Memory Error

[Hout1]

Hi,
I want to use PySESA to decimated my point cloud, but python always sends me the memory problem
I used the following code and 'example_100000pts.xyz' point cloud to do a test :

import pysesa
import os
import shutil
import errno
infile = '/home/radewane/Bureau/Point-cloud-Rambla/pysesa-master/pysesa/example_100000pts.xyz'
pysesa.process(infile, 1, 4, 1, 1024, 0.05, 20, 1, 64, 1, 0)

but I still have the same problem:

memory error, using 1.0 max points
memory error, using 1.0 max points
memory error, using 1.0 max points
memory error, using 1.0 max points
memory error, using 1.0 max points
memory error, using 1.0 max points
^CTraceback (most recent call last):
File "Code111.py", line 3, in
pysesa.process(infile, 1, 4, 1, 1024, 0.05, 20, 1, 64, 1, 0)
File "/home/radewane/Bureau/Point-cloud-Rambla/local/lib/python2.7/site-packages/pysesa/_pysesa.py", line 452, in process
nr_pts = pysesa.partition(toproc, out, mxpts, minpts, prc_overlap).getdata() #res, bp
File "pysesa/partition.pyx", line 206, in pysesa.partition.partition.init
mxpts = np.max([1,mxpts-2])
File "/home/radewane/Bureau/Point-cloud-Rambla/local/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 2505, in amax
initial=initial)
File "/home/radewane/Bureau/Point-cloud-Rambla/local/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 86, in _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
KeyboardInterrupt

Can you help me solve this problem please
Thank you in advance

[dbuscombe-usgs]

@Hout1 my apologies for the delay. I have upgraded the whole package. Please try the new workflow and let me know if you have issues. The following changes have been made:

1. python 3
2. new cython modules and a simpler way to compile them
3. removed nifty package dependency, and all power spectra now computed using numpy
4. simpler and faster way to compute integral lengthscales
5. removed plotting libraries (too hard to maintain long-term)
6. removed savitsky-golay filter (overkill)
7. no option to 'smooth' the power spectrum (yielding inconsistent and sometimes bizarre results)
8. spatial statistics no longer use the Knuth and Welford algorithm
9. conda environment