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Traceback (most recent call last):
File "table.py", line 209, in
rboxes,ColsLines,RowsLines = get_table_ceilboxes(img,prob=0.5,row=10,col=10,alph=10)
File "table.py", line 173, in get_table_ceilboxes
RowsLines,ColsLines=get_table_rowcols(img,prob,row,col)
File "table.py", line 94, in get_table_rowcols
xmin,xmax = indX.min(),indX.max()
File "/home/ubuntu/anaconda3/envs/ai/lib/python3.6/site-packages/numpy/core/_methods.py", line 32, in _amin
return umr_minimum(a, axis, None, out, keepdims, initial)
ValueError: zero-size array to reduction operation minimum which has no identity
The text was updated successfully, but these errors were encountered:
Traceback (most recent call last):
File "table.py", line 209, in
rboxes,ColsLines,RowsLines = get_table_ceilboxes(img,prob=0.5,row=10,col=10,alph=10)
File "table.py", line 173, in get_table_ceilboxes
RowsLines,ColsLines=get_table_rowcols(img,prob,row,col)
File "table.py", line 94, in get_table_rowcols
xmin,xmax = indX.min(),indX.max()
File "/home/ubuntu/anaconda3/envs/ai/lib/python3.6/site-packages/numpy/core/_methods.py", line 32, in _amin
return umr_minimum(a, axis, None, out, keepdims, initial)
ValueError: zero-size array to reduction operation minimum which has no identity
The text was updated successfully, but these errors were encountered: