KeyError: 'Fitted_Face'

[TianaCo]

When running the 4th box of "1. Building an "in-the-wild" texture model":

%matplotlib inline img, feat, fit_trimesh_3d = imgs_features_and_fits[100]

it returns:
KeyError:'Fitted_Face'

Everything else seems to be working

`---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
in ()
1 get_ipython().run_line_magic('matplotlib', 'inline')
2 # Let's test one.
----> 3 img, feat, fit_trimesh_3d = imgs_features_and_fits[100]
4
5 # Visual check that everything looks sensible

~/anaconda3/envs/menpo/lib/python3.5/site-packages/menpo/base.py in getitem(self, slice_)
495 elif isinstance(slice_, int) or hasattr(slice_, 'index'):
496 # PEP 357 and single integer index access - returns element
--> 497 return self._callablesslice_
498 else:
499 # A slice or unknown type is passed - let List handle it

~/anaconda3/envs/menpo/lib/python3.5/site-packages/menpo/base.py in delayed(delay_f, delay_x)
583 # is passed the actual instantiated object and not the callable itself.
584 def delayed(delay_f, delay_x):
--> 585 return delay_f(delay_x())
586
587 if isinstance(f, collections.Iterable) and callable(f):

in load_data_with_feature_sample(img_path, err_proportion)
26
27 def load_data_with_feature_sample(img_path, err_proportion=0.0001):
---> 28 img, fit_trimesh_3d = load_img_and_fit(img_path)
29
30 # rescale the image to the diagonal range we are using

in load_img_and_fit(img_path)
20
21 img = mio.import_image(img_path).as_greyscale()
---> 22 raw_3d_fit = sio.loadmat(str(fit_path))['Fitted_Face']
23 fit_trimesh_3d = convert_raw_3d_fit_to_img_trimesh_fit(raw_3d_fit, img)
24 return img, fit_trimesh_3d

KeyError: 'Fitted_Face'
`