我卡在下面的代码中，请帮助我解决错误：WARN：0终止cv2中的异步回调错误
# this is a client program which run on client side
import cv2
import socket
import numpy as np
import math
import time
try:
start_time = time.time()
state1 = "off"
state2 = "off"
state3 = "off"
mode = "on"
host = "192.168.0.106" # socket which acording server in our case #ip address of rapberry Pi
port = 9345
mySocket = socket.socket()
mySocket.connect((host,port))
cap = cv2.VideoCapture(0)
while(cap.isOpened()):
# read image
ret, img = cap.read()
# get hand data from the rectangle sub window on the screen
cv2.rectangle(img, (300,300), (100,100), (0,255,0),0)
crop_img = img[100:300, 100:300]
# convert to grayscale
grey = cv2.cvtColor(crop_img, cv2.COLOR_BGR2GRAY)
# applying gaussian blur
value = (35, 35)
blurred = cv2.GaussianBlur(grey, value, 0)
# thresholdin: Otsu's Binarization method
_, thresh1 = cv2.threshold(blurred, 127, 255,
cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
# show thresholded image
cv2.imshow('Thresholded', thresh1)
# check OpenCV version to avoid unpacking error
(version, _, _) = cv2.__version__.split('.')
if version == '3':
image, contours, hierarchy = cv2.findContours(thresh1.copy(), \
cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
elif version == '2':
contours, hierarchy = cv2.findContours(thresh1.copy(),cv2.RETR_TREE, \
cv2.CHAIN_APPROX_NONE)
# find contour with max area
cnt = max(contours, key = lambda x: cv2.contourArea(x))
# create bounding rectangle around the contour (can skip below two lines)
x, y, w, h = cv2.boundingRect(cnt)
cv2.rectangle(crop_img, (x, y), (x+w, y+h), (0, 0, 255), 0)
# finding convex hull
hull = cv2.convexHull(cnt)
# drawing contours
drawing = np.zeros(crop_img.shape,np.uint8)
cv2.drawContours(drawing, [cnt], 0, (0, 255, 0), 0)
cv2.drawContours(drawing, [hull], 0,(0, 0, 255), 0)
# finding convex hull
hull = cv2.convexHull(cnt, returnPoints=False)
# finding convexity defects
defects = cv2.convexityDefects(cnt, hull)
count_defects = 0
cv2.drawContours(thresh1, contours, -1, (0, 255, 0), 3)
# applying Cosine Rule to find angle for all defects (between fingers)
# with angle > 90 degrees and ignore defects
for i in range(defects.shape[0]):
s,e,f,d = defects[i,0]
start = tuple(cnt[s][0])
end = tuple(cnt[e][0])
far = tuple(cnt[f][0])
# find length of all sides of triangle
a = math.sqrt((end[0] - start[0])**2 + (end[1] - start[1])**2)
b = math.sqrt((far[0] - start[0])**2 + (far[1] - start[1])**2)
c = math.sqrt((end[0] - far[0])**2 + (end[1] - far[1])**2)
# apply cosine rule here
angle = math.acos((b**2 + c**2 - a**2)/(2*b*c)) * 57
# ignore angles > 90 and highlight rest with red dots
if angle <= 90:
count_defects += 1
cv2.circle(crop_img, far, 1, [0,0,255], -1)
#dist = cv2.pointPolygonTest(cnt,far,True)
# draw a line from start to end i.e. the convex points (finger tips)
# (can skip this part)
cv2.line(crop_img,start, end, [0,255,0], 2)
#cv2.circle(crop_img,far,5,[0,0,255],-1)
# define actions required
if count_defects == 1:
if (time.time()>start_time+2):
if mode == "on":
mySocket.send("on_led1".encode())
state1 = "on"
print("led 1 is on")
else:
mySocket.send("off_led1".encode())
state1 = "off"
print("led 1 is off")
start_time = time.time()
cv2.putText(img, "led 1 is "+state1, (5, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, 2)
elif count_defects == 2:
if (time.time()>start_time+2):
if mode == "on":
mySocket.send("on_led2".encode())
state2 = "on"
print("led 2 is on")
else:
mySocket.send("off_led2".encode())
state2 = "off"
print("led 2 is off")
start_time = time.time()
cv2.putText(img, "led 2 is "+state2, (5, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, 2)
elif count_defects == 3:
if (time.time()>start_time+2):
if mode == "on":
mySocket.send("on_led3".encode())
state3 = "on"
print("led 3 is on")
else:
mySocket.send("off_led3".encode())
state3 = "off"
print("led 3 is off")
start_time = time.time()
cv2.putText(img, "led 3 is "+state3, (5, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, 2)
elif count_defects == 4:
cv2.putText(img,"mode is "+mode, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 2, 2)
if(time.time() > start_time+2):
if mode == "on":
mode = "off"
else:
mode = "on"
start_time = time.time()
print(mode)
else:
cv2.putText(img, "use your fingure for turn On/Off lights current mode is "+mode, (5, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, 2)
# show appropriate images in windows
cv2.imshow('Gesture', img)
all_img = np.hstack((drawing, crop_img))
cv2.imshow('Contours', all_img)
k = cv2.waitKey(10)
if k == 27:
break
mySocket.close()
except:
mySocket.send("close_all".encode())
mySocket.close()
以上是我创建的用于使用cv2访问嵌入式设备的程序，所有事情都正常运行，但仍然出现错误，[ WARN:0] terminating async callback我也使用camera.release() cv2.destroyAllWindows()函数，但是不起作用，将不胜感激
我也尝试了此建议suggestion，但在使用Windows 10操作系统的情况下仍然无法使用
这是完整的代码，带有解释code
答案 0 :(得分：1)
我在您的代码中发现了问题。也许您已将cv2库更新为版本4。这就是为什么两个条件都不能满足的原因，下面给出的条件不能满足。
if version == '3':
image, contours, hierarchy = cv2.findContours(thresh1.copy(), \
cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
elif version == '2':
contours, hierarchy = cv2.findContours(thresh1.copy(),cv2.RETR_TREE, \
cv2.CHAIN_APPROX_NONE)
您应该删除elif version == '2':并仅使用else:可能会有帮助。
答案 1 :(得分：0)
此警告来自MSMF后端。试试：
cap = cv2.VideoCapture(cv2.CAP_DSHOW)
或
cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)