Thanks for the help....I really appreciate it. I knew my code was a bit slapped together and this is a great improvement.

I finally heard back from the developer that created the IRs to begin with and it appears that their IRs are XOR obfuscated. That would have been good info to know ahead of time. Very frustrating.

I hope this makes sense...lol...

The snippet does 3 things:

[1] Dynamically builds a 3 tiered combobox menu by scanning a shared IR folder

[2] Load 2 default IRs when launched - NOTE - This is where the code that loads the suspect IRs is

[3] Allows the user to load their own IRs

HiseSnippet 5083.3oc6cs0aiijclxtoaa0SOWxN6lj2HTR.r231iHssrrGjc78dbFq1FRd3r.wKZPQUxhaSQpPRYasaZr8i4w8k.jGyKA4uQdJOm+AY+IL+.Bvrmp3spHqhVRc6dbOPZvzvrN04RcpyWwCqhUwy8bMQ99tdRkJewnAHoRejbqQNA8NnmgkizIGJU5SjewdMTt.4GnTccsZR6OZfguOpiToRy+bbkJszijH+99uZeCaCGSTZQRR5tVlnSs5aEjV5469MV11GazAcgUepZuwtmX55bfqs6PvflWtpz.CyWYbE5EF3pMmrzWa32SpzuT1ryFlaXVq8FpFFc2RscMT65paohpatYmsMMML2rso55qaHUZgi5XE350JvH.4KU5Q661YTqdt23Dp.cKeq11H7EpRs.MGV7wt1cvMQboRGzyxty4wdJeIoRxmm52lOzu84xMr5XkTdp+6SIDTR4f1AVZNVyadFySk17pRYdbLoRTljbnI8YxsL8rFDjRAaOOQ9Dm.jWWCneh1Tdwv96Mrik6wV1XKQtz7PORn.jlq8mIefKvlSvZ8MdE5XO3hDwrbspUWUA9mU9xxk+hu34n.ECrjT5BhRYfqqcYna0OpTh7U9GTNx4JKGzZ1tFcR0KHS2yAFVFKJPVmaDzSIvUYf8Pn1J98L7PcT7P9PDhIRoKtaxKR5Vd3Z+7CAYW4fct7RnYekmQ+CMBLt7xm2yEpxgVWCNTWmJeIkriD5IMiDmeF4c7Pa6wPlWdooa+9tNuzxyuBwQzZ.xzpqkIVzC.QEI2fdnSZRT9jIzKu76Z8bE8KVu5kWtQ8zqTdlx2VeK3egdHzKOpyUn0tBKjJDO38zuDIevd6yq3245Cj7oPnB16ozA00XncfhoQ6x33mCLZqFGwP+iv.IL0wvlzASh8rffLk9tcFBWvpDKGaHlTo6PGy.v6qjJ7ee4kJuzW7EldH.np3192BAgcQdHXzNbLDXIJpJP+60t1CIrFI+xKY6ZBJG3.KHnKmL75ZWgBHQ8sL5OvFkfPWtBTqJPSgnMLRB2d0TP2F0Hn.V91tAIxuKDfD.ROROIxGipVFCLipmOBLxNhpnJ1IRTc6gv.LDkG41TbfwfSTGv5IMUe4MFWiChwQhMCiD2jDHhv970.pUhZI1wccbZHQcHDmWpaizfHiNPrrJ+9yad1+3QGbwKO9rSO7nluthxeOkUfafgMsTVv+SqQ9An9q00ys+ds8w8MHLxa4DL3JqE31Jvyx4JvKga8ulNH5naSicvxE4IHzjsppgkGB2u1vSocfyIMOkH.bHP7Pofu+.29C.XqSvxUnqTERzb1vQWG55fkhGLToYrHVEzk8PzJkiBV+tdHGVmNXasGFD.hxxWY.LLJL1+pJ1FfB5oXD1O21y8FejGzMFAy.eCNDGKHeh6ToxgtlC6CZzuR7PvzpaHlcejMxLvWwvAz5pDumhU.UWcDNwwsCRQs7RT8VgV.c+Wh9VUoqgsOZUkJ+xnA4VMw8rLzd.yckxKAs+oCqtzR3dqIFqtDlS7+m.YEgWiUAI5F5MJBvlQjP6z1N9VIJ3HZRogM5X4lDWis9PRzA3eYnDgHG.KfVa.TbPJVPkVqSNhcokhZUoPPVQ+Z3edMDWONg+q4iIRBvOvv1tMjG3xbC+SG1mFApEiM4hA0FGLn1XfA0JDC99FB91gA0.AL4fP7X7OHffSF9qE4dEhAfpu0.PMw.voGfEa1bPXZSDBSaLPXZ4PXSVlgvu8+1SN8PrK6fyZr+Y6e1uNWUObDjWgEjRg8HElbN.DUaWk1t2pz1.fHJtc6B+eDUr+IDMjj6dGKOHV20aTnsx6tvGfE49t2J9VvI0PD