mirror of
https://github.com/mikeoliphant/neural-amp-modeler-lv2.git
synced 2026-05-07 12:00:16 +02:00
Compare commits
27 Commits
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|---|---|---|---|
| 0649b4a822 | |||
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| 34be69df6d |
@@ -24,6 +24,18 @@ jobs:
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cmake --build . --config $BUILD_TYPE -j4
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cpack
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- name: Upload binary
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uses: actions/upload-artifact@v1
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with:
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name: neural_amp_modeler.lv2-linux-amd64
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path: ${{github.workspace}}/build/neural_amp_modeler.lv2
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# - name: Upload deb
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# uses: actions/upload-artifact@v1
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# with:
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# name: neural_amp_modeler.lv2-linux-deb-amd64
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# path: ${{github.workspace}}/build/*.deb
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build-windows:
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name: Build Windows
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runs-on: windows-latest
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@@ -35,5 +47,11 @@ jobs:
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- name: Build Plugin
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working-directory: ${{github.workspace}}/build
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run: |
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cmake.exe -G "Visual Studio 17 2022" -A x64 ..
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cmake.exe -G "Visual Studio 17 2022" -A x64 -T ClangCL ..
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cmake --build . --config=release -j4
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- name: Upload artifact
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uses: actions/upload-artifact@v1
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with:
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name: neural_amp_modeler.lv2-win
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path: ${{github.workspace}}/build/neural_amp_modeler.lv2
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+2
-3
@@ -1,10 +1,10 @@
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cmake_minimum_required(VERSION 3.10)
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project(NeuralAmpModelerLv2 VERSION 0.1.3)
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project(NeuralAmpModelerLv2 VERSION 0.1.4)
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set(CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake")
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set(CMAKE_CXX_STANDARD 20)
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set(CMAKE_CXX_STANDARD 17)
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set(CMAKE_CXX_STANDARD_REQUIRED OFF)
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set(CMAKE_CXX_EXTENSIONS OFF)
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@@ -23,7 +23,6 @@ set(NAM_LV2_ID http://github.com/mikeoliphant/neural-amp-modeler-lv2)
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include_directories(SYSTEM deps/eigen)
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include_directories(SYSTEM deps/lv2/include)
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include_directories(SYSTEM deps/NeuralAmpModelerCore)
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include_directories(SYSTEM deps/AudioDSPTools)
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include_directories(SYSTEM deps/json)
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include_directories(SYSTEM deps/denormal)
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@@ -3,6 +3,7 @@
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Bare-bones implementation of [Neural Amp Modeler](https://github.com/sdatkinson/neural-amp-modeler) (NAM) models in an LV2 plugin.
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**There is no user interface**. Setting the model to use requires that your LV2 host supports atom:Path parameters. Reaper does as of v6.82. Carla and Ardour do. If your favorite LV2 host does not support atom:Path, let them know you want it.
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If you are looking for a GUI version, @brummer10 [has one here](https://github.com/brummer10/neural-amp-modeler-ui) that works for Linux and Windows. You may also be interested in the the version shipped with the [MOD Desktop App](https://github.com/moddevices/mod-desktop-app), or my digital pedalboard app [Stompbox](https://github.com/mikeoliphant/StompboxUI).
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To get the intended behavior, **you must run your audio host at the same sample rate the model was trained at** (usually 48kHz) - no resampling is done by the plugin.
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@@ -44,3 +45,6 @@ Note - you'll have to change the Visual Studio version if you are using a differ
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After building, the plugin will be in **build/neural_amp_modeler.lv2**.
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### Optimization
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If you have a relatively modern x64 processor, you can pass "**‑DUSE_NATIVE_ARCH=ON**" on your cmake command line to enable certain processor-specific optimizations.
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Vendored
-1
Submodule deps/AudioDSPTools deleted from 37f73d9ea6
Vendored
+1
-1
Submodule deps/NeuralAmpModelerCore updated: 9a46cb60c6...529a1c8342
Vendored
+1
-1
Submodule deps/eigen updated: 7bf2968fed...f78c37f0af
Vendored
+1
-1
Submodule deps/lv2 updated: dbdbe3e518...e9d9432874
@@ -39,11 +39,11 @@
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opts:supportedOption <http://lv2plug.in/ns/ext/buf-size#maxBlockLength>;
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rdfs:comment """
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An LV2 implementation of Neural Amp Modeler.
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LV2 plugin for Neural Amp Modeler machine learning guitar amplifier simulation models
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NAM accepts Neural Amp Modeler .nam files.
