cpmpercussion

#include <MicroView.h>

const int PLOT_PIN = 0;
int readingHistory[64];
int currentIndex = 0;


void setup() {
  // put your setup code here, to run once:
  uView.begin();

cpmpercussion

Setting up SD card

download galileo-1.2.img from <galileodebian.sourceforge.net>

used rpi-sd-card-builder to dd the image to the card.

Connect serial in terminal

something like:

screen /dev/tty.PL2303-0000103D 115200

cpmpercussion

TAGUE:
Trust too trouble it: I will have your honour
And threst words, will not still bear the gods and cannot speak,
And now and take the which thy means to have him.

POMPEY:
If this be?
Here comes your tongue, sir, a strange o' the stand?

TRANIO:

cpmpercussion

\documentclass[12pt]{article}
\usepackage{geometry}
\geometry{a4paper}
\usepackage[usenames,dvipsnames]{color}

\usepackage{hyperref}
\hypersetup{
  colorlinks,
  citecolor=Violet,
  linkcolor=Red,

cpmpercussion

%% Pandoc template for creating NIME papers
%% Adapted from NIME paper template and Pandoc latex template.

\documentclass[$if(fontsize)$$fontsize$,$endif$$if(lang)$$lang$,$endif$$if(papersize)$$papersize$,$endif$$for(classoption)$$classoption$$sep$,$endfor$]{$documentclass$}
\usepackage{hyperref}

\makeatletter
\def\maxwidth{\ifdim\Gin@nat@width>\linewidth\linewidth\else\Gin@nat@width\fi}
\def\maxheight{\ifdim\Gin@nat@height>\textheight\textheight\else\Gin@nat@height\fi}
\makeatother

cpmpercussion

---

title: 'A Very Well-Written NIME Paper' author:

• name: Author one affiliation: University address: University email: email1@domain.edu
• name: Author two affiliation: University address: University

cpmpercussion

DOCNAME=nime-paper-input.md
OUTNAME=rendered-output
REFSFILE=references.bib
ARGS=--bibliography $(REFSFILE)

nime:
	pandoc --template=nime.latex --self-contained --natbib --filter pandoc-fignos $(DOCNAME) -o $(OUTNAME).tex
	sed -i '.bak' 's/\citep{/\cite{/g' $(OUTNAME).tex
	pdflatex $(OUTNAME)
	bibtex $(OUTNAME)

cpmpercussion

from tensorflow.python.client import device_lib

def get_available_gpus():
    local_device_protos = device_lib.list_local_devices()
    return [x.name for x in local_device_protos if x.device_type == 'GPU']

get_available_gpus()

cpmpercussion

Datasets

• Harmonix Set - Beats, downbeats, and functional structural annotations for 912 Pop tracks.
• da-tacos - a dataset for cover song identification and understanding

Tools

• deezer/spleeter - Spleeter is the Deezer source separation library with pretrained models written in Python and uses Tensorflow

cpmpercussion

#!/bin/bash
echo "$1"
videoname=${1%%.*}
#echo "$videoname"
ffmpeg -i $1 -c:v libx264 -b:v 2M -minrate 0.5M -preset fast -vf scale=1920:1080 -c:a aac -b:a 128K ${videoname}_1080.mp4
ffmpeg -i $1 -c:v libx264 -b:v 0.5M -minrate 0.5M -preset fast -vf scale=960:540 -c:a aac -b:a 128K ${videoname}_540.mp4
ffmpeg -i $1 -y -codec:a libmp3lame -ac 2 -ar 44100 -ab 64k -id3v2_version 3 -metadata title="$videoname" -metadata album_artist="Charles Martin" -metadata album="COMP2300 2020" -metadata genre="Vocal" -metadata date="2020" ${videoname}_audio.mp3
echo "done, phew."