[pdal] PDAL Python3 issues

Jennifer Simeon j.simeon at geo-sat.fr
Tue Jan 24 00:46:24 PST 2017


Hi Jean-Francois,

Don't know if it is still relevant for you after the expert replies, but
there exists a laspy version I've been using with Python 3.4.  You can
clone it from GitHub.

https://github.com/sethrh/laspy

Best, J.

On 23 January 2017 at 20:46, Jean-Francois Prieur <jfprieur at gmail.com>
wrote:

> Thank you for the insights on how the sausage is made ;), I am not tied to
> Windows and am actively trying to get away from it!
>
> Will try the docker tools if we must follow the windows route, thanks
> again. Will keep you posted on our progress. Keep focused on linux ;) as I
> stated I am removing windows from my workflow as much as possible. You did
> not break anything rest assured!
>
> JF
>
> On Mon, Jan 23, 2017 at 2:18 PM Howard Butler <howard at hobu.co> wrote:
>
>>
>> > On Jan 23, 2017, at 11:31 AM, Jean-Francois Prieur <jfprieur at gmail.com>
>> wrote:
>> >
>> > When the student started (almost 2 years ago), we used OSGeo4W open
>> source tools for development. The initial workflow was awesome. Read each
>> file with PDAL, use pgwriter to send it to postgres, calculate all the
>> metrics in the database. Worked like a charm until pgwriter dissapeared
>> from the osgeo4w version of PDAL (we completely understand how this can
>> happen, this is not a complaint!) so this production chain was broken. We
>> both did not have the time (at the time) to figure out how to install
>> everything in linux so she decided to press forward using Python. The end
>> product is still in Postgres, it is the initial 'reading the LAS file' part
>> that pgwriter performed flawlessly that is causing issues now.
>>
>> Well that's a bummer. Your use case is actually a good one for
>> pgpointcloud, and you had a good workflow going. Sorry to break things for
>> you :(
>>
>> I was recently contacted by NRCan about them paying to get a 1.8.1
>> OSGeo4W64 libLAS build together, but I have not heard back anything after I
>> gave a quote.  I think 1.8.0 definitely had a memory management issue where
>> it leaked file handles. IIRC, it was cleaned up in 1.8.1, but IMO
>> pgointcloud, which you already had working is the better solution here.
>>
>> An alternative that might give you traction is to use Docker
>> http://www.pdal.io/quickstart.html The PDAL docker build is
>> feature-complete with pgpointcloud support (and most other filters), and
>> you could use it to get data in/out of your database by calling docker
>> commands on windows. See the Quickstart http://www.pdal.io/quickstart.
>> html for a teaser and the Workshop materials http://www.pdal.io/workshop/
>> exercises/index.html for in-depth docker-on-windows examples. Docker
>> might require Windows 10 for smooth usage, however.
>>
>> A better solution of course is pgpointcloud support and current OSGeo4W64
>> binaries for windows. If you are willing to live dangerously, PDAL's
>> continuous integration build, based off of OSGeo464, builds
>> pgpointcloud-enabled binaries. It's just that you can only get a .zip file
>> of the binaries, and you will need to do some %PATH% plumbing and other
>> junk to get them to work with a current OSGeo4W64 environment. After every
>> successful AppVeyor build, the zip file is placed at
>> https://s3.amazonaws.com/pdal/osgeo4w/pdal.zip This means a
>> constantly-changing but constantly up-to-date build is available. No
>> promises.
>>
>> A note for others watching PDAL's Windows situation: the problem is not
>> getting builds done -- they're available via AppVeyor. The problem is
>> smooth integration with OSGeo4W64, and a convenient packaging script to
>> push releases at OSGeo4W64. I used to manually maintain this for libLAS,
>> and it was awful. The first few OSGeo4W64 builds were the same. The task is
>> an integration one, not so much a development one.
>>
>> > A python 3 script using libLAS opens the LAS tile, runs through each
>> crown to find the points associated to it and stores the result as a LAS
>> file. The issue is that an individual LAS file is created for each tree
>> crown, when we have more than 40,000 crowns per tile the system starts
>> swapping (windows and linux) and the process just gets very slow. Then
>> another script reads the las points, calculates metrics which are then
>> stored in the database. This 'clipping' operation for the tree crowns only
>> happens once at the beginning, it is not a problem. But it would take a
>> month right now using libLAS which is not acceptable.
>> >
>> > So all I am looking for ;) is a linux python library that can write up
>> tp 100,000 'mini-LAS' tree crowns from a las tile without running out of
>> memory like libLAS does. Believe PDAL could do that quite simply via Python
>> hence my attempts. I know that laspy exists but it is only for Python 2.
>>
>> So you do indeed want to "touch the points"... but I think it would be
>> best and cleanest to get back to pgpointcloud. You can get back there with
>> Docker for i/o or try to bleed on the bleeding edge with the AppVeyor build
>> and feather it into your OSGeo4W64 build.
>>
>> > Thanks for any insights the list may have, keeping in mind we are
>> relative programming noob scientists that don`t mind to work and read!
>>
>> > Sorry for the book!
>>
>> On the contrary, this kind of feedback lets us know how well or not well
>> PDAL is doing the job for people. As I've said before, we have a particular
>> set of use cases we use PDAL for, and it is encouraging that people are
>> finding other ways to make it useful. We want to remove obvious blockers
>> that prevent it from being so. Windows builds and integration are a tough
>> one due to the fact that none of the PDAL developers work natively on that
>> platform.
>>
>> Thanks for the feedback!
>>
>> Howard
>>
>>
>>
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-- 
*Jennifer SIMEON*
*Data Scientist*
*Responsable Développement Big Data 3D*
*-----------------------------------------------------*
*Geosat - Société de Géomètres-Experts*

17 rue Thomas Edison
33600 Pessac, France
Tél: +33 5 56 78 14 33 ext 5011
@: j.simeon at geo-sat.fr <p.jacq at geo-sat.fr>

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