sharedctypes numpy
【摘要】
import ctypesfrom multiprocessing import sharedctypes import numpy as npimport cv2, multiprocessingimport time def show_image(images): i=0 while 1: if len(images)>i: prin...
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import ctypes
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from multiprocessing import sharedctypes
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import numpy as np
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import cv2, multiprocessing
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import time
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def show_image(images):
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i=0
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while 1:
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if len(images)>i:
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print(i)
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cv2.imshow("a",images[i])
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cv2.waitKey(1)
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i+=1
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def make_array(shape=(1,), dtype=np.uint8, shared=False, fill_val=None):
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start = time.time()
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np_type_to_ctype = {np.float32: ctypes.c_float,
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np.float64: ctypes.c_double,
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np.bool: ctypes.c_bool,
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np.dtype('uint8'): ctypes.c_ubyte,
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np.uint8: ctypes.c_ubyte,
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np.uint64: ctypes.c_ulonglong}
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if not shared:
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np_arr = np.empty(shape, dtype=dtype)
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else:
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numel =int(np.prod(shape))
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arr_ctypes = sharedctypes.RawArray(np_
文章来源: blog.csdn.net,作者:网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/88929975
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