Python OpenCV错误：断言失败（scn==3 | | scn==4）

我正在尝试使用OpenCV和python检测对象。这是我试图运行的代码

import cv2

def diffImg(t0, t1, t2):
  d1 = cv2.absdiff(t2, t1)
  d2 = cv2.absdiff(t1, t0)
  return cv2.bitwise_and(d1, d2)

cam = cv2.VideoCapture(1)

winName = "Movement Indicator"
cv2.namedWindow(winName, cv2.CV_WINDOW_AUTOSIZE)

# Read three images first:
t_minus = cv2.cvtColor(cam.read()[1], cv2.COLOR_BGR2GRAY)
t = cv2.cvtColor(cam.read()[1], cv2.COLOR_BGR2GRAY)
t_plus = cv2.cvtColor(cam.read()[1], cv2.COLOR_BGR2GRAY)

while True:
  cv2.imshow( winName, diffImg(t_minus, t, t_plus) )

  # Read next image
  t_minus = t
  t = t_plus
  t_plus = cv2.cvtColor(cam.read()[1], cv2.COLOR_GRAY2BGR)

  key = cv2.waitKey(10)
  if key == 27:
    cv2.destroyWindow(winName)
    break

当我运行这段代码时，它给出了以下错误

OpenCV Error: Assertion failed (scn == 3 || scn == 4) in cv::cvtColor, file ..\..\..\..\opencv\modules\imgproc\src\color.cpp, line 3739
Traceback (most recent call last):
  File "C:/Users/Ravi/PycharmProjects/Test/thread1.py", line 14, in <module>
    t_minus = cv2.cvtColor(cam.read()[1], cv2.COLOR_BGR2GRAY)
cv2.error: ..\..\..\..\opencv\modules\imgproc\src\color.cpp:3739: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor

Traceback (most recent call last):
  File "/home/ravi/PycharmProjects/Test/thread1.py", line 11, in <module>
    cv2.namedWindow(winName, cv2.CV_WINDOW_AUTOSIZE)
AttributeError: 'module' object has no attribute 'CV_WINDOW_AUTOSIZE'

我尝试过几种方法来改变color.BRG2GRAY…等等，我还尝试过使用我的默认网络摄像头和其他usb网络摄像头。但这两种方法都会产生相同的错误。我能做些什么来解决这件事

当我在Ubuntu平台上运行相同的代码时，它给出了以下错误

OpenCV Error: Assertion failed (scn == 3 || scn == 4) in cv::cvtColor, file ..\..\..\..\opencv\modules\imgproc\src\color.cpp, line 3739
Traceback (most recent call last):
  File "C:/Users/Ravi/PycharmProjects/Test/thread1.py", line 14, in <module>
    t_minus = cv2.cvtColor(cam.read()[1], cv2.COLOR_BGR2GRAY)
cv2.error: ..\..\..\..\opencv\modules\imgproc\src\color.cpp:3739: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor

Traceback (most recent call last):
  File "/home/ravi/PycharmProjects/Test/thread1.py", line 11, in <module>
    cv2.namedWindow(winName, cv2.CV_WINDOW_AUTOSIZE)
AttributeError: 'module' object has no attribute 'CV_WINDOW_AUTOSIZE'

---

实际上，cam.read返回2个值，您可能不需要第一个值

所以试试这个：

cam = cv2.VideoCapture(1)
winName = "Movement Indicator"
cv2.namedWindow(winName, cv2.CV_WINDOW_AUTOSIZE)

_,frame1 = cam.read()
_,frame2 = cam.read()
_,frame3 = cam.read()

# Read three images first:
t_minus = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY)
t = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY)
t_plus = cv2.cvtColor(frame3, cv2.COLOR_BGR2GRAY)

同样，下一节：

while True:
  cv2.imshow( winName, diffImg(t_minus, t, t_plus) )

  # Read next image
  t_minus = t
  t = t_plus
  _,frame = cam.read()
  t_plus = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)

  key = cv2.waitKey(10)
  if key == 27:
    cv2.destroyWindow(winName)
    break

---

对于Ubuntu平台：只需将属性cv2.CV\u WINDOW\u AUTOSIZE更改为cv2.WINDOW\u NORMAL。我认为这是由于opencv版本

import cv2

def diffImg(t0, t1, t2):
  d1 = cv2.absdiff(t2, t1)
  d2 = cv2.absdiff(t1, t0)
  return cv2.bitwise_and(d1, d2)

cam = cv2.VideoCapture(0)

winName = "Movement Indicator"
cv2.namedWindow(winName, cv2.WINDOW_NORMAL)

# Read three images first:
t_minus = cv2.cvtColor(cam.read()[1], cv2.COLOR_RGB2GRAY)
t = cv2.cvtColor(cam.read()[1], cv2.COLOR_RGB2GRAY)
t_plus = cv2.cvtColor(cam.read()[1], cv2.COLOR_RGB2GRAY)

while True:
  cv2.imshow( winName, diffImg(t_minus, t, t_plus) )

  # Read next image
  t_minus = t
  t = t_plus
  t_plus = cv2.cvtColor(cam.read()[1], cv2.COLOR_RGB2GRAY)

  key = cv2.waitKey(10)
  if key == 27:
    cv2.destroyWindow(winName)
    break

---

该错误意味着您的输入图像没有3或4个通道，这是彩色图像假定的。我不知道PythonAPI，但是cam.read[1]是否意味着只使用1号频道？请改为尝试cam.read。我试过了，但它给出的src不是一个数值元组错误@Mickacan你将图像读取到一个变量，然后显示未修改的图像？并提前测试捕获的图像是否为empzy？