我试图在一个领域中找到2个圆圈,并从我从相机获得的实时数据中标记它们。问题是houghCircles()函数无法始终检测到这些圆,即使它们的位置不变。代码如下:
import cv2
import numpy as np
import time
wait = 5
st = time.clock()
on=0
arka=0
def circleS():
circles = cv2.HoughCircles(img_grs, cv2.HOUGH_GRADIENT, 1, 20,
param1=150,
param2=35,
minRadius=5,
maxRadius=30)
on=0
arka=0
if(circles[0,0,2]>circles[0,1,2]):
on=(circles[0,0,0],circles[0,0,1])
arka=(circles[0,1,0],circles[0,1,1])
if(circles[0,0,2]<circles[0,1,2]):
on=(circles[0,1,0],circles[0,1,1])
arka=(circles[0,0,0],circles[0,0,1])
cv2.circle(img_bgr,on,2,(0,255,0),3)
cv2.circle(img_bgr,arka,2,(0,0,255),3)
return on,arka
def takePic():
ret, frame = camera.read()
img_bgr = np.copy(frame)
frame = None
return img_bgr
camera = cv2.VideoCapture(1)
while((time.clock()-st)<=wait):
ret, frame = camera.read() # Capture a frame
#cv2.imshow('Camera Stream',frame) # Display the captured frame in a window named Camera Stream
cv2.waitKey(1)
cv2.destroyAllWindows()
while(1):
img_bgr=takePic()
img_grs = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)
ret,img_bin = cv2.threshold(img_grs,220,255,cv2.THRESH_BINARY)
corners = cv2.goodFeaturesToTrack(img_bin,9,0.03,3)
corners = np.int0(corners)
on,arka=np.int0(circleS())
for i in corners:
x,y = i.ravel()
if(x>=arka[0]+15 or x<=arka[0]-15 or y>=arka[1]+15 or y<=arka[1]-15 ):
cv2.circle(img_grs,(x,y),3,255,-1)
cv2.imshow("Camera Stream",img_bgr)
cv2.waitKey(10)
img_bgr = None
img_grs= None
time.sleep(5)
camera.release()
cv2.imshow("bin",img_bgr)
cv2.waitKey(0)
cv2.destroyAllWindows()
我得到的错误是索引超出边界,因为圆数组。怎么了?在
circles上的索引越界错误是因为cv2.HoughCircles()在找不到任何圆时可能返回一个空的circles数组(如您所述)。在
在cv2.HoughCircles()调用后添加一个额外的检查:
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