David Mertz writes:
> On Sun, Jul 5, 2020 at 2:37 PM Stephen J. Turnbull <
> turnbull.stephen...@u.tsukuba.ac.jp> wrote:
>
> > > Are you saying that people who split infinitives are usually
> > > black,
> >
> > Of course not. Base rates suggest they're mostly white.
> >
>
> I think t
>
> I'm using my mailer's "ignore thread" feature and counting on the fact
> that the flamers will eventually exhaust themselves (most already have).
>
Yep, not all threads are going to be equally worthwhile for everyone to
read. If a thread is going nowhere productive, the best course of action i
This list if for developing the next version of Python, not for
providing help with using Python. I suggest you use a Sift-specific
mailing list for help with Sift.
Eric
On 7/6/2020 4:54 AM, hamza naeem wrote:
Hi , I am making a classifier which basically scans the historical
places and detec
Hi , I am making a classifier which basically scans the historical places
and detects them .I am using SIFT for taking features of images and then
passing them to the neural network . Features are 128 dimensional and model
is trained with 97% accuracy but when i am using Single image prediction it
I'm using my mailer's "ignore thread" feature and counting on the fact that the
flamers will eventually exhaust themselves (most already have).
On 06.07.2020 8:41, Christian Heimes wrote:
Y'all,
trigger warning: strong opinion
The Urban Dictionary defines the term "tire fire":
A horrifyin
Thanks for your advice! I confirm that raw GitHub code search is
painful with all copies of CPython code base :-(
I copied your notes in my
https://pythondev.readthedocs.io/test_next_python.html list :-)
victor
Le dim. 5 juil. 2020 à 07:55, Inada Naoki a écrit :
>
> Hi, folks.
>
> After 3.9 bec
