I was wondering if anyone has used PIL with the multiprocessing module.
I would like to do some pixel by pixel translations using the .load()
function and shared memory with the multiprocessing module.
This is the code I have so far:
def convert_to_gs_load(surf):
width, height = surf.size
pix = surf.load()
for x in range(width):
for y in range(height):
alpha = 1
red, green, blue = pix[x, y]
average = (red + green + blue) // 3
gs_color = (average, average, average, alpha)
pix[x, y] = gs_color
def convert_to_gs_load_mp(surf):
width, height = surf.size
pix = surf.load()
t1 = multiprocessing.Process(target=gs_load, args=(pix, width, 0,
height / 4))
t2 = multiprocessing.Process(target=gs_load, args=(pix, width, height /
4, height / 2))
t3 = multiprocessing.Process(target=gs_load, args=(pix, width, height /
2, 3 * height / 4))
t4 = multiprocessing.Process(target=gs_load, args=(pix, width, 3 *
height / 4, height))
threads = [t1, t2, t3, t4]
for thread in threads:
thread.start()
for thread in threads:
thread.join()
The problem is the 'pix' object is not in shared memory, so this doesn't
work. Is there a way I could use Value or Array to store the object?
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