Hi guys
Afraid I won't be able to make the next meeting..again!..but id also be
interested in this.
On a slightly related topic, I'm working with someone at the uni for
plating with pyCUDA and pyOpenCl so hope to have some results on
GPU/XeonPhi and FPGA soon. As NVIDIA have given us some free Jetsons I'm
keen for others to offer some thoughts on using these frameworks. Just a
thought for a future topic and i can bring a Jetson in.
Cheers, hope all well
Dave

On Thu, Oct 9, 2014 at 5:48 PM, Safe Hammad <[email protected]>
wrote:

> On 8 October 2014 20:35, Egor Zindy <[email protected]> wrote:
>
>> Hello Safe,
>>
>> >
>> > I've only just dipped my toe into using this type of stack but I might
>> need jump in with both feet over the next few months so a talk such as this
>> would be timely for me.
>> >
>>
>> I'm happy to share what works for me. There's also Cython to consider and
>> possibly SIP https://wiki.python.org/moin/SIP if you are considering
>> interfacing C/C++ with Python.
>>
>
> Thanks, Egor. For interest, I'd also point to a talk by Ian Ozsvald I
> attended at PyconUK in which he covered his take on the soup of tools and
> techniques used to squeeze extra performance out of Python (
> http://www.slideshare.net/PyData/high-performance-python-landscape-ian-ozsvald).
> The talks were videoed (sp) so a video might be available soon.
>
> Best,
>
> Safe
>
>
>>
>> > Actually, I was also very interested in the Astronomy aspect of your
>> blog post such as what Weighted Region Ranking is (the link appears to be
>> broken),
>>
>> thanks for the heads-up on the broken link, I'll fix that. I've pretty
>> much always used Region Ranking for enhancing the contrast of biomedical
>> images.
>>
>> The reason why I used the galaxy image is because it's in the public
>> domain. Having said that, if you think RR has potential for what you do, I
>> can explain what this family of algorithms (adaptive histogram
>> equalisation) does.
>>
>> > and in particular, the FITS format and what it can do over and above
>> the more "usual" image formats".
>>
>> OK, for FITS, see
>> http://www.astropython.org/tutorial/2010/10/PyFITS-FITS-files-in-Python
>> as a starting point. Looks much more useful than anything I could say!
>>
>> More usual file formats: tifffile.py is probably the extension I use the
>> most for microscopy. Answers all my needs for reading/writing
>> multi-dimensional TIFF files, as well as the relevant metadata. Our
>> datasets are usually 5-D (time,channel,z,y,x), 8 or 16 bit unsigned ints.
>> The metadata covers pixel time, pixel resolution, time between frames, etc.
>> We can also use ImageJ / FIJI to convert any esoteric format to a
>> standardised TIFF via the Bio-formats plugin. For tifffile.py, see
>> http://www.lfd.uci.edu/~gohlke/code/tifffile.py.html
>>
>> Then to read/write PNG or JPEG, I use PIL / Pillows. I rarely use any
>> other image formats.
>>
>> Cheers,
>> Egor
>>
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