Corrected bug in layergen preventing generation of tile completion layer
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665
layergen.py
665
layergen.py
@ -99,341 +99,178 @@ class mstr_layergen:
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return layer_final
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# This generates the layer to be masked
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# This generates the layer from the defined mask
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def genlayer(self):
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# Ok so. For speed reasons, we only proceed if there is anything to do.
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if os.path.isfile(mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + ".png"):
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mstr_msg("mstr_layergen", "Layer to be generated: " + str(self._latitude) + "-" + str(self._lat_number) + ":" + str(self._longitude) + "-" + str(self._lng_number) + " -- tag: " + self._tag + " - value: " + self._value )
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mstr_msg("mstr_layergen", "Layer to be generated: " + str(self._latitude) + "-" + str(self._lat_number) + ":" + str(self._longitude) + "-" + str(self._lng_number) + " -- tag: " + self._tag + " - value: " + self._value )
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# Before we generate the layer, let's check for airports in this chunk
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mstr_msg("mstr_layergen", "Checking for airport/s with ICAO code")
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osmxml = mstr_osmxml(0,0)
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icao = osmxml.find_icao_codes(mstr_datafolder + "_cache\\tile.xml")
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mstr_msg("mstr_layergen", "Found " + str(len(icao)) + " airport/s")
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# Runway surface, if any other than concrete/asphalt
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rw_surface = ""
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# If we find an airport, make a note ...
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if len(icao) >= 1:
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for i in icao:
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# ... but only, if this airport is not already noted
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iccheck = self._tiledb.perform_query("SELECT * FROM airports WHERE icao='" + i +"';")
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if len(iccheck) == 0:
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self._tiledb.insert_icao(i, self._lat_number, self._lng_number, self._latitude, self._longitude)
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mstr_msg("mstr_layergen", "Airport/s noted in data file")
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rw_surface = osmxml.find_runway_surface(mstr_datafolder + "_cache\\tile.xml")
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# Before we generate the layer, let's check for airports in this chunk
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mstr_msg("mstr_layergen", "Checking for airport/s with ICAO code")
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osmxml = mstr_osmxml(0,0)
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icao = osmxml.find_icao_codes(mstr_datafolder + "_cache\\tile.xml")
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mstr_msg("mstr_layergen", "Found " + str(len(icao)) + " airport/s")
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# Runway surface, if any other than concrete/asphalt
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rw_surface = ""
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# If we find an airport, make a note ...
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if len(icao) >= 1:
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for i in icao:
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# ... but only, if this airport is not already noted
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iccheck = self._tiledb.perform_query("SELECT * FROM airports WHERE icao='" + i +"';")
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if len(iccheck) == 0:
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self._tiledb.insert_icao(i, self._lat_number, self._lng_number, self._latitude, self._longitude)
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mstr_msg("mstr_layergen", "Airport/s noted in data file")
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rw_surface = osmxml.find_runway_surface(mstr_datafolder + "_cache\\tile.xml")
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# The image for the layer itself
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layer = Image.new("RGBA", (self._imgsize, self._imgsize))
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layer_pix = layer.load()
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# The image for the layer itself
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layer = Image.new("RGBA", (self._imgsize, self._imgsize))
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layer_pix = layer.load()
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# There are some things we need to use sources for, and some things, we do not.
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# We need to differentiate that.
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# There are some things we need to use sources for, and some things, we do not.
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# We need to differentiate that.
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if (self._isline == False and self._tag != "building") or (self._is_completion == True):
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# Determine where we get the our source material from
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root_folder = mstr_datafolder + "Textures\\"
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for s in mstr_ortho_layers:
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if s[0] == self._tag and s[1] == self._value:
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fld_main = len(s)-2
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fld_sub = len(s)-1
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root_folder = root_folder + s[fld_main] + "\\" + s[fld_sub]
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if (self._isline == False and self._tag != "building") or (self._is_completion == True):
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# Determine where we get the our source material from
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root_folder = mstr_datafolder + "Textures\\"
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for s in mstr_ortho_layers:
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if s[0] == self._tag and s[1] == self._value:
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fld_main = len(s)-2
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fld_sub = len(s)-1
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root_folder = root_folder + s[fld_main] + "\\" + s[fld_sub]
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# Determine which sources to use.
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# First, we need to check for adjacent tile information. We then either
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# need to use the source of any adjacent tile, or we can choose freely.
