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*Runs GRBL: https://github.com/grbl/grbl
=Process===Calibration==Not used.
*Chessboard detection with OpenCV, to estimate intrinsic and extrinsic camera parameters:
[[File:detected.png|400px]]
[[File:detected_distant.png|400px]]
==Stitching==
*Stitching wth OpenCV in python.
*Process:
*recentering warped images with imagemagick:
<pre>convert warp*.jpg -gravity center -background black -extent 1542x1140 recentered/output.jpg</pre>
==Recombination==
*Recombining warped, centered images.
*Results below sum 1 row of 24 images, from initial set of 432 images (24 x 18) with 1.0 offset in each direction.
[[File:lf_toolbox.png|400px]]
[[File:lf_near.png|400px]]
==Home==
*Homea, homeb, 41.375 inches
*separation 46 in
*sample space: 36 x 24
*increment: 36, 24
==Acquisition==
*Setup:
**separation: 57.25
</syntaxhighlight>
==Multithreaded Alignment==
*if you acquired jpgs, convert them to pngs:
<syntaxhighlight lang="bash">
</syntaxhighlight>
==Contact Sheet==
*Create thumbnails:
<syntaxhighlight lang="bash">
</syntaxhighlight>
==Plenoptic Home==
576 co-registered images, acquired with the photo gantry.
{{#ev:youtube|N7-vxJ19-hw|800}}
==GRBL setup==
<pre>
$0=14.000 (x, step/mm)