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Те файлась на Викискладе-стэ ды мереви тевс нолдамс лия теварсевкссэ. Ланганзо сёрмадовксось лопасто ёвтнемась невтезь ало.

View Moon elevation.stl  on viewstl.com

Нурькинестэ

Сёрмадома
English: Moon 10-times-exaggerated elevation model by CMG Lee using LRO LOLA data.
Шка
Лисьмапря Эсь важодема
Арсиця Cmglee
Лият версият
Moon elevation 2.stl

Python source

#!/usr/bin/env python

exaggeration   = 10
header         = ('Moon %s-times-exaggerated elevation model by CMG Lee using LRO LOLA data.'
                  % (exaggeration))
path_png_alt   = 'moon_elevation.png'      ## 1-channel equirectangular PNG
luma_datum     = 128                       ## image intensity level (of 0-255) of datum
radius_datum   = 1737.4                    ## mean radius of zero level in km
f_wgs84        = 1 - 1736.0 / 1737.4       ## WGS84 flattening factor
km_per_luma    = (9.094 + 10.786) / 255 * exaggeration ## min and max elevations in km
scale          = 1e-2                      ## overall scale of model in km^-1
lat_offset     = 0.0 / 12                  ## rotation around planet axis in revolutions
n_division     = 200                       ## each cubic face divided into n_division^2 squares

class Png:
 def __init__(self, path):
  (self.width, self.height, self.pixels, self.metadatas) = png.Reader(path).read_flat()
 def __str__(self): return str((self.width, self.height, len(self.pixels), self.metadatas))

import time, re, math, struct, png
time.start = time.time()
def log(string): print('%6.3fs\t%s' % (time.time() - time.start, string))
def fmt(string): ## string.format(**vars()) using tags {expression!format} by CMG Lee
 def f(tag): i_sep = tag.rfind('!'); return (re.sub('\.0+$', '', str(eval(tag[1:-1])))
  if (i_sep < 0) else ('{:%s}' % tag[i_sep + 1:-1]).format(eval(tag[1:i_sep])))
 return (re.sub(r'(?<!{){[^{}]+}', lambda m:f(m.group()), string)
         .replace('{{', '{').replace('}}', '}'))
def append(obj, string): return obj.append(fmt(string))
def tabbify(cellss, separator='|'):
 cellpadss = [list(rows) + [''] * (len(max(cellss, key=len)) - len(rows)) for rows in cellss]
 fmts = ['%%%ds' % (max([len(str(cell)) for cell in cols])) for cols in zip(*cellpadss)]
 return '\n'.join([separator.join(fmts) % tuple(rows) for rows in cellpadss])
def hex_rgb(colour): ## convert [#]RGB to #RRGGBB and [#]RRGGBB to #RRGGBB
 return '#%s' % (colour if len(colour) > 4 else ''.join([c * 2 for c in colour])).lstrip('#')
def viscam_colour(colour):
 colour_hex      = hex_rgb(colour)
 colour_top5bits = [int(colour_hex[i:i+2], 16) >> 3 for i in range(1,7,2)]
 return (1 << 15) + (colour_top5bits[0] << 10) + (colour_top5bits[1] << 5) + colour_top5bits[2]
def roundm(x, multiple=1):
 if   (isinstance(x, tuple)): return tuple(roundm(list(x), multiple))
 elif (isinstance(x, list )): return [roundm(x_i, multiple) for x_i in x]
 else: return int(math.floor(float(x) / multiple + 0.5)) * multiple
def average(xs): return None if (len(xs) == 0) else float(sum(xs)) / len(xs)
def flatten(lss): return [l for ls in lss for l in ls]
def rotate(facetss, degs): ## around x then y then z axes
 (deg_x,deg_y,deg_z) = degs
 (sin_x,cos_x) = (math.sin(math.radians(deg_x)), math.cos(math.radians(deg_x)))
 (sin_y,cos_y) = (math.sin(math.radians(deg_y)), math.cos(math.radians(deg_y)))
 (sin_z,cos_z) = (math.sin(math.radians(deg_z)), math.cos(math.radians(deg_z)))
 facet_rotatess = []
 for facets in facetss:
  facet_rotates = []
  for i_point in range(4):
   (x, y, z) = [facets[3 * i_point + i_xyz] for i_xyz in range(3)]
   if (x is None or y is None or z is None):
    facet_rotates += [x, y, z]
   else:
    (y, z) = (y * cos_x - z * sin_x,  y * sin_x + z * cos_x) ## rotate about x
    (x, z) = (x * cos_y + z * sin_y, -x * sin_y + z * cos_y) ## rotate about y
    (x, y) = (x * cos_z - y * sin_z,  x * sin_z + y * cos_z) ## rotate about z
    facet_rotates += [round(value, 9) for value in [x, y, z]]
  facet_rotatess.append(facet_rotates)
 return facet_rotatess
def translate(facetss, ds): ## ds = (dx,dy,dz)
 return [facets[:3] + [facets[3 * i_point + i_xyz] + ds[i_xyz]
                       for i_point in range(1,4) for i_xyz in range(3)]
         for facets in facetss]
def flip(facetss):
 return [facets[:3] + facets[6:9] + facets[3:6] + facets[9:] for facets in facetss]

