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teem-vprobe - Online in the Cloud

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This is the command teem-vprobe that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

NAME


teem-vprobe - Shows off the functionality of the gage library.

SYNOPSIS


teem-vprobe -i <nin> -k <kind> [-v <verbosity>] -q <query> [-s <sclX \fR

DESCRIPTION


Uses gageProbe() to query various kinds of volumes to learn various measured or derived
quantities. Can set environment variable TEEM_VPROBE_HACK_ZI to limit probing to a single
z slice.

sclY sxlZ>] [-k00 <kern00>] [-k11 <kern11>] [-k22 <kern22>] [-seed <N>] \ [-ssn <SS
#>] [-ssr <scale range>] [-sss <scale save path>] [-ssw <SS \ pos>] [-kssblur
<kernel>] [-kss <kernel>] [-ssrn <ssrn>] [-ssu] [-rn] \ [-gmc <min gradmag>] [-t
<type>] [-o <nout>]

-i <nin> = input volume

-k <kind> = "kind" of volume ("scalar", "vector", "tensor", or

"dwi")

-v <verbosity> = verbosity level (int); default: "1"

-q <query> = the quantity (scalar, vector, or matrix) to learn by

probing (string)

-s <sclX sclY sxlZ> = scaling factor for resampling on each axis (>1.0 :
supersampling) (3 doubles); default: "1.0 1.0 1.0"

-k00 <kern00> = kernel for gageKernel00; default: "tent"

-k11 <kern11> = kernel for gageKernel11; default: "cubicd:1,0"

-k22 <kern22> = kernel for gageKernel22; default: "cubicdd:1,0"

-seed <N> = RNG seed; mostly for debugging (unsigned int);

default: "42"

-ssn <SS #> = how many scale-space samples to evaluate, or, 0 to

turn-off all scale-space behavior (unsigned int); default: "0"

-ssr <scale range> = range of scales in scale-space (2 doubles);
default: "nan nan"

-sss <scale save path> = give a non-empty path string (like "./") to save out

the pre-blurred volumes computed for the stack (string); default: ""

-ssw <SS pos> = "world"-space position (true sigma) at which to
sample in scale-space (double); default: "0"

-kssblur <kernel> = blurring kernel, to sample scale space;
default: "dgauss:1,5"

-kss <kernel> = kernel for reconstructing from scale space samples;
default: "tent"

-ssrn <ssrn> = enable derivative normalization based on scale space
(int); default: "0"

-ssu = do uniform samples along sigma, and not (by default)

samples according to the logarithm of diffusion time

-rn = renormalize kernel weights at each new sample

location. "Accurate" kernels don't need this; doing it always makes things go
slower

-gmc <min gradmag> = For curvature-based queries, use zero when gradient
magnitude is below this (double); default: "0.0"

-t <type> = type of output volume (type); default: "float" -o <nout> = output
volume (string); default: "-"

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