[OpenDroneMap-dev] refactor 'run.pl' to a python class definition ahead of Open MPI integration

Stephen Mather stephen at smathermather.com
Sat May 9 05:48:48 PDT 2015


Hi Daryl,

Wiki's and pull requests always welcome.  Jump right in.
This would address issue 20, which I consider to be top priority to ensure
that the widest number of people can participate:

https://github.com/OpenDroneMap/OpenDroneMap/issues/20

Cheers,
Best,
Steve




On Fri, May 8, 2015 at 10:04 PM, Daryl Van Dyke <
vandyke.geospatial at gmail.com> wrote:

> Hi -
>
> Long time listener, first time caller...
>
> I have been thinking about a python class that leverage OpenDroneMap since
> the first time I looked at the perl driver.  I don't know perl, but could
> discern the general pattern.
>
> I'd like to start a pseudocode class definition diagram  for what it might
> look like.  I see it as an object of -model- which would be initialized
> from an initial set of images.  The sequential steps of the perl script
> would become methods, with the ability to keep track of which results are
> associated with (result from) which parameter configs.
>
> If I wanted to take a stab at this - could I open a wiki page on GitHub?
> I don't want to appear dis-respectful as a newcomer, but perl is a barrier
> for me and I see many benefits to transitioning the driver to python 2.7.
>
> Daryl
> On May 8, 2015 8:34 PM, "Stephen Mather" <stephen at smathermather.com>
> wrote:
>
>> Shared, or the messy part of passing data around...
>>
>> Looking at the portions of the toolchain:
>>
>> resize -- easily can be massively parallelized (also not a bottleneck)
>> keypoints -- same, but is a slow process now
>> match -- harder to parallelize without *a priori* knowledge of likely
>> matches
>> bundler -- currently not fully parallelized and a major bottleneck
>> cmvs/pmvs -- CMVS chops the scene into bite-sized chunks, making PMVS
>> work within smaller, reassembleable scene chunks. Ideal for distribution
>> meshing -- not sure, but fast to run relative to rest of toolchain
>> texturing -- not sure, but fast to run relative to rest of toolchain
>> georeferencing -- not sure, but fast to run relative to rest of toolchain
>> orthophoto -- not sure, but fast to run relative to rest of toolchain
>>
>> match is probably the hardest part to efficiently parallize without
>> shared storage, but with some a priori knowledge of likely matching images
>> (e.g. exif geolocation), something clever might be done to overcome this
>> limitation.
>>
>> Cheers,
>> Best,
>> Steve
>>
>>
>>
>>
>> On Mon, Apr 27, 2015 at 6:38 PM, Alex Mandel <tech_dev at wildintellect.com>
>> wrote:
>>
>>> On 04/27/2015 09:18 AM, Bales, Donald J. wrote:
>>> > All,
>>> >
>>> > Forgive me if you feel this inquiry is misplaced, but I was wondering
>>> if OpenDroneMap has an OpenMPI implementation, or if you know of any
>>> OpenMPI implementation for image processing?  If not, is there any interest
>>> in the OpenDroneMap community to create an OpenMPI implementation so one
>>> can leverage high performance computing platforms?
>>> > Sincerely,
>>> >
>>> > Donald J. Bales
>>> > (630) 776-0071
>>> >
>>>
>>> We have been talking about converting the current Perl master script to
>>> something in Python (possibly flask based). At that point there would be
>>> good places to hook in an MPI library for python.
>>>
>>> The tricky part is going to be an efficient means of distributing the
>>> data. If you have a compute cluster this shouldn't be an issue (assuming
>>> you have some sort of shared storage). If you use Amazon it might mean
>>> you have all your nodes reads from the same S3, etc.
>>>
>>> Thanks,
>>> Alex
>>>
>>> _______________________________________________
>>> OpenDroneMap-dev mailing list
>>> OpenDroneMap-dev at lists.osgeo.org
>>> http://lists.osgeo.org/cgi-bin/mailman/listinfo/opendronemap-dev
>>>
>>
>>
>> _______________________________________________
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>>
>>
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