TEND-EVAL(1)

💅 TEND-EVAL(1) — User Commands, bestie

okay so real talk, <rainbow>tend-eval</rainbow> is the little icon that pulls eigenvalues out of a DT volume. Like, you've got a diffusion tensor volume sitting there, and you're like "girl, which eigenvalues are we even saving" — and this is the command that answers. 🧚✨

✨ NAME ✨

tend-eval — calculate one or more eigenvalues in a DT volume 💖

like, literally that's the whole job. one eigenvalue? cute. three? also fine. she's flexible.

🎀 SYNOPSIS 🎀

tend eval -c <c0 ...> [-t <thresh>] [-i <nin>] [-o <nout>]

ngl the synopsis is giving "short and iconic" — you run tend eval, you tell it which eigenvalues you want with -c, and everything else is optional. periodt. 👑

🌸 OPTIONS 🌸

• -c <c0 ...> — the main character of this whole page, fr fr. this is where you say which eigenvalues should be saved out. the code is: “0” for the largest, “1” for the middle, “2” for the smallest. want more than one? you can do “0 1”, “1 2”, “0 1 2”, or something similar — basically any combo of 1..3 ints. go off. 🦋
• -t <thresh> — the confidence threshold, and she's a float. default: “0.5”. so if you don't say anything, she's already at 0.5 and living her life. 💜
• -i <nin> — the input diffusion tensor volume. default: “-”. so if you don't pass anything, she reads from the usual place (the dash, iykyk). 📥
• -o <nout> — the output image, and heads up, it's floating point (string). default: “-”. no -o? she's writing out to - and not making it a whole thing. 💾

🫶 quick vibe check bestie: -c is the only one you gotta bring. everything else has a default and will just do its thing. no cap.

👀 SEE ALSO 👀

• tend(1)
• tend-evec(1)

go read those too, they're iconic in their own right. 💅

and that's the whole page, bestie!! this one was written back in April 2021, part of the User Commands situation, and she still eats. mwah. 🎀✨💖