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faster convert_images.py #1

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6 changes: 4 additions & 2 deletions chapter7/eigenfaces/data/convert_images.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,9 @@
for index, filename in enumerate(files):
if index % 1000 == 0:
print index
data[index] = np.mean(imread(dirname+filename), axis=2)[::subx,::suby].flatten()
data[index] = np.mean(imread(dirname+filename)[::4,::4] , axis=2).ravel()
#data[index] = np.mean(imread(dirname+filename), axis=2)[::subx,::suby].flatten()

with open("celebA_gray_lowres.%d_%d_%d_32.bin" % (data.shape[0], dimx, dimy), "wb") as f:
f.write(ar.array("f", data.flatten()))
np.asarray(data, dtype=np.float32).tofile(f)
#f.write(ar.array("f", data.flatten()))