1OoBEA7KuD6.rILg01I.T5BnKe4UJruhxR32Qk0Rh5kNvFEFER4.IFle4Ty.D3xUr.CwuxpUpD9TaMQP3HH9vHcRLXRHN3LMhxdh9AYr7HOyF4ItnS1xxgDa5WXFXzOc0JL2OOvCbiDa5b2ACswCfPGSfaQ2XgezsdQIkFGWPiedlhOf4FnXbiwnvlDYPRpggLb5jzVIXPGber+Rk655or7s3HrjFHY3bv4FNbVznZINYrE4OrsIT3UtdVf1iBYcxm.sxyfevCFBODs2upgkI9+O202BqarJ7PCrMLCEdEnUTAFDefgmADYmDzmHsP+Pkc1oBNjKt20nSGbP1xKea5HOpqrxZQhdYhXWkvFDCpDlqH4gbw8HYCduMSBx35lneWG.1triK1+sRAbpliSnev0quQP.3mvN7DGIbGlgYkz30RvirhATjeJT+JS+iBL+B2.zYNKGlu7qKqjkT2tboEA3rQdbIimRKuhXbYmg8ai7XxVGpnTIY14BRV7bAQOUUlgiePUQWmSbrBNa.xQzDXIEMnijToEirJnpAjYM5iil0nV1V.fQxpiToGK+MNtsUkHFb7z0sxk+eekjHl2mjhCg4mHC2S47d.hPiU.jeig.9Dr.faQGNYUpYEx2+UStPzlNg7wQBgzZTmtVCQFIIw9NPFiiW8SijQ7fDQcLIiYvwc7BTvMtduBO0hyE82PvBdBDWTFFDZu9CjzQd34nBGeTcM3+j1y118F7MwrfQsITJMOorycsGMnmqikItnvZfNnmgiCxdu9tCgHwRxklCzbCbxNDl22107Usr9cHLIrQ80F9WXXAMpRy0ZnODc24LmVfbHS3LdpTeAjFqToEN1fjG.dvL7bfhwGFvsw8VyLYNYSZBoS.JFJENMyIDwxKdxnCMAvxwY.SlJ5RyioiASmCiO2GAIwQtvyc.xKvBEOor3qFAbf06GIehuNlJjvijdnOGZ16659p9FDmsDquVVFB2dn4nKE5ne7X3nCsedd4mJCOD.T6.hvvidQ4FICaMlt+XyYAr9drbntuCSimAEy53p14nT6hx21EiEY06mRzKfCWKhJ+nsHh2kdYBrlKSf0mH+hg8obfQwVyKqkDQFW0EjafM7nZHK2rQKIoVPlDl8tvvCxBkHe5Bv9XXDEGD4FY9rWF4HNoCVxWgcfIlQXYj0HRZZj2iIxSku.oAc.NK9JnE0vxIowgAKMLtM4ZU35v3jvhNL74qop+lR6MLvExLIY4eXBu7GXaEHN7JjL+vqPZSS30Sk8c6F7x1Dwxp7+RZkSUI9PN5Z7VFu0puqaPOHiLxR3E4.ejrV0bAbBFzKC78wg3HBFTcZvuI7lerjpisWedJudT3Lio7DvT7PqckHiHhm6PcywD7NOUv6iSCdWT9YpUyF+hutU.ZP3v0eNbMTGxO0M1tppZMn4+JzMg1rToel7lqsgll1VU2ZqMpug55U2VJroQ.Q3mC8BWhvA.30PeD1FVR9PjoUajMMR.5v3alYwXKJisnIyLwUX8ppUWGpv1aWeis2ppZzZUlDlIvXWPlN9aAH9aspRRu+8nejbSD7X0gh8t7qLJmIiAIFTO0DjwFF9ykgmADG9rFcU3EPJKeRy69Vo3DErQ2hWARLhjZcfouBp3INcP2FJ+T+J4pDWJY8oYBvkmjQmS6KRGsFGtFPcKK0L8wKLQgioxsr74dnNHaiQiUzUb+068fKHxw.xjSHHPXjEWKMBjjZmKAEv2IkEjpos81U2XyZZZquQ8spuYz8R+ZqCFFHv1dh7wdn+4gPxiijxoOo21HimJ2.O83A87PFcFSb0GSeaPso+1oYjyCr6mFcKLKmqyzDKKCCo2aMfff6fQXYhtCVowCKlsaDqT5jwXXqP.IaeK6ye819vXLBPTXi56nvF0GjgMQoRo8VjFl1TkxUbF+STNWwLMKoqYIc8Vmz0GSmzk1zl00BPVWuT6dHsK0YocMKsqeBj105uit+45OHu+oLNGpIJqqPNl5jtdzjLmWEzccOlIkPo8tUOLi5EOmRFsaXcqzc4iZ31g9UOO90IJchxw8hGZ4az1FkDzigmvXJjeau4501Zi003Nqhi2TdlLavLy4YbOGMtcwvaUCsMUxxQIMI4cqNgMV1FDDKxnowqok4wkXZfkkS.E7aiZe.1FWerZiONLvF2OFR+dsQxHnwqMwNqwSVSR6gYSJyifItMMECF8smDmNWzZrSIjRkNDcskIJb6YfSev+UAtCfX7j27GHn+NWF9aSVn1cc2cTxE+w2ra.jK.1UfGtaP758iaUgqC2.5FZx3hcXB7iWB3+DdEwEYTBVd+TC6+XDkg8m9CQF1SwVghlRHXlud+9u5tLb5ADFOaL6aPPpcJcAsc9FF6TU4b2a.W+cYOLfWQMpowPE6PeSVG53anZSfg93w8MgPjC8Oj0gR5zFqNX07cvKLtuTEBLm+6+kHy4Ixg6LjlJpRV9MbwoXY