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src = -1
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# Find our adjacent tiles
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adjtiles = findAdjacentTilesTo(self._lat_number, self._lng_number)
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mstr_msg("mstr_layergen", "Performing adjacency check")
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# Walk through each tile and see what we can find in relation to this
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# tile in the center
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# Since we already know the order in adjtiles, we can do this real easy
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if self._is_completion == False:
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at = self._tiledb.get_adjacency_for_source(adjtiles[0][0], adjtiles[0][1], self._tag, self._value) # Top
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ar = self._tiledb.get_adjacency_for_source(adjtiles[1][0], adjtiles[1][1], self._tag, self._value) # Right
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ab = self._tiledb.get_adjacency_for_source(adjtiles[2][0], adjtiles[2][1], self._tag, self._value) # Bottom
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al = self._tiledb.get_adjacency_for_source(adjtiles[3][0], adjtiles[3][1], self._tag, self._value) # Left
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if self._is_completion == True:
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at = self._tiledb.get_adjacency_for_completion(adjtiles[0][0], adjtiles[0][1], self._tag, self._value) # Top
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ar = self._tiledb.get_adjacency_for_completion(adjtiles[1][0], adjtiles[1][1], self._tag, self._value) # Right
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ab = self._tiledb.get_adjacency_for_completion(adjtiles[2][0], adjtiles[2][1], self._tag, self._value) # Bottom
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al = self._tiledb.get_adjacency_for_completion(adjtiles[3][0], adjtiles[3][1], self._tag, self._value) # Left
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# We are south to the top tile.
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if len(at) == 1 and src == -1:
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if "b" in at[0][5]: src = int(at[0][4])
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# We are west to the right tile.
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if len(ar) == 1 and src == -1:
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if "l" in ar[0][5]: src = int(ar[0][4])
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# We are north to the bottom tile.
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if len(ab) == 1 and src == -1:
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if "t" in ab[0][5]: src = int(ab[0][4])
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# We are east to the left tile.
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if len(al) == 1 and src == -1:
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if "r" in al[0][5]: src = int(al[0][4])
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mstr_msg("mstr_layergen", "Adjacency check completed")
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brd = glob.glob(root_folder + "\\brd\\b*.png")
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# If the adjacency check returned nothing (src is still -1),
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# then pick something
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if src == -1:
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if len(brd) == 1: src=1
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if len(brd) >= 2:
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src = randrange(1, len(brd))
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ptc = glob.glob(root_folder + "\\ptc\\b" + str(src) + "_p*.png")
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# Load in the sources to work with
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brd_src = Image.open(root_folder + "\\brd\\b" + str(src) + ".png")
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ptc_src = []
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for p in ptc:
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ptc_src.append(Image.open(p))
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mstr_msg("mstr_layergen", "Layer sources selected")
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# OK! Load the mask
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if self._is_completion == False:
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osm_mask = Image.open( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + ".png" )
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if self._is_completion == True:
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osm_mask = Image.open( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_tile-completion.png" )
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# Generate an edge mask from the original
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osm_edge = osm_mask.filter(ImageFilter.FIND_EDGES)
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osm_edge = osm_edge.filter(ImageFilter.MaxFilter)
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mstr_msg("mstr_layergen", "Edge mask generated")
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# We need to change the image in certain conditions
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if self._value == "hedge" and self._tag == "barrier":
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osm_mask = osm_edge
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# From here on in we will need to perform some adjustments on the masks, depending
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# on what they are.
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for i in mstr_mask_blur:
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if i[0] == self._tag and i[1] == self._value:
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osm_mask = osm_mask.filter(ImageFilter.BoxBlur(radius=i[2]))
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break
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# Begin producing a largely random image
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samples = 250 # <- We need this in a moment
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for i in range(samples):
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imgid = 0
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if len(ptc_src) == 1: imgid = 0
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if len(ptc_src) >= 2:
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imgid = randrange(1, len(ptc_src)) - 1
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l = 0 - int(ptc_src[imgid].width / 2)
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r = layer.width - int(ptc_src[imgid].width / 2)
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t = 0 - int(ptc_src[imgid].height / 2)
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b = layer.height - int(ptc_src[imgid].height / 2)
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layer.alpha_composite( ptc_src[imgid], ( randrange(l, r), randrange(t, b) ) )
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mstr_msg("mstr_layergen", "Layer image generated")
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# We now need to add the seamless border
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layer.alpha_composite( brd_src )
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mstr_msg("mstr_layergen", "Layer image completed")
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# And now for the Big Mac.
