Wednesday, April 4, 2018

Reconfiguring Timidity for different soundfonts

Using FluidR3_GM.sf2 in TiMidity++

by Shelagh Manton

Someone has suggested that TiMidity++ is not up to it when it comes to being a nice midi synth for use with Rosegarden. I investigated ways to improve its sound by using the FluidR3_GM.sf2 soundfont which can be found in the package repositories of many distributions these days. TiMidity++ is ideal for those who do not want to use jackd to set up softsynths such as fluidsynth, QSynth, or the DSSI synth plugins. If you only work in MIDI and have no wish to do audio work maybe the following advice might be your best bet for getting quality sound out of Rosegarden.
You will need admin privileges to do the following. On Red Hat based distros you are not always set up to use sudo, you might have to su to a privileged shell, instead.

First install the soundfont
sudo apt-get install fluid-soundfont-gm fluid-soundfont-gs
or (if you're on a Red Hat based distro)
sudo yum install fluid-soundfont
Other people you're on your own. :-D
You will find it in /usr/share/sounds/sf2/ (Ubuntu, possibly all Debian derivatives)
/usr/share/soundfonts/ (Red Hat)
Then open /etc/timidity/timidity.cfg
sudo gedit /etc/timidity/timidity.cfg
There will be a line at the bottom of the config file which reads
source freepats.cfg
replace that with the following
dir /usr/share/sounds/sf2/
soundfont FluidR3_GM.sf2
(Red Hat)
dir /usr/share/soundfonts/
soundfont FluidR3_GM.sf2
save the file…
And then in a terminal do
sudo /etc/init.d/timidity restart
for Ubuntu and friends.
If this fails to work, or for distros other than Ubuntu, you may need to run TiMidity++ manually. It has a complicated set of options, but the only option you need to be concerned with is whether to direct its audio through JACK or directly through ALSA.
If you have JACK running, try using:
timidity -iA -Oj
If not, try this instead:
timidity -iA -Os
(In either case, you always want “-iA” which makes TiMidity++ become an ALSA MIDI client, so it can be used with applications like Rosegarden.)

Wednesday, February 8, 2017

Install and setup crouton on ChromeOS

Put chromebook into developer mode
download crouton installer:
Pull up terminal tab in chrome:

Enter a linux shell:
crosh> shell

Check for target desired:
sh ~/Downloads/crouton -t list
Check for release desired with
sh ~/Downloads/crouton -r list
This install used release trusty and the bare x11 target::
sudo sh ~/Downloads/crouton -r trusty -t audio -t xiwi -t x11 -t extension -t xiwi -t xorg -t cli-extra

Install the extension

Sunday, September 11, 2016

Install notes for Tensorflow

Installed CUDA 7.5 and CuDNN 5.1.3

Steps modified from

# Need Java 1.8 for bazel, on 14.04 this is a big mess - 14.10 and up openjdk-8 is in the repos
sudo dpkg --install --recursive --auto-deconfigure libjpeg62-turbo_1.3.1-12_amd64.deb
sudo apt-get update

sudo apt-get install debian-keyring debian-archive-keyring

sudo sh -c 'echo "deb jessie-backports main" >> /etc/apt/sources.list.d/debian-jessie-backports.list'

sudo sh -c 'echo "Package: *" >> /etc/apt/preferences.d/debian-jessie-backports'

sudo sh -c 'echo "Pin: release o=Debian,a=jessie-backports" >> /etc/apt/preferences.d/debian-jessie-backports'

sudo sh -c 'echo "Pin-Priority: -200" >> /etc/apt/preferences.d/debian-jessie-backports'
sudo apt-get -t jessie-backports install openjdk-8-jre openjdk-8-jre-headless openjdk-8-jdk-headless openjdk-8-jdk

# Set both to Java 8
sudo update-alternatives --config java
sudo update-alternatives --config javac

# Now for bazel
git clone
cd bazel
git checkout tags/0.2.1
sudo cp output/bazel /usr/bin

# Tensorflow
git clone --recurse-submodules
git checkout r0.10
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"
export CUDA_HOME=/usr/local/cuda
bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
pip install wheel
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
pip install /tmp/tensorflow_pkg/tensorflow-0.10.0-cp27-none-linux_x86_64.whl

Saturday, September 10, 2016

Get CuDNN from command line

Check the Dockerfile

Monday, August 1, 2016

Magic fix for GPU issues in Tensorflow

E tensorflow/stream_executor/cuda/] failed call to cuInit: CUDA_ERROR_UNKNOWN
I tensorflow/stream_executor/cuda/] libcuda reported version is: Not found: was unable to find DSO loaded into this program

I tensorflow/stream_executor/cuda/] driver version file contents: """NVRM version: NVIDIA UNIX x86_64 Kernel Module  367.35  Mon Jul 11 23:14:21 PDT 2016
GCC version:  gcc version 4.8.4 (Ubuntu 4.8.4-2ubuntu1~14.04.3)
I tensorflow/stream_executor/cuda/] kernel reported version is: 367.35.0
I tensorflow/core/common_runtime/gpu/] No GPU devices available on machine.

This error can be fixed by

sudo apt-get install nvidia-modprobe

See issue

Friday, June 17, 2016

Screen bindings to start paned session and rebind pane focus

Put the following lines in ~/.screenrc

bind j focus down                                                            
bind k focus up                                                              
bind l focus right                                                          
bind h focus left                                                            
layout new                                                                    
split -v                                                                      
screen 0                                                                      
focus right                                                                  
screen 1                                                                      
focus down

Wednesday, May 18, 2016

SOCKS proxy with chrome and SSH

In the particular case of an ssh proxy running, connected to something like ssh -D 4321

google-chrome --proxy-server="socks5://" --host-resolver-rules="MAP * , EXCLUDE"


 /Applications/Google\\ Chrome --proxy-server="socks5://" --host-resolver-rules="MAP * , EXCLUDE"