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INSTALL.md

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Genearl requirements

Python 3.6 Note: old versión is Python 2.7 but is deprecated

Operating System

Tested under Linux, Mac OS (>10.11) and Windows 10.

Debian, Ubuntu 15.04 and 16.04 (and .10). And Docker images. Raspian @ Raspberry Pi.

Install

Optionally, create a virtualenv with python3 as binary

$ virtualenv -p python3 [SOME_PATH]/ApiCultor_dev
$ source [SOME_PATH]/ApiCultor_dev/bin/activate

Install the apicultor module:

$ python setup.py install

Dependencies requeriments

Linux

$ sudo apt-get install python3-pip python-pip

Mock RedPanal WebService

$ sudo pip2 install flask

Doc

$ sudo pip2 install flask-autodoc

(optional) Pyo

If you want to run Pyo examples

$ sudo apt-get install python-dev libjack-jackd2-dev libportmidi-dev portaudio19-dev liblo-dev libsndfile-dev python-dev python-tk python-imaging-tk python-wxgtk2.8

$ wget http://ajaxsoundstudio.com/downloads/pyo_0.8.5-src.tar.bz2

$ tar -xvf pyo_0.8.5-src.tar.bz2 && cd pyo_0.8.5-src

#enable-jack compilation

$ sudo python setup.py --use-jack install

MIR

$ pip install essentia

MAC

brew tap MTG/essentia
brew install essentia

Reference: https://github.com/MTG/homebrew-essentia

Linux build

$ git clone https://github.com/MTG/essentia.git

You can install those dependencies on a Debian/Ubuntu system from official repositories using the commands provided below:

$ sudo apt-get install build-essential libyaml-dev libfftw3-dev libavcodec-dev libavformat-dev libavutil-dev libavresample-dev python-dev libsamplerate0-dev libtag1-dev

In order to use python bindings for the library, you might also need to install python-numpy-dev (or python-numpy on Ubuntu) and python-yaml for YAML support in python:

$ sudo apt-get install python-numpy-dev python-numpy python-yaml

$ ./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp 

To compile everything you’ve configured:

$ ./waf

To install the C++ library and the python bindings (if configured successfully; you might need to run this command with sudo):

$ sudo ./waf install

Database

$ sudo apt-get install python-mysqldb

Crear una base de datos:

Si es tu primera vez utilizando bases de datos de MySQL, tenés que instalar MySQL en tu sistema y luego crear un usuario con una password para acceder y después crear la base de datos a la que accederás utilizando el usuario y la password.

Luego de correr sudo apt-get install mysql-server:

$ mysql // a veces el comando puede ser mysqld de acuerdo al paquete instalado
mysql> CREATE USER 'usuario'@'localhost' IDENTIFIED BY 'password';
mysql> CREATE DATABASE nombredelabasededatos;
mysql> GRANT ALL PRIVILEGES ON nombredelabasededatos.* TO 'usuario'@'localhost';
mysql> quit;

Luego se puede usar Fill_DB.py para crear la base de datos del MIR

(old-deprectaed) Without installing the module

Dependencias viaa pip

$ pip install -i requirements.txt

Analysis

  • pip install bs4

  • pip install regex

  • pip install wget

  • pip install matplotlib

  • pip install numpy scipy scikit-learn

  • pip install smst

  • pip install colorama

    $ sudo pip install bs4 regex wget numpy scipy scikit-learn $ sudo pip install matplotlib smst $ sudo apt-get install python-tk

  • pip install librosa

  • pip install transitions

  • Essentia (ver instrucciones para compilar aquí: http://essentia.upf.edu/documentation/installing.html)

MIR State Machine example

pykov (markov processes)

Note that Pykov depends on numpy and scipy.

Both for Python2 and Python3:

$ sudo pip install git+git://github.com/riccardoscalco/Pykov@master 

Note: In Raspberry Pi run first $ sudo apt-get install python-numpy python-scipy #pip install scipy no works

liblo: Lightweight OSC implementation

$ apt-get install -y liblo-dev

$ pip2 install cython 
$ pip2 install pyliblo 

Freesound API module

$ git clone https://github.com/MTG/freesound-python
$ cd freesound-python
$ sudo python setup.py install

OSC (different libraries)

OSC Service Example

$ sudo pip3 install python-osc

OSC Client

$ git clone https://github.com/ptone/pyosc.git
$ cd pyosc && sudo ./setup.py install

Supercollider

$ sudo apt-get install supercollider supercollider-ide
$ sudo apt-get install scide 

Pre-processing scripts (saves realtime processing)

$ sudo apt-get install ffmpeg
$ pip2 install ffmpeg-normalize

In Raspberry Pi, Bela and other debian based systems replace by: $ sudo apt-get install libav-tools

Add in ~/.bashrc:

alias ffmpeg=avconv