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# Generate the layer from the mask.
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layer_comp = Image.new("RGBA", (self._imgsize, self._imgsize))
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layer_pix = layer.load()
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mask_pix = osm_mask.load()
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layer_comp_pix = layer_comp.load()
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for y in range(self._imgsize):
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for x in range(self._imgsize):
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if mask_pix[x, y][3] > 0:
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rgb=layer_pix[x,y]
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a=mask_pix[x,y]
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layer_comp_pix[x, y] = ( rgb[0], rgb[1], rgb[2], a[3] )
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# For some things, we will need to add a border and then add this to the layer.
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layer_border = None
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if self._tag == "landuse":
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if self._value == "forest" or self._value == "farmland":
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osm_edge = osm_edge.filter(ImageFilter.ModeFilter(size=15))
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osm_edge = osm_edge.filter(ImageFilter.BoxBlur(radius=2))
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layer_border = self.genborder(osm_edge, "landuse", "meadow")
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layer_comp.alpha_composite(layer_border)
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# Store layer
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if self._is_completion == False:
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layer_comp.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer.png" )
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if self._is_completion == True:
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layer_comp.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_tile-completion_layer.png" )
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#layer_final.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer.png" )
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mstr_msg("mstr_layergen", "Layer image finalized and saved.")
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# Let's try our hand at pseudo shadows
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if mstr_shadow_enabled == True:
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shadow = Image.new("RGBA", (self._imgsize, self._imgsize))
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for sh in mstr_shadow_casters:
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if self._tag == sh[0] and self._value == sh[1]:
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mstr_msg("mstr_layergen", "Generating shadow for layer")
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shadow_pix = shadow.load()
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mask_pix = osm_mask.load()
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for y in range(self._imgsize-1):
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for x in range(self._imgsize-1):
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m = mask_pix[x,y]
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shf_x = x + mstr_shadow_shift
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if shf_x <= self._imgsize-1:
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a = mask_pix[x,y][3]
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st = random.uniform(0.45, mstr_shadow_strength)
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ca = a * st
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aa = int(ca)
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shadow_pix[shf_x, y] = (0,0,0,aa)
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shadow.save(mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer_shadow.png")
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mstr_msg("mstr_layergen", "Shadow layer completed")
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# Check if pixels touch the borders of the image, and if so -
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# make a not of that in the database.
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at=False
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ar=False
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ab=False
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al=False
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layer_pix = layer_comp.load() # <- Just to be safe
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# Top scan
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for i in range(0, self._imgsize-1):
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p = layer_pix[i,0]
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if p[3] > 0:
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at=True
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break
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# Right scan
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for i in range(0, self._imgsize-1):
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p = layer_pix[self._imgsize-1,i]
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if p[3] > 0:
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ar=True
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break
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# Bottom scan
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for i in range(0, self._imgsize-1):
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p = layer_pix[i,self._imgsize-1]
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if p[3] > 0:
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ab=True
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break
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# Left scan
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for i in range(0, self._imgsize-1):
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p = layer_pix[1,i]
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if p[3] > 0:
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al=True
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break
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# Construct DB String
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adjstr = ""
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if at==True: adjstr = adjstr + "t"
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if ar==True: adjstr = adjstr + "r"
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if ab==True: adjstr = adjstr + "b"
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if al==True: adjstr = adjstr + "l"
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# Store into DB - but only if there is something to store
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if adjstr != "":
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if self._is_completion == False:
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self._tiledb.insert_info(self._lat_number, self._lng_number, self._tag, self._value, src, adjstr)
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if self._is_completion == True:
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self._tiledb.insert_completion_info(self._lat_number, self._lng_number, self._tag, self._value, src, adjstr)
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self._tiledb.commit_query()
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self._tiledb.close_db()
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mstr_msg("mstr_layergen", "Adjacency info stored in database")
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# Determine which sources to use.
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# First, we need to check for adjacent tile information. We then either
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# need to use the source of any adjacent tile, or we can choose freely.
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src = -1
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# Find our adjacent tiles
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adjtiles = findAdjacentTilesTo(self._lat_number, self._lng_number)
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# If we encounter one of these road-specific tags, we need to proceed differently.
