Replies: 6 comments 32 replies
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You could try @brummer10's IR loader: https://github.com/brummer10/ImpulseLoader.lv2 |
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@mikeoliphant do you use some special cxx flags? |
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So that worked out perfectly! No need to muck around with rtprio tweaks and irqs, which was the path I was about to head down.. Compiling like this did the trick I documented the steps I took to get this running. Its still a bit rough, I might improve that some day https://gist.github.com/torgeir/e1fc51da45d3491dd4b08ebf35710ebc Thanks both of you for the work on your plugins! This is going to be a lot of fun. @mikeoliphant @brummer10 |
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@torgeir You may want to grab the latest version of this repo. I've got a new WaveNet implementation and I'm seeing ~30% better performance for standard NAM models on Pi4. |
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👍 Btw, by default it is optimized for 64-sample buffers, but you can change it on the cmake commandline. For example, adding:
will optimize for 128 samples instead. You get slightly better performance if it is optimized for the exact buffer size you are using. |
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I'll try mod docker builder tomorrow.
вс, 9 февр. 2025 г., 21:33 Torgeir Thoresen ***@***.***>:
… Mine is an 8GB one.
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Just getting my hands dirty with this project 🥳
I was trying to get a barebones version of jalv and neural-amp-modeler-lv2 up and running on the Raspberry PI 4 and was wondering if you had suggestions for some good IR-loaders also lv2 that would go with it. I was planning to use jalv for that too, and connect it up with jack_connect on the command line.
Had a go with convoLV2 but I cant seem to get any sound out of it. Ran it with
jalv.gtk3 http://gareus.org/oss/lv2/convoLV2#Monoon my linux system as well (used jalv, the plain version, on the pi), but I could not get any sound through it from there, nor on the raspberry pi 4. Tried a few ML sound lab IRs I had lying around.Suggestions or ideas welcome!
Also saw your stompbox repo, great stuff! Might give that a go some day as well.
Best regards,
Torgeir
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