scikit-learn: Face recognition example is broken

When executed without alteration, the example code here throws an exception. I have confirmed that the images downloaded successfully. Using Python 2.7.6, sklearn 0.15.1, numpy 1.8.1, scipy 0.13.3

$ python face_recognition.py

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Faces recognition example using eigenfaces and SVMs
===================================================

The dataset used in this example is a preprocessed excerpt of the
"Labeled Faces in the Wild", aka LFW_:

  http://vis-www.cs.umass.edu/lfw/lfw-funneled.tgz (233MB)

.. _LFW: http://vis-www.cs.umass.edu/lfw/

Expected results for the top 5 most represented people in the dataset::

                     precision    recall  f1-score   support

  Gerhard_Schroeder       0.91      0.75      0.82        28
    Donald_Rumsfeld       0.84      0.82      0.83        33
         Tony_Blair       0.65      0.82      0.73        34
       Colin_Powell       0.78      0.88      0.83        58
      George_W_Bush       0.93      0.86      0.90       129

        avg / total       0.86      0.84      0.85       282




2014-08-26 13:30:49,451 Loading LFW people faces from /home/jim/scikit_learn_data/lfw_home
2014-08-26 13:30:49,454 Loading face #00001 / 01140
Traceback (most recent call last):
  File "eigenface.py", line 52, in <module>
    lfw_people = fetch_lfw_people(min_faces_per_person=70, resize=0.4)
  File "/usr/local/lib/python2.7/dist-packages/sklearn/datasets/lfw.py", line 277, in fetch_lfw_people
    min_faces_per_person=min_faces_per_person, color=color, slice_=slice_)
  File "/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/memory.py", line 481, in __call__
    return self._cached_call(args, kwargs)[0]
  File "/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/memory.py", line 428, in _cached_call
out, metadata = self.call(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/memory.py", line 673, in call
    output = self.func(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/sklearn/datasets/lfw.py", line 202, in _fetch_lfw_people
    faces = _load_imgs(file_paths, slice_, color, resize)
  File "/usr/local/lib/python2.7/dist-packages/sklearn/datasets/lfw.py", line 156, in _load_imgs
    face = np.asarray(imread(file_path)[slice_], dtype=np.float32)
IndexError: 0-d arrays can only use a single () or a list of newaxes (and a single ...) as an index