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https://github.com/stevenrobertson/cuburn.git
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63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
#!/usr/bin/python
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#
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# flam3cuda, one of a surprisingly large number of ports of the fractal flame
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# algorithm to NVIDIA GPUs.
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#
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# This one is copyright 2010 Steven Robertson <steven@strobe.cc>
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License version 2 or later
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# as published by the Free Software Foundation.
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import os
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import sys
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from ctypes import *
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import numpy as np
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from cuburnlib.device_code import IterThread
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from cuburnlib.cuda import LaunchContext
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from fr0stlib.pyflam3 import *
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from fr0stlib.pyflam3._flam3 import *
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from cuburnlib.render import *
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def main(args):
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verbose = 1
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if '-d' in args:
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verbose = 3
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ctx = LaunchContext([IterThread], block=(256,1,1), grid=(64,1), tests=True)
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ctx.compile(verbose=verbose)
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ctx.run_tests()
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with open(args[-1]) as fp:
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genomes = Genome.from_string(fp.read())
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anim = Animation(genomes)
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anim.render_frame()
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#genome.width, genome.height = 512, 512
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#genome.sample_density = 1000
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#obuf, stats, frame = genome.render(estimator=3)
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#gc.collect()
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##q.put(str(obuf))
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##p = Process(target=render, args=(q, genome_path))
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##p.start()
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#window = pyglet.window.Window()
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#image = pyglet.image.ImageData(genome.width, genome.height, 'RGB', obuf)
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#tex = image.texture
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#@window.event
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#def on_draw():
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#window.clear()
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#tex.blit(0, 0)
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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]):
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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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