在scikit-image中导入相对/绝对函数时出现问题

Question

我正在尝试为scikit-image提交PR，但我得到了Travis-CI error：

  Traceback (most recent call last):
  File "doc/examples/edges/plot_canny.py", line 22, in <module>
    from skimage import feature
  File "/home/travis/build/scikit-image/scikit-image/skimage/feature/__init__.py", line 9, in <module>
    from .peak import peak_local_max
  File "/home/travis/build/scikit-image/scikit-image/skimage/feature/peak.py", line 3, in <module>
    from ..filters import rank_order
  File "/home/travis/build/scikit-image/scikit-image/skimage/filters/__init__.py", line 11, in <module>
    from ._frangi import frangi_filter, hessian_filter
  File "/home/travis/build/scikit-image/scikit-image/skimage/filters/_frangi.py", line 2, in <module>
    from skimage.feature import hessian_matrix, hessian_matrix_eigvals
ImportError: cannot import name hessian_matrix

我认为这可能是一个循环导入错误，但我不知道如何解决这个问题。我已经included frangi_filter和hessian_filter进入了过滤器的模块__init__.py。

我还尝试了relative导入，resulted导致了相同的错误。

如何正确导入，以便解决循环导入问题？

Answer 1

解决这个问题的一个丑陋的黑客方法是将该导入移到函数内部，例如

def hessian_filter(image, scale=(1, 10), scale_ratio=2, beta1=0.5, beta2=15):
    """
       Blah-blah-blah
    """
    from ..feature import hessian_matrix, hessian_matrix_eigvals
    # function body

您可能想要创建单独的＆＃34;代理＆＃34; hessian_matrix和hessian_matrix_eigvals的函数不会使用导入污染每个函数。