blocks|key|783898|text|使用StringIO将读取的字符串转换为类似文件的对象：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|783899|from+StringIO+import+StringIO
import+urllib

Image.open(StringIO(urllib.requests.urlopen(url).read()))|code-block|syntax|javascript|783900|entityMap^0|2|8|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

Use <code>StringIO</code> to turn the read string into a file-like object:

<pre><code>from StringIO import StringIO
import urllib

Image.open(StringIO(urllib.requests.urlopen(url).read()))
</code></pre>

blocks|key|783977|text|使用StringIO|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|783978|import+urllib,+cStringIO

file+=+cStringIO.StringIO(urllib.urlopen(URL).read())
img+=+Image.open(file)|code-block|syntax|javascript|783979|entityMap^0|2|8|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

Using a <code>StringIO</code>
<pre><code>import urllib, cStringIO

file = cStringIO.StringIO(urllib.urlopen(URL).read())
img = Image.open(file)
</code></pre>

blocks|key|567863|text|使用requests|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|567864|from+PIL+import+Image
import+requests
from+StringIO+import+StringIO

response+=+requests.get(url)
img+=+Image.open(StringIO(response.content))|code-block|syntax|javascript|567865|entityMap^0|2|8|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

Using <code>requests</code>:
<pre><code>from PIL import Image
import requests
from StringIO import StringIO

response = requests.get(url)
img = Image.open(StringIO(response.content))
</code></pre>

blocks|key|567909|text|在Python3中，StringIO和cStringIO模块消失了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|567910|在Python3中，您应该使用：|567911|from+PIL+import+Image
import+requests
from+io+import+BytesIO

response+=+requests.get(url)
img+=+Image.open(BytesIO(response.content))|code-block|syntax|javascript|567912|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|L|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|M|8|@]|9|@]|A|$G|H]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

In Python3 the StringIO and cStringIO modules are gone.

In Python3 you should use:

<pre><code>from PIL import Image
import requests
from io import BytesIO

response = requests.get(url)
img = Image.open(BytesIO(response.content))
</code></pre>

blocks|key|567953|text|对于那些做一些sklearn/numpy后处理(即深度学习)的人，你可以用np.array()包装这个PIL对象。这可能会让你不必像我一样用谷歌搜索：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|567954|from+PIL+import+Image
import+requests
import+numpy+as+np
from+StringIO+import+StringIO

response+=+requests.get(url)
img+=+np.array(Image.open(StringIO(response.content)))|code-block|syntax|javascript|567955|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

For those doing some sklearn/numpy post processing (i.e. Deep learning) you can wrap the PIL object with np.array(). This might save you from having to Google it like I did: 

<pre><code>from PIL import Image
import requests
import numpy as np
from StringIO import StringIO

response = requests.get(url)
img = np.array(Image.open(StringIO(response.content)))
</code></pre>

blocks|key|784114|text|在chrome中选择图像，右键单击它，单击Copy+image+address，将其粘贴到str变量(my_url)中以读取图像：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|784115|import+shutil
import+requests

my_url+=+'https://www.washingtonian.com/wp-content/uploads/2017/06/6-30-17-goat-yoga-congressional-cemetery-1-994x559.jpg'
response+=+requests.get(my_url,+stream=True)
with+open('my_image.png',+'wb')+as+file:
++++shutil.copyfileobj(response.raw,+file)
del+response|code-block|syntax|javascript|784116|打开它；|784117|from+PIL+import+Image

img+=+Image.open('my_image.png')
img.show()|784118|entityMap^0|L|I|19|3|1F|6|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@$9|R|A|S|B|C]|$9|T|A|U|B|C]|$9|V|A|W|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|X|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|Y|8|@]|D|@]|E|$]]|$1|M|3|N|5|H|7|Z|8|@]|D|@]|E|$I|J]]|$1|O|3|-4|5|6|7|10|8|@]|D|@]|E|$]]]|P|$]]

select the image in chrome, right click on it, click on <code>Copy image address</code>, paste it into a <code>str</code> variable (<code>my_url</code>) to read the image:

<pre><code>import shutil
import requests

my_url = 'https://www.washingtonian.com/wp-content/uploads/2017/06/6-30-17-goat-yoga-congressional-cemetery-1-994x559.jpg'
response = requests.get(my_url, stream=True)
with open('my_image.png', 'wb') as file:
 shutil.copyfileobj(response.raw, file)
del response
</code></pre>

open it;

<pre><code>from PIL import Image

img = Image.open('my_image.png')
img.show()
</code></pre>

blocks|key|784167|text|Python+3|type|unstyled|depth|inlineStyleRanges|entityRanges|data|784168|from+urllib.request+import+urlopen
from+PIL+import+Image

img+=+Image.open(urlopen(url))
img|code-block|syntax|javascript|784169|Jupyter笔记本和IPython|784170|import+IPython
url+=+'https://newevolutiondesigns.com/images/freebies/colorful-background-14.jpg'
IPython.display.Image(url,+width+=+250)|784171|与其他方法不同的是，该方法还可以在for循环中工作！|784172|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|S|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

