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NeuralPlayer

Alpha Build Notes

Installing Back Ends

Intel MKL

  1. Download Intel OneAPI's Online Installer:

https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html

  1. Run it, and select Custom Installation. De-select all components except Intel OneAPI Math Kernel Library.
  2. Allow for the installation to complete.

OpenBLAS

  1. Build OpenBLAS and move all output libraries and symlinks to ~/OpenBLAS/lib": https://github.com/xianyi/OpenBLAS. This should result in there being valid libopenblas.a and libopenblas.so symlinks available at that location for SpleeterRT to link to.
git clone https://github.com/xianyi/OpenBLAS.git
cd OpenBLAS
make
mkdir -p ~/OpenBLAS/lib
cp *.a *.so *.so.0 ~/OpenBLAS/lib

Linux JUCE Prerequisites

  1. Install dependencies listed here: https://github.com/kcoul/JUCE4Pi

Visualizer Prerequisites

ProjectM-SDL2

Required (Windows), Recommended (All Platforms)

  1. Install GLEW, SDL2, Poco, and Boost using vcpkg in CLion

macOS System-Wide Alternative (homebrew)

brew install sdl2
brew install poco
brew install boost

Linux System-Wide Alternative

sudo apt install libsdl2-dev
sudo apt install libpoco-dev
sudo apt install libboost-all-dev

Alpha Dev Notes

Using SpleeterRT

  1. Anytime new CMake build config is set up, SpleeterRTBin should be compiled for that build type (i.e. Debug, Release, RelWithDebInfo) before NeuralPlayer is run with that config
  2. You should set a "HOME" user environment variable on Windows for SpleeterRT resource management
  3. To get separated audio by Spleeter, run SpleeterRTBin build configuration with program arguments spawnNthreads timeStep analyseBinLimit stems audioFile, e.g. by clicking Run -> Edit Configuration -> choosing SpleeterRTBin and under Program arguments inserting 3 512 1024 3 ../../../Player/Resources/TrueSurvivor.wav. After running it, you get separated audio channels in cmake-build-debug/SpleeterRT/Executable/ folder.

Run-time Limitations

  1. Currently only supports 44.1kHz .wav format input, more formats and sample rates will be added over time

Additional Prerequisites for workbenching

  1. Stock spleeter and basic-pitch, which combined require [email protected] and [email protected]
  2. You may need to uninstall [email protected] and/or downgrade tensorflow.
pip install basic-pitch
pip install spleeter==2.3

Using Visualizer

How To Pass Arguments to ProjectM / MSDL2 via NeuralPlayer

  1. Determine which arguments are applicable to your usage (see below)
  2. Extend the arguments StringArray at L.22 of VisualizerThread.h accordingly
    "help", "h", "Display this help text and exit."

    "listAudioDevices", "l", "Output a list of available audio recording devices on startup."

    "audioDevice", "d", "Select an audio device to record from initially. Can be the numerical ID or the full device name. If the device is not found, the default device will be used instead."

    "presetPath", "p", "Base directory to search for presets."

    "texturePath", "", "Additional path with textures/images."

    "enableSplash", "s", "If true, initially displays the built-in projectM logo preset."

    "fullscreen", "f", "Start in fullscreen mode."

    "exclusive", "e", "Use exclusive fullscreen mode. If true, this will change display resolution on most platforms to best match the window resolution."

    "monitor", "", "Displays the window on the given monitor. 0 uses OS default window position, 1 is the primary display and so on."

    "vsync", "", "If true, waits for vertical sync to avoid tearing, but limits max FPS to the vsync interval."

    "width", "", "Initial window width."

    "height", "", "Initial window height."

    "fullscreenWidth", "", "Fullscreen horizontal resolution."

    "fullscreenHeight", "", "Fullscreen vertical resolution."

    "left", "", "Initial window X position."

    "top", "", "Initial window Y position."

    "fps", "", "Target frames per second rate."

    "shuffleEnabled", "", "Shuffle enabled."

    "presetDuration", "", "Preset duration. Any number > 1, default 30."

    "transitionDuration", "", "Transition duration. Any number >= 0, default 3."

    "hardCutsEnabled", "", "Hard cuts enabled."

    "hardCutDuration", "", "Hard cut duration. Any number > 1, default 20."

    "hardCutSensitivity", "", "Hard cut sensitivity. Between 0.0 and 5.0. Default 1.0."

    "beatSensitivity", "", "Beat sensitivity. Between 0.0 and 5.0. Default 1.0."

Building OnnxRuntime from Source

Prebuilt binaries of OnnxRuntime (v1.14.1) are provided for all platforms. You should only build OnnxRuntime from source if necessary.

Prerequisites

macOS (homebrew)

brew install [email protected]
brew install cmake

Linux

apt install [email protected]
apt install cmake

Windows

https://www.python.org/downloads/windows/

https://cmake.org/download/

Instructions

  1. Clone NeuralPlayer and configure CMake in Debug mode once using cmake-build-debug as build directory (CLion does this automatically)
  2. Add -DBUILD_ONNXRUNTIME_FROM_SOURCE=1 to your CMake build flags
  3. Build onnxruntime manually once (CMake 3.24 or higher is required, use snap on Linux) to generate sub-build CMake Cache (see https://onnxruntime.ai/docs/build/inferencing.html):

cd ~/repos/NeuralPlayer/cmake-build-debug/_deps/onnxruntime-src

Example: macOS (Intel):

./build.sh --config RelWithDebInfo --build_shared_lib --parallel --cmake_extra_defines CMAKE_OSX_ARCHITECTURES=x86_64

Example: macOS (M1+):

./build.sh --config RelWithDebInfo --build_shared_lib --parallel --cmake_extra_defines CMAKE_OSX_ARCHITECTURES=arm64

Example: Linux:

./build.sh --config RelWithDebInfo --build_shared_lib --parallel

Example: Windows 10/11:

.\build.bat --config RelWithDebInfo --build_shared_lib --parallel

Thereafter CMake should be able to rebuild onnxruntime anytime it changes, unless the Debug build directory is wiped