def cube_xyz_to_sphere_xyz(cube_xyzs):
 (x,y,z)                         = [float(xyz) for xyz in cube_xyzs]
 (x_squared,y_squared,z_squared) = (x * x,y * y,z * z)
 return (x * (1 - (y_squared + z_squared) / 2 + y_squared * z_squared / 3) ** 0.5,
         y * (1 - (x_squared + z_squared) / 2 + x_squared * z_squared / 3) ** 0.5,
         z * (1 - (y_squared + x_squared) / 2 + y_squared * x_squared / 3) ** 0.5)
def sphere_xyz_to_lla(sphere_xyzs):
 (x,y,z) = sphere_xyzs
 alt     = (x * x + y * y + z * z) ** 0.5
 lon     = math.atan2(y, x)
 lat     = math.asin(z / alt)
 return (lat,lon,alt)
deg_90 = math.pi / 2
def find_alt(lat_lons, altss):
  (lat,lon) = lat_lons
  if   (lat ==  deg_90): alt = average(altss[ 0])
  elif (lat == -deg_90): alt = average(altss[-1])
  else:
   (width,height) = (len(altss[0]),len(altss))
   x              = (0.5 + lon / (deg_90 * 4) + lat_offset) * width
   y              = (0.5 - lat / (deg_90 * 2)             ) * height
   (x_int,y_int)  = (int(x)   , int(y)   )
   (x_dec,y_dec)  = (x - x_int, y - y_int)
   (x0,x1)        = (x_int % width , (x_int + 1) % width )
   (y0,y1)        = (y_int % height, (y_int + 1) % height)
   alt            = ((altss[y0][x0] * (1 - x_dec) + altss[y1][x0] * x_dec) * (1 - y_dec) +
                     (altss[y0][x1] * (1 - x_dec) + altss[y1][x1] * x_dec) *      y_dec)
  # print(map(math.degrees, lat_lons), y,x, alt)
  return alt
def radius_wgs84(lat):
 if (lat in radius_wgs84.cachess): return radius_wgs84.cachess[lat]
 (sin_lat, cos_lat) = (math.sin(lat), math.cos(lat))
 ff           = (1 - f_wgs84) ** 2
 c            = 1 / (cos_lat ** 2 + ff * sin_lat ** 2) ** 0.5
 s            = c * ff
 radius_c_s_s = (radius_datum * c, radius_datum * s)
 radius_wgs84.cachess[lat] = radius_c_s_s
 return radius_c_s_s
radius_wgs84.cachess = {}
def lla_to_sphere_xyz(llas):
 (lat,lon,alt)        = llas
 (sin_lat,sin_lon)    = (math.sin(lat),math.sin(lon))
 (cos_lat,cos_lon)    = (math.cos(lat),math.cos(lon))
 (radius_c, radius_s) = [(c_s_radius + alt * km_per_luma) * scale
                         for c_s_radius in radius_wgs84(lat)]
 return (radius_c * cos_lat * cos_lon,radius_c * cos_lat * sin_lon,radius_s * sin_lat)
## cube xyz -> smooth sphere xyz -> sphere ll -> image xy -> bumpy sphere xyz
def cube_xyz_alt_to_xyza(cube_xyzs, altss):
 return sphere_xyz_alt_to_xyza(cube_xyz_to_sphere_xyz(cube_xyzs), altss)
def sphere_xyz_alt_to_xyza(sphere_xyzs, altss):
 (lat,lon,alt) = sphere_xyz_to_lla(sphere_xyzs)
 alt           = find_alt((lat,lon), altss)
 lla_alts      = [list(lla_to_sphere_xyz((lat,lon,alt))), alt]
 return lla_alts

