ImportError: Could not import the Python Imaging Library (PIL) required to load image files on tensorflow

Muneeb Ul HaXan picture Muneeb Ul HaXan · Dec 13, 2016 · Viewed 78.4k times · Source

I am doing a deep learning course on udacity. For the first assignment whenI tried to run the script which is below the problem 1 , I got this error. So I tried to uninstall PIL and pillow and then installed these individually but I didnot succeeded. I need help guy. I am using tensorflow docker image with python notebook.

# These are all the modules we'll be using later. Make sure you can import them
# before proceeding further.
from __future__ import print_function
import matplotlib.pyplot as plt
import numpy as np
import os
import sys
import scipy
import tarfile
from IPython.display import display, Image
from scipy import ndimage
from sklearn.linear_model import LogisticRegression
from six.moves.urllib.request import urlretrieve
from six.moves import cPickle as pickle
# Config the matplotlib backend as plotting inline in IPython
%matplotlib inline 

url = 'http://commondatastorage.googleapis.com/books1000/'
last_percent_reported = None

def download_progress_hook(count, blockSize, totalSize):
    percent = int(count * blockSize * 100 / totalSize)

   if last_percent_reported != percent:
     if percent % 5 == 0:
  sys.stdout.write("%s%%" % percent)
  sys.stdout.flush()
else:
  sys.stdout.write(".")
  sys.stdout.flush()

last_percent_reported = percent

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/udacity/1_notmnist.ipynb

You can see the code here. I got error in the code block after problem 1 Error Image

I tried each and everything describe here in these two links or solutions:

Solution 1 on stackoverflow

Solution 2 on stackoverflow

Operating System:

using docker and tensorflow is installed in a container with IPython notebook.

The output from python -c "import tensorflow; print(tensorflow.version)".

0.11.0

Answer

Yohanna picture Yohanna · Mar 28, 2017

pip install pillow

Then replace from IPython.display import display, Image with from IPython.display import display from PIL import Image