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fast-neural-doodle: init at 0.0pre2016-07-01

This commit is contained in:
Michael Raskin 2016-08-31 19:45:20 +02:00
parent 2f5630a89f
commit 1280b110cb
4 changed files with 100 additions and 0 deletions

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{stdenv, fetchFromGitHub, fetchurl, torch, torch-hdf5, loadcaffe, bash
, python, numpy, scipy, h5py, scikitlearn, pillow
}:
stdenv.mkDerivation rec {
name = "fast-neural-doodle-${version}";
version = "0.0pre2016-07-01";
buildInputs = [
torch torch-hdf5 python numpy h5py scikitlearn scipy pillow
];
inherit torch loadcaffe bash python;
torch_hdf5 = torch-hdf5;
python_libPrefix = python.libPrefix;
src = fetchFromGitHub {
owner = "DmitryUlyanov";
repo = "fast-neural-doodle";
rev = "00c35a4440d1d58b029d7bdf9bc56743b1a1835f";
sha256 = "0xhmhxhjm59pfjm2q27g2xfb35hg0vlqkk3sb3llx2qqq2c7jk8m";
};
models = [
(fetchurl {
url = "https://gist.githubusercontent.com/ksimonyan/3785162f95cd2d5fee77/raw/bb2b4fe0a9bb0669211cf3d0bc949dfdda173e9e/VGG_ILSVRC_19_layers_deploy.prototxt";
sha256 = "09cpz7pyvc8sypg2q5j2i8yqwj1sjdbnmd6skl293p9pv13dmjg7";
})
(fetchurl {
url = "https://bethgelab.org/media/uploads/deeptextures/vgg_normalised.caffemodel";
sha256 = "11qckdvlck7wwl3pan0nawgxm8l2ccddi272i5l8rs9qzm7b23rf";
})
(fetchurl {
url = "http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_19_layers.caffemodel";
sha256 = "0m399x7pl4lnhy435ycsyz8xpzapqmx9n1sz698y2vhcqhkwdd1i";
})
];
installPhase = ''
mkdir -p "$out"/{doc/fast-neural-doodle,lib/lua/fast_neural_doodle,lib/${python.libPrefix}/fast_neural_doodle,bin}
cp -r data src fast_neural_doodle.lua "$out/lib/lua/fast_neural_doodle/"
for file in $models; do
ln -s "$file" "$out/lib/lua/fast_neural_doodle/data/pretrained/$(basename "$file" | sed -e 's/[^-]*-//')"
done;
cp get_mask_hdf5.py "$out/lib/${python.libPrefix}/fast_neural_doodle"
cp *.md LICENSE "$out/doc/fast-neural-doodle"
export pythonpath="$PYTHONPATH"
substituteAll "${./get-hdf5-mask.sh}" "$out/bin/get-hdf5-mask"
substituteAll "${./fast-neural-doodle.sh}" "$out/bin/fast-neural-doodle"
chmod a+x "$out/bin"/*
"$out/bin/get-hdf5-mask" --n_colors=4 --style_image data/Renoir/style.png --style_mask data/Renoir/style_mask.png --target_mask data/Renoir/target_mask.png --out_hdf5 masks.hdf5
"$out/bin/fast-neural-doodle" -gpu -1 -masks_hdf5 masks.hdf5 -num_iterations 1
'';
meta = {
inherit version;
description = ''Faster neural doodle'';
license = stdenv.lib.licenses.mit;
maintainers = [stdenv.lib.maintainers.raskin];
platforms = stdenv.lib.platforms.linux;
};
}

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#! @bash@/bin/bash
declare -a args
c=1
flag=
for arg in "$@"; do
if test "$arg" = "${arg#-}" && test "$arg" = "${arg#/}" && test -n "$flag"; then
arg="$PWD/$arg"
flag=
elif (test "$arg" != "${arg%_image}" || test "$arg" == "-masks_hdf5") && test "$arg" != "${arg#-}"; then
flag=1
else
flag=
fi
args[c]="$arg";
c=$((c+1));
done
cd "@out@/lib/lua/fast_neural_doodle"
export LUA_PATH="$LUA_PATH${LUA_PATH:+;}@loadcaffe@/lua/?/init.lua;@loadcaffe@/lua/?.lua"
export LUA_PATH="$LUA_PATH${LUA_PATH:+;}@torch_hdf5@/lua/?/init.lua;@torch_hdf5@/lua/?.lua"
export LUA_CPATH="$LUA_CPATH${LUA_CPATH:+;}@loadcaffe@/lib/?.so"
set -x
@torch@/bin/th fast_neural_doodle.lua "${args[@]}"

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#! @bash@/bin/bash
export PYTHONPATH="@pythonpath@"
@python@/bin/python "@out@/lib/@python_libPrefix@/fast_neural_doodle/get_mask_hdf5.py" "$@"

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@ -1510,6 +1510,11 @@ in
fakechroot = callPackage ../tools/system/fakechroot { };
fast-neural-doodle = callPackage ../tools/graphics/fast-neural-doodle {
inherit (python27Packages) numpy scipy h5py scikitlearn python
pillow;
};
fatsort = callPackage ../tools/filesystems/fatsort { };
fcitx = callPackage ../tools/inputmethods/fcitx {