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https://github.com/stevenrobertson/cuburn.git
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80 lines
2.2 KiB
Python
80 lines
2.2 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 pprint import pprint
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from ctypes import *
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import numpy as np
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np.set_printoptions(precision=5, edgeitems=20)
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from fr0stlib.pyflam3 import *
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from fr0stlib.pyflam3._flam3 import *
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import pyglet
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import pycuda.autoinit
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from cuburn.render import *
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from cuburn.code.mwc import test_mwc
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def main(args):
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test_mwc()
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return
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with open(args[-1]) as fp:
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genomes, ngenomes = Genome.from_string(fp.read())
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anim = Animation(genomes, ngenomes)
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anim.compile()
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bins = anim.render_frame()
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w, h = anim.features.hist_width, anim.features.hist_height
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bins = bins[:,:w]
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alpha = bins[...,3]
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k2ish = (256./(np.mean(alpha)+1e-9))
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lses = 20 * np.log2(1.0 + alpha * k2ish) / (alpha+1e-6)
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bins *= lses.reshape(h,w,1).repeat(4,2)
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bins = np.minimum(bins, 255)
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bins = bins.astype(np.uint8)
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if '-g' not in args:
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return
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window = pyglet.window.Window(1600, 900)
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image = pyglet.image.ImageData(anim.features.hist_width,
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anim.features.hist_height,
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'RGBA',
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bins.tostring())
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#-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)
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image2 = pyglet.image.ImageData(256, 16, 'RGBA', pal.tostring())
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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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image2.blit(0, 0)
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@window.event
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def on_key_press(sym, mod):
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if sym == pyglet.window.key.Q:
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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]):
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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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