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README.md
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README.md
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[![Build Status](https://drone.ascee.nl/api/badges/ASCEE/lasp/status.svg)](https://drone.ascee.nl/ASCEE/lasp)
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Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library
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with a Python interface which is supposed to process (multi-) microphone
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acoustic data in real time on a PC and output results.
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At the point in time of this writing, we are yet unsure whether the Raspberry
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PI will have enough computational power to this end, but may be by the time it
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is finished, we have a new faster generation :).
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with a Python interface which is supposed to acquire and process (multi) sensor data in real time on a PC and output results.
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Current features that are implemented:
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- Compile-time determination of the floating-point accuracy (32/64 bit)
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@ -35,76 +30,61 @@ in a sister repository (https://code.ascee.nl/ascee/lasp-doc).
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If you have any question(s), please feel free to contact us: info@ascee.nl.
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# Installation
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# Building from source
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## Dependencies
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Two commands that install all requirements (for Ubuntu / Linux Mint)
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- `pip install scipy numpy build scikit-build appdirs`
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- `sudo apt install libusb-dev libpulse-dev libboost-dev`
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## Runtime dependencies (Linux)
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- FFTW (For really fast FFT's). If compiled with Ffftpack, this library is not
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required.
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- libUlDAQ, for the Measurement Computing DT9837A USB DAQ box
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- GNU Autotools, for compiling libUlDAQ
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- RtAudio, for Audio DAQ backends
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- libusb
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- BLAS (OpenBLAS, other).
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## Editable install
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In the root directory of the repository, run:
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- `pip3 isntall --user -e .`
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- `cmake .`
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- `make -j`
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- `$ sudo apt install libopenblas-dev python3-pip python3-scipy libusb-dev libpulse-dev cmake-curses-gui python3-h5py`
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- `$ pip3 install --user -r requirements.txt`
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## Build dependencies
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Optional dependencies, which can be turned ON/OFF using CMake:
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- Build tools: compiler [http://cmake.org](CMake), the Python packages:
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- Scipy
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- Numpy
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- appdirs
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These can all be installed using:
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- The following Python packages need also be available:
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- `Scipy` (which includes Numpy). Install with `sudo apt install
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python3-scipy`, or `pacman -S scipy`.
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- `appdirs`, which can be grabbed from [https://pypi.org](Pypi)
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## Compilation of LASP
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### Archlinux
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Compiling the code on Archlinux requires the following packages to be available:
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- openblas-lapack (AUR)
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- Python>=3.7
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- Numpy (Python-numpy)
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- Cython
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### Ubuntu / Linux Mint
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*Only tested with Linux Mint 18.04*, we require the following packages for
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compilation:
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- build-essential
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- cython
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- python3-numpy
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- libopenblas
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If building RtAudio with the ALSA backend:
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If building RtAudio with the ALSA backend, you will also require the following packages:
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- libclalsadrv-dev
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- libopenblas-base
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- libopenblas-dev
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- libusb-1.0-dev
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If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
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- libjack-jackd2-dev
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## Download & build
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- `$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git`
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- `$ cd lasp`
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For a release build:
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- `$ cmake .`
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or optionally for a custom build:
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- `$ ccmake .`
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Configure and run:
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- `$ make -j`
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### Build documentation
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`$ sudo apt install doxygen`
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While still in lasp dir:
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`$ doxygen`
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This will build the documentation. It can be read by:
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`$ <YOUR-BROWSER> doc/html/index.html`
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## Install
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For an editable install (while developing):
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- `$ pip3 install --prefix=$HOME/.local -e .`
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To install locally, for a fixed version:
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- `$ pip3 install --prefix=$HOME/.local`
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## Usage
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See examples directories for IPython notebooks.
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appdirs
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dataclasses_json
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h5py
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