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Merge pull request #1533 from CounterPillow/png-it-modernisation

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Modernise png-it.py and make it less weird
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Nicolas F
2019-03-13 17:09:27 +01:00
committed by GitHub
parent d742c15a1c 2c1ce0d522
commit daa25d80fd
1 changed files with 109 additions and 103 deletions
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contrib/png-it.py
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@@ -1,133 +1,135 @@
"""
Outputs a huge PNG file using the tiles from a overviewer map.
Outputs one huge PNG file using the tiles from an Overviewer map.
"""
from optparse import OptionParser
from PIL import Image
from os.path import join, split, exists
from glob import glob
from __future__ import print_function
import sys
from argparse import ArgumentParser
from glob import glob
from os.path import exists, join, split
from PIL import Image
def main():
usage = 'usage: %prog [options] <tile-set-folder>'
parser = ArgumentParser()
parser = OptionParser(description='',\
prog = 'png_it', version='0.0.1', usage=usage)
parser.add_argument('--memory-limit', '-m', metavar='SIZE', type=int, dest='memory_limit',
required=True, help="Limit the amount of RAM to use in MiB. If it is "
"expected that we'll exceed the limit, the script will abort.")
parser.add_argument('--zoom-level', '-z', metavar='LEVEL', type=int, dest='zoom_level',
required=True, help="Which zoom level to use from the Overviewer map. "
"NOTE: the RAM usage will increase exponentially with the zoom level.")
parser.add_argument('--crop', '-c', metavar='CROP', type=int, dest='crop', default=0,
help="Crop a frame around the image, as a percentage of the original. "
"For example in a image of 1000x2000 pixels, a 10%% crop will crop 100 "
"pixels in the left and right sides and 200 pixels in the bottom and "
"top sides. NOTE: this is not exact but will be rounded to the nearest "
"Overviewer map tile.")
parser.add_argument('--center', '-e', metavar='X,Y', dest='center', default=None,
help="Mark what will be the center of the image, two comma separated "
"percentage values.")
parser.add_argument('--autocrop', '-a', dest='autocrop', default=False, action='store_true',
help="Calculate the center and crop vales automatically to show all the "
"tiles in the smallest possible image size. Unless you want a very "
"specific image this option is recommended.")
parser.add_argument('--output', '-o', type=str, dest='output', default="output.png",
metavar='OUTPUT', help="Path for the resulting PNG. The image will be "
"saved as a PNG file, no matter what extension you use.")
parser.add_argument('tileset', metavar='TILESET')
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 = '<memory>', 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 = '<zoom-level>', type = int, dest = 'zoom_level', default = None)
args = parser.parse_args()
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 = '<crop>', type = int, dest = 'crop', default = 0)
if args.autocrop and (args.center or args.crop):
parser.error("You cannot specify --center or --crop with --autocrop.")
parser.add_option('--center', '-e', help = 'Mark what will be the center of the image, two percentage values comma separated',\
metavar = '<center>', 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 = '<output>', 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))
if args.output != '-':
folder, filename = split(args.output)
if folder != '' and not exists(folder):
parser.error("The destination folder '{0}' doesn't exist.".format(folder))
# calculate stuff
n = options.zoom_level
n = args.zoom_level
length_in_tiles = 2**n
tile_size = (384,384)
px_size = 4 # bytes
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 = args.tileset
for i in range(args.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?"
print("Error! No images found in this zoom level. Is this really an Overviewer tile set "
"directory?", file=sys.stderr)
sys.exit(1)
# autocrop will calculate the center and crop values automagically
if options.autocrop:
if args.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
print("Checking tiles for autocrop calculations:", file=sys.stderr)
# get the maximum and minimum tiles coordinates of the map
for path in all_images:
t = get_tuple_coords(options, path)
c = get_tile_coords_from_tuple(options, t)
t = get_tuple_coords(args, path)
c = get_tile_coords_from_tuple(args, 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)
if (counter % 100 == 0 or counter == total or counter == 1):
print("Checked {0} of {1}.".format(counter, total), file=sys.stderr)
# 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)))
center = (int((min_x + max_x) / 2.0), int((min_y + max_y) / 2.0))
# see the next next comment to know what center_vector is
center_vector = (int(center[0] - (length_in_tiles / 2.0 - 1)),
int(center[1] - (length_in_tiles / 2.0 - 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
# 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(",")
if args.center:
center_x, center_y = args.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.))
center_tile_x = int(2**n * (center_x / 100.0))
center_tile_y = int(2**n * (center_y / 100.0))
center_vector = (int(center_tile_x - length_in_tiles / 2.0),
int(center_tile_y - length_in_tiles / 2.0))
else:
center_vector = (0,0)
center_vector = (0, 0)
# crop if needed
tiles_to_crop = int(2**n*(options.crop/100.))
tiles_to_crop = int(2**n * (args.crop / 100.0))
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])
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."
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]), file=sys.stderr)
print("A total of {0} MB of memory will be used.".format(mem / 1024**2), file=sys.stderr)
if mem / 1024.0**2.0 > args.memory_limit:
print("Error! The expected RAM usage exceeds the specified limit. Exiting.",
file=sys.stderr)
sys.exit(1)
# Create a new huge image
@@ -136,52 +138,54 @@ def main():
# Paste ALL the images
total = len(all_images)
counter = 0
print "Pasting images:"
print("Pasting images:", file=sys.stderr)
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)
t = get_tuple_coords(args, path)
x, y = get_cropped_centered_img_coords(args, 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")
if (counter % 100 == 0 or counter == total or counter == 1):
print("Pasted {0} of {1}.".format(counter, total), file=sys.stderr)
print("Done!", file=sys.stderr)
print("Saving image... (this may take a while)", file=sys.stderr)
final_img.save(args.output if args.output != '-' else sys.stdout, "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
""" 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]
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
""" 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)
x += 2**(z - n)
elif i == 2:
y += 2**(z-n)
y += 2**(z - n)
elif i == 3:
x += 2**(z-n)
y += 2**(z-n)
x += 2**(z - n)
y += 2**(z - n)
n += 1
return (x,y)
return (x, y)
def get_tuple_coords(options, path):
""" Extracts the "quadtree coordinates" (the numbers in the folder
@@ -189,7 +193,7 @@ def get_tuple_coords(options, path):
The upper most folder is in the left of the tuple."""
l = []
path, head = split(path)
head = head.split(".")[0] # remove the .png
head = head.split(".")[0] # remove the .png
l.append(int(head))
for i in range(options.zoom_level - 1):
path, head = split(path)
@@ -198,8 +202,9 @@ def get_tuple_coords(options, path):
l.reverse()
return tuple(l)
def get_image(tileset, t):
""" Returns the path of an image, takes a tuple with the
""" 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
@@ -208,5 +213,6 @@ def get_image(tileset, t):
path += ".png"
return path
if __name__ == '__main__':
main()