41

How can I read an image from an Internet URL in Python cv2?

This Stack Overflow answer,

import cv2.cv as cv
import urllib2
from cStringIO import StringIO
import PIL.Image as pil
url="some_url"

img_file = urllib2.urlopen(url)
im = StringIO(img_file.read())

is not good because Python reported to me:

TypeError: object.__new__(cStringIO.StringI) is not safe, use cStringIO.StringI.__new__
Peter Mortensen
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postgres
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6 Answers6

50

Since a cv2 image is not a string (save a Unicode one, yucc), but a NumPy array, - use cv2 and NumPy to achieve it:

import cv2
import urllib
import numpy as np

req = urllib.urlopen('http://answers.opencv.org/upfiles/logo_2.png')
arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
img = cv2.imdecode(arr, -1) # 'Load it as it is'

cv2.imshow('lalala', img)
if cv2.waitKey() & 0xff == 27: quit()
Peter Mortensen
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berak
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    ok it works, but after that, i use also scikit image library: imgbnbin = mh.morph.dilate(gray, disk7) and i get: ValueError: morph.get_structuring_elem: Bc does not have the correct number of dimensions. Using local images i do not get this error, why now? – postgres Jan 11 '14 at 12:41
  • Using a local image my script works fine both with cv2 and scikit image libraries. Using url images and the code above my script is blocked when i start to work with scikit image: imgbnbin = mh.morph.dilate(gray, disk7) by a ValueError. I add only your code and used a "url image", so i do not figure out the Value Error. maybe url image is treated in a different way that scikit does not undestand? – postgres Jan 11 '14 at 12:53
  • oh, sorry. understand your problem, but no idea. – berak Jan 11 '14 at 12:56
  • maybe, i think by "url version" generate a 3d numpy array and i need a 2D numpy array! – postgres Jan 13 '14 at 11:29
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    it's a 3d array becaus of the color channels. if you want it 2d(grayscale), do : cv2.imdecode(arr,0) # load as grayscale – berak Jan 13 '14 at 11:53
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    In Python 3, the `urllib.urlopen` does not work, says that `urllib has no method named urlopen`. It should be `urllib.request.urlopen()`. – Puspam Jul 12 '20 at 17:49
  • if you want 3D array, change `img` to this `img = cv2.imdecode(arr, cv2.IMREAD_COLOR)` – Sabzaliev Shukur Mar 01 '22 at 17:13
  • For *Python3* you would need to open URL as such import urllib.request req = urllib.request.urlopen(url) – sanster9292 May 03 '22 at 00:32
40

The following reads the image directly into a NumPy array:

from skimage import io

image = io.imread('https://raw2.github.com/scikit-image/scikit-image.github.com/master/_static/img/logo.png')
Peter Mortensen
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Tony S Yu
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16

in python3:

from urllib.request import urlopen
def url_to_image(url, readFlag=cv2.IMREAD_COLOR):
    # download the image, convert it to a NumPy array, and then read
    # it into OpenCV format
    resp = urlopen(url)
    image = np.asarray(bytearray(resp.read()), dtype="uint8")
    image = cv2.imdecode(image, readFlag)

    # return the image
    return image

this is the implementation of url_to_image in imutils, so you can just call

import imutils
imutils.url_to_image(url)
Kelvin Wang
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  • readFlag=cv2.IMREAD_COLOR is essential when trying to compare between a remote and a local images that were the same. With -1 shapes of images were different. Thanks a lot! – LaintalAy Nov 14 '19 at 12:56
0

If you're using requests, you can use this

import requests
import numpy as np
from io import BytesIO
from PIL import Image

def url_to_img(url, save_as=''):
  img = Image.open(BytesIO(requests.get(url).content))
  if save_as:
    img.save(save_as)
  return np.array(img)

img = url_to_img('https://xxxxxxxxxxxxxxxxxx')
img = url_to_img('https://xxxxxxxxxxxxxxxxxx', 'sample.jpg')

cv2.imshow(img)
rish_hyun
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0

Using requests:

def url_to_numpy(url):                     
  img = Image.open(BytesIO(requests.get(url).content))                                 
  return cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
GeneralJMan Xjjice
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0

Updated Answer

import urllib
import cv2 as cv2
import numpy as np

url = "https://pyimagesearch.com/wp-content/uploads/2015/01/opencv_logo.png"
url_response = urllib.request.urlopen(url)
img_array = np.array(bytearray(url_response.read()), dtype=np.uint8)
img = cv2.imdecode(img_array, -1)
cv2.imshow('URL Image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Ajay Mall
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