3MJ9skYh0HcG0ebTwZTqXM9jw7E1HUguoKkBey06NzGcvP+.2932dtAgZH1HNHbI2gl8.Lw8rstxIL+RYY7.Q2X0AmrZ7nKC1sGx5pdT6bue0tjWaPo4929qkKeTeKGkCz2Zyc1Yys1Ymvc8A+RIaKobjf1LuxxU4C1PcCdxmtbQLkQGokRX3kpEQTil3Q0ptMOift7bFQDwLFQZo4XnwganoxSMLDDxVFE0TkuvnKOmrhHxWT7r4VM1ZedZgtbQLkQKokligucCtwXTEKfkLpHov7UuFeMTimTpITJ04Kk5r1IajWNpZ4ol0Bpm2BNTeqsxCFyVJeFRDOaY4pbdvX9xEwTFcjAuQSJOZKe4hXJiV3h1BIwAswgfP1xnHphywRdjX9xEwTF0vEIFRJORLe4hXJiV3hDCIkCIlqXArjQE7PhQTpwWC0JPC0DJr57EV8BDVB1RkewZ7KNTNMT9FCOGqqc8PrfQADDxFwewsXdrvBLERp.VyqubHTFprfTgjJf07ZLGZkgZF.qXZEwbdklG4xPlE7JjTArlWk4PwLTYAxBIU.q40XNDMCUFPsHJhYLu5xhtYIVSn1pUr1pIPa0JRa0Eps5Eqs5BzFKh+qOpkxgn9tNLvctkxmArF3TVtJy.wETtHlxnirHaJRLvZAkKhIPd6rCdG+vmVN1XAzhHHjsLMpb3XJZLfXAkKhoLpIK1khDCvUP4hXJiVxhWoHQCV4Wr.VxnhLXTZJ03qgZEngZ7zPMgZnNeMTu.MTmmFXwhmZY1KP4zCNFd39Mqx.HESp.VwZSDA9rw.RKhXgrySuYwrYoy.bKhXgrySyYQvYoyBiKjZwBfmxygpyVAFncQDKjcdpNKROKcF3dQDKjcdZNK5OKc5g.JfVQLySsYFQHG4ZEn0Z2kVqITq0JVq0KPq0uKsVWnVYG4H9TLgYLCdExs5XEjunrUkYrA9EKfEV4mcjfTJLiAvuXArvpgrH9TJrXcAkKhIVkjCYmRhASyuXArvphrH3TJLXW9EKfEVMjEolRgFixsT9LvJ9LHRJB03J8ZhkdMNRulHoWmqzqKV504H87HLcdHLcgHL87HLcAHLc9HL8BPX57PX5BQX57QX5Efvz4gvzEhvzEfvzKBgoyEgoKFgoyGgoW.BSmGBSWHBSmOBSu.DlNODltPDlNWDltXDlNGDltHDlNWDltXDlNGDltHDlNWDltXDlNGDlNGDlTeiawu5P++Qu6PYVGqmFspRmZfeo0rHKBL4uEtjY696hV.qedxBXoaYnre3ATCYckhWp9kVPR5G9AoITyjkNStz+dIIoQ3+3+B9i6WMtNca0gpsJED0VqH2.4LTYexwQxw3CAiVIGyHjCFRglA0Yv3itHZg7hdsEXORHwuIvTuOCzmCi3yqNGeqfQzqJ66ryIxw0D+L4ywaXS913bbrQ7aW28fMFc5Z9T4i51EYFjZfOR93e86uiRyxQQSfN4ssl4b5Y9nzSOyR+qxoGCDC7vmmGnKbO21Xzx9jyynlfEupR638gc9yNhnULmrSsW1Lb6b6OMGwDKL19H0h6hZ5NDepT0vHvyBifg1eKxYxYzlM2OdelGcc032nwVHmNjK9A3WDQU70khHpFSL8Ppf9vHnzG.aP94lsA4msA4msA4msA4msA4eWuA4W7g6d0hApv9dL+vdmawhw4rctV7g914J+nT+zae0KWZ4+FoB1hWK7tZKdk0YpJdOMc+usu32y9dOzbJ2JXSf0+.Z6gwZ0721XK7NdaiMQH3Y6f+6ycv+ieerC9u696Y6p+Y6p+2lc0+rLEmko3aYlhevdX.DJ+Y4JNKWwY4JN6XG3d6XGPdpO1A9QM8uYGEAyNJBlcTDHnM9iyQQ.u7HtuNdBV7GuimfouYdedjEPe7iOMGeAzqW+OKd85IYrdpKlYxsA97vRTvEofW6a7F0V72Rz+2w8aI5fw9aIZqQNljU1i58pf7RNbgmg4qv4qQoJrYdjSXWHU8aB21F+sgf9aYZ32jnVAFdAf3oERSDjCkOhoLbR7g27su7y24xFiTNzy5ZD9i.4uE+wZ5xlH3Ai6.lykPZjVHGEspZZJOS4ep4Q6c9QM+MWdH9K0xYcU9NK7KIzksvaH6KacwQMZob7YMUZr2EW97KZBbb3Ij+PE+QZRpO16JW5+r7bwujP+O+h+NIanYRr7XZ1j1cmX5klunOeppS4mO0G8f6ym5G.u4NLuVJKEaisrvAeGAIqaCPMhM9WHGMLSbor3rFtNtwuADzgpAdVWcE44SRrctMn8BB.3RZIe9tMQ1H7sDSJ5uc2SgbpM7xh1l.eg536KJp+5uRNzbUvCNn7g6ab07+j9Mt58xaSz6Ccz2vzy8kQuTK33zEIk.saGxP9KI2.esBmu6K8gQ4dooIqnxwn1zx35SKiaLsLt4zxXsokwslVFqe2LhuITzb3hglRRMN+HRlRkJkjlPo4k9y+o55AC