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mstr_msg("mstr_layergen", "Performing adjacency check")
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# Walk through each tile and see what we can find in relation to this
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# tile in the center
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# Since we already know the order in adjtiles, we can do this real easy
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if self._is_completion == False:
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at = self._tiledb.get_adjacency_for_source(adjtiles[0][0], adjtiles[0][1], self._tag, self._value) # Top
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ar = self._tiledb.get_adjacency_for_source(adjtiles[1][0], adjtiles[1][1], self._tag, self._value) # Right
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ab = self._tiledb.get_adjacency_for_source(adjtiles[2][0], adjtiles[2][1], self._tag, self._value) # Bottom
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al = self._tiledb.get_adjacency_for_source(adjtiles[3][0], adjtiles[3][1], self._tag, self._value) # Left
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if self._is_completion == True:
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at = self._tiledb.get_adjacency_for_completion(adjtiles[0][0], adjtiles[0][1], self._tag, self._value) # Top
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ar = self._tiledb.get_adjacency_for_completion(adjtiles[1][0], adjtiles[1][1], self._tag, self._value) # Right
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ab = self._tiledb.get_adjacency_for_completion(adjtiles[2][0], adjtiles[2][1], self._tag, self._value) # Bottom
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al = self._tiledb.get_adjacency_for_completion(adjtiles[3][0], adjtiles[3][1], self._tag, self._value) # Left
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if self._isline == True or self._tag == "building":
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# We are south to the top tile.
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if len(at) == 1 and src == -1:
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if "b" in at[0][5]: src = int(at[0][4])
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# We are west to the right tile.
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if len(ar) == 1 and src == -1:
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if "l" in ar[0][5]: src = int(ar[0][4])
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# We are north to the bottom tile.
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if len(ab) == 1 and src == -1:
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if "t" in ab[0][5]: src = int(ab[0][4])
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# We are east to the left tile.
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if len(al) == 1 and src == -1:
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if "r" in al[0][5]: src = int(al[0][4])
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mstr_msg("mstr_layergen", "Adjacency check completed")
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# We will need the mask in question
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brd = glob.glob(root_folder + "\\brd\\b*.png")
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# If the adjacency check returned nothing (src is still -1),
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# then pick something
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if src == -1:
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if len(brd) == 1: src=1
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if len(brd) >= 2:
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src = randrange(1, len(brd))
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ptc = glob.glob(root_folder + "\\ptc\\b" + str(src) + "_p*.png")
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# Load in the sources to work with
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brd_src = Image.open(root_folder + "\\brd\\b" + str(src) + ".png")
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ptc_src = []
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for p in ptc:
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ptc_src.append(Image.open(p))
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mstr_msg("mstr_layergen", "Layer sources selected")
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# OK! Load the mask
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if self._is_completion == False:
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osm_mask = Image.open( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + ".png" )
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if self._is_completion == True:
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osm_mask = Image.open( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_tile-completion.png" )
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|
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# Generate an edge mask from the original
|
||||
osm_edge = osm_mask.filter(ImageFilter.FIND_EDGES)
|
||||
osm_edge = osm_edge.filter(ImageFilter.MaxFilter)
|
||||
mstr_msg("mstr_layergen", "Edge mask generated")
|
||||
|
||||
# Generate an edge mask from the original
|
||||
osm_edge = osm_mask.filter(ImageFilter.FIND_EDGES)
|
||||
osm_edge = osm_edge.filter(ImageFilter.MaxFilter)
|
||||
mstr_msg("mstr_layergen", "Edge mask generated")
|
||||
# We need to change the image in certain conditions
|
||||
if self._value == "hedge" and self._tag == "barrier":
|
||||
osm_mask = osm_edge
|
||||
|
||||
# As above, we will apply the blur as noted in the defines
|
||||
for i in mstr_mask_blur:
|
||||
if i[0] == self._tag and i[1] == self._value:
|
||||
osm_mask = osm_mask.filter(ImageFilter.BoxBlur(radius=i[2]))
|
||||
break
|
||||
osm_edge = osm_edge.filter(ImageFilter.BoxBlur(radius=1))
