LIDC experiment preprocessing: target shape error

[tiulpin]

I tried to run preprocessing.py for LIDC experiment and got the following error:

...
processing 0335a with GT(s) single_annotator and merged, spacing (0.71484375, 0.71484375, 1.0) and img shape (300, 512, 512).
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
  File "preprocessing.py", line 63, in resample_array
    assert target_shape[i] > 0
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 119, in worker
    result = (True, func(*args, **kwds))
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 44, in mapstar
    return list(map(*args))
  File "preprocessing.py", line 394, in pp_patient
    img_arr = resample_array(img_arr, img.GetSpacing(), self.cf.target_spacing)
  File "preprocessing.py", line 65, in resample_array
    raise AssertionError("AssertionError:", src_imgs.shape, src_spacing, target_spacing)
AssertionError: ('AssertionError:', (1, 512, 512), array([ 2., 30.,  1.]), (0.7, 0.7, 1.25))
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "preprocessing.py", line 470, in <module>
    pp.iterate_patients(processes=8)
  File "preprocessing.py", line 412, in iterate_patients
    pool.map(self.pp_patient, self.paths, chunksize=1)
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 266, in map
    return self._map_async(func, iterable, mapstar, chunksize).get()
  File "/usr/lib/python3.6/multiprocessing/pool.py", line 644, in get
    raise self._value
AssertionError: ('AssertionError:', (1, 512, 512), array([ 2., 30.,  1.]), (0.7, 0.7, 1.25))

Got preprocessed data with https://github.com/MIC-DKFZ/LIDC-IDRI-processing/tree/v1.0.1.

What am I doing wrong?