1)局部名字空间 - 特指当前函数或类的方法。如果函数定义了一个局部变量 x, 或一个参数 x,Python 将使用它,然后停止搜索。 2)全局名字空间 - 特指当前的模块。如果模块定义了一个名为 x 的变量,函数或类,Python 将使用它然后停止搜索。 3)内置名字空间 - 对每个模块都是全局的。作为最后的尝试,Python 将...
super().__init__() self.learn = 'Python' def say(self): print('我是%s,我在学习%s。' % (self.name, self.learn)) SubClass().say() # 显示输出结果为:我是小楼,我在学习Python。 1. 2. 3. 4. 5. 6. 7. 8. 9. 并且,不管有多少个超类,都只需要一个super()函数,就能够访问所有超类...
我的目标是使用Python从nifty(.nii)格式获取.obj文件,并将其用于Unity。我知道“scikit-image”包有一个叫做“measure”的模块,其中实现了Marching cube算法。我将Marching cube算法应用到我的数据上,并获得了我期望的结果: verts, faces, normals, values = measure.marching_cubes_lewiner(nifty_data, 0) 我可...
# 需要導入模塊: from skimage import measure [as 別名]# 或者: from skimage.measure importmarching_cubes[as 別名]defplot_3d(image, threshold=-300):# Position the scan upright,# so the head of the patient would be at the top facing the camerap = image.transpose(2,1,0)#p = imageverts,...
在下文中一共展示了vtkMarchingCubes函数的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。 示例1: __init__ ▲点赞 9▼ def__init__(self, volume, level=None):self._surface_algorithm =Noneself._renderer =Nonesel...
PyMCubesis an implementation of the marching cubes algorithm to extract iso-surfaces from volumetric data. The volumetric data can be given as a three-dimensionalNumPyarray or as a Python functionf(x, y, z). PyMCubesalso provides functions to export the results of the marching cubes in a nu...
Python skimage.measure.marching_cubes() Examples The following are 7 code examples of skimage.measure.marching_cubes(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You...
CuMCubesis anCUDAimplementation of the marching cubes algorithm to extract iso-surfaces from volumetric data. The volumetric data can be given as a three-dimensionaltorch.Tensoror as a Python functionf(x, y, z). Requirements The enviroment of my developer machine: ...
在新版本中，有两个方法marching_cubes_lewiner和marching_cubes_classic。但是classic不带step_size参数。
To draw it, you need to know theboundary, i.e. the points between positive and negative, where the function crosses zero. The Marching Cubes algorithm takes such a function, and produces a polygonal approximation to the boundary, which can then be used for rendering. In 2d, this boundary ...