[CentralOH] focus for numpy/scipy presentations

Joe Shaw joe at joeshaw.org
Mon May 2 09:14:10 EDT 2016


On a related note, the "new hotness" for feature detection and
classification is deep neural nets, and Google's open-source Tensorflow
project makes these kinds of systems easier to write than ever before.  You
can write them in Python, leveraging numpy.

Check out https://www.tensorflow.org/versions/r0.8/get_started/index.html
for more info.


On Sun, May 1, 2016 at 11:02 AM, Eric Floehr <eric at intellovations.com>

> Neil,
> I am interested in numpy and scipy for image manipulation and analysis and
> would be interested in getting started with feature detection and image
> classification.
> Specifically for my timelapse project, I would like to identify features
> like birds, the moon, airplane lights, and of course clouds. I would also
> be interested in grouping sky images into groups automatically. You know
> that there is blue sky and completely overcast, but there are probably
> certain other types of sky and cloud cover that naturally group together
> and it would be neat to be able to identify those clusters.
> Don't know if any of that is possible, but that's my thoughts :-).
> Thanks!
> Eric
> On Sat, Apr 30, 2016 at 6:27 PM, Neil Ludban <nludban at columbus.rr.com>
> wrote:
>> At the last cohpy meeting, several people wrote down numpy and/or scipy
>> as desired topics for future presentations.  These are very broad and
>> easily turn into boring overviews of python for matlab people.  Does
>> anyone have requests for a presentation on a specific scipy module,
>> digital signal processing topic, or even an idea for a project that you
>> heard numpy/scipy would be good for but not sure how to get started?
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