Here is a simple approach to allowing the PIL to export the array
interface.
This allows NumPy to create a suitable array from a PIL image very easily:
At the top of Image.py add the following
if sys.byteorder == 'little':
_ENDIAN = '<'
else:
_ENDIAN = '>'
_MODE_CONV = {
# official modes
"1": ('|b1', None),
"L": ('|u1', None),
"I": ('%si4' % _ENDIAN, None),
"F": ('%sf4' % _ENDIAN, None),
"P": ('|u1', None),
"RGB": ('|u1', 3),
"RGBX": ('|u1', 4),
"RGBA": ('|u1', 4),
"CMYK": ('|u1', 4),
"YCbCr": ('|u1', 4),
# Experimental modes include I;16, I;16B, RGBa, BGR;15,
# and BGR;24. Use these modes only if you know exactly
# what you're doing...
}
def _conv_type_shape(im):
shape = im.size
typ, extra = _MODE_CONV[im.mode]
if extra is None:
return shape, typ
shape += (extra,)
return shape, typ
In the Image class structure add
def __get_array_interface__(self):
new = {}
shape, typestr = _conv_type_shape(self)
new['shape'] = shape
new['typestr'] = typestr
new['data'] = self.tostring()
return new
__array_interface__ = property(__get_array_interface__, None,
doc="array interface")
With this addition you can then do
import Image, numpy
im = Image.open('lena.jpg')
a = numpy.asarray(im)
and you will get a suitable read-only array pointing to the string
produced by tostring.
This would be a nice thing to add to the PIL.
-Travis Oliphant
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