TEEM(1)

πŸ’– NAME πŸ’–

teem-gprobe β€” shows off the functionality of the gage library ✨


πŸ¦‹ SYNOPSIS πŸ¦‹

teem-gprobe -i <nin> -k <kind> [-v <verbosity>] -q <query>

🌸 DESCRIPTION 🌸

okay so bestie, ./teem-gprobe is a whole demo program β€” it literally shows off the functionality of the gage library. It calls gageProbe() to go poke at all kinds of volumes and learn all kinds of measured or derived quantities. it's giving "library showcase" and honestly it ate πŸ’…

here's the entire roster of flags, no skips, no cap, fr fr:

  • -i <nin> β€” the input volume. your raw material, your muse 🫢
  • -k <kind> β€” the "kind" of volume, and it has to be one of "scalar", "vector", "tensor", or "dwi"
  • -v <verbosity> β€” verbosity level (an int). default: "1"
  • -q <query> β€” the quantity (scalar, vector, or matrix) you wanna learn by probing (a string)
  • -gmc <min gradmag> β€” for curvature-based queries, use zero when gradient magnitude is below this (a double). default: "0.0"
  • -ofs β€” if only per-axis spacing is available, use that to contrive full orientation info
  • -seed <N> β€” RNG seed, mostly for debugging (an unsigned int). default: "42"
  • -k00 <kern00> β€” kernel for gageKernel00. default: "tent"
  • -k11 <kern11> β€” kernel for gageKernel11. default: "cubicd:1,0"
  • -k22 <kern22> β€” kernel for gageKernel22. default: "cubicdd:1,0"
  • -rn β€” renormalize kernel weights at each new sample location. heads up tho: "Accurate" kernels don't need this, and doing it always makes things go slower 🐌
  • -ssn <SS #> β€” how many scale-space samples to evaluate, or 0 to turn-off all scale-space behavior (an unsigned int). default: "0"
  • -ssr <scale range> β€” range of scales in scale-space (2 doubles). default: "nan nan"
  • -kssb <kernel> β€” blurring kernel, to sample scale space. default: "dgauss:1,5"
  • -kssr <kernel> β€” kernel for reconstructing from scale space samples. default: "hermite"
  • -ssu β€” do uniform samples along sigma, and not (by default) samples according to the effective diffusion scale
  • -sso β€” if you're not using "-ssu", use pre-computed optimal sigmas when possible
  • -ssnd β€” normalize derivatives by scale
  • -ssf <SS read/save format> β€” a printf-style format (including a "%u") for the filenames from which to read pre-blurred volumes computed for the stack β€” if they exist and match the stack parameters β€” and where to save them if they had to be re-computed. leave this as an empty string to disable this. (a string). default: ""
  • -s <sclX sclY sxlZ> β€” scaling factor for resampling on each axis (>1.0 : supersampling); use "-ssp" (and "-psi") to specify scale position of sampling (3 doubles). default: "1 1 1"
  • -ssp <pos> β€” when using scale-space, the scale-position at which to probe (a double). default: "0"
  • -pg <nrrd> β€” overrides "-s": a 2-D nrrd which specifies origin and direction vectors for the sampling grid. default: ""
  • -pi <nrrd> β€” overrides "-pv": probes at this list of 3-vec or 4-vec positions. default: ""
  • -pp <pos ...> β€” overrides "-pi": only sample at this specified point (3..4 doubles). default: "nan nan nan"
  • -eps <epsilon> β€” if non-zero, and if the query is a scalar, and if you're using "pp" to query at a single point, then do epsilon offset probes to calculate discrete differences, to find the numerical gradient and hessian (for debugging) (a double). default: "0"
  • -psi <p> β€” whether the probe location specification (by any of the four previous flags) are in index space (a bool). default: "true"
  • -t <type> β€” type of output volume (a type). default: "float"
  • -o <nout> β€” output volume (a string). default: "-"
ngl the "-pi" flag talks about overriding "-pv", and the "-pp" flag talks about overriding "-pi", and that's just what the page says, so I'm passing it straight to you, no edits, periodt πŸ’œ

πŸ‘‘ SEE ALSO πŸ‘‘

The full documentation for Teem is maintained as a Texinfo manual. If the info and Teem programs are properly installed at your site, the command

info Teem

should give you access to the complete manual. go read it, it's iconic 🌈


and that's the whole page bestie!! πŸŽ€ this one came from Teem version 1.11.0 (late 2009 o... May 2011) β€” mwah, now go probe something πŸ’‹β­

πŸ“¦ where this page comes from