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Locally

ssh-keygen -t rsa -b 4096 -C "[email protected]"  # generate the SSH key
xclip -sel clip < ~/.ssh/id_rsa.pub  # send the key to che clipboard
ssh [email protected]  # SSH to storm
ssh-add

On storm

[Add the previous key to ~/.ssh/authorized_keys], then

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import numpy as np
import SampleData


def getSampleVolume():
    # Download MRHead
    sampleDataLogic = SampleData.SampleDataLogic()
    volumeNode = sampleDataLogic.downloadMRHead()
    return volumeNode

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#!/usr/bin/env python3

"""
This script prints out the revision number and bitstream ID of the latest
nightly build of 3D Slicer.
"""

import re
import sys
from sys import platform as _platform

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from glob import glob
from time import gmtime, strftime
from os.path import expanduser, splitext, basename, join, isdir
import qt, vtk, ctk, slicer
import numpy as np
import SimpleITK as sitk

ONE_BY_THREE_LAYOUT_ID = 501

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;= @echo off
;= rem Call DOSKEY and use this file as the macrofile
;= %SystemRoot%\system32\doskey /listsize=1000 /macrofile=%0%
;= rem In batch mode, jump to the end of the file
;= goto:eof
;= Add aliases below here
e.=explorer .
glol=git log --oneline --all --graph --decorate  $*
ls=ls --show-control-chars -F --color $*
pwd=cd

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import numpy as np
import matplotlib.pyplot as plt


def k_means(points, num_classes, epsilon=1e-5, plot=False):
    means = np.random.rand(num_classes, 2)
    diff_means = np.inf

    while(diff_means > epsilon):
        # Assignment step

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Requirements:

• Python
• SimpleITK
• NumPy

Install

• conda
• SimpleITK and NumPy:

conda install numpy -y

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#!/usr/bin/env python

import re
import sys
from pathlib import Path
from sys import platform as _platform
import time
import shutil
import urllib.request
import tarfile

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import numpy as np

points = vtk.vtkPoints()
vertices = vtk.vtkCellArray()

sizes = vtk.vtkFloatArray()
sizes.SetName('Sizes')

colors = vtk.vtkFloatArray()
colors.SetName('Colors')