("amenity", "school", 1),\r
("highway", "pedestrian", 12),\r
# Z-Order 4\r
- ("highway", "motorway", 1),\r
- ("highway", "primary", 1),\r
- ("highway", "secondary", 1),\r
- ("highway", "tertiary", 1),\r
- ("highway", "unclassified", 1),\r
- ("highway", "living_street", 1),\r
- ("highway", "residential", 1),\r
- ("highway", "service", 1),\r
+ ("highway", "motorway", 0.5),\r
+ ("highway", "primary", 0.5),\r
+ ("highway", "secondary", 0.5),\r
+ ("highway", "tertiary", 0.5),\r
+ ("highway", "unclassified", 0.5),\r
+ ("highway", "living_street", 0.5),\r
+ ("highway", "residential", 0.5),\r
+ ("highway", "service", 0.5),\r
("highway", "footway", 2),\r
("highway", "track", 2),\r
("highway", "path", 2),\r
d = randrange(41, 61)\r
layer_comp_pix[x, y] = ( d,d,d,a[3] )\r
if self._tag == "highway" and self._value != "motorway":\r
- d = randrange(0, 6)\r
+ d = randrange(0, 31)\r
dr = 80+d\r
dg = 80+d\r
db = 85+d\r
- da = a[3]\r
+ da = 255\r
layer_comp_pix[x, y] = ( dr,dg,db,da )\r
if self._tag == "highway" and self._value == "motorway":\r
d = randrange(0, 46)\r
dr = 47+d\r
dg = 58+d\r
db = 60+d\r
- layer_comp_pix[x, y] = ( dr,dg,db,a[3] )\r
+ layer_comp_pix[x, y] = ( dr,dg,db,255 )\r
if self._tag == "highway" and (self._value == "footway" or self._value == "track" or self._value == "path"):\r
dr = randrange(158, 183)\r
dg = randrange(143, 178)\r
\r
os.remove(mstr_datafolder + "z_orthographic/orthos/" + self._latlngfld + "/" + str(self._ty) + "_" + str(self._tx) + ".png")\r
\r
+ # Clear cache\r
+ cache = glob.glob(mstr_datafolder + "_cache/*" + str(self._lat) + "-" + str(self._ty) + "_" + str(self._lng) + "-" + str(self._tx) + "*.png")\r
+ for f in range(len(cache)):\r
+ os.remove(cache[f])\r
+\r
\r
# Now generate the normal map for this ortho.\r
# But only if this is enabled.\r
# Generates some random tree.\r
# We will now move away from using pre-made trees...\r
# they didn't look so great\r
- def generate_tree(self, bccolor=[(0,0,0)]):\r
+ def generate_tree(self, bccolor=None):\r
sx = randrange(18, 31)\r
sy = randrange(18, 31)\r
\r
\r
bc = []\r
bcp = 0\r
- if bccolor[0] == 0:\r
+ if bccolor == None:\r
bc = [\r
(36, 50, 52),\r
(30, 41, 39),\r
bcp = randrange(0, len(bc))\r
else:\r
bc = bccolor\r
+ bcp = randrange(0, len(bc))\r
\r
treedraw = ImageDraw.Draw(tree)\r
while ptsdrawn < treepts + 1:\r
forest = curlyr\r
\r
# Find the average color of the forest layer\r
- frstavg = [0,0,0]\r
+ frstclr = []\r
frstpix = None\r
if forest != -1:\r
- numusedpix = 0\r
frstpix = layers[forest].load()\r
- avg=[0,0,0]\r
for y in range(0, self._imgsize):\r
for x in range(0, self._imgsize):\r
frs = frstpix[x,y]\r
if frs[3] > 0:\r
- avg[0] = avg[0] + frs[0]\r
- avg[1] = avg[1] + frs[1]\r
- avg[2] = avg[2] + frs[2]\r
- numusedpix = numusedpix + 1\r
-\r
- # Calculate and set average\r
- frstavg[0] = int(avg[0] / numusedpix)\r
- frstavg[1] = int(avg[1] / numusedpix)\r
- frstavg[2] = int(avg[2] / numusedpix)\r
+ c = ( frs[0]-30, frs[1]-30, frs[2]-30 )\r
+ frstclr.append(c)\r
\r
\r
# Walk through list of layers to decide where to add the trees\r
lp = lyrmask[lx,ly]\r
wp = wtrpix[lx,ly]\r
if lp[3] == 255 and wp[3] == 0: # Exclude water bodies from tree placement\r
- tree = self.generate_tree(bccolor=[(frstavg[0], frstavg[1], frstavg[2])])\r
+ tree = self.generate_tree(frstclr)\r
trees.alpha_composite(tree, (lx, ly))\r
\r
tree_shadow = Image.new("RGBA", (self._imgsize, self._imgsize))\r