mirror-github-bspeice/cuburn
1
0
Fork 0
mirror of https://github.com/stevenrobertson/cuburn.git synced 2025-02-05 03:30:05 -05:00
Code Issues Actions Packages Projects Releases Wiki Activity

Use functions for palette instead of silly objects

Browse Source
This commit is contained in:
Steven Robertson 2011-12-17 18:45:33 -05:00
parent 3b29bb2dc2
commit 529bf48982
2 changed files with 24 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

33
cuburn/genome.py
View File

@ -80,15 +80,28 @@ class SplEval(object):
return self.knots[1][0]
return list(self.knots.T.flat)
class Palette(object):
def __init__(self, datastrs):
if datastrs[0] != 'rgb8':
raise NotImplementedError
self.width = 256
raw = base64.b64decode(''.join(datastrs[1:]))
pal = np.reshape(np.fromstring(raw, np.uint8), (256, 3))
self.data = np.ones((256, 4), np.float32)
self.data[:,:3] = pal / 255.0
def palette_decode(datastrs):
"""
Decode a palette (stored as a list suitable for JSON packing) into a
palette. Internal palette format is simply as a (256,4) array of [0,1]
RGBA floats.
"""
if datastrs[0] != 'rgb8':
raise NotImplementedError
raw = base64.b64decode(''.join(datastrs[1:]))
pal = np.reshape(np.fromstring(raw, np.uint8), (256, 3))
data = np.ones((256, 4), np.float32)
data[:,:3] = pal / 255.0
return data
def palette_encode(data, format='rgb8'):
"""
Encode an internal-format palette to an external representation.
"""
if format != 'rgb8':
raise NotImplementedError
enc = base64.b64encode(np.uint8(data*255.0))
return ['rgb8'] + [enc[i:i+64] for i in range(0, len(enc), 64)]
class _AttrDict(dict):
def __getattr__(self, name):
@ -126,7 +139,7 @@ class Genome(_AttrDict):
_AttrDict._wrap(v)
self[k] = v
self.decoded_palettes = map(Palette, self.palettes)
self.decoded_palettes = map(palette_decode, self.palettes)
pal = self.color.palette_times
if isinstance(pal, basestring):
self.palette_times = [(0.0, int(pal)), (1.0, int(pal))]

2
cuburn/render.py
View File

@ -251,7 +251,7 @@ class Renderer(object):
palint_times.fill(1e10)
palint_times[:len(ptimes)] = ptimes
d_palint_times = cuda.to_device(palint_times)
pvals = [genome.decoded_palettes[i].data for i in pidxs]
pvals = [genome.decoded_palettes[i] for i in pidxs]
d_palint_vals = cuda.to_device(np.concatenate(pvals))
if self.acc_mode in ('deferred', 'atomic'):