由于scipy的imread已弃用，请使用imageio.imread。

Install - pip安装imageio 使用height, width, channels = imageio.imread(filepath).shape

注意，PIL不会应用EXIF旋转信息(至少到v7.1.1;在许多jpg中使用)。一个快速修复来适应这个:

def get_image_dims(file_path):
    from PIL import Image as pilim
    im = pilim.open(file_path)
    # returns (w,h) after rotation-correction
    return im.size if im._getexif().get(274,0) < 5 else im.size[::-1]

这是一个完整的例子，从URL加载图像，创建PIL，打印大小和调整大小…

import requests
h = { 'User-Agent': 'Neo'}
r = requests.get("https://images.freeimages.com/images/large-previews/85c/football-1442407.jpg", headers=h)

from PIL import Image
from io import BytesIO
# create image from binary content
i = Image.open(BytesIO(r.content))


width, height = i.size
print(width, height)
i = i.resize((100,100))
display(i)

由于scipy的imread已弃用，请使用imageio.imread。

Install - pip安装imageio 使用height, width, channels = imageio.imread(filepath).shape

下面是在Python 3中从给定的URL获取图像大小的方法:

from PIL import Image
import urllib.request
from io import BytesIO

file = BytesIO(urllib.request.urlopen('http://getwallpapers.com/wallpaper/full/b/8/d/32803.jpg').read())
im = Image.open(file)
width, height = im.size

以下给出了维度和渠道:

import numpy as np
from PIL import Image

with Image.open(filepath) as img:
    shape = np.array(img).shape