log("Read elevation data")
png_alt = Png(path_png_alt)
if (png_alt.metadatas['planes'] != 1): print("%s not 1-channel PNG" % (path_png_alt)); sys.exit(1)
log(png_alt)
altss = [[png_alt.pixels[png_alt.width * y + x] - luma_datum
          for x in range(png_alt.width)] for y in range(png_alt.height)] ## altss[y][x]

log("Find vertices")
k       = 2.0 / n_division
range_k = range(n_division + 1)
face_vertex_llassss = [ ## [0=top][i_y][i_x][xyz,alt]
 [[cube_xyz_alt_to_xyza((x*k-1,y*k-1,    1), altss) for y in range_k] for x in range_k],
 [[cube_xyz_alt_to_xyza((x*k-1,   -1,y*k-1), altss) for y in range_k] for x in range_k],
 [[cube_xyz_alt_to_xyza((    1,x*k-1,y*k-1), altss) for y in range_k] for x in range_k],
 [[cube_xyz_alt_to_xyza((y*k-1,x*k-1,   -1), altss) for y in range_k] for x in range_k],
 [[cube_xyz_alt_to_xyza((y*k-1,    1,x*k-1), altss) for y in range_k] for x in range_k],
 [[cube_xyz_alt_to_xyza((   -1,y*k-1,x*k-1), altss) for y in range_k] for x in range_k],
]

log("Add facets")
facetss = []
for (i_face,face_vertex_llasss) in enumerate(face_vertex_llassss):
 for  v in range(n_division):
  for u in range(n_division):
   (xyz00, alt00) = face_vertex_llasss[v    ][u    ]
   (xyz01, alt01) = face_vertex_llasss[v    ][u + 1]
   (xyz10, alt10) = face_vertex_llasss[v + 1][u    ]
   (xyz11, alt11) = face_vertex_llasss[v + 1][u + 1]
   (xyz_m, alt_m) = sphere_xyz_alt_to_xyza([average(xyzs) for xyzs in
                                            zip(*(xyz00,xyz01,xyz10,xyz11))], altss)
   if (alt_m > max(alt00,alt01,alt10,alt11) or alt_m < min(alt00,alt01,alt10,alt11)):
    facetss.append([None,0,0] + xyz_m + xyz00 + xyz10)
    facetss.append([None,0,0] + xyz_m + xyz10 + xyz11)
    facetss.append([None,0,0] + xyz_m + xyz11 + xyz01)
    facetss.append([None,0,0] + xyz_m + xyz01 + xyz00)
   else:
    if (abs(alt00 - alt11) < abs(alt01 - alt10)):
     facetss.append([None,0,0] + xyz00 + xyz10 + xyz11)
     facetss.append([None,0,0] + xyz11 + xyz01 + xyz00)
    else:
     facetss.append([None,0,0] + xyz10 + xyz11 + xyz01)
     facetss.append([None,0,0] + xyz01 + xyz00 + xyz10)