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Based on the Neural Amp Modeler Core codebase: https://github.com/sdatkinson/NeuralAmpModelerCore
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A large collection of .nam files is available at https://tonehunt.org/
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A large collection of .nam models is available at https://tonehunt.org
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""";
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patch:writable <@NAM_LV2_ID@#model>;
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+11
-10
@@ -17,24 +17,25 @@ set(NAM_SOURCES ../deps/NeuralAmpModelerCore/NAM/activations.h
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../deps/NeuralAmpModelerCore/NAM/convnet.cpp
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../deps/NeuralAmpModelerCore/NAM/convnet.h)
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set(DSP_SOURCES ../deps/AudioDSPTools/dsp/dsp.h
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../deps/AudioDSPTools/dsp/dsp.cpp
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../deps/AudioDSPTools/dsp/RecursiveLinearFilter.h
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../deps/AudioDSPTools/dsp/RecursiveLinearFilter.cpp)
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add_library(neural_amp_modeler MODULE ${SOURCES} ${NAM_SOURCES} ${DSP_SOURCES})
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add_library(neural_amp_modeler MODULE ${SOURCES} ${NAM_SOURCES})
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source_group(TREE ${CMAKE_CURRENT_SOURCE_DIR} FILES ${SOURCES})
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source_group(NAM ${CMAKE_CURRENT_SOURCE_DIR} FILES ${NAM_SOURCES})
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source_group(dsp ${CMAKE_CURRENT_SOURCE_DIR} FILES ${DSP_SOURCES})
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option(DISABLE_DENORMALS "Disable floating point denormals" ON)
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if(DISABLE_DENORMALS)
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if (DISABLE_DENORMALS)
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add_definitions(-DDISABLE_DENORMALS)
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endif(DISABLE_DENORMALS)
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endif (DISABLE_DENORMALS)
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target_compile_features(neural_amp_modeler PUBLIC cxx_std_17)
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if (CMAKE_SYSTEM_PROCESSOR MATCHES "(amd64)|(AMD64)|(x86_64)")
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option(USE_NATIVE_ARCH "Enable architecture-specific optimizations" OFF)
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if (USE_NATIVE_ARCH)
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -march=x86-64-v3")
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message("Enabling -march=x86-64-v3")
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endif (USE_NATIVE_ARCH)
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endif ()
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set_target_properties(neural_amp_modeler
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PROPERTIES
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+1
-1
@@ -96,7 +96,7 @@ LV2_SYMBOL_EXPORT const LV2_Descriptor* lv2_descriptor(uint32_t index)
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{
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if (index == 0) {
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// Turn on fast tanh approximation
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activations::Activation::enable_fast_tanh();
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nam::activations::Activation::enable_fast_tanh();
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return &descriptor;
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}
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+17
-13
@@ -24,10 +24,6 @@ namespace NAM {
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{
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this->sampleRate = sampleRate;
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const double highPassCutoffFreq = 5.0;
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const recursive_linear_filter::HighPassParams highPassParams(sampleRate, highPassCutoffFreq);
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mHighPass.SetParams(highPassParams);
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// for fetching initial options, can be null
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LV2_Options_Option* options = nullptr;
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@@ -92,7 +88,7 @@ namespace NAM {
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auto msg = static_cast<const LV2LoadModelMsg*>(data);
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auto nam = static_cast<NAM::Plugin*>(instance);
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::DSP* model = nullptr;
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nam::DSP* model = nullptr;
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LV2SwitchModelMsg response = { kWorkTypeSwitch, {}, {} };
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LV2_Worker_Status result = LV2_WORKER_SUCCESS;
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@@ -111,7 +107,7 @@ namespace NAM {
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{
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lv2_log_trace(&nam->logger, "Staging model change: `%s`\n", msg->path);
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model = get_dsp(msg->path).release();
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model = nam::get_dsp(msg->path).release();
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// Pre-run model to ensure all needed buffers are allocated in advance
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if (const int32_t numSamples = nam->maxBufferSize)
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@@ -251,8 +247,6 @@ namespace NAM {
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}
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}
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float** outputPtrs = &ports.audio_out;
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float modelLoudnessAdjustmentDB = 0;
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if (currentModel != nullptr)
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@@ -260,9 +254,6 @@ namespace NAM {
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currentModel->process(ports.audio_out, ports.audio_out, n_samples);
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currentModel->finalize_(n_samples);
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// Apply a high pass filter at 5Hz to eliminate any DC offset
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outputPtrs = mHighPass.Process(outputPtrs, 1, n_samples);
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if (currentModel->HasLoudness())
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{
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// Normalize model to -18dB
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@@ -282,7 +273,7 @@ namespace NAM {
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// do very basic smoothing
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level = (.99f * level) + (.01f * desiredOutputLevel);
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ports.audio_out[i] = outputPtrs[0][i] * outputLevel;
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ports.audio_out[i] = ports.audio_out[i] * outputLevel;
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}
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outputLevel = level;
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@@ -293,9 +284,22 @@ namespace NAM {
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for (unsigned int i = 0; i < n_samples; i++)
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{
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ports.audio_out[i] = outputPtrs[0][i] * level;
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ports.audio_out[i] = ports.audio_out[i] * level;
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}
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}
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float dcBlockCoefficient = 1 - (220.0 / sampleRate);
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for (unsigned int i = 0; i < n_samples; i++)
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{
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float dcInput = ports.audio_out[i];
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// dc blocker
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ports.audio_out[i] = ports.audio_out[i] - prevDCInput + dcBlockCoefficient * prevDCOutput;
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prevDCInput = dcInput;
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prevDCOutput = ports.audio_out[i];
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}
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}
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uint32_t Plugin::options_get(LV2_Handle, LV2_Options_Option*)
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+5
-5
@@ -22,7 +22,6 @@
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#include <lv2/units/units.h>
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#include <NAM/dsp.h>
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#include <dsp/RecursiveLinearFilter.h>
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#define PlUGIN_URI "http://github.com/mikeoliphant/neural-amp-modeler-lv2"
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#define MODEL_URI PlUGIN_URI "#model"
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@@ -44,12 +43,12 @@ namespace NAM {
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struct LV2SwitchModelMsg {
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LV2WorkType type;
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char path[MAX_FILE_NAME];
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::DSP* model;
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nam::DSP* model;
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};
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struct LV2FreeModelMsg {
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LV2WorkType type;
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::DSP* model;
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nam::DSP* model;
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};
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class Plugin {
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@@ -71,9 +70,10 @@ namespace NAM {
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LV2_Log_Logger logger = {};
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LV2_Worker_Schedule* schedule = nullptr;
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::DSP* currentModel = nullptr;
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nam::DSP* currentModel = nullptr;
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std::string currentModelPath;
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recursive_linear_filter::HighPass mHighPass;
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float prevDCInput = 0;
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float prevDCOutput = 0;
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Plugin();
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~Plugin();
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Reference in New Issue
Block a user