|
||||
|
||||
|
||||
# And now for the Big Mac.
|
||||
# Generate the layer from the mask. Same as above - except!
|
||||
# This time we have no source material - instead we will fill the
|
||||
# mask with a color that is appropriate for this street type.
|
||||
layer_comp = Image.new("RGBA", (self._imgsize, self._imgsize))
|
||||
mask_pix = osm_mask.load()
|
||||
edge_pix = osm_edge.load()
|
||||
layer_comp_pix = layer_comp.load()
|
||||
for y in range(self._imgsize):
|
||||
for x in range(self._imgsize):
|
||||
if mask_pix[x, y][3] > 0:
|
||||
a=mask_pix[x,y]
|
||||
e=edge_pix[x,y]
|
||||
# Find a suitable color
|
||||
d = 0
|
||||
if self._tag == "aeroway" and self._value == "runway":
|
||||
# It seems only runways with any other surface than concrete
|
||||
# are mentioned in OSM. So we need to make sure when to render
|
||||
# "concrete" and when to leave it. Only sometimes the word
|
||||
# "asphalt" is mentioned
|
||||
if rw_surface == "" or rw_surface == "asphalt":
|
||||
d = randrange(81, 101)
|
||||
layer_comp_pix[x, y] = ( d,d,d,a[3] )
|
||||
if self._tag == "railway":
|
||||
d = randrange(41, 61)
|
||||
layer_comp_pix[x, y] = ( d,d,d,a[3] )
|
||||
if self._tag == "highway":
|
||||
d = randrange(81, 101)
|
||||
layer_comp_pix[x, y] = ( d,d,d,a[3] )
|
||||
if self._tag == "waterway" and self._value == "stream":
|
||||
d = randrange(1, 15)
|
||||
layer_comp_pix[x, y] = ( 19-d, 62-d, 71-d, a[3] )
|
||||
if self._tag == "building":
|
||||
r = randrange(1, 20)
|
||||
|
||||
if self._value == "yes":
|
||||
d = (116-r, 117-r,135-r)
|
||||
layer_comp_pix[x, y] = ( d[0], d[1], d[2], a[3] )
|
||||
if e[3] > 0:
|
||||
b = (96-r, 97-r, 115-r)
|
||||
layer_comp_pix[x, y] = ( b[0],b[1],b[2],e[3] )
|
||||
# From here on in we will need to perform some adjustments on the masks, depending
|
||||
# on what they are.
|
||||
for i in mstr_mask_blur:
|
||||
if i[0] == self._tag and i[1] == self._value:
|
||||
osm_mask = osm_mask.filter(ImageFilter.BoxBlur(radius=i[2]))
|
||||
break
|
||||
|
||||
# Begin producing a largely random image
|
||||
samples = 250 # <- We need this in a moment
|
||||
for i in range(samples):
|
||||
imgid = 0
|
||||
if len(ptc_src) == 1: imgid = 0
|
||||
if len(ptc_src) >= 2:
|
||||
imgid = randrange(1, len(ptc_src)) - 1
|
||||
l = 0 - int(ptc_src[imgid].width / 2)
|
||||
r = layer.width - int(ptc_src[imgid].width / 2)
|
||||
t = 0 - int(ptc_src[imgid].height / 2)
|
||||
b = layer.height - int(ptc_src[imgid].height / 2)
|
||||
layer.alpha_composite( ptc_src[imgid], ( randrange(l, r), randrange(t, b) ) )
|
||||
mstr_msg("mstr_layergen", "Layer image generated")
|
||||
|
||||
if self._value == "office" or self._value == "retail":
|
||||
d = (100-r, 100-r, 100-r)
|
||||
layer_comp_pix[x, y] = ( d[0], d[1], d[2], a[3] )
|
||||
if e[3] > 0:
|
||||
b = (80-r, 80-r, 80-r)
|
||||
layer_comp_pix[x, y] = ( b[0],b[1],b[2],e[3] )
|
||||
# We now need to add the seamless border
|
||||
layer.alpha_composite( brd_src )
|
||||
mstr_msg("mstr_layergen", "Layer image completed")
|
||||
|
||||
if self._value == "industrial":
|
||||
d = (166-r, 170-r, 175-r)
|
||||
layer_comp_pix[x, y] = ( d[0], d[1], d[2], a[3] )
|
||||
if e[3] > 0:
|
||||
b = (146-r, 150-r, 155-r)
|
||||
layer_comp_pix[x, y] = ( b[0],b[1],b[2],e[3] )
|
||||
|
||||
if self._value == "track" or self._value == "path":
|
||||
d = randrange(1,20)
|
||||
r = 164 - d
|
||||
g = 159 - d
|
||||
b = 138 - d
|
||||
layer_comp_pix[x, y] = ( r,g,b,a[3] )
|
||||
mstr_msg("mstr_layergen", "Layer image generated")
|
||||
|
||||
# Building shadow
|
||||
if mstr_shadow_enabled == True:
|
||||
if self._tag == "building":
