我正在尝试为 scikit-image 提交 PR,但我收到一个 Travis-CI 错误:
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
我想这可能是一个循环导入错误,但我不太知道如何解决这个问题。我已经将frangi_filter
和hessian_filter
包含在过滤器的模块__init__.py
中。
我也尝试了相对导入,这导致了同样的错误。
如何进行正确的导入,以便解决循环导入问题?
解决这个问题的一个丑陋的技巧是将该导入移动到函数内部,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
您可能希望为hessian_matrix
和hessian_matrix_eigvals
创建单独的"代理"函数,以免导入污染每个函数。