genekogan

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genekogan

/* --------------------------------------------------------------------------
 * SimpleOpenNI User Test
 * --------------------------------------------------------------------------
 * Processing Wrapper for the OpenNI/Kinect 2 library
 * http://code.google.com/p/simple-openni
 * --------------------------------------------------------------------------
 * prog:  Max Rheiner / Interaction Design / Zhdk / http://iad.zhdk.ch/
 * date:  12/12/2012 (m/d/y)
 * ----------------------------------------------------------------------------
 */

genekogan

Using pyenv + pipenv

install PyEnv and PipEnv if you don't have it already:

git clone https://github.com/pyenv/pyenv.git ~/.pyenv
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc
exec "$SHELL"

pip install -U pipenv

genekogan

# luarocks
sudo rm -rf ~/.cache/luarocks/
luarocks install loadcaffe
luarocks install cutorch
luarocks install cudnn
luarocks install cunn
luarocks install torch
luarocks install nn
luarocks install image

genekogan

Keybase proof

I hereby claim:

• I am genekogan on github.
• I am genekogan (https://keybase.io/genekogan) on keybase.
• I have a public key ASAsYjWbGA30myV56Ln5AfmPZwf503RRRu6O9m9b4ajWFAo

To claim this, I am signing this object:

genekogan

# repair luarocks
sudo rm -rf ~/.cache/luarocks/
luarocks install loadcaffe
luarocks install cutorch
luarocks install cudnn
luarocks install cunn

# get cudnn (https://developer.nvidia.com/cudnn) and then (assuming cudnn 7.*) ...
git clone https://github.com/soumith/cudnn.torch.git -b R7 && cd cudnn.torch && luarocks make cudnn-scm-1.rockspec && cd .. && rm -rf cudnn.torch

genekogan

sudo systemctl stop lightdm
sudo nohup X -ac  >/dev/null 2>&1 &
export DISPLAY=:0
./myApp

genekogan

#!/bin/bash

# fix keys
sudo killall apt apt-get
sudo rm /var/lib/apt/lists/lock
sudo rm /var/cache/apt/archives/lock
sudo rm /var/lib/dpkg/lock
sudo rm /var/lib/dpkg/lock-frontend
sudo dpkg --configure -a
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -

genekogan

Instructions for making a Neural-Style movie

The following instructions are for creating your own animations using the style transfer technique described by Gatys, Ecker, and Bethge, and implemented by Justin Johnson. To see an example of such an animation, see this video of Alice in Wonderland re-styled by 17 paintings.

Setting up the environment

The easiest way to set up the environment is to simply load Samim's a pre-built Terminal.com snap or use another cloud service like Amazon EC2. Unfortunately the g2.2xlarge GPU instances cost $0.99 per hour, and depending on parameters selected, it may take 10-15 minutes to produce a 512px-wide image, so it can cost $2-3 to generate 1 sec of video at 12fps.

If you do load the

genekogan

0) tench, Tinca tinca
1) goldfish, Carassius auratus
2) great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias
3) tiger shark, Galeocerdo cuvieri
4) hammerhead, hammerhead shark
5) electric ray, crampfish, numbfish, torpedo
6) stingray
7) cock
8) hen
9) ostrich, Struthio camelus