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Justin Lin 2020-04-03 17:29:35 +08:00
parent d8b5f036db
commit fe6b207e91
2 changed files with 19 additions and 19 deletions
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20
src/experimental/voronoi_cube.scad
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@ -1,12 +1,12 @@
use <__comm__/__angy_angz.scad>;
// slow but workable
module voronoi_cube(size, cell_w, seed, spacing = 1) {
module voronoi_cube(size, grid_w, seed, spacing = 1) {
_noise_table = [0.592157, 0.627451, 0.537255, 0.356863, 0.352941, 0.0588235, 0.513725, 0.0509804, 0.788235, 0.372549, 0.376471, 0.207843, 0.760784, 0.913725, 0.027451, 0.882353, 0.54902, 0.141176, 0.403922, 0.117647, 0.270588, 0.556863, 0.0313725, 0.388235, 0.145098, 0.941176, 0.0823529, 0.0392157, 0.0901961, 0.745098, 0.0235294, 0.580392, 0.968627, 0.470588, 0.917647, 0.294118, 0, 0.101961, 0.772549, 0.243137, 0.368627, 0.988235, 0.858824, 0.796078, 0.458824, 0.137255, 0.0431373, 0.12549, 0.223529, 0.694118, 0.129412, 0.345098, 0.929412, 0.584314, 0.219608, 0.341176, 0.682353, 0.0784314, 0.490196, 0.533333, 0.670588, 0.658824, 0.266667, 0.686275, 0.290196, 0.647059, 0.278431, 0.52549, 0.545098, 0.188235, 0.105882, 0.65098, 0.301961, 0.572549, 0.619608, 0.905882, 0.32549, 0.435294, 0.898039, 0.478431, 0.235294, 0.827451, 0.521569, 0.901961, 0.862745, 0.411765, 0.360784, 0.160784, 0.215686, 0.180392, 0.960784, 0.156863, 0.956863, 0.4, 0.560784, 0.211765, 0.254902, 0.0980392, 0.247059, 0.631373, 0.00392157, 0.847059, 0.313725, 0.286275, 0.819608, 0.298039, 0.517647, 0.733333, 0.815686, 0.34902, 0.0705882, 0.662745, 0.784314, 0.768627, 0.529412, 0.509804, 0.454902, 0.737255, 0.623529, 0.337255, 0.643137, 0.392157, 0.427451, 0.776471, 0.678431, 0.729412, 0.0117647, 0.25098, 0.203922, 0.85098, 0.886275, 0.980392, 0.486275, 0.482353, 0.0196078, 0.792157, 0.14902, 0.576471, 0.462745, 0.494118, 1, 0.321569, 0.333333, 0.831373, 0.811765, 0.807843, 0.231373, 0.890196, 0.184314, 0.0627451, 0.227451, 0.0666667, 0.713725, 0.741176, 0.109804, 0.164706, 0.87451, 0.717647, 0.666667, 0.835294, 0.466667, 0.972549, 0.596078, 0.00784314, 0.172549, 0.603922, 0.639216, 0.27451, 0.866667, 0.6, 0.396078, 0.607843, 0.654902, 0.168627, 0.67451, 0.0352941, 0.505882, 0.0862745, 0.152941, 0.992157, 0.0745098, 0.384314, 0.423529, 0.431373, 0.309804, 0.443137, 0.878431, 0.909804, 0.698039, 0.72549, 0.439216, 0.407843, 0.854902, 0.964706, 0.380392, 0.894118, 0.984314, 0.133333, 0.94902, 0.756863, 0.933333, 0.823529, 0.564706, 0.0470588, 0.74902, 0.701961, 0.635294, 0.945098, 0.317647, 0.2, 0.568627, 0.921569, 0.976471, 0.054902, 0.937255, 0.419608, 0.192157, 0.752941, 0.839216, 0.121569, 0.709804, 0.780392, 0.415686, 0.615686, 0.721569, 0.329412, 0.8, 0.690196, 0.45098, 0.47451, 0.196078, 0.176471, 0.498039, 0.0156863, 0.588235, 0.996078, 0.541176, 0.92549, 0.803922, 0.364706, 0.870588, 0.447059, 0.262745, 0.113725, 0.0941176, 0.282353, 0.952941, 0.552941, 0.501961, 0.764706, 0.305882, 0.258824, 0.843137, 0.239216, 0.611765, 0.705882];
