opencv/samples/python/minarea.py

62 lines
1.7 KiB
Python
Executable File

#!/usr/bin/python
import urllib2
import cv
from random import randint
def roundxy(pt):
return (cv.Round(pt[0]), cv.Round(pt[1]))
def draw_common(points):
success, center, radius = cv.MinEnclosingCircle(points)
if success:
cv.Circle(img, roundxy(center), cv.Round(radius), cv.CV_RGB(255, 255, 0), 1, cv. CV_AA, 0)
box = cv.MinAreaRect2(points)
box_vtx = [roundxy(p) for p in cv.BoxPoints(box)]
cv.PolyLine(img, [box_vtx], 1, cv.CV_RGB(0, 255, 255), 1, cv. CV_AA)
def minarea_array(img, count):
pointMat = cv.CreateMat(count, 1, cv.CV_32SC2)
for i in range(count):
pointMat[i, 0] = (randint(img.width/4, img.width*3/4),
randint(img.height/4, img.height*3/4))
cv.Zero(img)
for i in range(count):
cv.Circle(img, roundxy(pointMat[i, 0]), 2, cv.CV_RGB(255, 0, 0), cv.CV_FILLED, cv. CV_AA, 0)
draw_common(pointMat)
def minarea_seq(img, count, storage):
points = [(randint(img.width/4, img.width*3/4), randint(img.height/4, img.height*3/4)) for i in range(count)]
cv.Zero(img)
for p in points:
cv.Circle(img, roundxy(p), 2, cv.CV_RGB(255, 0, 0), cv.CV_FILLED, cv. CV_AA, 0)
draw_common(points)
if __name__ == "__main__":
img = cv.CreateImage((500, 500), 8, 3)
storage = cv.CreateMemStorage()
cv.NamedWindow("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)
cv.ShowImage("rect & circle", img)
key = cv.WaitKey() % 0x100
if key in [27, ord('q'), ord('Q')]:
break
use_seq = not use_seq