Transition to image-based contour detection for resource allocation. Allocation of resources not yet implemented with this code. Contour detection requires opencv-python to be present.

defines.py

@@ -14,7 +14,7 @@
 # tiles will go. This is also the folder where the image generation sources are
 # stored.
 #mstr_datafolder = "M:/Developer/Projects/orthographic/"
-mstr_datafolder = "/home/marcus/Data/Developer/Projects/orthographic/"
+mstr_datafolder = "D:/Developer/Projects/orthographic/"
 # Switched to Linux, so path is amended
 
 

orthographic.py

@@ -297,9 +297,9 @@ class mstr_orthographic:
         mstr_msg("orthographic", "Beginning construction of tile")
 
         # Clear cache
-        tmp = glob.glob(mstr_datafolder + "_cache/*.*")
-        for t in range(0, len(tmp)):
-            os.remove(tmp[t])
+        #tmp = glob.glob(mstr_datafolder + "_cache/*.*")
+        #for t in range(0, len(tmp)):
+        #    os.remove(tmp[t])
 
         # We need to know which platform we are on
         os_platform = os.name
@@ -383,12 +383,24 @@ class mstr_orthographic:
         bb_lat = self._lat
         bb_lng = self._long
 
+        # Resource contour maps
+        contours = []
+
+        # Generate images for all resources
+        cnt_w = mlng * 20
+        cnt_h = mlat * 20
+        for l in mstr_ortho_layers:
+             if l[0] != "building":
+                cntimg = Image.new("RGBA", (cnt_w, cnt_h), (255,255,255,255))
+                contours.append([l[0], l[1], cntimg])
+        mstr_msg("orthographic", "Created base images for landuse contours")
+
         # We will now prepare the graphic tile generation. We do this by only generating
         # the masks and determine which sources to use in the actual images.
         # Previously, I downloaded all XML files in one go - but to ease the
         # stress on OSM servers and my server, we will do acquire the data
         # only for the current processed part of the tile.
-        """
+
         for lat_grid in range(1, maxlatlng[0]+1):
             for lng_grid in range(1, maxlatlng[1]+1):
                 # Adjust bounding box
@@ -410,8 +422,20 @@ class mstr_orthographic:
                         mg = mstr_maskgen( [self._lat, cur_tile_y, self._long, cur_tile_x], self._vstep, layer[0], layer[1], layer[2])
                         mask = mg._build_mask(osmxml, is_prep=True) # We need an object here
 
-                        tp = mstr_tileprep(self._lat, self._long, lat_grid, lng_grid, layer[0], layer[1], mask, False)
-                        tp._determineEdges()
+                        mask = mask.resize((20,20), Image.Resampling.BILINEAR)
+                        idx = 0
+                        for c in contours:
+                            if c[0] == layer[0] and c[1] == layer[1]:
+                                break
+                            else:
+                                idx=idx+1
+                        
+                        cnx = (lng_grid-1) * 20
+                        cny = cnt_h - (lat_grid * 20)
+                        contours[idx][2].alpha_composite(mask, dest=(cnx,cny))
+
+                        #tp = mstr_tileprep(self._lat, self._long, lat_grid, lng_grid, layer[0], layer[1], mask, False)
+                        #tp._determineEdges()
 
                     curlyr = curlyr+1
 
@@ -436,14 +460,18 @@ class mstr_orthographic:
             if cur_tile_y > top_lat:
                 top_lat = cur_tile_y
 
-        exit(1)
-        """
+
+        # Store all contour images
+        for c in contours:
+            c[2].save(mstr_datafolder + "_cache/contour_" + c[0] + "_" + c[1] + ".png")
+        mstr_msg("orthographic", "Saved contour images for each OSM tag")
+
 
         # We now need to "raytrace" the resources for correct placement
         mstr_msg("orthographic", "Performing resource plamement tracing for tile")
 
         # Let's set up an array which keeps track of all used tiles, per resource
-        
+        """
         for l in mstr_ortho_layers:
             self._tiles_visited.append([(l[0], l[1])]) # Store tag and value as tuple for each possible resource
         
@@ -469,6 +497,7 @@ class mstr_orthographic:
                     tp._setAlreadyVisitedTiles(self._tiles_visited[vstidx])
                     tp._placeTileSources(mlat, mlng)
                     self.adjust_tiles_visited(vstidx, tp._all_visited)
+        """
 
 
     # Adjust the tiles visited for one resource

tileprep.py

@@ -14,7 +14,7 @@
 # -------------------------------------------------------------------
 
 import glob
-from os import MFD_ALLOW_SEALING
+#from os import MFD_ALLOW_SEALING
 from random import randrange
 from PIL import Image
 from osmxml import *