[CentralOH] focus for numpy/scipy presentations
nludban at columbus.rr.com
Mon May 2 13:08:55 EDT 2016
I think this would make a good intro presentation:
- Load an image from a file into a numpy matrix
- Display a matrix as an image
- Basic matrix operations (select a region of interest, convert to grayscale)
- Convolution (smoothing and edge detection filters)
- Correlation (finding motion between successive images)
As others have pointed out, OpenCV already does this, but for these
functions it's really just an optimized implementation of simple
equations (actually, variations on one equation). You can still
benefit from using numpy to prepare the inputs and to reduce the
outputs. Machine learning on megapixels of input is computationally
expensive, it is common to preprocess the image in order to reduce
the amount of time needed.
Are your timelapse images available online, or could you post a small
number of representative images for me to experiment with?
On Sun, 1 May 2016 11:02:20 -0400
Eric Floehr <eric at intellovations.com> wrote:
> I am interested in numpy and scipy for image manipulation and analysis and
> would be interested in getting started with feature detection and image
> 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 :-).
> On Sat, Apr 30, 2016 at 6:27 PM, Neil Ludban <nludban at columbus.rr.com>
> > 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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