script sets up fresh ML-in-a-box (Ubuntu 16) Paperspace template for densecap

paperspace_densecap.sh

# 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
luarocks install lua-cjson
sudo apt-get -y install libpng++-dev libpng12-dev

# install cudnn
tar -xzvf ~/Downloads/cudnn-9.1-linux-x64-v7.1.tgz -C ~/Downloads
sudo cp -P ~/Downloads/cuda/include/cudnn.h /usr/local/cuda/include
sudo cp -P ~/Downloads/cuda/lib64/libcudnn* /usr/local/cuda/lib64/
sudo chmod a+r /usr/local/cuda/lib64/libcudnn*

# 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

# more luarocks for densecap
luarocks install https://raw.githubusercontent.com/genekogan/stnbhwd/master/stnbhwd-scm-1.rockspec
luarocks install https://raw.githubusercontent.com/jcjohnson/torch-rnn/master/torch-rnn-scm-1.rockspec

# setup densecap
git clone https://github.com/jcjohnson/densecap
cd densecap
sh scripts/download_pretrained_model.sh

# test densecap
th run_model.lua -input_image imgs/elephant.jpg
cd vis
python -m http.server  	# go to localhost:8000