TEND-EXPAND(1)

💖 TEND-EXPAND(1) 💖

okay bestie, welcome to tend-expand, the little tool that takes your masked non-redundant tensor images and makes them redundant. she's giving glow-up but for tensors, no cap. this is a User Command and it's literally about to be your new fave.

✨ NAME ✨

tend-expand — converts masked non-redundant tensor images to redundant

🌸 SYNOPSIS 🌸

tend expand [-t <thresh>] [-s <scale>] [ -unmf ] [ -ro ] [ -roo ] [-i <nin>] [-o <nout>]

🦋 DESCRIPTION 🦋

So here's the vibe: tend-expand converts masked non-redundant tensor images into redundant ones. iconic, right?

For images of 3D tensors, this converts from a 7-value tensor that starts with the confidence/mask value — (conf, Dxx, Dxy, Dxz, Dyy, Dyz, Dzz) — into a 9-value tensor with the full matrix, which looks like (Dxx, Dxy, Dxz, Dxy, Dyy, Dyz, Dxz, Dyz, Dzz). And the way that it gets set to all zeros when the confidence is below the given threshold?? chef's kiss, that's the whole point.

For images of 2D tensors, the conversion goes from (conf, Dxx, Dxy, Dyy) to (Dxx, Dxy, Dxy, Dyy). simple, clean, slay.

💅 OPTIONS 💅

• -t <thresh> — the confidence level you threshold output tensors at. should be between 0.0 and 1.0. it's a float, and the default is "0.5". periodt.
• -s <scale> — how to scale values before saving as a 9-value tensor. lowkey useful for visualization tools that assume certain characteristic ranges of eigenvalues. it's a float, and the default is "1.0". 💖
• -unmf — apply and remove the measurement frame, if it exists. if it exists bestie, if it exists.
• -ro — reduce general image orientation to axis-aligned spacings. very demure, very axis-aligned.
• -roo — reduce general image orientation to axis-aligned spacings, while also making some effort to set axis mins from space origin. she does a little extra, as a treat.
• -i <nin> — the input diffusion tensor volume, with 7 values per sample. default is "-".
• -o <nout> — the output tensor volume, with the 9 matrix components per sample. it's a string. go off.

👑 SEE ALSO 👑

tend(1), tend-shrink(1)

okay that's the whole page bestie, you ate it up fr fr 💖 this was User Commands material, TEND-EXPAND(1), dated April 2021 — mwah, go expand some tensors, ily 🫶✨🎀