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python - Raspberry Pi OpenCV : src is not a numpy array, 既不是标量

转载 作者:太空宇宙 更新时间:2023-11-03 22:27:38 26 4
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我正在尝试让我的 Raspberry Pi B+ 使用 USB 网络摄像头来测量它与固定宽度(11.0 英寸)的物体之间的距离。

我正在关注这个guide现在。但是,我没有使用静态图像,而是使用来自网络摄像头的视频。

这是我要运行的代码:

import argparse
import datetime
import imutils
import time
import cv2
import numpy as np

def find_marker(frame):
# convert the image to grayscale, blur it, and detect edges
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (5, 5), 0)
edged = cv2.Canny(gray, 35, 125)

# find the contours in the edged image and keep the largest one;
# we'll assume that this is our piece of paper in the image
(cnts, _) = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
c = max(cnts, key = cv2.contourArea)

# compute the bounding box of the of the paper region and return it
return cv2.minAreaRect(c)

def distance_to_camera(knownWidth, focalLength, perWidth):
# compute and return the distance from the maker to the camera
return (knownWidth * focalLength) / perWidth


#======================================================================
#main is here

# initialize the known distance from the camera to the object, which
# in this case is 24 inches
KNOWN_DISTANCE = 24.0

# initialize the known object width, which in this case, the piece of
# paper is 11 inches wide
KNOWN_WIDTH = 11.0

frame = cv2.VideoCapture(0)
marker = find_marker(frame)
focalLength = (marker[1][0] * KNOWN_DISTANCE) / KNOWN_WIDTH

# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-v", "--video", help="path to the video file")
ap.add_argument("-a", "--min-area", type=int, default=500, help="minimum area size")
args = vars(ap.parse_args())

# if the video argument is None, then we are reading from webcam
if args.get("video", None) is None:
camera = cv2.VideoCapture(0)
time.sleep(0.25)

# otherwise, we are reading from a video file
else:
camera = cv2.VideoCapture(args["video"])

# loop over the frames of the video
while True:
# grab the current frame and initialize the occupied/unoccupied
# text
(grabbed, frame) = camera.read()

# if the frame could not be grabbed, then we have reached the end
# of the video
if not grabbed:
break

# resize the frame, convert it to grayscale, and blur it
frame = imutils.resize(frame, width=500)
marker = find_marker(frame)
inches = distance_to_camera(KNOWN_WIDTH, focalLength, marker[1][0])

# draw a bounding box around the image and display it
box = np.int0(cv2.cv.BoxPoints(marker))
cv2.drawContours(frame, [box], -1, (0, 255, 0), 2)
cv2.putText(frame, "%.2fft" % (inches / 12),
(frame.shape[1] - 200, frame.shape[0] - 20), cv2.FONT_HERSHEY_SIMPLEX,
2.0, (0, 255, 0), 3)
cv2.imshow("Frame", frame)
cv2.waitKey(0)

但是,这是我尝试运行它时得到的输出:

Traceback (most recent call last):
File "testcam.py", line 39, in <module>
marker = find_marker(frame)
File "testcam.py", line 10, in find_marker
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
TypeError: src is not a numpy array, neither a scalar

我是 opencv 的新手,所以我不确定这个错误是什么意思..

最佳答案

你正在做的事情是

frame = cv2.VideoCapture(0)

cv2.视频捕捉(0)初始化捕获设备或相机设备以从中获取您需要调用 cap.read() 的帧,但您传递了给出错误的捕获对象

应该是

capForFocal = cv2.VideoCapture(0)
_,frame=capForFocal.read()
capForFocal.release()

关于python - Raspberry Pi OpenCV : src is not a numpy array, 既不是标量,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/34871483/

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