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Open Source Computer Vision Library
https://opencv.org/
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150 lines
3.9 KiB
150 lines
3.9 KiB
15 years ago
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#!/usr/bin/python
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"""
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the script demostrates iterative construction of
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delaunay triangulation and voronoi tesselation
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Original Author (C version): ?
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Converted to Python by: Roman Stanchak
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"""
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from opencv.cv import *
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from opencv.highgui import *
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from random import random,randint
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def draw_subdiv_point( img, fp, color ):
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cvCircle( img, cvPoint(cvRound(fp.x), cvRound(fp.y)), 3, color, CV_FILLED, 8, 0 );
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def draw_subdiv_edge( img, edge, color ):
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org_pt = cvSubdiv2DEdgeOrg(edge);
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dst_pt = cvSubdiv2DEdgeDst(edge);
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if org_pt and dst_pt :
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org = org_pt.pt;
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dst = dst_pt.pt;
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iorg = cvPoint( cvRound( org.x ), cvRound( org.y ));
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idst = cvPoint( cvRound( dst.x ), cvRound( dst.y ));
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cvLine( img, iorg, idst, color, 1, CV_AA, 0 );
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def draw_subdiv( img, subdiv, delaunay_color, voronoi_color ):
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total = subdiv.edges.total;
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elem_size = subdiv.edges.elem_size;
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for edge in subdiv.edges:
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edge_rot = cvSubdiv2DRotateEdge( edge, 1 )
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if( CV_IS_SET_ELEM( edge )):
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draw_subdiv_edge( img, edge_rot, voronoi_color );
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draw_subdiv_edge( img, edge, delaunay_color );
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def locate_point( subdiv, fp, img, active_color ):
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[res, e0, p] = cvSubdiv2DLocate( subdiv, fp );
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if e0:
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e = e0
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while True:
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draw_subdiv_edge( img, e, active_color );
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e = cvSubdiv2DGetEdge(e,CV_NEXT_AROUND_LEFT);
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if e == e0:
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break
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draw_subdiv_point( img, fp, active_color );
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def draw_subdiv_facet( img, edge ):
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t = edge;
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count = 0;
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# count number of edges in facet
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while count == 0 or t != edge:
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count+=1
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t = cvSubdiv2DGetEdge( t, CV_NEXT_AROUND_LEFT );
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buf = []
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# gather points
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t = edge;
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for i in range(count):
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assert t>4
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pt = cvSubdiv2DEdgeOrg( t );
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if not pt:
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break;
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buf.append( cvPoint( cvRound(pt.pt.x), cvRound(pt.pt.y) ) );
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t = cvSubdiv2DGetEdge( t, CV_NEXT_AROUND_LEFT );
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if( len(buf)==count ):
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pt = cvSubdiv2DEdgeDst( cvSubdiv2DRotateEdge( edge, 1 ));
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cvFillConvexPoly( img, buf, CV_RGB(randint(0,255),randint(0,255),randint(0,255)), CV_AA, 0 );
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cvPolyLine( img, [buf], 1, CV_RGB(0,0,0), 1, CV_AA, 0);
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draw_subdiv_point( img, pt.pt, CV_RGB(0,0,0));
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def paint_voronoi( subdiv, img ):
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total = subdiv.edges.total;
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elem_size = subdiv.edges.elem_size;
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cvCalcSubdivVoronoi2D( subdiv );
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for edge in subdiv.edges:
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if( CV_IS_SET_ELEM( edge )):
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# left
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draw_subdiv_facet( img, cvSubdiv2DRotateEdge( edge, 1 ));
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# right
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draw_subdiv_facet( img, cvSubdiv2DRotateEdge( edge, 3 ));
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if __name__ == '__main__':
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win = "source";
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rect = cvRect( 0, 0, 600, 600 );
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active_facet_color = CV_RGB( 255, 0, 0 );
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delaunay_color = CV_RGB( 0,0,0);
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voronoi_color = CV_RGB(0, 180, 0);
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bkgnd_color = CV_RGB(255,255,255);
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img = cvCreateImage( cvSize(rect.width,rect.height), 8, 3 );
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cvSet( img, bkgnd_color );
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cvNamedWindow( win, 1 );
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storage = cvCreateMemStorage(0);
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subdiv = cvCreateSubdivDelaunay2D( rect, storage );
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print "Delaunay triangulation will be build now interactively."
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print "To stop the process, press any key\n";
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for i in range(200):
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fp = cvPoint2D32f( random()*(rect.width-10)+5, random()*(rect.height-10)+5 )
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locate_point( subdiv, fp, img, active_facet_color );
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cvShowImage( win, img );
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if( cvWaitKey( 100 ) >= 0 ):
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break;
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cvSubdivDelaunay2DInsert( subdiv, fp );
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cvCalcSubdivVoronoi2D( subdiv );
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cvSet( img, bkgnd_color );
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draw_subdiv( img, subdiv, delaunay_color, voronoi_color );
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cvShowImage( win, img );
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if( cvWaitKey( 100 ) >= 0 ):
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break;
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cvSet( img, bkgnd_color );
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paint_voronoi( subdiv, img );
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cvShowImage( win, img );
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cvWaitKey(0);
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cvDestroyWindow( win );
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