-
Notifications
You must be signed in to change notification settings - Fork 290
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Added temporary test file for palette work
- Loading branch information
Showing
1 changed file
with
86 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,86 @@ | ||
from struct import unpack, pack | ||
from numpy import zeros, uint8, sqrt as nsqrt | ||
from math import log, ceil | ||
|
||
try: | ||
from PIL import Image, ImagePalette | ||
except: | ||
import Image, ImagePalette | ||
|
||
def load_palette(filename): | ||
""" Load colors from a Photoshop .act file, return an Nx3 uint8 palette array. | ||
""" | ||
bytes = open(filename, 'r').read() | ||
count, transparent = unpack('!HH', bytes[768:772]) | ||
palette = zeros((count, 3), dtype=uint8) | ||
|
||
for offset in range(0, count): | ||
if offset == transparent: | ||
rgb = 0xff, 0x99, 0x00 | ||
else: | ||
rgb = unpack('!BBB', bytes[offset*3:offset*3+3]) | ||
|
||
palette[offset,:] = rgb | ||
|
||
return palette, transparent | ||
|
||
def palette_color(r, g, b, palette): | ||
""" Return best palette match index. | ||
Find the closest color in the palette based on dumb euclidian distance, | ||
assign its index in the palette to a mapping from 24-bit color tuples. | ||
""" | ||
distances = (palette[:,0] - r)**2 + (palette[:,1] - g)**2 + (palette[:,2] - b)**2 | ||
distances = list(nsqrt(distances)) | ||
|
||
return distances.index(min(distances)) | ||
|
||
def palettize(image, palette, t_index): | ||
""" Apply an Nx3 palette array to an image, return it and calculate bit depth. | ||
""" | ||
image = image.convert('RGBA') | ||
pixels = image.tostring() | ||
palette = palette.astype(float) | ||
t_index = (t_index <= 0xff) and pack('!B', t_index) or None | ||
mapping = {} | ||
indexes = [] | ||
|
||
for offset in range(0, len(pixels), 4): | ||
r, g, b, a = unpack('!BBBB', pixels[offset:offset+4]) | ||
|
||
if a < 0x80 and t_index is not None: | ||
# Sufficiently transparent | ||
indexes.append(t_index) | ||
continue | ||
|
||
try: | ||
indexes.append(mapping[(r, g, b)]) | ||
|
||
except KeyError: | ||
# Never seen this color | ||
mapping[(r, g, b)] = pack('!B', palette_color(r, g, b, palette)) | ||
|
||
else: | ||
continue | ||
|
||
indexes.append(mapping[(r, g, b)]) | ||
|
||
output = Image.fromstring('P', image.size, ''.join(indexes)) | ||
bits = int(ceil(log(palette.shape[0]) / log(2))) | ||
|
||
palette = [unpack('!B', char)[0] for char in palette.astype(uint8).data] | ||
palette += [0] * (768 - len(palette)) | ||
output.putpalette(palette) | ||
|
||
return output, bits | ||
|
||
image = Image.open('/Users/migurski/Pictures/stupid bicycle.jpg') | ||
palette, transparent = load_palette('/tmp/bicycle.act') | ||
|
||
image = Image.open('/tmp/inundation_b.png') | ||
palette, transparent = load_palette('/tmp/inundation_b.act') | ||
|
||
output, bits = palettize(image, palette, transparent) | ||
kwargs = dict(optimize=True, transparency=transparent, bits=bits) | ||
|
||
output.save('/tmp/inundation_b-P.png', **kwargs) |