Traceback (most recent call last):

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ParallelProcessing/ParallelTraceback.py", line 32, in wrapper
    return func(*args, **kwargs)

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ParallelProcessing/BlockProcessing.py", line 338, in process_block_block
    result = function(*sources_and_sinks, **kwargs);

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ImageProcessing/Experts/Cells.py", line 501, in detect_cells_block
    centers = md.find_center_of_maxima(source, maxima=maxima, verbose=verbose);

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/Analysis/Measurements/MaximaDetection.py", line 201, in find_center_of_maxima
    centers = np.array(ndm.center_of_mass(source, label, index=np.arange(1, n_label)));

  File "/home/jfadmin/anaconda3/envs/ClearMap/lib/python3.7/site-packages/scipy/ndimage/measurements.py", line 1382, in center_of_mass
    normalizer = sum(input, labels, index)

  File "/home/jfadmin/anaconda3/envs/ClearMap/lib/python3.7/site-packages/scipy/ndimage/measurements.py", line 615, in sum
    count, sum = _stats(input, labels, index)

  File "/home/jfadmin/anaconda3/envs/ClearMap/lib/python3.7/site-packages/scipy/ndimage/measurements.py", line 553, in _stats
    sums = numpy.bincount(labels.ravel(), weights=input.ravel())

  File "<__array_function__ internals>", line 6, in bincount

TypeError: Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'


During handling of the above exception, another exception occurred:

Traceback (most recent call last):

  File "/home/jfadmin/ClearMap2/ClearMap2/Documentation/Test.py", line 101, in <module>
    processing_parameter=processing_parameter)

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ImageProcessing/Experts/Cells.py", line 317, in detect_cells
    results, blocks = bp.process(detect_cells_block, source, sink=None, function_type='block', return_result=True, return_blocks=True, parameter=cell_detection_parameter, **processing_parameter)

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ParallelProcessing/BlockProcessing.py", line 252, in process
    result = [func(*args) for args in zip(source_blocks, sink_blocks)]; #analysis:ignore

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ParallelProcessing/BlockProcessing.py", line 252, in <listcomp>
    result = [func(*args) for args in zip(source_blocks, sink_blocks)]; #analysis:ignore

  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ParallelProcessing/ParallelTraceback.py", line 35, in wrapper
    raise type(e)(msg)

TypeError: Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'

Original Traceback (most recent call last):
  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ParallelProcessing/ParallelTraceback.py", line 32, in wrapper
    return func(*args, **kwargs)
  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ParallelProcessing/BlockProcessing.py", line 338, in process_block_block
    result = function(*sources_and_sinks, **kwargs);
  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/ImageProcessing/Experts/Cells.py", line 501, in detect_cells_block
    centers = md.find_center_of_maxima(source, maxima=maxima, verbose=verbose);
  File "/home/jfadmin/ClearMap2/ClearMap2/ClearMap/Analysis/Measurements/MaximaDetection.py", line 201, in find_center_of_maxima
    centers = np.array(ndm.center_of_mass(source, label, index=np.arange(1, n_label)));
  File "/home/jfadmin/anaconda3/envs/ClearMap/lib/python3.7/site-packages/scipy/ndimage/measurements.py", line 1382, in center_of_mass
    normalizer = sum(input, labels, index)
  File "/home/jfadmin/anaconda3/envs/ClearMap/lib/python3.7/site-packages/scipy/ndimage/measurements.py", line 615, in sum
    count, sum = _stats(input, labels, index)
  File "/home/jfadmin/anaconda3/envs/ClearMap/lib/python3.7/site-packages/scipy/ndimage/measurements.py", line 553, in _stats
    sums = numpy.bincount(labels.ravel(), weights=input.ravel())
  File "<__array_function__ internals>", line 6, in bincount
TypeError: Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'