Hmmm....that is not what I'm seeing.

The IR on the left is loaded from a custom location and has a custom ext and the IR on the right is from the HISE AudioFiles location.

I am working on a plugin that must share IR resources with a bunch of other plugins that were not built by me. My plugin must use these resources. The problem is that the company have given their IRs custom file extensions:

theirIRs.customExt

I'm guessing that I would need to modify the HISE source to allow this extension to load into the convolution node? If so, I honestly don't know where to start and any guidance would be appreciated.

On a side note, I imported the IRs into a DAW and they loaded right in as audio files. So, I'd assume it's just the extension that is the issue.

Are there any plans to add the ability to compile to LV2, and if so, would there possibly be support for headless builds?

@Oli-Ullmann
My understanding is that Claude (https://claude.ai/) is supposed to be much better than ChatGPT at writing usable code.

@Oli-Ullmann
That is amazing! If you don't mind me asking....could you share the prompt you used in ChatGPT?

Strange....
I'm getting a "function not found" error when calling loadNAMModel

@Dan-Korneff - If memory serves me, I tried this and it didn't work for me. I think it's not fully cooked. I have only been able to get the Tensorflow/AIDA-X stuff to work.

@HISEnberg Yes, that would be awesome.
BTW....thank you so much for the help. It's much appreciated.

@HISEnberg OHHHHH.....that might work! It ain't pretty.....but it might work...

