Code Monkey home page Code Monkey logo

Comments (3)

fester avatar fester commented on May 28, 2024

You are correct, it's a memory issue. If you need a ballpark estimate of memory requirements then just assume that your raster must fit in memory. If you need to process rasters larger than memory, I can suggest splitting it into smaller tiles before meshing (i.e. with https://www.gdal.org/gdal2tiles.html). But of course it's not a convenient solution.

from tin-terrain.

wthorp avatar wthorp commented on May 28, 2024

I'm curious how others use this tool in the real world. If I cut my image into smaller parts, won't there be "seam lines" - areas where the terrain has odd lines due to it being the edge of the source DEMs? This 500gb run was going to be my "small" test, as I has hoped to do the same thing at ~1m instead of ~30m.

from tin-terrain.

fester avatar fester commented on May 28, 2024

And you are correct, splitting raster into chunks will produce artifacts at tile borders. However, visibility of these artifacts also depend on a lighting model you use to render the landscape. One more option is to rent one of these instances and do the work there.

Anyways, at this point processing larger-than-memory datasets is not supported. Unfortunately I can't even tell for sure that it is in a part of a development backlog (although it might be included there suddenly). I will close this issue for now.

from tin-terrain.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.