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Mmap uncompressed distance array instead of bunzipping first. Since

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we don't end up reading most of the elements again, this is faster.
This commit is contained in:
kris 2021-01-12 20:44:39 +00:00
parent 45ceb9987f
commit ebd9f94d98
1 changed files with 12 additions and 11 deletions
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23
dither.py
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@ -135,17 +135,16 @@ class CIE2000Distance(ColourDistance):
"""CIE2000 delta-E distance."""
def __init__(self):
with bz2.open("nearest.pickle.bz2", "rb") as f:
self._distances = pickle.load(f)
assert self._distances.dtype == np.uint8
@staticmethod
def _flatten_rgb(rgb):
return (rgb[..., 0] << 16) + (rgb[..., 1] << 8) + (rgb[..., 2])
def distance(self, rgb: np.ndarray, bit4: np.ndarray) -> np.ndarray:
rgb24 = self._flatten_rgb(rgb)
return self._distances[rgb24, bit4].astype(np.int)
self._distances = np.memmap("distances.npy", mode="r+",
dtype=np.uint8, shape=(16777216, 16))
#
# @staticmethod
# def _flatten_rgb(rgb):
# return (rgb[..., 0] << 16) + (rgb[..., 1] << 8) + (rgb[..., 2])
#
# def distance(self, rgb: np.ndarray, bit4: np.ndarray) -> np.ndarray:
# rgb24 = self._flatten_rgb(rgb)
# return self._distances[rgb24, bit4].astype(np.int)
class Screen:
@ -342,10 +341,12 @@ def open_image(screen: Screen, filename: str) -> np.ndarray:
# Convert to linear RGB before rescaling so that colour interpolation is
# in linear space
# XXX opt?
linear = srgb_to_linear(np.array(im, dtype=np.float32))
rescaled = Image.fromarray(
linear.astype(np.uint8)).resize(
(screen.X_RES, screen.Y_RES), Image.LANCZOS)
# XXX work with malloc'ed array?
return np.array(rescaled, dtype=np.float32)