CODEWITHSUNDEEP
pythonpython-3.xpython-requestspython-imaging-library
Mr.Leon
Mr.Leon

Reputation: 154

Only one image from 5 is downloaded and it knocks out an error

import requests
from PIL import Image

url_shoes_for_choice = [
    "https://content.adidas.co.in/static/Product-CM7531/Unisex_OUTDOOR_SANDALS_CM7531_1.jpg",
    "https://cdn.shopify.com/s/files/1/0080/1374/2161/products/product-image-897958210_640x.jpg?v=1571713841",
    "https://cdn.chamaripashoes.com/media/catalog/product/cache/9/image/9df78eab33525d08d6e5fb8d27136e95/1/_/1_8_3.jpg",
    "https://ae01.alicdn.com/kf/HTB1EyKjaI_vK1Rjy0Foq6xIxVXah.jpg_q50.jpg",
    "https://www.converse.com/dw/image/v2/BCZC_PRD/on/demandware.static/-/Sites-cnv-master-catalog/default/dwb9eb8c43/images/a_107/167708C_A_107X1.jpg"
]

def img():
    for url in url_shoes_for_choice:
        image = requests.get(url, stream=True).raw
        out = Image.open(image)
        out.save('image/image.jpg', 'jpg')

if __name__=="__main__":
    img()

Error:

OSError: cannot identify image file <_io.BytesIO object at 0x7fa185c52d58>

Upvotes: 2

Views: 113

Answers (2)

Saad
Saad

Reputation: 3430

The problem is that one of the images is making issues with the byte data returned by the requests.get(url, stream=True).raw, I'm not sure but I guess the data of the 3rd image is invalid byte data so instead of getting the raw data we can just fetch the content and then by using BytesIO we can fix the byte data.

I fixed one more thing from your original code, I added numbering to your images so each can be saved with different name.

from io import BytesIO

def img():
    for count, url in enumerate(url_shoes_for_choice):
        image = requests.get(url, stream=True)

        with BytesIO(image.content) as f:
            with Image.open(f) as out:
                # out.show()  # See the images 
                out.save('image/image{}.jpg'.format(count))

(Though this works fine but I'm not sure what was the main issue. If anyone knows exactly what is the issue please comment and explain.)

Upvotes: 1

lucidbrot
lucidbrot

Reputation: 6156

I opened the first link in my browser and saved the image. It's actually a webp file.

$ file Unisex_OUTDOOR_SANDALS_CM7531_1.webp
Unisex_OUTDOOR_SANDALS_CM7531_1.webp: RIFF (little-endian) data, Web/P image, VP8 encoding, 500x500, Scaling: [none]x[none], YUV color, decoders should clamp

You explicitly tell the image library that it should expect a jpg. When you remove that parameter and let it figure it out on its own using out.save('image/image.jpg') the first image successfully downloads for me.

The first two images work this way if you make sure to save each under a different name:

def img():
    i = 0
    for url in url_shoes_for_choice:
        i+=1
        image = requests.get(url, stream=True).raw
        out = Image.open(image)
        out.save('image{}.jpg'.format(i))

the third is a valid jpeg file, as well as the fourth, but using the JFIF standard 1.01 which I hear the first time of. I'm pretty sure you'll have to figure out support for different such filetypes.

It is worth noting that if I download the images in chrome and open those with python, nothing fails. So chrome might be adding information to the file.

The documentation of PIL/pillow explains here that you need a new enough version for animated images, but that is not your problem.

Support for animated WebP files will only be enabled if the system WebP library is v0.5.0 or later. You can check webp animation support at runtime by calling features.check(“webp_anim”).

Upvotes: 0

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