function _lookup_noise_table(i) = _noise_table[i % 256];
function _neighbors(fcord, seed, cell_w) = [
function _neighbors(fcord, seed, grid_w) = [
for(z = [-1:1])
for(y = [-1:1])
for(x = [-1:1])
@ -14,16 +14,16 @@ module voronoi_cube(size, cell_w, seed, spacing = 1) {
nx = fcord[0] + x,
ny = fcord[1] + y,
nz = fcord[2] + z,
sd_base = abs(nx + ny * cell_w + nz * cell_w * cell_w),
sd_base = abs(nx + ny * grid_w + nz * grid_w * grid_w),
sd1 = _lookup_noise_table(seed + sd_base),
sd2 = _lookup_noise_table(sd1 * 255 + sd_base),
sd3 = _lookup_noise_table(sd2 * 255 + sd_base),
nbr = [(nx + sd1) * cell_w, (ny + sd2) * cell_w, (nz + sd3) * cell_w]
nbr = [(nx + sd1) * grid_w, (ny + sd2) * grid_w, (nz + sd3) * grid_w]
)
nbr
];
space_size = cell_w * 3;
space_size = grid_w * 3;
double_space_size = space_size * 2;
offset_leng = (spacing + space_size) * 0.5;
@ -46,14 +46,14 @@ module voronoi_cube(size, cell_w, seed, spacing = 1) {
It can be avoided by taking 177-nearest-neighbor cells but the time taken would be unacceptable.
*/
cell_nbrs_lt = [
for(cz = [0:cell_w:size[2]])
for(cy = [0:cell_w:size[1]])
for(cx = [0:cell_w:size[0]])
for(cz = [0:grid_w:size[2]])
for(cy = [0:grid_w:size[1]])
for(cx = [0:grid_w:size[0]])
let(
nbrs = _neighbors(
[floor(cx / cell_w), floor(cy / cell_w), floor(cz / cell_w)],
[floor(cx / grid_w), floor(cy / grid_w), floor(cz / grid_w)],
sd,
cell_w
grid_w
),
p = nbrs[13],
points = concat(

18
src/experimental/voronoi_square.scad
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@ -1,4 +1,4 @@
module voronoi_square(size, cell_w, seed, spacing = 1, r = 0, delta = 0, chamfer = false, region_type = "square") {
module voronoi_square(size, grid_w, seed, spacing = 1, r = 0, delta = 0, chamfer = false, region_type = "square") {
_noise_table = [0.592157, 0.627451, 0.537255, 0.356863, 0.352941, 0.0588235, 0.513725, 0.0509804, 0.788235, 0.372549, 0.376471, 0.207843, 0.760784, 0.913725, 0.027451, 0.882353, 0.54902, 0.141176, 0.403922, 0.117647, 0.270588, 0.556863, 0.0313725, 0.388235, 0.145098, 0.941176, 0.0823529, 0.0392157, 0.0901961, 0.745098, 0.0235294, 0.580392, 0.968627, 0.470588, 0.917647, 0.294118, 0, 0.101961, 0.772549, 0.243137, 0.368627, 0.988235, 0.858824, 0.796078, 0.458824, 0.137255, 0.0431373, 0.12549, 0.223529, 0.694118, 0.129412, 0.345098, 0.929412, 0.584314, 0.219608, 0.341176, 0.682353, 0.0784314, 0.490196, 0.533333, 0.670588, 0.658824, 0.266667, 0.686275, 0.290196, 0.647059, 0.278431, 0.52549, 0.545098, 0.188235, 0.105882, 0.65098, 0.301961, 0.572549, 0.619608, 0.905882, 0.32549, 0.435294, 0.898039, 0.478431, 0.235294, 0.827451, 0.521569, 0.901961, 0.862745, 0.411765, 0.360784, 0.160784, 0.215686, 0.180392, 0.960784, 0.156863, 0.956863, 0.4, 0.560784, 0.211765, 