|
1
|
|
|
#!/usr/bin/env python |
|
2
|
|
|
""" |
|
3
|
|
|
A command-line tool for spliting POV-Ray density file (DF3) |
|
4
|
|
|
to a series of separate images. |
|
5
|
|
|
|
|
6
|
|
|
""" |
|
7
|
|
|
|
|
8
|
|
|
from __future__ import print_function |
|
9
|
|
|
import sys |
|
10
|
|
|
import argparse |
|
11
|
|
|
import struct |
|
12
|
|
|
|
|
13
|
|
|
from PIL import Image |
|
|
|
|
|
|
14
|
|
|
|
|
15
|
|
|
|
|
16
|
|
|
def from_big_endian(bytestring): |
|
17
|
|
|
""" Convert big-endian bytestring to int """ |
|
18
|
|
|
bytestring = bytestring.rjust(4, b'\x00') |
|
19
|
|
|
return struct.unpack(">L", bytestring)[0] |
|
20
|
|
|
|
|
21
|
|
|
|
|
22
|
|
|
def split_by_n(seq, chunk_size): |
|
23
|
|
|
""" Generator splitting a sequence into chunks """ |
|
24
|
|
|
while seq: |
|
25
|
|
|
yield seq[:chunk_size] |
|
26
|
|
|
seq = seq[chunk_size:] |
|
27
|
|
|
|
|
28
|
|
|
|
|
29
|
|
|
def df3split(filename, prefix="layer", img_format='tga', silent=True): |
|
|
|
|
|
|
30
|
|
|
""" |
|
31
|
|
|
Split POV-Ray density file (DF3) to a series of separate images. |
|
32
|
|
|
|
|
33
|
|
|
:param filename: path to DF3 file to process |
|
34
|
|
|
:param prefix: output files prefix |
|
35
|
|
|
:param img_format: output files format (tga, png, etc.) |
|
36
|
|
|
:param silent: suppress output (info messages, progress etc.) |
|
37
|
|
|
|
|
38
|
|
|
""" |
|
39
|
|
|
with open(filename, "rb") as df3_file: |
|
40
|
|
|
# detect size |
|
41
|
|
|
header = df3_file.read(6) |
|
42
|
|
|
sizes = [from_big_endian(v) for v in split_by_n(header, 2)] |
|
43
|
|
|
width, height, num_layers = sizes |
|
44
|
|
|
if not silent: |
|
45
|
|
|
print("Size: %dx%d, %d layers" % (width, height, num_layers)) |
|
46
|
|
|
|
|
47
|
|
|
# detect byte width |
|
48
|
|
|
data = df3_file.read() |
|
49
|
|
|
byte_width = int(float(len(data)) / (width * height * num_layers)) |
|
50
|
|
|
if not silent: |
|
51
|
|
|
plural = ' s'[byte_width > 1] |
|
52
|
|
|
print("Voxel resolution: %d byte%s" % (byte_width, plural)) |
|
53
|
|
|
|
|
54
|
|
|
# parse data and save images |
|
55
|
|
|
for img_num, img_data in enumerate(split_by_n(data, width * height)): |
|
56
|
|
|
# values = split_by_n(img_data, byte_width) |
|
57
|
|
|
# pixels = [from_big_endian(v) for v in values] |
|
58
|
|
|
layer_num = str(img_num).zfill(len(str(num_layers))) |
|
59
|
|
|
img = Image.new("L", (width, height)) |
|
60
|
|
|
img.putdata(img_data) |
|
61
|
|
|
img.save("%s%s.%s" % (prefix, layer_num, img_format.lower())) |
|
62
|
|
|
percentage = float(img_num + 1) / num_layers * 100 |
|
63
|
|
|
if not silent: |
|
64
|
|
|
sys.stdout.write("Processing data [%.2f%%]\r" % percentage) |
|
65
|
|
|
sys.stdout.flush() |
|
66
|
|
|
|
|
67
|
|
|
if not silent: |
|
68
|
|
|
print("\nDone.") |
|
69
|
|
|
|
|
70
|
|
|
|
|
71
|
|
|
def main(): |
|
72
|
|
|
""" Main script execution """ |
|
73
|
|
|
parser = argparse.ArgumentParser(description=""" |
|
74
|
|
|
Split POV-Ray density file (DF3) to a series of separate images |
|
75
|
|
|
""") |
|
76
|
|
|
parser.add_argument("df3file", help="DF3 filename, including path") |
|
77
|
|
|
parser.add_argument("-t", "--format", type=str, |
|
78
|
|
|
choices=["tga", "png"], |
|
79
|
|
|
default="tga", |
|
80
|
|
|
help="Output files format") |
|
81
|
|
|
parser.add_argument("-p", "--prefix", type=str, |
|
82
|
|
|
default="layer", |
|
83
|
|
|
help="Output files prefix") |
|
84
|
|
|
parser.add_argument("-s", "--silent", help="Suppress output", |
|
85
|
|
|
default=False, action="store_true") |
|
86
|
|
|
|
|
87
|
|
|
args = parser.parse_args() |
|
88
|
|
|
|
|
89
|
|
|
df3split(args.df3file, args.prefix, args.format, args.silent) |
|
90
|
|
|
|
|
91
|
|
|
|
|
92
|
|
|
if __name__ == "__main__": |
|
93
|
|
|
main() |
|
94
|
|
|
|
a5kin /
df3tools
Loading history...