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
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
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 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
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