0.254902, 0.0980392, 0.247059, 0.631373, 0.00392157, 0.847059, 0.313725, 0.286275, 0.819608, 0.298039, 0.517647, 0.733333, 0.815686, 0.34902, 0.0705882, 0.662745, 0.784314, 0.768627, 0.529412, 0.509804, 0.454902, 0.737255, 0.623529, 0.337255, 0.643137, 0.392157, 0.427451, 0.776471, 0.678431, 0.729412, 0.0117647, 0.25098, 0.203922, 0.85098, 0.886275, 0.980392, 0.486275, 0.482353, 0.0196078, 0.792157, 0.14902, 0.576471, 0.462745, 0.494118, 1, 0.321569, 0.333333, 0.831373, 0.811765, 0.807843, 0.231373, 0.890196, 0.184314, 0.0627451, 0.227451, 0.0666667, 0.713725, 0.741176, 0.109804, 0.164706, 0.87451, 0.717647, 0.666667, 0.835294, 0.466667, 0.972549, 0.596078, 0.00784314, 0.172549, 0.603922, 0.639216, 0.27451, 0.866667, 0.6, 0.396078, 0.607843, 0.654902, 0.168627, 0.67451, 0.0352941, 0.505882, 0.0862745, 0.152941, 0.992157, 0.0745098, 0.384314, 0.423529, 0.431373, 0.309804, 0.443137, 0.878431, 0.909804, 0.698039, 0.72549, 0.439216, 0.407843, 0.854902, 0.964706, 0.380392, 0.894118, 0.984314, 0.133333, 0.94902, 0.756863, 0.933333, 0.823529, 0.564706, 0.0470588, 0.74902, 0.701961, 0.635294, 0.945098, 0.317647, 0.2, 0.568627, 0.921569, 0.976471, 0.054902, 0.937255, 0.419608, 0.192157, 0.752941, 0.839216, 0.121569, 0.709804, 0.780392, 0.415686, 0.615686, 0.721569, 0.329412, 0.8, 0.690196, 0.45098, 0.47451, 0.196078, 0.176471, 0.498039, 0.0156863, 0.588235, 0.996078, 0.541176, 0.92549, 0.803922, 0.364706, 0.870588, 0.447059, 0.262745, 0.113725, 0.0941176, 0.282353, 0.952941, 0.552941, 0.501961, 0.764706, 0.305882, 0.258824, 0.843137, 0.239216, 0.611765, 0.705882];
function _lookup_noise_table(i) = _noise_table[i % 256];
@ -7,14 +7,14 @@ module voronoi_square(size, cell_w, seed, spacing = 1, r = 0, delta = 0, chamfer
let(
nx = fcord[0] + x,
ny = fcord[1] + y,
sd_base = abs(nx + ny * cell_w),
sd_base = abs(nx + ny * grid_w),
sd1 = _lookup_noise_table(seed + sd_base),
sd2 = _lookup_noise_table(sd1 * 255 + sd_base)
)
[(nx + sd1) * cell_w, (ny + sd2) * cell_w];
[(nx + sd1) * grid_w, (ny + sd2) * grid_w];
// 21-nearest-neighbor
function _neighbors(fcord, seed, cell_w) =
function _neighbors(fcord, seed, grid_w) =
concat(
[
for(y = [-1:1])
@ -27,7 +27,7 @@ module voronoi_square(size, cell_w, seed, spacing = 1, r = 0, delta = 0, chamfer
[for(y = [-1:1]) cell_pt(fcord, seed, 2, y)]
);
region_size = cell_w * 3;
region_size = grid_w * 3;
half_region_size = 0.5 * region_size;
offset_leng = (spacing + region_size) * 0.5;
@ -44,13 +44,13 @@ module voronoi_square(size, cell_w, seed, spacing = 1, r = 0, delta = 0, chamfer
sd = is_undef(seed) ? rands(0, 255, 1)[0] : seed;
cell_nbrs_lt = [for(cy = [0:cell_w:size[1]])
for(cx = [0:cell_w:size[0]])
cell_nbrs_lt = [for(cy = [0:grid_w:size[1]])
for(cx = [0:grid_w:size[0]])
let(
nbrs = _neighbors(
[floor(cx / cell_w), floor(cy / cell_w)],
[floor(cx / grid_w), floor(cy / grid_w)],
sd,
cell_w
grid_w
),
p = nbrs[4],
points = concat(