<h1>Python 3</h1>

<pre><code>from urllib.request import urlopen
from PIL import Image

img = Image.open(urlopen(url))
img
</code></pre>

<h1>Jupyter Notebook and IPython</h1>

<pre><code>import IPython
url = 'https://newevolutiondesigns.com/images/freebies/colorful-background-14.jpg'
IPython.display.Image(url, width = 250)
</code></pre>

Unlike other methods, this method also works in a for loop!

blocks|key|784204|text|在不使用PIL的情况下直接将图像作为numpy数组获取|type|unstyled|depth|inlineStyleRanges|entityRanges|data|784205|import+requests,+io
import+matplotlib.pyplot+as+plt+

response+=+requests.get(url).content
img+=+plt.imread(io.BytesIO(response),+format='JPG')
plt.imshow(img)|code-block|syntax|javascript|784206|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

To directly get image as numpy array without using PIL
<pre><code>import requests, io
import matplotlib.pyplot as plt 

response = requests.get(url).content
img = plt.imread(io.BytesIO(response), format='JPG')
plt.imshow(img)
</code></pre>

blocks|key|568168|text|使用urllib.request.urlretrieve()和PIL.Image.open()下载和读取图像数据：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|568169|导入请求|568170|导入urllib.request|568171|import+PIL
urllib.request.urlretrieve("https://i.imgur.com/ExdKOOz.png",+"sample.png")
img+=+PIL.Image.open("sample.png")
img.show()|code-block|syntax|javascript|568172|或者使用url作为要经由GET请求下载的目标文件的地址来调用requests.get(url)。调用io.BytesIO(+obj+)，将obj作为响应内容，将原始数据作为bytes对象加载。要加载图像数据，请调用PIL.Image.open(+bytes_obj+)，并将bytes_obj作为bytes对象：|568173|import+io
response+=+requests.get("https://i.imgur.com/ExdKOOz.png")
image_bytes+=+io.BytesIO(response.content)
img+=+PIL.Image.open(image_bytes)
img.show()|568174|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|S|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|T|8|@]|9|@]|A|$I|J]]|$1|K|3|L|5|6|7|U|8|@]|9|@]|A|$]]|$1|M|3|N|5|H|7|V|8|@]|9|@]|A|$I|J]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

USE urllib.request.urlretrieve() AND PIL.Image.open() TO DOWNLOAD AND READ IMAGE DATA :
import requests
import urllib.request
<pre><code>import PIL
urllib.request.urlretrieve(&quot;https://i.imgur.com/ExdKOOz.png&quot;, &quot;sample.png&quot;)
img = PIL.Image.open(&quot;sample.png&quot;)
img.show()
</code></pre>
or Call requests.get(url) with url as the address of the object file to download via a GET request. Call io.BytesIO(obj) with obj as the content of the response to load the raw data as a bytes object. To load the image data, call PIL.Image.open(bytes_obj) with bytes_obj as the bytes object:
<pre><code>import io
response = requests.get(&quot;https://i.imgur.com/ExdKOOz.png&quot;)
image_bytes = io.BytesIO(response.content)
img = PIL.Image.open(image_bytes)
img.show()
</code></pre>

blocks|key|568185|text|from+PIL+import+Image
import+cv2
import+numpy+as+np
import+requests
image=Image.open(requests.get("https://previews.123rf.com/images/darrenwhi/darrenwhi1310/darrenwhi131000024/24022179-photo-of-many-cars-with-one-a-different-color.jpg",+stream=True).raw)
#image+=resize((420,250))

image_array=np.array(image)
image+|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|568186|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

<pre><code>from PIL import Image
import cv2
import numpy as np
import requests
image=Image.open(requests.get(&quot;https://previews.123rf.com/images/darrenwhi/darrenwhi1310/darrenwhi131000024/24022179-photo-of-many-cars-with-one-a-different-color.jpg&quot;, stream=True).raw)
#image =resize((420,250))

image_array=np.array(image)
image 
</code></pre>

What I'm trying to do is fairly simple when we're dealing with a local file, but the problem comes when I try to do this with a remote URL.

Basically, I'm trying to create a PIL image object from a file pulled from a URL. Sure, I could always just fetch the URL and store it in a temp file, then open it into an image object, but that feels very inefficient.

Here's what I have:

<pre><code>Image.open(urlopen(url))
</code></pre>

It flakes out complaining that <code>seek()</code> isn't available, so then I tried this:

<pre><code>Image.open(urlopen(url).read())
</code></pre>

But that didn't work either. Is there a Better Way to do this, or is writing to a temporary file the accepted way of doing this sort of thing?

How do I read image data from a URL in Python?

深度学习

Python

当我们处理本地文件时，我尝试做的事情相当简单，但是当我尝试使用远程URL来做这件事时，问题就来了。基本上，我试图从一个从URL中拉出的文件中创建一个PIL图像对象。当然，我总是可以只获取URL并将其存储在一个临时文件中，然后将其打开到一个图像对象中，但这感觉非常低效。这就是我所拥有的：Image.open(urlope...

问如何在Python中从URL读取图像数据？
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问如何在Python中从URL读取图像数据？
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