Guitar Effect Pedal for Raspberry Pi, with a web interface designed specifically for phones.
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PiPedal constrains configuration of audio buffers based on the minimum buffer size reported by audio devices. This code is currently incorrect. This release temporarily allows unconstrained selection of buffer sizes, in order to explore what kinds of buffer configurations should be offered to users in a subsequent release version. Please be aware that audio buffer configurations permitted in this release may not be permitted in subsequent versions of PiPedal.
Published by rerdavies about 2 months ago
This version fixes a significant and dangerous defect that may cause loss of presets, banks or configuration data if you remove power from your Raspberry Pi within up to five minutes of last saving data instead of performing an orderly shutdown or reboot. PiPedal users should upgrade immediately.
This release also fixes a significant performance issue with TooB Neural Amp Modeler.
Bug fixes:
The .asc file is a gpg digital signature for the .deb file. You can verify the signature using the following command:
gpg --verify pipedal_1.2.47_arm64.deb.asc pipedal_1.2.47_arm64.deb
Files are signed with the following key:
381124E2BB4478D225D2313B2AEF3F7BD53EAA59 Robin Davies <rerdaviesa@gmail.com>
Published by rerdavies about 2 months ago
Potentially fixes the following bug:
The .asc file is a gpg digital signature for the .deb file. You can verify the signature using the following command:
gpg --verify pipedal_1.2.45_arm64.deb.asc pipedal_1.2.45_arm64.deb
Files are signed with the following public key:
381124E2BB4478D225D2313B2AEF3F7BD53EAA59 Robin Davies <rerdaviesa@gmail.com>
Published by rerdavies about 2 months ago
This version focuses on fixes and improvements to TooB Neural Amp Modeler.
TooB NAM now uses about 20% less CPU, which can help enormously on Raspberry Pi 4.
You may need to change your audio buffers to prevent dropouts when using TooB Neural Amp Modeler. Setting your audio buffers to 32x4 seems to produce good results. You may also want experiment with 16x4 audio buffers. This seems to work, but it has had limited testing so far, so I can't say with any certainty whether it is stable for long-term use. 2-buffer audio settings should be avoided. As always, using your Pi for anything else at the same time you are using PiPedal will cause XRuns.
I would once again like to extend special thanks and acknowledgements to Steven Atkins for his outstanding work on the NeuralAmpModelerCore project on which TooB Neural Amp Modeler depends (as do almost all other Neural Amp Modeler plugins).
Bug fixes:
The .asc file is a gpg digital signature for the .deb file. You can verify the signature using the following command:
gpg --verify pipedal_1.2.45_arm64.deb.asc pipedal_1.2.45_arm64.deb
Files are signed with the following public key:
381124E2BB4478D225D2313B2AEF3F7BD53EAA59 Robin Davies <rerdaviesa@gmail.com>
Published by rerdavies about 2 months ago
This version includes the following new features:
Bug fixes:
The .asc file is a gpg digital signature for the .deb file. You can verify the signature using the following command:
gpg --verify pipedal_1.2.44_arm64.deb.asc pipedal_1.2.44_arm64.deb
Published by rerdavies about 2 months ago
DO NOT USE
This is a test release used by the developer to test digital signing of update packages.
Published by rerdavies about 2 months ago
PiPedal v1.2.41 includes the following new features:
You can now upload new models into TooB ML. TooB ML models are compatible with models for the GuitarML Proteus plugin. Currently, the GuitarML Proteus model download pages are the best source for new models to use with TooB ML. To install
new models in TooB ML, follow these instructions:
Big fixes:
pipedalconfig1 has a new
--fix-permissions` option, which corrects permissions on files in /var/pipedal.Published by rerdavies 2 months ago
Features:
Published by rerdavies 2 months ago
Bug fixes:
Published by rerdavies 2 months ago
You can now upload GuitarML Proteus models from the GuitarML project into TooB ML.
Features:
Fixes for the following issues:
Published by rerdavies 2 months ago
Fixes for the following issues:
Published by rerdavies 2 months ago
Fixes the following issues:
Published by rerdavies 2 months ago
This release provides compatibility with Raspberry Pi OS bookworm. If you are using Raspberry Pi OS buster, or Ubuntu 21.04, please use PiPedal v1.1.31 instead.
If you are using the Android client, you should make sure you are using the most recent version, which includes significant improvements to Wi-Fi Direct pairing.
Bug Fixes:
pidedald
service shuts down cleanly. With help from @FoolHen.uninstall.sh
now removes all files installed by ./install.sh (used only during development).Published by rerdavies about 1 year ago
Very minor fix.
Published by rerdavies over 1 year ago
Bug fixes:
Published by rerdavies over 1 year ago
New in this release.
TooB Neural Amp Modeler. A port of Steven Atkinson's astonishing Neural Amp Modeler to LV2/aarch64. Download models from tonehunt.org. Re-amp your own favorite amps by training your own models. The NAM plugin is available under an MIT license (not GPL!) as part of the TooB Amp Project.
Dark Mode. Go to the settings menu to select the new Dark Mode theme.
Bug fixes:
Published by rerdavies over 1 year ago
Published by rerdavies over 1 year ago
Published by rerdavies over 1 year ago
Major features:
Bug fixes:
Published by rerdavies over 1 year ago
Pre-built GxPlugins package for Raspberry Pi OS.
gxplugins_1.0_arm64.deb is provided under the terms of the GNU General Public License v3.0.
© 2017-2023 Hermann Meyer [email protected]
© 2019 Olivier Humbert [email protected]
© GxPlugins contributors.
Compiled from source at https://github.com/brummer10/GxPlugins.lv2