cuburn/main.py

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#!/usr/bin/python
#
# flam3cuda, one of a surprisingly large number of ports of the fractal flame
# algorithm to NVIDIA GPUs.
#
# This one is copyright 2010 Steven Robertson <steven@strobe.cc>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 or later
# as published by the Free Software Foundation.
import os
import sys
from pprint import pprint
from ctypes import *
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import numpy as np
from cuburn.device_code import *
from cuburn.cuda import LaunchContext
from fr0stlib.pyflam3 import *
from fr0stlib.pyflam3._flam3 import *
from cuburn.render import *
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import pyglet
def dump_3d(nda):
with open('/tmp/data.txt', 'w') as f:
for row in nda:
f.write(' | '.join([' '.join(
['%4.1g\t' % x for x in pt]) for pt in row]) + '\n')
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def main(args):
verbose = 1
if '-d' in args:
verbose = 3
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with open(args[-1]) as fp:
genomes = Genome.from_string(fp.read())
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anim = Animation(genomes)
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anim.compile()
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bins = anim.render_frame()
w, h = anim.features.hist_width, anim.features.hist_height
bins = bins[:,:w]
alpha = bins[...,3]
k2ish = (256./(np.mean(alpha)+1e-9))
lses = 20 * np.log2(1.0 + alpha * k2ish) / (alpha+1e-6)
bins *= lses.reshape(h,w,1).repeat(4,2)
bins = np.minimum(bins, 255)
bins = bins.astype(np.uint8)
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if '-g' not in args:
return
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window = pyglet.window.Window(1600, 900)
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image = pyglet.image.ImageData(anim.features.hist_width,
anim.features.hist_height,
'RGBA',
bins.tostring())
#-anim.features.hist_stride*4)
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tex = image.texture
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pal = (anim.ctx.ptx.instances[PaletteLookup].pal * 255.).astype(np.uint8)
image2 = pyglet.image.ImageData(256, 16, 'RGBA', pal.tostring())
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@window.event
def on_draw():
window.clear()
tex.blit(0, 0)
image2.blit(0, 0)
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@window.event
def on_key_press(sym, mod):
if sym == pyglet.window.key.Q:
pyglet.app.exit()
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pyglet.app.run()
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if __name__ == "__main__":
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if len(sys.argv) < 2 or not os.path.isfile(sys.argv[-1]):
print "Last argument must be a path to a genome file"
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sys.exit(1)
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main(sys.argv)
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