# trouble with relative / absolute functions import in scikit-image

• Last Update :
• Techknowledgy :

One ugly hack to resolve this would be to move that import inside the function, like

```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```

Suggestion : 2

Histogram from which to determine the threshold, and optionally a corresponding array of bin center intensities. An alternative use of this function is to pass it only hist.,This function uses the Difference of Gaussians method for applying band-pass filters to multi-dimensional arrays. The input array is blurred with two Gaussian kernels of differing sigmas to produce two intermediate, filtered images. The more-blurred image is then subtracted from the less-blurred image. The final output image will therefore have had high-frequency components attenuated by the smaller-sigma Gaussian, and low frequency components will have been removed due to their presence in the more-blurred intermediate.,Standard deviation for Gaussian kernel. The standard deviations of the Gaussian filter are given for each axis as a sequence, or as a single number, in which case it is equal for all axes.,Histogram from which to determine the threshold, and optionally a corresponding array of bin center intensities. If no hist provided, this function will compute it from the image.

```>>> image = np.array([1, 2, 3, 2, 1, 2, 1, 3, 2]) >>>
apply_hysteresis_threshold(image, 1.5, 2.5).astype(int)
array([0, 1, 1, 1, 0, 0, 0, 1, 1])```
```>>> from skimage.data
import camera, astronaut
>>>
from skimage.filters
import butterworth
>>>
high_pass = butterworth(camera(), 0.07, True, 8) >>>
low_pass = butterworth(astronaut(), 0.01, False, 4, channel_axis = -1)```
```>>> from skimage.data
import astronaut
>>>
from skimage.filters
import difference_of_gaussians
>>>
filtered_image = difference_of_gaussians(astronaut(), 2, 10,
...channel_axis = -1)```
```>>> filtered_image = difference_of_gaussians(astronaut(), 2,
...channel_axis = -1)```
```>>> from skimage.data
import camera
>>>
filtered_image = difference_of_gaussians(camera(), (2, 5), (3, 20))```
```>>> from skimage
import data
>>>
camera = data.camera() >>>
from skimage
import filters
>>>
edges = filters.farid(camera)```

Suggestion : 3

Last Updated : 29 Dec, 2018,Technical Scripter 2018

Output:

`3.141592653589793`

Syntax of import statements :
User can import both packages and modules. (Note that importing a package essentially imports the package’s `__init__.py` file as a module.) User can also import specific objects from a package or module.
There are generally two types of import syntax. When you use the first one, you import the resource directly.

`import gfg`

When user uses the second syntax, then user import the resource from another package or module.

```from gfg
import geek```