|
||||
# And now for the Big Mac.
|
||||
# Generate the layer from the mask.
|
||||
layer_comp = Image.new("RGBA", (self._imgsize, self._imgsize))
|
||||
layer_pix = layer.load()
|
||||
mask_pix = osm_mask.load()
|
||||
layer_comp_pix = layer_comp.load()
|
||||
for y in range(self._imgsize):
|
||||
for x in range(self._imgsize):
|
||||
if mask_pix[x, y][3] > 0:
|
||||
rgb=layer_pix[x,y]
|
||||
a=mask_pix[x,y]
|
||||
layer_comp_pix[x, y] = ( rgb[0], rgb[1], rgb[2], a[3] )
|
||||
|
||||
# For some things, we will need to add a border and then add this to the layer.
|
||||
layer_border = None
|
||||
if self._tag == "landuse":
|
||||
if self._value == "forest" or self._value == "farmland":
|
||||
osm_edge = osm_edge.filter(ImageFilter.ModeFilter(size=15))
|
||||
osm_edge = osm_edge.filter(ImageFilter.BoxBlur(radius=2))
|
||||
layer_border = self.genborder(osm_edge, "landuse", "meadow")
|
||||
layer_comp.alpha_composite(layer_border)
|
||||
|
||||
# Store layer
|
||||
if self._is_completion == False:
|
||||
layer_comp.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer.png" )
|
||||
if self._is_completion == True:
|
||||
layer_comp.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_tile-completion_layer.png" )
|
||||
#layer_final.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer.png" )
|
||||
mstr_msg("mstr_layergen", "Layer image finalized and saved.")
|
||||
|
||||
|
||||
# Let's try our hand at pseudo shadows
|
||||
if mstr_shadow_enabled == True:
|
||||
shadow = Image.new("RGBA", (self._imgsize, self._imgsize))
|
||||
for sh in mstr_shadow_casters:
|
||||
if self._tag == sh[0] and self._value == sh[1]:
|
||||
mstr_msg("mstr_layergen", "Generating shadow for layer")
|
||||
shadow = Image.new("RGBA", (self._imgsize, self._imgsize))
|
||||
shadow_pix = shadow.load()
|
||||
mask_pix = osm_mask.load()
|
||||
for y in range(self._imgsize-1):
|
||||
@ -448,25 +285,185 @@ class mstr_layergen:
|
||||
shadow_pix[shf_x, y] = (0,0,0,aa)
|
||||
shadow.save(mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer_shadow.png")
|
||||
mstr_msg("mstr_layergen", "Shadow layer completed")
|
||||
|
||||
# Highways and runways of any kind get some special treatment
|
||||
if (self._tag == "highway" and self._value == "motorway") or (self._tag == "aeroway" and self._value == "runway"):
|
||||
# We will now add some white lines for coolness
|
||||
mask_pix = osm_edge.load()
|
||||
layer_comp_pix = layer_comp.load()
|
||||
for y in range(self._imgsize):
|
||||
for x in range(self._imgsize):
|
||||
if mask_pix[x, y][3] > 0:
|
||||
# Find a suitable color
|
||||
w = randrange(185, 215)
|
||||
a=mask_pix[x,y]
|
||||
layer_comp_pix[x, y] = ( w,w,w,a[3] )
|
||||
|
||||
mstr_msg("mstr_layergen", "Street lines added")
|
||||
|
||||
# Store layer
|
||||
layer_comp.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer.png" )
|
||||
mstr_msg("mstr_layergen", "Layer image finalized and saved.")
