如何使用基本身份验证从 url 中读取 cv2.imread

Question

I am trying to use cv2 and pyzbar for real time reading of QR codes from an IP camera.

This works:

os.system("wget --quiet http://user:password@url -O file.jpg")
image = cv2.imread("file.jpg")
barcodes = pyzbar.decode(image)

But it's clearly inefficient - much better to imread the url directly. But I can't work out how to do that with basic authentication. Would really appreciate some help.

(There have been a number of similar questions but I can't find any that have been answered!)

thanks

Dan

Answer 1

or there's this alternative simple solution that doesn't involve streaming the video:

from requests.auth import HTTPBasicAuth
import numpy as np

resp = requests.get(url, auth=(user, password))

image = np.asarray(bytearray(resp.content), dtype="uint8")
image = cv2.imdecode(image, cv2.IMREAD_COLOR)

Hope it helps other people!

Answer 2

this may help you

import numpy as np
import urllib.request as rq
import cv2
from matplotlib import pyplot as plt

# load image from url
def urlToImage(url):
    # download image,convert to a NumPy array,and read it into opencv
    resp = rq.urlopen(url)
    img = np.asarray(bytearray(resp.read()),dtype="uint8")
    img = cv2.imdecode(img,cv2.IMREAD_COLOR)

    #return the image
    return img
img = urlToImage("https://www.pyimagesearch.com/wp-content/uploads/2015/01/google_logo.png")
plt.imshow(img)

Answer 3

Thanks all - but turns out there is a nice simple answer:

cap=cv2.VideoCapture("http://user:password@url")
_, image=cap.read()
barcodes = pyzbar.decode(image)