• 参考：

  • https://www.geeksforgeeks.org/metaprogramming-metaclasses-python/

• 例子

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  from functools import wraps def debug(func): """decorator for debugging passed function """ @wraps(func) def wrapper(*args, **kwargs): print("Full name of this method:", func.__qualname__) return func(*args, **kwargs) return wrapper # 类装饰器 def debugmethods(cls): '''class decorator make use of debug decorator to debug class methods ''' # check in class dictionary for any callable(method) # if exist, replace it with debugged version for key, val in vars(cls).items(): if callable(val): setattr(cls, key, debug(val)) return cls # sample class @debugmethods class Calc: def add(self, x, y): return x+y def mul(self, x, y): return x*y def div(self, x, y): return x/y mycal = Calc() print(mycal.add(2, 3)) print(mycal.mul(5, 2))

工具列表：

• PDF信息提取技术的汇总（干货满满！） - 知乎

• 教程

  • https://trc.nist.gov/TDE/Equations/FEquations.html#PhaseBoundaryLG

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• OpenCV
• pillow
• scikit-image
• scipy.ndimage

• 教程

  • https://towardsdatascience.com/loading-and-saving-images-in-python-ba5a1f5058fb

  • 打开方式和性能评估

    • https://towardsdatascience.com/what-library-can-load-image-in-python-and-what-are-their-difference-d1628c6623ad

• 三种方式

  • PIL
  • opencv –> np.ndarray

  • matplotlib

• 参考