[PD] Binaural w32?
danomatika at gmail.com
Sun Jun 6 11:33:08 CEST 2021
Ok, earplug~ 0.3.0 is ready:
Lucas (or any Windows dev), if you have time, could you make Windows builds for deken? Then Joao can give it a try...
> On Jun 2, 2021, at 5:04 PM, Dan Wilcox <danomatika at gmail.com> wrote:
> Nothing too major.
> We haven't made a changelog yet but the changes in the current main branch form the last 0.2.1 tag (2013) are:
> * update to build via pd-lib-builder
> * loading the dataset txt file is now optional (needs double-checking)
> * fixed hang when dataset file is not loadable
> * post header only once on load and include version
> * avoid crashes by making sure that the "dsp" method cannot be called from the patch
> Some future optimizations in the pipeline are: https://github.com/pd-externals/earplug/pulls <https://github.com/pd-externals/earplug/pulls>
> I will try to add a changelog and new stable 0.2.2 tag tonight. You could then bug a Windows dev to make a build for deken...
> When we review the other optimizations, they would go into a 0.3.0 version.
>> On Jun 2, 2021, at 3:56 PM, pd-list-request at lists.iem.at <mailto:pd-list-request at lists.iem.at> wrote:
>> Message: 3
>> Date: Wed, 2 Jun 2021 13:33:11 +0100
>> From: Jo?o Pais <jmmmpais at gmail.com <mailto:jmmmpais at gmail.com>>
>> Cc: Pd-List <pd-list at lists.iem.at <mailto:pd-list at lists.iem.at>>
>> Subject: Re: [PD] Binaural w32?
>> Message-ID: <3ffaeb84-291c-7e2e-981e-a1ca531f6dfe at gmail.com <mailto:3ffaeb84-291c-7e2e-981e-a1ca531f6dfe at gmail.com>>
>> Content-Type: text/plain; charset=windows-1252; format=flowed
>> that is nice - although I can't really build anything in windows on my
>> own. what are the improvements compared to the 2009 version?
>>> I updated the earplug~ external to build using pd-lin-builder, so it
>>> should be easy to build on Windows:
>>> https://github.com/pd-externals/earplug/tree/main <https://github.com/pd-externals/earplug/tree/main>
>>> <https://github.com/pd-externals/earplug/tree/main <https://github.com/pd-externals/earplug/tree/main>>
>>> It's not the best but we use it for a project at work. It can use some
>>> additional optimizations and the dataset is for 44.1k so you are in
>>> luck. For our project, we are likely to introduce resampling for other
>>> sample rates so it's more accurate beyond 44.1k...
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