Hello,
I am not sure that this is correct group for my problem but I hope someone can
help me :)
I try to analyze picture with porous material
(https://python.neocast.eu/disc.png). I calculate a total quantity of each
pores but I would like also calculate a porosity. To make I need a size of
Hi Pawel,
I would recommend scikit-image for these types of analysis. Here's a start:
---
from skimage import io, measure
import numpy as np
image = io.imread('disc.png')
thresholded = image > 10
labels = measure.label(image)
regions = measure.regionprops(labels)
regions_small = [r for r in reg
Have any of the numpy devs weighed in on this? If an efficient version of
this were available in numpy there is a lot of pandas code I would enjoy
ripping out.
On Sun, Jan 2, 2022 at 11:16 AM Joseph Fox-Rabinovitz <
jfoxrabinov...@gmail.com> wrote:
> Is there a guide on how to pacakage non-ufunc
Hi everyone,
The team at Inria, with the help of the Inria learning lab, will soon be
opening the 2nd edition of the "Machine Learning with scikit-learn" MOOC:
https://www.fun-mooc.fr/en/courses/machine-learning-python-scikit-learn/
The content of the MOOC is visible here (we are still polishing
On 1/20/22, Francesc Alted wrote:
> On Wed, Jan 19, 2022 at 7:48 PM Francesc Alted wrote:
>
>> On Wed, Jan 19, 2022 at 6:58 PM Stanley Seibert
>> wrote:
>>
>>> Given that this seems to be Linux only, is this related to how glibc
>>> does
>>> large allocations (>128kB) using mmap()?
>>>
>>> https
