Reputation: 7294
This is my code
from PIL import Image
pil_im = Image.open('data/empire.jpg')
I would like to do some image manipulation on it, and then show it on screen.
I am having problem with showing PIL Image in python notebook.
I have tried:
print pil_im
And just
pil_im
But both just give me:
<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=569x800 at 0x10ECA0710>
Upvotes: 227
Views: 346308
Reputation: 20553
When using PIL/Pillow, Jupyter Notebooks now have a display
built-in that will show the image directly, with no extra fuss.
display(pil_im)
Jupyter will also show the image if it is simply the last line in a cell (this has changed since the original post). Thanks to answers from @Dean and @Prabhat for pointing this out.
You can also use IPython's display
module to load the image. You can read more from the doc.
from IPython.display import Image
pil_img = Image(filename='data/empire.jpg')
display(pil_img)
As OP's requirement is to use PIL
, if you want to show inline image, you can use matplotlib.pyplot.imshow
with numpy.asarray
like this too:
from matplotlib.pyplot import imshow
import numpy as np
from PIL import Image
%matplotlib inline
pil_im = Image.open('data/empire.jpg', 'r')
imshow(np.asarray(pil_im))
If you only require a preview rather than an inline, you may just use show
like this:
pil_im = Image.open('data/empire.jpg', 'r')
pil_im.show()
Upvotes: 379
Reputation: 151
In order to simply visualize the image in a notebook you can use display()
%matplotlib inline
from PIL import Image
im = Image.open(im_path)
display(im)
Upvotes: 10
Reputation: 1
I suggest following installation by no image show img.show() (from PIL import Image)
$ sudo apt-get install imagemagick
Upvotes: -3
Reputation: 4426
much simpler in jupyter using pillow.
from PIL import Image
image0=Image.open('image.png')
image0
Upvotes: 19
Reputation: 178
You can open an image using the Image class from the package PIL and display it with plt.imshow directly.
# First import libraries.
from PIL import Image
import matplotlib.pyplot as plt
# The folliwing line is useful in Jupyter notebook
%matplotlib inline
# Open your file image using the path
img = Image.open(<path_to_image>)
# Since plt knows how to handle instance of the Image class, just input your loaded image to imshow method
plt.imshow(img)
Upvotes: 6
Reputation: 8031
A cleaner Python3 version that use standard numpy, matplotlib and PIL. Merging the answer for opening from URL.
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
pil_im = Image.open('image.jpg')
## Uncomment to open from URL
#import requests
#r = requests.get('https://www.vegvesen.no/public/webkamera/kamera?id=131206')
#pil_im = Image.open(BytesIO(r.content))
im_array = np.asarray(pil_im)
plt.imshow(im_array)
plt.show()
Upvotes: 1
Reputation: 1441
Use IPython display to render PIL images in a notebook.
from PIL import Image # to load images
from IPython.display import display # to display images
pil_im = Image.open('path/to/image.jpg')
display(pil_im)
Upvotes: 78
Reputation: 11228
Based on other answers and my tries, best experience would be first installing, pillow and scipy, then using the following starting code on your jupyter notebook:
%matplotlib inline
from matplotlib.pyplot import imshow
from scipy.misc import imread
imshow(imread('image.jpg', 1))
Upvotes: 2
Reputation: 7294
I found that this is working
# source: http://nbviewer.ipython.org/gist/deeplook/5162445
from io import BytesIO
from IPython import display
from PIL import Image
def display_pil_image(im):
"""Displayhook function for PIL Images, rendered as PNG."""
b = BytesIO()
im.save(b, format='png')
data = b.getvalue()
ip_img = display.Image(data=data, format='png', embed=True)
return ip_img._repr_png_()
# register display func with PNG formatter:
png_formatter = get_ipython().display_formatter.formatters['image/png']
dpi = png_formatter.for_type(Image.Image, display_pil_image)
After this I can just do:
pil_im
But this must be last line in cell, with no print
after it
Upvotes: 26
Reputation: 171
case python3
from PIL import Image
from IPython.display import HTML
from io import BytesIO
from base64 import b64encode
pil_im = Image.open('data/empire.jpg')
b = BytesIO()
pil_im.save(b, format='png')
HTML("<img src='data:image/png;base64,{0}'/>".format(b64encode(b.getvalue()).decode('utf-8')))
Upvotes: 17
Reputation: 3513
If you are using the pylab extension, you could convert the image to a numpy array and use matplotlib's imshow.
%pylab # only if not started with the --pylab option
imshow(array(pil_im))
EDIT: As mentioned in the comments, the pylab module is deprecated, so use the matplotlib magic instead and import the function explicitly:
%matplotlib
from matplotlib.pyplot import imshow
imshow(array(pil_im))
Upvotes: 2