112 lines
3.7 KiB
Python
Executable File
112 lines
3.7 KiB
Python
Executable File
#!/usr/bin/python
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from opencv.cv import *
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from opencv.highgui import *
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import sys
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marker_mask = None;
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markers = None;
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img0 = None
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img = None
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img_gray = None
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wshed = None
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prev_pt = cvPoint(-1,-1)
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def on_mouse( event, x, y, flags, param ):
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global prev_pt
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if( not img ):
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return;
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if( event == CV_EVENT_LBUTTONUP or not (flags & CV_EVENT_FLAG_LBUTTON) ):
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prev_pt = cvPoint(-1,-1);
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elif( event == CV_EVENT_LBUTTONDOWN ):
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prev_pt = cvPoint(x,y);
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elif( event == CV_EVENT_MOUSEMOVE and (flags & CV_EVENT_FLAG_LBUTTON) ):
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pt = cvPoint(x,y);
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if( prev_pt.x < 0 ):
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prev_pt = pt;
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cvLine( marker_mask, prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
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cvLine( img, prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
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prev_pt = pt;
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cvShowImage( "image", img );
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if __name__ == "__main__":
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filename = "../c/fruits.jpg"
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if len(sys.argv)>1:
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filename = sys.argv[1]
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rng = cvRNG(-1);
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img0 = cvLoadImage(filename,1)
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if not img0:
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print "Error opening image '%s'" % filename
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sys.exit(-1)
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print "Hot keys:"
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print "\tESC - quit the program"
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print "\tr - restore the original image"
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print "\tw - run watershed algorithm"
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print "\t (before that, roughly outline several markers on the image)"
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cvNamedWindow( "image", 1 );
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cvNamedWindow( "watershed transform", 1 );
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img = cvCloneImage( img0 );
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img_gray = cvCloneImage( img0 );
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wshed = cvCloneImage( img0 );
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marker_mask = cvCreateImage( cvGetSize(img), 8, 1 );
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markers = cvCreateImage( cvGetSize(img), IPL_DEPTH_32S, 1 );
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cvCvtColor( img, marker_mask, CV_BGR2GRAY );
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cvCvtColor( marker_mask, img_gray, CV_GRAY2BGR );
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cvZero( marker_mask );
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cvZero( wshed );
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cvShowImage( "image", img );
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cvShowImage( "watershed transform", wshed );
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cvSetMouseCallback( "image", on_mouse, None );
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while True:
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c = cvWaitKey(0);
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if c=='\x1b':
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break;
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if c == 'r':
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cvZero( marker_mask );
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cvCopy( img0, img );
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cvShowImage( "image", img );
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if c == 'w':
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storage = cvCreateMemStorage(0);
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comp_count = 0;
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#cvSaveImage( "wshed_mask.png", marker_mask );
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#marker_mask = cvLoadImage( "wshed_mask.png", 0 );
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nb_cont, contours = cvFindContours( marker_mask, storage, sizeof_CvContour,
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CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
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cvZero( markers );
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while contours:
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cvDrawContours( markers, contours, cvScalarAll(comp_count+1),
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cvScalarAll(comp_count+1), -1, -1, 8, cvPoint(0,0) );
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contours=contours.h_next
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comp_count+=1
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color_tab = cvCreateMat( comp_count, 1, CV_8UC3 );
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for i in range(comp_count):
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color_tab[i] = cvScalar( cvRandInt(rng)%180 + 50,
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cvRandInt(rng)%180 + 50,
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cvRandInt(rng)%180 + 50 );
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t = cvGetTickCount();
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cvWatershed( img0, markers );
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t = cvGetTickCount() - t;
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#print "exec time = %f" % t/(cvGetTickFrequency()*1000.)
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cvSet( wshed, cvScalarAll(255) );
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# paint the watershed image
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for j in range(markers.height):
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for i in range(markers.width):
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idx = markers[j,i]
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if idx==-1:
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continue
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idx = idx-1
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wshed[j,i] = color_tab[idx,0]
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cvAddWeighted( wshed, 0.5, img_gray, 0.5, 0, wshed );
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cvShowImage( "watershed transform", wshed );
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cvWaitKey();
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