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我尝试使用 CUDA 运行代码，出现此错误，系统似乎有问题

完整代码：我知道了CUDACast #10a - 你的第一个 CUDA Python 程序，没有名为 numbapro 的模块

import numpy as np
from timeit import default_timer as timer
from numba import vectorize

@vectorize(["float32(float32, float32)"], target='cuda')


def VectorAdd(a, b):
        return a + b

def main():
    N = 32000000

    A = np.ones(N, dtype=np.float32)
    B = np.ones(N, dtype=np.float32)
    C = np.zeros(N, dtype=np.float32)

    start = timer()
    C = VectorAdd(A, B)
    vectoradd_timer = timer() - start

    print("C[:5] = " + str(C[:5]))
    print("C[-5:] = " + str(C[-5:]))

    print("VectorAdd took …

我想用cv2.imshow("Otsu img", binary)而不是plt.imshow( binary)

我收到错误

完整代码：

import matplotlib.pyplot as plt
from skimage import io
from skimage.filters.rank import entropy
from skimage.morphology import disk
import numpy as np
from skimage.filters import threshold_otsu
import cv2

img = io.imread("scratch.jpg")
entropy_img = entropy(img, disk(10))
thresh = threshold_otsu(entropy_img)

binary = entropy_img <= thresh



cv2.imshow("Otsu img", binary)

cv2.waitKey(0)
cv2.destroyAllWindows()

如何修复这个错误？

 cv2.imshow("Otsu img", binary)
TypeError: mat data type = 0 is not supported