package tiny_libs
sectionYPositions = computeSectionYPositions($el), 10)"
x-init="setTimeout(() => sectionYPositions = computeSectionYPositions($el), 10)"
>
From-scratch libraries for teaching: graphics, audio, compression, crypto, networking and more
Install
dune-project
Dependency
Authors
Maintainers
Sources
0.3.6.tar.gz
md5=7c636383d146d30ac6f2fa234a6253c8
sha512=c79f3823c5f8f57e5038eb640d487c61168b84aa07c61999d6622ef9fd0c890e2b03b4c6a7cdbbe9352a49e25dda00ac7bb14693cee8e3d7beeed251351a2af0
doc/src/tiny_libs.graphics_imaging/Median.ml.html
Source file Median.ml
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35(* Claude Code * * Copyright (C) 2026 Yoann Padioleau * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Library General Public License * (LGPL) as published by the Free Software Foundation; either version * 2 of the License, or (at your option) any later version. *) (* See Median.mli *) let median ~(radius : int) (img : Pixels.image) : Pixels.image = let out = Pixels.copy img in let side = (2 * radius) + 1 in (* a histogram of the window, and the value where half is reached: no sort, 256 counts *) let counts = Array.make 256 0 in let half = (side * side / 2) + 1 in for y = 0 to img.height - 1 do for x = 0 to img.width - 1 do for c = 0 to 2 do Array.fill counts 0 256 0; for j = -radius to radius do for i = -radius to radius do let v = Pixels.get img (x + i) (y + j) c in counts.(v) <- counts.(v) + 1 done done; let rec find v seen = let seen = seen + counts.(v) in if seen >= half then v else find (v + 1) seen in Pixels.set out x y c (find 0 0) done done done; out
sectionYPositions = computeSectionYPositions($el), 10)"
x-init="setTimeout(() => sectionYPositions = computeSectionYPositions($el), 10)"
>