我在 RaspberryPi 3 中使用 opencv 3.1。我正在尝试运行以下霍夫圆检测算法
#! /usr/bin/python
import numpy as np
import cv2
from cv2 import cv
VInstance = cv2.VideoCapture(0)
key = True
"""
params = dict(dp,
minDist,
circles,
param1,
param2,
minRadius,
maxRadius)
"""
def draw_circles(circles, output):
if circles is not None:
for i in circles[0,:]:
#draw the outer circle
cv2.circle(output,(i[0],i[1]),i[2],(0,255,0),2)
#draw the centre of the circle
cv2.circle(output,(i[0],i[1]),2,(0,0,255),3)
print("The number of circles if %d" %(circles[0].shape[0]))
elif circles is None:
print ("The number of circles is 0")
if __name__ == '__main__':
while key:
ret,img = VInstance.read()
## Smooth image to reduce the input noise
imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
imgSmooth = cv2.GaussianBlur(imgGray,(5,5),3)
## Compute Hough Circles
circles = cv2.HoughCircles(imgSmooth,cv2.cv.CV_HOUGH_GRADIENT,1,100,
param1=80,
param2=50,
minRadius=50,
maxRadius=100)
draw_circles(circles,img)
## Display the circles
cv2.imshow('detected circles',imgGray)
cv2.imshow("result",img)
k = cv2.waitKey(1)
if k == 27:
cv2.destroyAllWindows()
break
但我收到断言失败错误,详细信息如下。
OpenCV Error: Assertion failed (scn == 3 || scn == 4) in cvtColor, file /home/pi/opencv-3.1.0/modules/imgproc/src/color.cpp, line 8000 Traceback (most recent call last): File "HoughCircles.py", line 70, in imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) cv2.error: /home/pi/opencv-3.1.0/modules/imgproc/src/color.cpp:8000: error: (-215) scn == 3 || scn == 4 in function cvtColor
任何人都可以检查并提供帮助吗!
最佳答案
错误代码“cvtColor 中断言失败 (scn == 3 || scn == 4)”表示 cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) 中的输入(源)图像
方法没有 3 或 4 个 channel ,而这是此类转换所必需的。可能您的输入图像已经是灰度格式。尝试不要使用该方法,您的问题应该可以解决。如果它确实引发其他无法解决的错误或无法解决问题,请在评论中发布您的问题。
关于python - 获取 openCV 错误 : Assertion Failed,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/38542599/