我们可以利用 np.lib.stride_tricks.as_strided 基于

We can leverage np.lib.stride_tricks.as_strided based scikit-image's view_as_windows for efficient patch extraction, like so -

from skimage.util.shape import view_as_windows

# Get sliding windows (these are simply views)
w = view_as_windows(s, l)

# Index with indices, i for desired output
out = w[i]

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先获取N NumPy矩阵中满足条件的每一行的值

从多维numpy数组行中选择随机窗口