@HISEnberg
So, I originally did that....each NN node had a different "model" loaded. But every time I switched between the nodes, there was an audible loud "click". You can also see from the first screenshot, I also used a Branch node....same problem. On the other hand, if I use just one NN node and switch the "model" in the dropdown parameter....no click. I just need to be able to control the value of the dropdown via script. The problem I'm having is that I can't figure out how to get a reference to the dropdown in the script.

I cleaned up the network a bit. If I can get script access to the MODEL dropdown, I wouldn't need 5 neural nodes anyway.

So, hopefully this makes it easier to see what I'm trying to do...

Again, any help would be greatly appreciated.

I am trying to change the "MODEL" dropdown value of a Neural node via script and I just can't seem to figure it out.

I had read that you reference the nodes by ID, but I don't see the IDs in the node properties.

If anyone could point me in the right direction, I would really appreciate it...

@Christoph-Hart
If I might throw my humble 2 cents in....and my 2 cents are change left over from a whole career of working in guitar amp modeling software, having spent almost 20 years with the ReValver amp modeling software and another 4 years with the HeadRush pedals and software. The software market segment of simulating hardware has completely turned from component level modeling to leveraging NN modeling. Neural Network modeling allows us to do in a matter off days what took months or years to accomplish, with better results (most of the time). Beyond guitar products, NN modeling lends itself to preamp, channel strip, etc modeling, which is why it's such an opportunity for @orange. This has really nothing to do with simply downloading models from tonehunt.org, this is about implementing something that will be "how it's done" from this moment on. Here's a real-world scenario: I am currently working for a guitar amplifier manufacturer that has a 60+ year history in guitar amps. They would like to release plugin versions of every flagship amp they have ever made AND ship a plugin version with every new amp that they design and release. This is my project, NN modeling is how to do it, and I have to find the solution that lets me get it done.
Having said that, I have really fallen in love with HISE in a short time, but it might not be a realistic solution (at this point) for my project. I would hate to see all this not properly implemented in HISE. It would be such a missed opportunity.

Having said all that.....we are about to enter the 2nd wave of NN modeling market disruption, which will truly change everything...again:

https://www.neuralampmodeler.com/post/the-first-publicly-available-parametric-neural-amp-model

Thanks for letting me get that out....

@aaronventure
I placed the neural network node in a soft_bypass node and for the life of me, I can't seem to get a reference to the soft_bypass node. I am really struggling here....

My network is called "theAmp" and the ID of soft_bypass node is "wrapneural1"......could you please show me how you would code the references?

@aaronventure
Thank you so much for the response!
The problem is that I'm simulating the "GAIN" (or distortion) knob of a guitar amp by "mapping" multiple neural network amp models (each with increasing gain) to the different levels of a "GAIN" slider. As you turn the knob, NN models are being swapped out. It needs to be seamless. Whether it's a "pop" or a brief moment of silence, it's the same problem.
Again, it only does this once when you cycle through all of the NN models, after that, they are loaded and the "pop" goes away.

My thinking is that, using the Branch node, only the first NN model is loaded and the rest are loaded as they are selected with the Branch node. If all of the NN nodes were outside of the Branch, they would all load at once. Is it possible to control the on/off of a node directly through script, without using a soft_bypass node?

No thoughts here? I could really use some advise.
I hate to be a pest, but this might be a dealbreaker for this project.

I have multiple Neural Network nodes that are wrapped in a Branch node. I am using a slider to control the branch to switch from one NN node to the next. Each NN is loaded with a model of the same guitar amp, but each model is of increasing distortion (Gain). This is all working fine, except that the first time you switch to any of the NN nodes, there is an audible audio spike (a pop, if you will). This only happens the first time. Once you have cycled through all of the NN nodes, it no longer "pops".

I have tried using soft_bypass instead on the branch node, but I have the same problem there.

The NN models are ADIA-X Json files and I am loading them into each NN node using the following method.

const var tf = Engine.createNeuralNetwork("TensorFlowNetwork");
//Loads ADIA-X JSON inot NNs
tf.loadTensorFlowModel(MLmodel_1);

Does anyone has any insight into how I can stop or minimize this "pop?

@d-healey
Reading.....apparently so hard for me....
Per advice of the legal dept....when advertising/marketing and mentioning the "source" product we always have to say "based on" the source product AND have the disclaimer concerning ownership. We would make bold, general statements about how our product replicates famous hardware with "uncanny" accuracy, but we never would say that we were the best Marshall JCM800 emulation.
If that all makes sense?