Best way to use OpenCV and Nu together for iOS vs OSX?

[Tom Warfel]

I'm in the early stages of writing several image processing applications, some of which will run on an iPhone, and some of which will run on a Mac.

I've experimented with SBCL(Steel Bank Common Lisp) and OpenCV (using either the cl-opencv or common-cv cffi wrappers for OpenCV) on a Mac, but am looking at having to re-implement the algorithms in Objective-C for the iOS devices.

Given that there is an OpenCV framework for iOS, is there a general process for creating some kind of binding between Nu and OpenCV that could work similarly both in an iOS app as well as a Mac OSX app?  (Something like common-cv / cl-opencv do for SBCL?) 

It would be nice have to the power of a lisp-ish scripting language for the  image processing backed by the compelled OpenCV libraries that would run more-or-less the same on both iOS and OSX devices.  Being new to Nu, I'm not sure how reasonable this proposition would be.

Suggestions welcome, thanks in advance.

 -Tom

[Tim Burks]

Hi Tom,

I think you'll find Nu is much easier to integrate on iOS and lighter weight than any other Lisp, but without any lisp-level code optimization, it's basically a scripting layer on Objective-C. 

I think the best way to integrate OpenCV with Nu is to wrap the functions that you want to call with Objective-C class or instance methods. There's also been libffi support in Nu since the beginning, but recently I've been experimenting with a version that removes the libffi dependency by compromising some runtime flexibility. The result is a two-file Lisp that can be dropped into any Objective-C program. It's running inside an app that we wrote for a conference coming later this month: https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewSoftware?id=588226808&mt=8

I haven't looked at the OpenCV APIs but generally have found it easier to wrap C functions with Objective-C code than to use any other kind of glue-code-generating mechanism.

Tim

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