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Fitxer:Mars elevation.stl

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Fitxer original(5.120 × 2.880 píxels, mida del fitxer: 27,93 Mo, tipus MIME: application/sla)

Descripció a Commons

View Mars elevation.stl  on viewstl.com

Resum

Descripció
English: Mars 20-times-exaggerated elevation model by CMG Lee, using MGS MOLA data.
Data
Font Treball propi
Autor Cmglee
Altres versions
Mars elevation 2.stl

Python source

#!/usr/bin/env python

exaggeration = 20
header       = ('Mars %s-times-exaggerated elevation model by CMG Lee using MGS MOLA data.'
                % (exaggeration))
path_png_alt = 'mars_elevation.png' ## 1-channel equirectangular PNG
luma_datum   = 42                   ## of 0-255 intensity levels
radius_datum = 3389.5               ## in km
f_wgs84      = 1 - 3376.2 / 3396.2  ## WGS84 flattening factor
km_per_luma  = 0.155 * exaggeration ## found from Olympus Mons
scale        = 1e-2                 ## overall scale of model
lat_offset   = 1.0 / 8              ## 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 xyz_to_lla(xyzs):
 (x,y,z) = 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)
def xyz_alt_to_xyza(xyzs, altss):
 (lat,lon,alt) = xyz_to_lla(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]
 [[xyz_alt_to_xyza((x*k-1,y*k-1,    1), altss) for y in range_k] for x in range_k],
 [[xyz_alt_to_xyza((x*k-1,   -1,y*k-1), altss) for y in range_k] for x in range_k],
 [[xyz_alt_to_xyza((    1,x*k-1,y*k-1), altss) for y in range_k] for x in range_k],
 [[xyz_alt_to_xyza((y*k-1,x*k-1,   -1), altss) for y in range_k] for x in range_k],
 [[xyz_alt_to_xyza((y*k-1,    1,x*k-1), altss) for y in range_k] for x in range_k],
 [[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") ## cube xyz -> ll(a) -> image xy -> a -> sphere xyz
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) = 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]))

Llicència

Jo, el titular dels drets d'autor d'aquest treball, el public sota la següent llicència:
w:ca:Creative Commons
reconeixement compartir igual
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
Sou lliure de:
  • compartir – copiar, distribuir i comunicar públicament l'obra
  • adaptar – fer-ne obres derivades
Amb les condicions següents:
  • reconeixement – Heu de donar la informació adequada sobre l'autor, proporcionar un enllaç a la llicència i indicar si s'han realitzat canvis. Podeu fer-ho amb qualsevol mitjà raonable, però de cap manera no suggereixi que l'autor us dóna suport o aprova l'ús que en feu.
  • compartir igual – Si modifiqueu, transformeu, o generareu amb el material, haureu de distribuir les vostres contribucions sota una llicència similar o una de compatible com l'original
Wikimedia Foundation
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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Data/horaMiniaturaDimensionsUsuari/aComentari
actual02:15, 16 abr 2018Miniatura per a la versió del 02:15, 16 abr 20185.120 × 2.880 (27,93 Mo)CmgleeFix facets facing wrong way, subdivide facets with local minima/maxima and rotate planet to show Valles Marineris.
20:25, 12 abr 2018Miniatura per a la versió del 20:25, 12 abr 20185.120 × 2.880 (22,89 Mo)CmgleeUse cubic subdivision to allow smoother terrain by triangulating each quadrilateral along diagonal with the smaller height difference.
00:09, 5 abr 2018Miniatura per a la versió del 00:09, 5 abr 20185.120 × 2.880 (25 Mo)CmgleeUse octahedron subdivision to increase resolution and fix poles.
02:40, 3 abr 2018Miniatura per a la versió del 02:40, 3 abr 20185.120 × 2.880 (24,72 Mo)CmgleeUser created page with UploadWizard

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