Python TypeError:src不是numpy数组，也不是标量。无流

我试图找到轮廓时，从我的无人机流检测轮廓的排水沟，但我得到这个错误。我不知道如何修理它。任何帮助都将不胜感激。

您正在使用

cam

对象作为图像<代码>cv2。视频捕获对象用于读取帧

import cv2
import numpy as np
cam = cv2.VideoCapture('tcp://192.168.1.1:5555')
img_gray = cv2.cvtColor(cam,cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(img_gray, 127, 255,0)
contours,hierarchy = cv2.findContours(thresh,2,1)
cnt = contours[0]

hull = cv2.convexHull(cnt,returnPoints = False)
defects = cv2.convexityDefects(cnt,hull)

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])
    cv2.line(img,start,end,[0,255,0],2)
    cv2.circle(img,far,5,[0,0,255],-1)

cv2.imshow('img',cam)
cv2.waitKey(0)
cv2.destroyAllWindows()

---

我认为您可以这样做来解决代码中的问题。

您缺少用于从源摄像机捕获帧的read（）函数。让我知道这是否是问题所在。我需要添加什么代码？谢谢。现在我正试着把这个代码输入到我的无人机上，这样它就可以跟着我了。我有什么办法可以做到吗？我不太清楚该怎么做对不起。我对此并不熟悉。提出另一个问题并给出合理的解释，有人会帮助你。如果它解决了问题，请接受答案。实际上，我收到了一个错误，其值太多，无法解包。轮廓，层次=cv2。查找轮廓（thresh，2,1）2和1表示什么？

im2，轮廓，层次=cv2。查找轮廓（thresh，cv2.RETR\u TREE，cv2.CHAIN\u About\u SIMPLE）

这是从图像中获取轮廓的有效代码。其中，thresh计算为

ret，thresh=cv2。阈值（imgray，127255,0）

# create cv2.VideoCapture object with your parameters
cam = cv2.VideoCapture('tcp://192.168.1.1:5555')

# check if the object created successfully
if not cam.isOpened():
    print("VideoCapture failed to open")

# start reading frames until user interrupts or end of file is encountered
while True:
    ret, frame = cam.read()

    if ret == False:
        print("frame empty")
        break

    # process frame here

    # display frame
    cv2.imshow("frame",frame)
    key = cv2.waitKey(1)

    # if 'q' is pressed, then quit loop
    if k == ord('q')
        break

import cv2
import numpy as np

cam = cv2.VideoCapture('tcp://192.168.1.1:5555')
if not cam.isOpened():
    print("VideoCapture failed to open")

while True:
    ret, frame = cam.read()

    if ret == False:
        print("frame empty")
        break

    img_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    ret, thresh = cv2.threshold(img_gray, 127, 255,0)
    contours,hierarchy = cv2.findContours(thresh,2,1)
    cnt = contours[0]

    hull = cv2.convexHull(cnt,returnPoints = False)
    defects = cv2.convexityDefects(cnt,hull)

    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])
        cv2.line(img,start,end,[0,255,0],2)
        cv2.circle(img,far,5,[0,0,255],-1)

   cv2.imshow('img',frame)
   cv2.waitKey(0)

cv2.destroyAllWindows()