latentsvmdetect.cpp
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@ -56,11 +56,12 @@ static void detect_and_draw_objects( IplImage* image, CvLatentSvmDetector* detec
for( i = 0; i < detections->total; i++ )
{
CvObjectDetection detection = *(CvObjectDetection*)cvGetSeqElem( detections, i );
float score = detection.score;
CvRect bounding_box = detection.rect;
cvRectangle( image, cvPoint(bounding_box.x, bounding_box.y),
cvPoint(bounding_box.x + bounding_box.width,
bounding_box.y + bounding_box.height),
CV_RGB(255,0,0), 3 );
CV_RGB(cvRound(255.0f*score),0,0), 3 );
}
cvReleaseMemStorage( &storage );
}