Git Product home page Git Product logo

hopenvgraw's Introduction

HOpenVGRaw

The aim of this project is to provide relatively low level bindings to OpenVG, specifically the ShivaVG implementation. (For the most part, the official OpenVG 1.0.1 headers are used, so adapting the library for other OpenVG implementation should be straightforward.)

These bindings are intended to be simpler, safer, use Haskell datatypes where possible and be easier to compile than the existing bindings.

How to use

  1. Install ShivaVG to where it can be found (e.g /usr/local).
    If you are on a Unix-like system, chances are that your package manager supplies it, e.g on OS X with Homebrew, simply do brew install shivavg.

  2. Install this package like you would any other Cabal package

Examples

The test directory contains a simple test program in both Haskell, using these bindings and C.

License

Like many Haskell packages, this code is licensed under the BSD3 license.

ShivaVG itself, written by Ivan Leben, is licensed under the LGPL

hopenvgraw's People

Stargazers

 avatar

Watchers

 avatar  avatar  avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.