Hi all,
I have a transparent png file and load it with PIL:
from PIL import Image
from numpy import array
im = Image.open('foo.png')
a = array(im)
im2 = Image.fromarray(a)
It should automatically determine that the mode is 'RGBA' but it
failed to do so. And the result im2 is not a correct image. I looked
at the code of fromarray:
def fromarray(obj, mode=None):
arr = obj.__array_interface__
shape = arr['shape']
ndim = len(shape)
try:
strides = arr['strides']
except KeyError:
strides = None
if mode is None:
typestr = arr['typestr']
if not (typestr[0] == '|' or typestr[0] == _ENDIAN or
typestr[1:] not in ['u1', 'b1', 'i4', 'f4']):
raise TypeError("cannot handle data-type")
typestr = typestr[:2]
if typestr == 'i4':
mode = 'I'
elif typestr == 'f4':
mode = 'F'
elif typestr == 'b1':
mode = '1'
elif ndim == 2:
mode = 'L'
elif ndim == 3:
mode = 'RGB'
elif ndim == 4:
mode = 'RGBA'
else:
raise TypeError("Do not understand data.")
ndmax = 4
bad_dims=0
if mode in ['1','L','I','P','F']:
ndmax = 2
elif mode == 'RGB':
ndmax = 3
if ndim > ndmax:
raise ValueError("Too many dimensions.")
size = shape[:2][::-1]
if strides is not None:
obj = obj.tostring()
return frombuffer(mode, size, obj, "raw", mode, 0, 1)
it seems that when ndim is 4, the mode is set to RGBA. I'm not familiar with
the various image modes. However, I think it should be that shape[-1] == 4
instead of ndim == 4. And the same thing holds for 'RGB' and == 3.
Can anyone confirm me and fix this bug? Or correct me and provide a solution?
BTW: I'm not on this mailing list, please CC me when replying. Thanks!
--
pluskid
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