Allow processing data directly from cupy input.

[jcfaracco]

The example bellow does not work because it expects a numpy data from input. The code should also consider cupy data. Specially for workflows that are handling data directly from GPU.

import cupy as cp
from PIL import Image

# Here, we load in the array
# We divide the image by / 16 as it'll take too long

ar = cp.asarray(Image.open("../../data/image.jpg"))[::4,::4]

# We may use the class variant to run GLCM
from glcm_cupy import GLCM, Direction

g = GLCM(
    directions=(Direction.EAST, Direction.SOUTH_EAST),
    bin_from=256, bin_to=16).run(ar)

# Alternatively, use the function variant
from glcm_cupy import glcm

g = glcm(ar, bin_from=256, bin_to=16)

# We yield the features using constants defined in conf
from glcm_cupy.conf import CONTRAST, CORRELATION, ASM

print(g[..., CONTRAST])
print(g[..., CORRELATION])
print(g[..., ASM])

# Alternatively, since these constants are simply integers
print(g[..., 0])
print(g[..., 1])
print(g[..., 2])

It returns basically a TypeError:

TypeError: `arr_in` must be a numpy ndarray

[Eve-ning]

I see, should be a quick fix, I'll get to it this weekend

[jcfaracco]

Thanks @Eve-ning . I appreciate your help. I would not like to submit a PR because you can decide how you could implement this. If you need any help. Just let me know.