getIncidenceSize_par.py:85: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj).

* deprecated from version: 3.0
* Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0
  realAraImg = araDataTemplate.get_data()
getIncidenceSize_par.py:92: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj).

* deprecated from version: 3.0
* Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0
  maskImg = maskData.get_data()
getIncidenceSize_par.py:99: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj).

* deprecated from version: 3.0
* Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0
  volumeAnno = np.round(dataAnno.get_data())
getIncidenceSize_par.py:101: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj).

* deprecated from version: 3.0
* Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0
  volumeMR = dataMR.get_data()
getIncidenceSize_par.py:137: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj).

* deprecated from version: 3.0
* Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0
  betMaskImg = betMask.get_data()
'1' folder will be proccessed...
Traceback (most recent call last):
  File "getIncidenceSize_par.py", line 257, in <module>
    incidenceMap(regMR_list,regInc_list,regANNO_list,araDataTemplate,incidenceMask,thres,outfile,labels)
  File "getIncidenceSize_par.py", line 158, in incidenceMap
    labMat = np.stack((labMat, regionAffectPercent))
  File "<__array_function__ internals>", line 6, in stack
  File "/opt/env/lib/python3.7/site-packages/numpy/core/shape_base.py", line 426, in stack
    raise ValueError('all input arrays must have the same shape')
ValueError: all input arrays must have the same shape