""" Outputs a huge PNG file using the tiles from a overviewer map. """ from optparse import OptionParser from PIL import Image from os.path import join, split, exists from glob import glob import sys def main(): usage = 'usage: %prog [options] ' parser = OptionParser(description='',\ prog = 'png_it', version='0.0.1', usage=usage) parser.add_option('--memory-limit', '-m', help = 'Limit the amount of ram to use in MB. If it\'s expected to exceed the limit it won\'t do anything.',\ metavar = '', type = int, dest = 'memory_limit', default = None) parser.add_option('--zoom-level', '-z', help = 'Which zoom level to use from the overviewer map. NOTE: the RAM usage will increase exponentially with the zoom level.',\ metavar = '', type = int, dest = 'zoom_level', default = None) parser.add_option('--crop', '-c', help = 'It will crop a frame around the image, give it in percentage. For example in a image of 1000x2000 pixels, a 10% crop will crop 100 pixels in the left, right sides and 200 pixels in the bottom and top sides. NOTE: this is no exact, it will be rounded to the nearest overviewer map tile.',\ metavar = '', type = int, dest = 'crop', default = 0) parser.add_option('--center', '-e', help = 'Mark what will be the center of the image, two percentage values comma separated',\ metavar = '
', type = str, dest = 'center', default = None) parser.add_option('--autocrop', '-a', help = 'Calculates the center and crop vales automatically to show all the tiles in the minimun image size.Unless you want a very specific image this options is very recommendedable.',\ action = 'store_true', dest = 'autocrop', default = False) parser.add_option('--output', '-o', help = 'Path for the resulting PNG. It will save it as PNG, no matter what extension do you use.',\ metavar = '', type = str, dest = 'output', default = "output.png") (options, args) = parser.parse_args() # arg is overviewer tile set folder if len(args) > 1: parser.error("Error! Only one overviewer tile set accepted as input. Use --help for a complete list of options.") if not args: parser.error("Error! Need an overviewer tile set folder. Use --help for a complete list of options.") tileset = args[0] #set the tileset dir after ensuring it's been provided, not before. if not options.zoom_level: parser.error("Error! The option zoom-level is mandatory.") if options.autocrop and (options.center or options.crop): parser.error("Error! You can't mix --autocrop with --center or --crop.") # check for the output folder, filename = split(options.output) if folder != '' and not exists(folder): parser.error("The destination folder \'{0}\' doesn't exist.".format(folder)) # calculate stuff n = options.zoom_level length_in_tiles = 2**n tile_size = (384,384) px_size = 4 # bytes # create a list with all the images in the zoom level path = tileset for i in range(options.zoom_level): path = join(path, "?") path += ".png" all_images = glob(path) if not all_images: print "Error! No images found in this zoom level. Is this really an overviewer tile set directory?" sys.exit(1) # autocrop will calculate the center and crop values automagically if options.autocrop: min_x = min_y = length_in_tiles max_x = max_y = 0 counter = 0 total = len(all_images) print "Checking tiles for autocrop calculations:" # get the maximun and minimun tiles coordinates of the map for path in all_images: t = get_tuple_coords(options, path) c = get_tile_coords_from_tuple(options, t) min_x = min(min_x, c[0]) min_y = min(min_y, c[1]) max_x = max(max_x, c[0]) max_y = max(max_y, c[1]) counter += 1 if (counter % 100 == 0 or counter == total or counter == 1): print "Checked {0} of {1}".format(counter, total) # the center of the map will be in the middle of the occupied zone center = (int((min_x + max_x)/2.), int((min_y + max_y)/2.)) # see the next next comment to know what's center_vector center_vector = (int(center[0] - (length_in_tiles/2. - 1)), int(center[1] - (length_in_tiles/2. - 1))) # I'm not completely sure why, but the - 1 factor in ^ makes everything nicer. # min_x - center_vector[0] will be the unused amount of tiles in # the left and the right of the map (and this is true because we # are in the actual center of the map) crop = (min_x - center_vector[0], min_y - center_vector[1]) else: # center_vector is the vector that joins the center tile with # the new center tile in tile coords #(tile coords are how many tile are on the left, x, and # how many above, y. The top-left tile has coords (0,0) if options.center: center_x, center_y = options.center.split(",") center_x = int(center_x) center_y = int(center_y) center_tile_x = int(2**n*(center_x/100.)) center_tile_y = int(2**n*(center_y/100.)) center_vector = (int(center_tile_x - length_in_tiles/2.), int(center_tile_y - length_in_tiles/2.)) else: center_vector = (0,0) # crop if needed tiles_to_crop = int(2**n*(options.crop/100.)) crop = (tiles_to_crop, tiles_to_crop) final_img_size = (tile_size[0]*length_in_tiles,tile_size[1]*length_in_tiles) final_cropped_img_size = (final_img_size[0] - 2*crop[0]*tile_size[0],final_img_size[1] - 2*crop[1]*tile_size[1]) mem = final_cropped_img_size[0]*final_cropped_img_size[1]*px_size # bytes! print "The image size will be {0}x{1}".format(final_cropped_img_size[0],final_cropped_img_size[1]) print "A total of {0} MB of memory will be used.".format(mem/1024**2) if mem/1024.**2. > options.memory_limit: print "Warning! The expected RAM usage exceeds the specified limit. Exiting." sys.exit(1) # Create a new huge image final_img = Image.new("RGBA", final_cropped_img_size, (26, 26, 26, 0)) # Paste ALL the images total = len(all_images) counter = 0 print "Pasting images:" for path in all_images: img = Image.open(path) t = get_tuple_coords(options, path) x, y = get_cropped_centered_img_coords(options, tile_size, center_vector, crop, t) final_img.paste(img, (x, y)) counter += 1 if (counter % 100 == 0 or counter == total or counter == 1): print "Pasted {0} of {1}".format(counter, total) print "Done!" print "Saving image... (this can take a while)" final_img.save(options.output, "PNG") def get_cropped_centered_img_coords(options, tile_size, center_vector, crop, t): """ Returns the new image coords used to paste tiles in the big image. Takes options, the size of tiles, center vector, crop value (see calculate stuff) and a tuple from get_tuple_coords. """ x, y = get_tile_coords_from_tuple(options, t) new_tile_x = x - crop[0] - center_vector[0] new_tile_y = y - crop[1] - center_vector[1] new_img_x = new_tile_x*tile_size[0] new_img_y = new_tile_y*tile_size[1] return new_img_x, new_img_y def get_tile_coords_from_tuple(options, t): """ Gets a tuple of coords from get_tuple_coords and returns the number of tiles from the top left corner to this tile. The top-left tile has coordinates (0,0) """ x = 0 y = 0 z = options.zoom_level n = 1 for i in t: if i == 1: x += 2**(z-n) elif i == 2: y += 2**(z-n) elif i == 3: x += 2**(z-n) y += 2**(z-n) n += 1 return (x,y) def get_tuple_coords(options, path): """ Extracts the "quadtree coordinates" (the numbers in the folder of the tile sets) from an image path. Returns a tuple with them. The upper most folder is in the left of the tuple.""" l = [] path, head = split(path) head = head.split(".")[0] # remove the .png l.append(int(head)) for i in range(options.zoom_level - 1): path, head = split(path) l.append(int(head)) # the list is reversed l.reverse() return tuple(l) def get_image(tileset, t): """ Returns the path of an image, takes a tuple with the "quadtree coordinates", these are the numbers in the folders of the tile set. """ path = tileset for d in t: path = join(path, str(d)) path += ".png" return path if __name__ == '__main__': main()