|
||||
|
||||
# Check if pixels touch the borders of the image, and if so -
|
||||
# make a not of that in the database.
|
||||
at=False
|
||||
ar=False
|
||||
ab=False
|
||||
al=False
|
||||
layer_pix = layer_comp.load() # <- Just to be safe
|
||||
|
||||
# Top scan
|
||||
for i in range(0, self._imgsize-1):
|
||||
p = layer_pix[i,0]
|
||||
if p[3] > 0:
|
||||
at=True
|
||||
break
|
||||
|
||||
# Right scan
|
||||
for i in range(0, self._imgsize-1):
|
||||
p = layer_pix[self._imgsize-1,i]
|
||||
if p[3] > 0:
|
||||
ar=True
|
||||
break
|
||||
|
||||
# Bottom scan
|
||||
for i in range(0, self._imgsize-1):
|
||||
p = layer_pix[i,self._imgsize-1]
|
||||
if p[3] > 0:
|
||||
ab=True
|
||||
break
|
||||
|
||||
# Left scan
|
||||
for i in range(0, self._imgsize-1):
|
||||
p = layer_pix[1,i]
|
||||
if p[3] > 0:
|
||||
al=True
|
||||
break
|
||||
|
||||
# Construct DB String
|
||||
adjstr = ""
|
||||
if at==True: adjstr = adjstr + "t"
|
||||
if ar==True: adjstr = adjstr + "r"
|
||||
if ab==True: adjstr = adjstr + "b"
|
||||
if al==True: adjstr = adjstr + "l"
|
||||
|
||||
# Store into DB - but only if there is something to store
|
||||
if adjstr != "":
|
||||
if self._is_completion == False:
|
||||
self._tiledb.insert_info(self._lat_number, self._lng_number, self._tag, self._value, src, adjstr)
|
||||
if self._is_completion == True:
|
||||
self._tiledb.insert_completion_info(self._lat_number, self._lng_number, self._tag, self._value, src, adjstr)
|
||||
self._tiledb.commit_query()
|
||||
self._tiledb.close_db()
|
||||
mstr_msg("mstr_layergen", "Adjacency info stored in database")
|
||||
|
||||
|
||||
# If we encounter one of these road-specific tags, we need to proceed differently.
|
||||
|
||||
if self._isline == True or self._tag == "building":
|
||||
|
||||
# We will need the mask in question
|
||||
osm_mask = Image.open( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + ".png" )
|
||||
|
||||
# Generate an edge mask from the original
|
||||
osm_edge = osm_mask.filter(ImageFilter.FIND_EDGES)
|
||||
osm_edge = osm_edge.filter(ImageFilter.MaxFilter)
|
||||
mstr_msg("mstr_layergen", "Edge mask generated")
|
||||
|
||||
# As above, we will apply the blur as noted in the defines
|
||||
for i in mstr_mask_blur:
|
||||
if i[0] == self._tag and i[1] == self._value:
|
||||
osm_mask = osm_mask.filter(ImageFilter.BoxBlur(radius=i[2]))
|
||||
break
|
||||
osm_edge = osm_edge.filter(ImageFilter.BoxBlur(radius=1))
|
||||
|
||||
|
||||
# And now for the Big Mac.
|
||||
# Generate the layer from the mask. Same as above - except!
|
||||
# This time we have no source material - instead we will fill the
|
||||
# mask with a color that is appropriate for this street type.
|
||||
layer_comp = Image.new("RGBA", (self._imgsize, self._imgsize))
|
||||
mask_pix = osm_mask.load()
|
||||
edge_pix = osm_edge.load()
|
||||
layer_comp_pix = layer_comp.load()
|
||||
for y in range(self._imgsize):
|
||||
for x in range(self._imgsize):
|
||||
if mask_pix[x, y][3] > 0:
|
||||
a=mask_pix[x,y]
|
||||
e=edge_pix[x,y]
|
||||
# Find a suitable color
|
||||
d = 0
|
||||
if self._tag == "aeroway" and self._value == "runway":
|
||||
# It seems only runways with any other surface than concrete
|
||||
# are mentioned in OSM. So we need to make sure when to render
|
||||
# "concrete" and when to leave it. Only sometimes the word
|
||||
# "asphalt" is mentioned
|
||||
if rw_surface == "" or rw_surface == "asphalt":
|
||||
d = randrange(81, 101)
|
||||
layer_comp_pix[x, y] = ( d,d,d,a[3] )
|
||||
if self._tag == "railway":
|
||||
d = randrange(41, 61)
|
||||
layer_comp_pix[x, y] = ( d,d,d,a[3] )
|
||||
if self._tag == "highway":
|
||||
d = randrange(81, 101)
|
||||
