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#!/usr/bin/python
from opencv.cv import *
from opencv.highgui import *
from random import randint
def minarea_array(img, count):
pointMat = cvCreateMat( count, 1, CV_32SC2 )
for i in range(count):
pointMat[i] = cvPoint( randint(img.width/4, img.width*3/4),
randint(img.height/4, img.height*3/4) )
box = cvMinAreaRect2( pointMat )
box_vtx = cvBoxPoints( box )
success, center, radius = cvMinEnclosingCircle( pointMat )
cvZero( img )
for i in range(count):
cvCircle( img, cvGet1D(pointMat,i), 2, CV_RGB( 255, 0, 0 ), CV_FILLED, CV_AA, 0 )
box_vtx = [cvPointFrom32f(box_vtx[0]),
cvPointFrom32f(box_vtx[1]),
cvPointFrom32f(box_vtx[2]),
cvPointFrom32f(box_vtx[3])]
cvCircle( img, cvPointFrom32f(center), cvRound(radius), CV_RGB(255, 255, 0), 1, CV_AA, 0 )
cvPolyLine( img, [box_vtx], 1, CV_RGB(0,255,255), 1, CV_AA )
def minarea_seq(img, count, storage):
ptseq = cvCreateSeq( CV_SEQ_KIND_GENERIC | CV_32SC2, sizeof_CvContour, sizeof_CvPoint, storage )
ptseq = CvSeq_CvPoint.cast( ptseq )
for i in range(count):
pt0 = cvPoint( randint(img.width/4, img.width*3/4),
randint(img.height/4, img.height*3/4) )
cvSeqPush( ptseq, pt0 )
box = cvMinAreaRect2( ptseq )
box_vtx = cvBoxPoints( box )
success, center, radius = cvMinEnclosingCircle( ptseq )
cvZero( img )
for pt in ptseq:
cvCircle( img, pt, 2, CV_RGB( 255, 0, 0 ), CV_FILLED, CV_AA, 0 )
box_vtx = [cvPointFrom32f(box_vtx[0]),
cvPointFrom32f(box_vtx[1]),
cvPointFrom32f(box_vtx[2]),
cvPointFrom32f(box_vtx[3])]
cvCircle( img, cvPointFrom32f(center), cvRound(radius), CV_RGB(255, 255, 0), 1, CV_AA, 0 )
cvPolyLine( img, [box_vtx], 1, CV_RGB(0,255,255), 1, CV_AA )
cvClearMemStorage( storage )
if __name__ == "__main__":
img = cvCreateImage( cvSize( 500, 500 ), 8, 3 );
storage = cvCreateMemStorage(0);
cvNamedWindow( "rect & circle", 1 );
use_seq=True
while True:
count = randint(1,100)
if use_seq:
minarea_seq(img, count, storage)
else:
minarea_array(img, count)
cvShowImage("rect & circle", img)
key = cvWaitKey()
if( key == '\x1b' ):
break;
use_seq = not use_seq
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