import cv2
import numpy as np
import warnings
warnings.filterwarnings("ignore")
cap = cv2.VideoCapture(0)
while True :
ret ,frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_yellow = np.array([20,0,0])
upper_yellow = np.array([40,255,255])
mask = cv2.inRange(hsv, lower_yellow, upper_yellow)
res = cv2.bitwise_and(frame,frame, mask= mask)
img = cv2.medianBlur(res, 5)
ccimg = cv2.cvtColor(img, cv2.COLOR_HSV2BGR)
cimg = cv2.cvtColor(ccimg, cv2.COLOR_BGR2GRAY)
circles = cv2.HoughCircles(cimg, cv2.HOUGH_GRADIENT, 1, 20,param1=50, param2=30, minRadius=20, maxRadius=30)
if circles is not None:
print("circle is found")
circles = np.uint16(np.around(circles))
for i in circles[0, :]:
cv2.circle(cimg, (i[0], i[1]), i[2], (0, 255, 0), 2)
cv2.circle(cimg, (i[0], i[1]), 2, (0, 0, 255), 3)
cv2.imshow('detected circles', cimg)
cv2.imshow('res',res)
if cv2.waitKey(1) & 0xFF == ord("q"):
break
cv2.destroyAllWindows()
我想通过使用 opencv 来检测交通灯,最初我想通过使用 HSV 空间然后中值滤波并找到圆圈来检测黄色,但它会引发错误 async ReadSample() call is failed with error status: -1072873821
和 OnReadSample() is called with error status: -1072873821
可能错误是由检查是否找到任何圆的 if 状态引起的,错误是一个很长的列表,但这两个重复。
答案 0 :(得分:0)
捕获设备无法读取帧。 OnReadSample()
调用在 cap.read()
上失败,您应该实现逻辑来处理未被读取的帧。我已经在下面演示了这一点:
import cv2
import numpy as np
import warnings
warnings.filterwarnings("ignore")
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
if ret == True:
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_yellow = np.array([20, 0, 0])
upper_yellow = np.array([40, 255, 255])
mask = cv2.inRange(hsv, lower_yellow, upper_yellow)
res = cv2.bitwise_and(frame, frame, mask=mask)
img = cv2.medianBlur(res, 5)
ccimg = cv2.cvtColor(img, cv2.COLOR_HSV2BGR)
cimg = cv2.cvtColor(ccimg, cv2.COLOR_BGR2GRAY)
circles = cv2.HoughCircles(cimg, cv2.HOUGH_GRADIENT, 1, 20, param1=50, param2=30, minRadius=20, maxRadius=30)
if circles is not None:
print("circle is found")
circles = np.uint16(np.around(circles))
for i in circles[0, :]:
cv2.circle(cimg, (i[0], i[1]), i[2], (0, 255, 0), 2)
cv2.circle(cimg, (i[0], i[1]), 2, (0, 0, 255), 3)
cv2.imshow('detected circles', cimg)
cv2.imshow('res', res)
else:
print("Read Failed")
if cv2.waitKey(1) & 0xFF == ord("q"):
break
cv2.destroyAllWindows()