layer_comp_pix[x, y] = ( d,d,d,a[3] )
|
||||
if self._tag == "waterway" and self._value == "stream":
|
||||
d = randrange(1, 15)
|
||||
layer_comp_pix[x, y] = ( 19-d, 62-d, 71-d, a[3] )
|
||||
if self._tag == "building":
|
||||
r = randrange(1, 20)
|
||||
|
||||
if self._value == "yes":
|
||||
d = (116-r, 117-r,135-r)
|
||||
layer_comp_pix[x, y] = ( d[0], d[1], d[2], a[3] )
|
||||
if e[3] > 0:
|
||||
b = (96-r, 97-r, 115-r)
|
||||
layer_comp_pix[x, y] = ( b[0],b[1],b[2],e[3] )
|
||||
|
||||
if self._value == "office" or self._value == "retail":
|
||||
d = (100-r, 100-r, 100-r)
|
||||
layer_comp_pix[x, y] = ( d[0], d[1], d[2], a[3] )
|
||||
if e[3] > 0:
|
||||
b = (80-r, 80-r, 80-r)
|
||||
layer_comp_pix[x, y] = ( b[0],b[1],b[2],e[3] )
|
||||
|
||||
if self._value == "industrial":
|
||||
d = (166-r, 170-r, 175-r)
|
||||
layer_comp_pix[x, y] = ( d[0], d[1], d[2], a[3] )
|
||||
if e[3] > 0:
|
||||
b = (146-r, 150-r, 155-r)
|
||||
layer_comp_pix[x, y] = ( b[0],b[1],b[2],e[3] )
|
||||
|
||||
if self._value == "track" or self._value == "path":
|
||||
d = randrange(1,20)
|
||||
r = 164 - d
|
||||
g = 159 - d
|
||||
b = 138 - d
|
||||
layer_comp_pix[x, y] = ( r,g,b,a[3] )
|
||||
mstr_msg("mstr_layergen", "Layer image generated")
|
||||
|
||||
# Building shadow
|
||||
if mstr_shadow_enabled == True:
|
||||
if self._tag == "building":
|
||||
mstr_msg("mstr_layergen", "Generating shadow for layer")
|
||||
shadow = Image.new("RGBA", (self._imgsize, self._imgsize))
|
||||
shadow_pix = shadow.load()
|
||||
mask_pix = osm_mask.load()
|
||||
for y in range(self._imgsize-1):
|
||||
for x in range(self._imgsize-1):
|
||||
m = mask_pix[x,y]
|
||||
shf_x = x + mstr_shadow_shift
|
||||
if shf_x <= self._imgsize-1:
|
||||
a = mask_pix[x,y][3]
|
||||
st = random.uniform(0.45, mstr_shadow_strength)
|
||||
ca = a * st
|
||||
aa = int(ca)
|
||||
shadow_pix[shf_x, y] = (0,0,0,aa)
|
||||
shadow.save(mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer_shadow.png")
|
||||
mstr_msg("mstr_layergen", "Shadow layer completed")
|
||||
|
||||
# Highways and runways of any kind get some special treatment
|
||||
if (self._tag == "highway" and self._value == "motorway") or (self._tag == "aeroway" and self._value == "runway"):
|
||||
# We will now add some white lines for coolness
|
||||
mask_pix = osm_edge.load()
|
||||
layer_comp_pix = layer_comp.load()
|
||||
for y in range(self._imgsize):
|
||||
for x in range(self._imgsize):
|
||||
if mask_pix[x, y][3] > 0:
|
||||
# Find a suitable color
|
||||
w = randrange(185, 215)
|
||||
a=mask_pix[x,y]
|
||||
layer_comp_pix[x, y] = ( w,w,w,a[3] )
|
||||
|
||||
mstr_msg("mstr_layergen", "Street lines added")
|
||||
|
||||
# Store layer
|
||||
layer_comp.save( mstr_datafolder + "_cache\\" + str(self._latitude) + "-" + str(self._lat_number) + "_" + str(self._longitude) + "-" + str(self._lng_number) + "_" + self._tag + "-" + self._value + "_layer.png" )
|
||||
mstr_msg("mstr_layergen", "Layer image finalized and saved.")
|
||||
|
||||
|
||||
|
||||
|
||||
@ -122,7 +122,6 @@ class mstr_orthographic:
|
||||
lg.genlayer()
|
||||
mstr_msg("mstr_orthographic", "All layers created")
|
||||
|
||||
|
||||
# We should have all layers now.
|
||||
# Snap a photo with our satellite :)
|
||||
mstr_msg("mstr_orthographic", "Generating ortho photo")
|
||||
|
||||
@ -42,6 +42,7 @@ class mstr_photogen:
|
||||
|
||||
# First, we walk through all layers and blend them on top of each other, in order
|
||||
mstr_msg("mstr_photogen", "Merging layers")
|
||||
|
||||
for l in mstr_ortho_layers:
|
||||
if os.path.isfile(root_filename + l[0] + "-" + l[1] + "_layer.png"):
|
||||
# Need to divert in case we have shadows
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user