log("Calculate normals")
for facets in facetss:
 if (facets[0] is None or facets[1] is None or facets[2] is None):
  us      = [facets[i_xyz + 9] - facets[i_xyz + 6] for i_xyz in range(3)]
  vs      = [facets[i_xyz + 6] - facets[i_xyz + 3] for i_xyz in range(3)]
  normals = [us[1]*vs[2] - us[2]*vs[1], us[2]*vs[0] - us[0]*vs[2], us[0]*vs[1] - us[1]*vs[0]]
  normal_length = sum([component * component for component in normals]) ** 0.5
  facets[:3] = [-round(component / normal_length, 10) for component in normals]

# log(tabbify([['N%s'  % (xyz   )                   for xyz in list('xyz')] +
#              ['%s%d' % (xyz, n) for n in range(3) for xyz in list('XYZ')] + ['RGB']] + facetss))

log("Compile STL")
outss = ([[('STL\n\n%-73s\n\n' % (header[:73])).encode('utf-8'), struct.pack('<L',len(facetss))]] +
         [[struct.pack('<f',float(value)) for value in facets[:12]] +
          [struct.pack('<H',0 if (len(facets) <= 12) else
                            viscam_colour(facets[12]))] for facets in facetss])
out   = b''.join([bytes(out) for outs in outss for out in outs])
# out += ('\n\n## Python script to generate STL\n\n%s\n' % (open(__file__).read())).encode('utf-8')
log("Write STL")
with open(__file__[:__file__.rfind('.')] + '.stl', 'wb') as f_out: f_out.write(out)
log("#bytes:%d\t#facets:%d\ttitle:\"%-73s\"" % (len(out), len(facetss), header[:73]))

Лицензиянь теема

Я, владелец авторских прав на это произведение, добровольно публикую его на условиях следующей лицензии:
w:ru:Creative Commons
лемень ледстямо секе вешематнень коряс ламолгавтома
Этот файл доступен по лицензии Creative Commons Attribution-Share Alike 4.0 International
Эсь мелеть коряс:
  • явшемс сёрмадовксонть – ламолгавтомс, явшемс ды кучнемс те сёрмадовксонть
  • одов тейнемс – одов теемс те сёрмадовксонть
Истят вешематень топавтомсто:
  • лемень ледстямо – Тонеть эряви тешкстамс сёрмадыцянть, невтемс лицензиянть лангс ссылканть ды невтемс сёрмадыцянть пельде совавтозь кой-кодат полавтоматнень. Те тееви эрьва кодамо ёндо, ансяк а невти лицензиатонть пельде кирдема эли тонь пельде те сёрмадовксонть тевс нолдамо.
  • секе вешематнень коряс ламолгавтома – Бути тон полавтат, одкстомтат эли теят тень лангсо лия сёрмадовкс, сестэ тонеть эряви тевс нолдамс ушодомань сёрмадовксонь нолдамо конёв эли same or compatible license нолдамо конёвонть, кона малав ушодомансентень.
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The uploader of this file has agreed to the Wikimedia Foundation 3D patent license: This file and any 3D objects depicted in the file are both my own work. I hereby grant to each user, maker, or distributor of the object depicted in the file a worldwide, royalty-free, fully-paid-up, nonexclusive, irrevocable and perpetual license at no additional cost under any patent or patent application I own now or in the future, to make, have made, use, offer to sell, sell, import, and distribute this file and any 3D objects depicted in the file that would otherwise infringe any claims of any patents I hold now or in the future.

Please note that in the event of any differences in meaning or interpretation between the original English version of this license and a translation, the original English version takes precedence.

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неень шкань11:04, 14 Чадыковонь 2018Миниатюрань версия 11:04, 14 Чадыковонь 2018-стэ5120 × 2880 (25,07 Мб)CmgleeUser created page with UploadWizard

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