elijahc

Jupyterhub + pyenv

Installation Instructions

Python 3.4 or greater

https://github.com/jupyterhub/jupyterhub

pip install --upgrade jupyterhub notebook

elijahc

# Install the relevant system requirements
sudo apt-get update

# Install Python 2.7  w/ development headers
sudo apt-get install -y python
sudo apt-get install -y python-dev

# Install NEURON deps
sudo apt-get install -y libx11-dev
sudo apt-get install -y libxext-dev

elijahc

# Source:
# https://sourceforge.net/p/jaer/code/HEAD/tree/scripts/python/jAER_utils/loadaerdat.py
import struct
import os

V3 = "aedat3"
V2 = "aedat"  # current 32bit file format
V1 = "dat"  # old format

EVT_DVS = 0  # DVS event type

elijahc

import keras.backend as K

def reset_weights(model):
    session = K.get_session()
    for layer in model.layers: 
        if hasattr(layer, 'kernel_initializer'):
            layer.kernel.initializer.run(session=session)

elijahc

Use gphoto2 to operate camera from raspberry pi

Useful links

http://photolifetoys.blogspot.com/2012/08/control-your-camera-with-gphoto2-via.html

https://medium.com/@cgulabrani/controlling-your-dslr-through-raspberry-pi-ad4896f5e225

elijahc

ACTION=="add"
KERNEL=="sd?1", \
ATTRS{busnum}=="3", \
ATTRS{devpath}=="2", \
ENV{mount_point}=df "$env{DEVNAME}" | tail -1 | awk '{ print $6}'
SYMLINK+="bak_src", \
RUN+="/bin/rm /media/bak_src", RUN+="/bin/ln -s $env{mount_point} /media/bak_src"

ACTION=="remove"
KERNEL=="sd?1", \

elijahc

Convert sequence of JPEG images to MP4 video

ffmpeg -r 24 -pattern_type glob -i '*.JPG' -i DSC_%04d.JPG -s hd1080 -vcodec libx264 timelapse.mp4

• -r 24 - output frame rate
• -pattern_type glob -i '*.JPG' - all JPG files in the current directory
• -i DSC_%04d.JPG - e.g. DSC_0397.JPG
• -s hd1080 - 1920x1080 resolution

Slower, better quality

elijahc

# Inspired by
# http://forums.fast.ai/t/tip-clear-tensorflow-gpu-memory/1979
# https://github.com/tensorflow/tensorflow/issues/1578#issuecomment-200544189
import keras.backend as K

def limit_mem():
    K.get_session().close()
    cfg = K.tf.ConfigProto()
    cfg.gpu_options.allow_growth = True
    K.set_session(K.tf.Session(config=cfg))

elijahc

How to install NVIDIA Docker 2 package on Ubuntu and Debian:

If you came to this result (from Google or elsewhere) after realizing that Nvidia-docker's entry on this subject does not result in a working installation, here are the basic steps needed to install this package correctly:

For starters, ensure that you've installed the latest Docker Community edition by following the steps below:

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

elijahc

# Configure so you don't need enter passwd for openconnect and kill

function vpnsetup() {
    sudo sh -c 'echo "%admin ALL=(ALL) NOPASSWD: /usr/local/bin/openconnect, /bin/kill" > /etc/sudoers.d/openconnect'
}

function vpnstart() {
    gpg --decrypt -a ~/.vpn_pass.gpg 2>/dev/null | sudo openconnect \
        --background \
        --pid-file="$HOME/.openconnect.pid" \