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https://github.com/imgflo/imgflo

Node-based image processing with GEGL and Flowhub
https://github.com/imgflo/imgflo

c fbp-runtime flowhub gegl graph-processing image-processing

Last synced: 7 days ago
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Node-based image processing with GEGL and Flowhub

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imgflo

==========

imgflo is an image-processing runtime built on top of [GEGL](http://gegl.org)

which can be visually programmed using [Flowhub.io](http://flowhub.io).



It is used by [imgflo-server](https://github.com/imgflo/imgflo-server), which

adds a HTTP API for image processing.



imgflo is pronounced "Imageflo(w)".



[![Deploy](https://www.herokucdn.com/deploy/button.png)](https://heroku.com/deploy)



Changelog

----------

See [./CHANGES.md](./CHANGES.md)



License

--------

MIT



Note: GEGL itself is under LGPLv3.



About

--------

The imgflo runtime implements the [FBP runtime protocol]

(http://noflojs.org/documentation/protocol) over WebSockets.

It also provides an executable that can load and run a FBP graph defined as

[JSON](http://noflojs.org/documentation/json).



The runtime uses GEGLs native graph structure, wrapped to be compatible with

FBP conventions and protocols:



* All *GEGL operations* are automatically made available as *imgflo components*

* Each *imgflo process* is a *GeglNode*

* *imgflo edges* can pass data flowing between *GeglPad*



The edge limitation means that only ports with type *GeglBuffer* (image data) can be connected together.

Other data-types are in GEGL exposed as a *GProperty*, and can currently only be set it to a *FBP IIP* literal.

In the future, support for streaming property changes from outside is planned.



One exception is for the special *Processor* component, which is specific to imgflo.

This component is attached to outputs which are to be computed interactively.

Because GEGL does processing fully *on-demand*, something needs to *pull* at the edges

where image data should be realized.



Deploying to Heroku

==========================



Configure. Flowhub user id is found in the Flowhub user interface (Settings or Register runtime)



    heroku config:set HOSTNAME=YOURAPP.herokuapp.com

    heroku config:set FLOWHUB_USER_ID=MYUSERID



Check the log that the initial registration was successful, and then save the runtime ID permanently



    heroku logs

    heroku config:set IMGFLO_RUNTIME_ID=MYRUNTIMEID



See "Run the runtime" for more detail



Developing and running locally

==========================

Note: imgflo has only been tested on GNU/Linux and Mac OSX systems.

_Root is not needed_ for any of the build.



Download it via git



    git clone https://github.com/imgflo/imgflo.git

    cd imgflo



Pre-requisites

---------------

imgflo requires git master of GEGL and BABL, as well as a custom version of libsoup.

It is recommended to let make setup this for you, but you can use existing checkouts

by customizing PREFIX.



Install [node.js](https://nodejs.org/) dependencies. Only needed for tests



    npm install



For Mac OSX, you must [install Homebrew](http://brew.sh/)



### Building dependencies from source (recommended on Linux)



You only need to build the dependencies once, or when they have changed. See 'git log -- thirdparty'



    git submodule update --init

    make dependencies



_If_ you are on an older distribution, you may also need a newer glib version



    # make glib # only for older distros, where GEGL fails to build due to too old glib



### Installing pre-built dependencies (recommended on OSX)



If you use this option, you must specify `RELOCATE_DEPS=true` in the commands below.



    make travis-deps



Build

-------

Now you can build & install imgflo itself



    make install



To verify that things are working, run the test suite



    make check



Run

----

To start the runtime



    make run GRAPH=graphs/checker.json



This should open Flowhub automatically in your browser and connect to the runtime.



If the browser does not open, and you get "Operation not supported", add `NOAUTOLAUNCH=1`.

Then you need to copy/paste the "Live URL:" into your browser manually to connect.



## Registering runtime



imgflo can automatically ping Flowhub when it is available.



* Open [Flowhub](http://app.flowhub.io)

* Login with your Github account

* Click "Register" under "runtimes" to find your user ID. Copy it and paste in command below



Set up registration



    export FLOWHUB_USER_ID=MYUSERID



Finally, to run the Flowhub.io runtime use.

You can customize the port used by setting PORT=3322



    make run



If successful, you should see a message 'Registered runtime' with the new id.

You should save this, and on subsequent runs on same machine use this id.



    export IMGFLO_RUNTIME_ID=MYID



In Flowhub, refresh the runtimes and you should see your new "imgflo" instance. 

Note: sometimes a page refresh is needed.



You should now be able to create a new project in Flowhub of the "imgflo" type,

select your local runtime and create image processing graphs!