Showing 3 open source projects for "linux-image"

View related business solutions
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • 1
    rayshade-mathematica

    rayshade-mathematica

    rayshade and POV for Mathematica Export + view

    Beautifully Render* your Graphic3D and Shown or Manipulate right in the Front End (without Export to, ie 3DStudio Art Renderer, et al). For use with Mathematica 4.0 - 13.1. Makes file.ray or .pov that will look much like image in notebook except rendered. Works easily/automatically with many Graphics3D (and some Graphic) as well. However graphics in 13.1 is too big to comment on: many will work many not. Has many options to fix renders that aren't so auto. Now very portable (Apple, Microsoft, Linux) supported (given rayshade or povray binary download or compiled). ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    ImagingAnalysis

    ImagingAnalysis

    Direct tissue-level image quantification package for Mathematica

    ImagingAnalysis is a Mathematica package that performs grid-based analysis of time-lapse imaging data saved in a sequence of TIFF files. This package requires Mathematica 7.0. Revised on 14 May 2017: Bugs are fixed and incompatibility issues are resolved. The current version runs on Mathematica 11.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    The h5mma package provides improved support for reading HDF5 files in Mathematica. It is significantly faster, more memory efficient and crash resilient than the built-in HDF5 reading support. h5mma has moved to BitBucket: https://bitbucket.org/simulationtools/h5mma
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB