First commit after package adoption. Major rewrite.

A major rewrite was made. Most important changes:

- removed 'Makefile.config' file (configuration is now made in PKGBUILD)
- removed the custom 'classify.py' in order to follow upstream
- removed the 250MB download during build()
- removed the source tree installation in '/opt'
- added cuDNN support
- added NCCL support
- added 'distribute' make target for easier installation
- added documentation
- use python3 instead of python2

note1: if you want python2 just follow PKGBUILD instructions

note2: current AUR dependencies:
  - openblas-lapack
  - cudnn
  - nccl
  - python-leveldb
  - python-scikit-image

4 files changed, 197 insertions, 463 deletions

diff --git a/.SRCINFO b/.SRCINFO
index ff83957cff19..72e972fe0330 100644
--- a/.SRCINFO
+++ b/.SRCINFO
@@ -1,56 +1,56 @@
+# Generated by mksrcinfo v8
+# Sun Mar 19 06:38:01 UTC 2017
 pkgbase = caffe-git
-	pkgdesc = A fast framework for deep learning built in C++ for speed with a Python 2 interface
-	pkgver = rc3.r249.g7f8f9e1
+	pkgdesc = A deep learning framework made with expression, speed, and modularity in mind (git version, gpu enabled)
+	pkgver = rc5.r5.g317d162ac
 	pkgrel = 1
-	url = https://github.com/BVLC/caffe
+	url = http://caffe.berkeleyvision.org/
 	arch = x86_64
-	license = custom
+	license = BSD
 	makedepends = git
-	makedepends = python2-setuptools
-	makedepends = gcc-fortran
-	makedepends = wget
-	depends = cuda
-	depends = opencv
-	depends = openblas-lapack
+	makedepends = doxygen
+	makedepends = texlive-core
+	depends = boost-libs
+	depends = protobuf
 	depends = google-glog
 	depends = gflags
+	depends = hdf5
+	depends = opencv
+	depends = leveldb
 	depends = lmdb
-	depends = cython2
-	depends = ipython2
-	depends = python2-pillow
-	depends = python2-numpy
-	depends = python2-yaml
-	depends = python2-numpy
-	depends = python2-scipy
-	depends = python2-scikit-image
-	depends = python2-scikit-learn
-	depends = python2-matplotlib
-	depends = python2-h5py
-	depends = python2-leveldb
-	depends = python2-networkx
-	depends = python2-nose
-	depends = python2-pandas
-	depends = python2-dateutil
-	depends = python2-protobuf
-	depends = python2-gflags
-	depends = python2-pandas
+	depends = python
 	depends = boost
-	depends = boost-libs
-	depends = bc
+	depends = cython
+	depends = python-numpy
+	depends = python-scipy
+	depends = python-matplotlib
+	depends = ipython
+	depends = python-h5py
+	depends = python-networkx
+	depends = python-nose
+	depends = python-pandas
+	depends = python-dateutil
+	depends = python-protobuf
+	depends = python-gflags
+	depends = python-yaml
+	depends = python-pillow
+	depends = python-six
+	depends = openblas-lapack
+	depends = cudnn
+	depends = nccl
+	depends = python-leveldb
+	depends = python-scikit-image
+	depends = python-pydot
 	provides = caffe
-	provides = pycaffe
-	provides = python2-pycaffe
+	provides = caffe-cpu
+	provides = caffe-cpu-git
 	conflicts = caffe
-	conflicts = pycaffe
-	conflicts = python2-pycaffe
-	conflicts = pycaffe-git
-	conflicts = python2-pycaffe-git
-	source = git+https://github.com/BVLC/caffe.git
-	source = classify-print-results.py
-	source = Makefile.config
+	conflicts = caffe-cpu
+	conflicts = caffe-cpu-git
+	conflicts = caffe-dr-git
+	conflicts = caffe-mnc-dr-git
+	source = caffe-git::git+https://github.com/BVLC/caffe.git
 	sha256sums = SKIP
-	sha256sums = c12ddbd524c1b5871cb42a8775cf17a3ef86ae8a859837a6c6c4e2c19deca3d5
-	sha256sums = 35fa1150f5a5b3909e96422f1efe10d43bdd8cef6c0c5d5528c53f0bc579dd74
 
 pkgname = caffe-git
 
diff --git a/Makefile.config b/Makefile.config
deleted file mode 100644
index 230d50b5f666..000000000000
--- a/Makefile.config
+++ /dev/null
@@ -1,78 +0,0 @@
-## Refer to http://caffe.berkeleyvision.org/installation.html
-# Contributions simplifying and improving our build system are welcome!
-
-# cuDNN acceleration switch (uncomment to build with cuDNN).
-# USE_CUDNN := 1
-
-# CPU-only switch (uncomment to build without GPU support).
-# CPU_ONLY := 1
-
-# To customize your choice of compiler, uncomment and set the following.
-# N.B. the default for Linux is g++ and the default for OSX is clang++
-# CUSTOM_CXX := g++
-
-# CUDA directory contains bin/ and lib/ directories that we need.
-CUDA_DIR := /opt/cuda
-# On Ubuntu 14.04, if cuda tools are installed via
-# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
-# CUDA_DIR := /usr
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
-		-gencode arch=compute_20,code=sm_21 \
-		-gencode arch=compute_30,code=sm_30 \
-		-gencode arch=compute_35,code=sm_35 \
-		-gencode arch=compute_50,code=sm_50 \
-		-gencode arch=compute_50,code=compute_50
-
-# BLAS choice:
-# atlas for ATLAS (default)
-# mkl for MKL
-# open for OpenBlas
-BLAS := open
-# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
-# Leave commented to accept the defaults for your choice of BLAS
-# (which should work)!
-# BLAS_INCLUDE := /path/to/your/blas
-# BLAS_LIB := /path/to/your/blas
-
-# This is required only if you will compile the matlab interface.
-# MATLAB directory should contain the mex binary in /bin.
-# MATLAB_DIR := /usr/local
-# MATLAB_DIR := /Applications/MATLAB_R2012b.app
-
-# NOTE: this is required only if you will compile the python interface.
-# We need to be able to find Python.h and numpy/arrayobject.h.
-PYTHON_INCLUDE := /usr/include/python2.7 \
-		/usr/lib/python2.7/site-packages/numpy/core/include
-# Anaconda Python distribution is quite popular. Include path:
-# PYTHON_INCLUDE := $(HOME)/anaconda/include \
-		# $(HOME)/anaconda/include/python2.7 \
-		# $(HOME)/anaconda/lib/python2.7/site-packages/numpy/core/include
-
-# We need to be able to find libpythonX.X.so or .dylib.
-PYTHON_LIB := /usr/lib
-# PYTHON_LIB := $(HOME)/anaconda/lib
-
-# Uncomment to support layers written in Python (will link against Python libs)
-WITH_PYTHON_LAYER := 1
-
-# Whatever else you find you need goes here.
-INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/include
-LIBRARY_DIRS := $(PYTHON_LIB) /usr/lib
-
-BUILD_DIR := build
-DISTRIBUTE_DIR := distribute
-
-# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
-# DEBUG := 1
-
-# The ID of the GPU that 'make runtest' will use to run unit tests.
-TEST_GPUID := 0
-
-# enable pretty build (comment to see full commands)
-Q ?= @
-
-# Indicate that OpenCV 3 is being used
-OPENCV_VERSION := 3
diff --git a/PKGBUILD b/PKGBUILD
index 8aacdb49e1a1..261fb5d51df5 100644
--- a/PKGBUILD
+++ b/PKGBUILD
@@ -1,187 +1,169 @@
-# Maintainer:  Drew Noel <drewmnoel@gmail.com>
+# Maintainer : Daniel Bermond < yahoo-com: danielbermond >
+# Contributor: Drew Noel <drewmnoel@gmail.com>
+# Contributor: Jonathan Yantis
 
 pkgname=caffe-git
-pkgver=rc3.r249.g7f8f9e1
+pkgver=rc5.r5.g317d162ac
 pkgrel=1
-pkgdesc='A fast framework for deep learning built in C++ for speed with a Python 2 interface'
-arch=(x86_64)
-url='https://github.com/BVLC/caffe'
-license=('custom')
-
-# if using an AWS EC2 make sure to use the community repo for cuda and not the ec2 repo. 
-depends=('cuda'
-         'opencv'
-         'openblas-lapack'
-         'google-glog'
-         'gflags'
-         'lmdb'
-         'cython2'
-         'ipython2'
-         'python2-pillow'
-         'python2-numpy'
-         'python2-yaml'
-         'python2-numpy'
-         'python2-scipy'
-         'python2-scikit-image'
-         'python2-scikit-learn'
-         'python2-matplotlib'
-         'python2-h5py'
-         'python2-leveldb'
-         'python2-networkx'
-         'python2-nose'
-         'python2-pandas'
-         'python2-dateutil'
-         'python2-protobuf'
-         'python2-gflags'
-         'python2-pandas'
-         'boost'
-         'boost-libs'
-         'bc'
-        )
-
-source=('git+https://github.com/BVLC/caffe.git'
-        'classify-print-results.py'
-        'Makefile.config')
-makedepends=('git' 'python2-setuptools' 'gcc-fortran' 'wget')
-provides=('caffe' 'pycaffe' 'python2-pycaffe' )
-conflicts=('caffe' 'pycaffe' 'python2-pycaffe' 'pycaffe-git' 'python2-pycaffe-git')
-sha256sums=('SKIP'
-            'c12ddbd524c1b5871cb42a8775cf17a3ef86ae8a859837a6c6c4e2c19deca3d5'
-            '35fa1150f5a5b3909e96422f1efe10d43bdd8cef6c0c5d5528c53f0bc579dd74')
+pkgdesc="A deep learning framework made with expression, speed, and modularity in mind (git version, gpu enabled)"
+arch=('x86_64')
+url="http://caffe.berkeleyvision.org/"
+license=('BSD')
+depends=( # binary repositories:
+          'boost-libs' 'protobuf' 'google-glog' 'gflags' 'hdf5' 'opencv' 'leveldb'
+          'lmdb' 'python' 'boost' 'cython' 'python-numpy' 'python-scipy'
+          'python-matplotlib' 'ipython' 'python-h5py' 'python-networkx' 'python-nose'
+          'python-pandas' 'python-dateutil' 'python-protobuf' 'python-gflags'
+          'python-yaml' 'python-pillow' 'python-six'
+          # AUR:
+          'openblas-lapack' 'cudnn' 'nccl' 'python-leveldb' 'python-scikit-image'
+          'python-pydot')
+makedepends=('git' 'doxygen' 'texlive-core')
+provides=('caffe' 'caffe-cpu' 'caffe-cpu-git')
+conflicts=('caffe' 'caffe-cpu' 'caffe-cpu-git' 'caffe-dr-git' 'caffe-mnc-dr-git')
+source=("${pkgname}"::"git+https://github.com/BVLC/caffe.git")
+sha256sums=('SKIP')
+
+prepare() {
+    cd "${srcdir}/${pkgname}"
+    
+    # prepare to configure options in Makefile.config
+    cp -f Makefile.config.example Makefile.config
+    
+    # enable cuDNN acceleration switch
+    sed -i '/USE_CUDNN/s/^#[[:space:]]//g' Makefile.config
+    
+    # enable NCCL acceleration switch
+    sed -i '/USE_NCCL/s/^#[[:space:]]//g' Makefile.config
+    
+    # strictly enable I/O dependencies
+    sed -i '/USE_OPENCV/s/^#[[:space:]]//;/USE_OPENCV/s/0/1/'   Makefile.config
+    sed -i '/USE_LEVELDB/s/^#[[:space:]]//;/USE_LEVELDB/s/0/1/' Makefile.config
+    sed -i '/USE_LMDB/s/^#[[:space:]]//;/USE_LMDB/s/0/1/'       Makefile.config
+    sed -i '/OPENCV_VERSION/s/^#[[:space:]]//g'                 Makefile.config
+    
+    # use gcc5 (gcc6 do not work)
+    sed -i '/CUSTOM_CXX/s/^#[[:space:]]//;/CUSTOM_CXX/s/$/-5/' Makefile.config
+    
+    # set CUDA directory
+    sed -i '/CUDA_DIR/s/\/usr\/local\/cuda/\/opt\/cuda/' Makefile.config
+    
+    # set OpenBLAS as the BLAS provider and adjust its directories
+    sed -i '/BLAS[[:space:]]\:=[[:space:]]atlas/s/atlas/open/'                                 Makefile.config
+    sed -i 's/.*BLAS_INCLUDE[[:space:]]\:=[[:space:]]\/path.*/BLAS_INCLUDE := \/usr\/include/' Makefile.config
+    sed -i 's/.*BLAS_LIB[[:space:]]\:=[[:space:]]\/path.*/BLAS_LIB := \/usr\/lib/'             Makefile.config
+    
+    # python3 settings
+    _py2inc_line="$(sed -n '/PYTHON_INCLUDE[[:space:]]\:=[[:space:]]\/usr\/include\/python2\.7/='  Makefile.config)"
+    _py3inc_line="$(sed -n '/PYTHON_INCLUDE[[:space:]]\:=[[:space:]]\/usr\/include\/python3\.5m/=' Makefile.config)"
+    _py3libs_line="$(sed -n '/PYTHON_LIBRARIES/=' Makefile.config)"
+    sed -i "$((_py2inc_line))s/^/# /"  Makefile.config # comment python2 lines
+    sed -i "$((_py2inc_line+1))s/^/#/" Makefile.config
+    sed -i "$((_py3inc_line))s/^#[[:space:]]//"   Makefile.config # uncomment python3 PYTHON_INCLUDE lines
+    sed -i "$((_py3inc_line+1))s/^#//"            Makefile.config
+    sed -i "$((_py3libs_line))s/^#[[:space:]]//"  Makefile.config # uncomment PYTHON_LIBRARIES line
+    sed -i "$((_py3libs_line))s/5/6/"             Makefile.config # change version in PYTHON_LIBRARIES
+    sed -i "$((_py3inc_line))s/5/6/"              Makefile.config # change version in python3 PYTHON_INCLUDE
+    sed -i "$((_py3inc_line+1))s/5/6/;$((_py3inc_line+1))s/dist/site/" Makefile.config
+    
+    # use python layers
+    sed -i '/WITH_PYTHON_LAYER/s/^#[[:space:]]//g' Makefile.config
+    
+    # python2 settings
+    #     if you want to use python2 _instead_ of python3:
+    #         - uncomment this block
+    #         - comment the python3 block
+    #         - change python3 depends and optdepends to python2
+    #         - NOTE: do not enable both python2 and python3 blocks. choose only one.
+    #         - NOTE: python2 is the Caffe default but this package uses python3 by default
+    #_py2inc_line="$(sed -n '/PYTHON_INCLUDE[[:space:]]\:=[[:space:]]\/usr\/include\/python2\.7/=' Makefile.config)"
+    #sed -i "$((_py2inc_line+1))s/dist/site/" Makefile.config
+}
 
 pkgver() {
-  cd $srcdir/caffe
-  set -o pipefail
-  git describe --long --tags | sed 's/\([^-]*-g\)/r\1/;s/-/./g'
+    cd "${srcdir}/${pkgname}"
+    
+    # git, tags available
+    git describe --long --tags | sed 's/\([^-]*-g\)/r\1/;s/-/./g'
 }
 
 build() {
-  # You can modify this file and do some stuff like turn off using the GPU etc
-  cp Makefile.config $srcdir/caffe
-
-  # Modified classify.py for testing that will output results
-  cp classify-print-results.py $srcdir/caffe/python/
-
-  cd $srcdir/caffe
-
-  # Patch any #!/usr/bin/python to #!/usr/bin/python2
-  for file in $(find . -name '*.py' -print); do
-    sed -r -i 's_^#!.*/usr/bin/python(\s|$)_#!/usr/bin/python2_' $file
-    sed -r -i 's_^#!.*/usr/bin/env(\s)*python(\s|$)_#!/usr/bin/env python2_' $file
-  done
- # Do the same for python examples
-  for file in $(find . -name '*.py.example' -print); do
-    sed -r -i 's_^#!.*/usr/bin/python(\s|$)_#!/usr/bin/python2_' $file
-    sed -r -i 's_^#!.*/usr/bin/env(\s)*python(\s|$)_#!/usr/bin/env python2_' $file
-  done
-
-  # If the user has colormake installed then use that instead of make.
-  if hash colormake 2>/dev/null; then
-    colormake all
-    colormake pycaffe
-  else
+    cd "${srcdir}/${pkgname}"
+    msg2 "Building target 'all'..."
     make all
+    msg2 "Building target 'pycaffe'..."
     make pycaffe
-  fi
-
-  msg "Downloading the ImageNet Caffe model and labels" 
-  python2 scripts/download_model_binary.py models/bvlc_reference_caffenet # 232 MB
-  sh data/ilsvrc12/get_ilsvrc_aux.sh # 17 MB
-
-  msg "Downloading the mnist data"
-  sh data/mnist/get_mnist.sh #10 MB
+    rm -rf doxygen
+    msg2 "Building target 'docs'..."
+    make docs
+    msg2 "Building target 'distribute'..."
+    make distribute
 }
 
-# check() {
-#   cd caffe
-
-#   # Unrem these next two lines to run the 838 tests
-#   # make test
-#   # make runtest
-
-#   # A simple test to make sure its working (Attempt to classify a picture of a cat)
-#   # Expected result: [('tabby', '0.27933'), ('tiger cat', '0.21915'), ('Egyptian cat', '0.16064'), ('lynx', '0.12844'), ('kit fox', '0.05155')]
-#   python2 python/classify-print-results.py --print_results examples/images/cat.jpg foo
-#   msg "Tested that everything works.. you should see some cat type classifiations above this message"
-# }
-
 package() {
-  cd $srcdir/caffe
-
-  # Setup Python by hand since no setup.py 
-  mkdir -p $pkgdir/usr/lib/python2.7/site-packages/caffe/
-  cp -R python/caffe/* $pkgdir/usr/lib/python2.7/site-packages/caffe/
-
-  # Add missing __init__.py file to ensure that the modules are detected.
-  find "$pkgdir/usr/lib/python2.7/site-packages/caffe" -type d -exec touch '{}'/__init__.py \;
-
-  # Still leaving a copy of the python code in the main caffe directory since it might be useful for some
-  # Though because of that namcap will give this error:
-  # caffe-git E: ELF file ('opt/caffe/python/caffe/_caffe.so') outside of a valid path.
-
-  # Install shared libraries
-  mkdir -p $pkgdir/usr/lib/
-  install -Dm644 build/lib/* "${pkgdir}/usr/lib/"
-
-  ### Install all the execulables ###
-  mkdir -p $pkgdir/usr/bin/
-
-  # Primary executable
-  install -D -m755 build/tools/caffe.bin "$pkgdir/usr/bin/caffe"
-
-  # Conversion executables 
-  install -D -m755 build/examples/cifar10/convert_cifar_data.bin "$pkgdir/usr/bin/convert_cifar_data"
-  install -D -m755 build/examples/mnist/convert_mnist_data.bin "$pkgdir/usr/bin/convert_mnist_data"
-  install -D -m755 build/examples/siamese/convert_mnist_siamese_data.bin "$pkgdir/usr/bin/convert_mnist_siamese_data"
-
-  # Depreciated executables. All in caffe executable now but included here for backwards compatiblity
-  install -D -m755 build/tools/finetune_net.bin "$pkgdir/usr/bin/finetune_net"
-  install -D -m755 build/tools/train_net.bin "$pkgdir/usr/bin/train_net"
-  install -D -m755 build/tools/device_query.bin "$pkgdir/usr/bin/device_query"
-  install -D -m755 build/tools/net_speed_benchmark.bin "$pkgdir/usr/bin/net_speed_benchmark"
-  install -D -m755 build/tools/compute_image_mean.bin "$pkgdir/usr/bin/compute_image_mean"
-  install -D -m755 build/tools/convert_imageset.bin "$pkgdir/usr/bin/convert_imageset"
-  install -D -m755 build/tools/test_net.bin "$pkgdir/usr/bin/test_net"
-  install -D -m755 build/tools/upgrade_net_proto_text.bin "$pkgdir/usr/bin/upgrade_net_proto_text"
-  # install -D -m755 build/tools/dump_network.bin "$pkgdir/usr/bin/dump_network"
-  install -D -m755 build/tools/extract_features.bin "$pkgdir/usr/bin/extract_features"
-
-  # Make main target dir
-  mkdir -p $pkgdir/opt/caffe
-
-  # Copy all source files over
-  cp .Doxyfile $pkgdir/opt/caffe/
-  cp .travis.yml $pkgdir/opt/caffe/
-  cp CMakeLists.txt $pkgdir/opt/caffe/
-  cp CONTRIBUTING.md $pkgdir/opt/caffe/
-  cp CONTRIBUTORS.md $pkgdir/opt/caffe/
-  cp INSTALL.md $pkgdir/opt/caffe/
-  cp LICENSE $pkgdir/opt/caffe/
-  cp Makefile $pkgdir/opt/caffe/
-  cp README.md $pkgdir/opt/caffe/
-  cp caffe.cloc $pkgdir/opt/caffe/
-  cp -r cmake $pkgdir/opt/caffe/
-  cp -r data $pkgdir/opt/caffe/
-  cp -r distribute $pkgdir/opt/caffe/
-  cp -r docker $pkgdir/opt/caffe/
-  cp -r docs $pkgdir/opt/caffe/
-  cp -r examples $pkgdir/opt/caffe/
-  cp -r include $pkgdir/opt/caffe/
-  cp -r matlab $pkgdir/opt/caffe/
-  cp -r models $pkgdir/opt/caffe/
-  cp -r python $pkgdir/opt/caffe/
-  cp -r scripts $pkgdir/opt/caffe/
-  cp -r src $pkgdir/opt/caffe/
-  cp -r tools $pkgdir/opt/caffe/
-
-  # Remove residual git files
-  find $pkgdir/opt/caffe/ -name .gitignore -delete
-
-  # Install BSD2 License (not in common licenses so lets make it custom)
-  install -D -m644 LICENSE "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
-
-  # Install Documentation
-  install -D -m644 README.md "${pkgdir}/usr/share/doc/${pkgname}/README.md"
+    # directories creation
+    mkdir -p "${pkgdir}/usr/bin"
+    mkdir -p "${pkgdir}/usr/include/caffe/"{layers,proto,test,util}
+    mkdir -p "${pkgdir}/usr/lib/python3.6/site-packages/caffe/"{imagenet,proto,test}
+    mkdir -p "${pkgdir}/usr/share/"{caffe,doc/"${pkgname}"/search,licenses/"${pkgname}"}
+    
+    cd "${pkgname}/distribute"
+    
+    # binaries
+    cd bin
+    install -D -m755 * "${pkgdir}/usr/bin"
+    
+    # libraries
+    cd ../lib
+    install -D -m755 *.so "${pkgdir}/usr/lib"
+    
+    # includes
+    cd ../include/caffe
+    install -D -m644 *.hpp "${pkgdir}/usr/include/caffe"
+    for _dir in layers proto test util
+    do
+        cd "${srcdir}/${pkgname}/distribute/include/caffe/${_dir}"
+        install -D -m644 * "${pkgdir}/usr/include/caffe/${_dir}"
+    done
+    
+    # python
+    cd ../../../python
+    install -D -m755 *.py "${pkgdir}/usr/bin"
+    rm -rf python # remove duplicated 'python' folder
+    
+    cd caffe
+    for _file in *
+    do
+        [ -d "$_file" ] && continue # skip directories
+        _mode="$(stat --format '%a' "$_file")"
+        install -D -m"$_mode" "$_file" "${pkgdir}/usr/lib/python3.6/site-packages/caffe"
+    done
+    
+    for _dir in imagenet proto test
+    do
+        cd "${srcdir}/${pkgname}/distribute/python/caffe/$_dir"
+        for _file in *
+        do
+            _mode="$(stat --format '%a' "$_file")"
+            install -D -m"$_mode" "$_file" "${pkgdir}/usr/lib/python3.6/site-packages/caffe/${_dir}"
+        done
+    done
+    
+    # proto
+    cd ../../../proto
+    install -D -m644 * "${pkgdir}/usr/share/caffe"
+    
+    # docs
+    cd ../../doxygen/html
+    for _file in *
+    do
+        [ -d "$_file" ] && continue # skip directories
+        install -D -m644 "$_file" "${pkgdir}/usr/share/doc/${pkgname}"
+    done
+    cd search
+    install -D -m644 * "${pkgdir}/usr/share/doc/${pkgname}/search"
+    
+    # license
+    cd "${srcdir}/${pkgname}"
+    install -D -m644 LICENSE "${pkgdir}/usr/share/licenses/${pkgname}"
 }
-
-# vim:set ts=2 sw=2 et:
diff --git a/classify-print-results.py b/classify-print-results.py
deleted file mode 100755
index e356c94f653c..000000000000
--- a/classify-print-results.py
+++ /dev/null
@@ -1,170 +0,0 @@
-#!/usr/bin/env python2
-"""
-classify.py is an out-of-the-box image classifer callable from the command line.
-
-By default it configures and runs the Caffe reference ImageNet model.
-"""
-import numpy as np
-import os
-import sys
-import argparse
-import glob
-import time
-import pandas as pd
-import caffe
-
-
-def main(argv):
-    pycaffe_dir = os.path.dirname(__file__)
-
-    parser = argparse.ArgumentParser()
-    # Required arguments: input and output files.
-    parser.add_argument(
-        "input_file",
-        help="Input image, directory, or npy."
-    )
-    parser.add_argument(
-        "output_file",
-        help="Output npy filename."
-    )
-    # Optional arguments.
-    parser.add_argument(
-        "--model_def",
-        default=os.path.join(pycaffe_dir,
-                             "../models/bvlc_reference_caffenet/deploy.prototxt"),
-        help="Model definition file."
-    )
-    parser.add_argument(
-        "--pretrained_model",
-        default=os.path.join(
-            pycaffe_dir,
-            "../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel"),
-        help="Trained model weights file.")
-
-    # parser.add_argument(
-    #     "--gpu",
-    #     action='store_true',
-    #     help="Switch for gpu computation."
-    # )
-
-    parser.add_argument(
-        "--center_only",
-        action='store_true',
-        help="Switch for prediction from center crop alone instead of " +
-             "averaging predictions across crops (default)."
-    )
-    parser.add_argument(
-        "--images_dim",
-        default='256,256',
-        help="Canonical 'height,width' dimensions of input images."
-    )
-    parser.add_argument(
-        "--mean_file",
-        default=os.path.join(pycaffe_dir,
-                             'caffe/imagenet/ilsvrc_2012_mean.npy'),
-        help="Data set image mean of H x W x K dimensions (numpy array). " +
-             "Set to '' for no mean subtraction."
-    )
-    parser.add_argument(
-        "--input_scale",
-        type=float,
-        help="Multiply input features by this scale to finish preprocessing."
-    )
-    parser.add_argument(
-        "--raw_scale",
-        type=float,
-        default=255.0,
-        help="Multiply raw input by this scale before preprocessing."
-    )
-    parser.add_argument(
-        "--channel_swap",
-        default='2,1,0',
-        help="Order to permute input channels. The default converts " +
-             "RGB -> BGR since BGR is the Caffe default by way of OpenCV."
-    )
-    parser.add_argument(
-        "--ext",
-        default='jpg',
-        help="Image file extension to take as input when a directory " +
-             "is given as the input file."
-    )
-    parser.add_argument(
-        "--labels_file",
-        default=os.path.join(pycaffe_dir,
-                             "../data/ilsvrc12/synset_words.txt"),
-        help="Readable label definition file."
-    )
-    parser.add_argument(
-        "--print_results",
-        action='store_true',
-        help="Write output text to stdout rather than serializing to a file."
-    )
-
-    args = parser.parse_args()
-
-    image_dims = [int(s) for s in args.images_dim.split(',')]
-
-    mean, channel_swap = None, None
-    if args.mean_file:
-        mean = np.load(args.mean_file)
-    if args.channel_swap:
-        channel_swap = [int(s) for s in args.channel_swap.split(',')]
-
-    # Make classifier.
-
-    classifier = caffe.Classifier(args.model_def, args.pretrained_model,
-                                  image_dims=image_dims, mean=mean,
-                                  input_scale=args.input_scale, raw_scale=args.raw_scale,
-                                  channel_swap=channel_swap)
-    # # Make classifier.
-    # classifier = caffe.Classifier(args.model_def, args.pretrained_model,
-    #                               image_dims=image_dims, gpu=args.gpu, mean=mean,
-    #                               input_scale=args.input_scale, raw_scale=args.raw_scale,
-    #                               channel_swap=channel_swap)
-
-    # if args.gpu:
-    #     print 'GPU mode'
-
-    # Load numpy array (.npy), directory glob (*.jpg), or image file.
-    args.input_file = os.path.expanduser(args.input_file)
-    if args.input_file.endswith('npy'):
-        inputs = np.load(args.input_file)
-    elif os.path.isdir(args.input_file):
-        inputs = [caffe.io.load_image(im_f)
-                  for im_f in glob.glob(args.input_file + '/*.' + args.ext)]
-    else:
-        inputs = [caffe.io.load_image(args.input_file)]
-
-    print "Classifying %d inputs." % len(inputs)
-
-    # Classify.
-    start = time.time()
-    scores = classifier.predict(inputs, not args.center_only).flatten()
-    print "Done in %.2f s." % (time.time() - start)
-
-    if args.print_results:
-        with open(args.labels_file) as f:
-            labels_df = pd.DataFrame([
-                {
-                    'synset_id': l.strip().split(' ')[0],
-                    'name': ' '.join(l.strip().split(' ')[1:]).split(',')[0]
-                }
-                for l in f.readlines()
-            ])
-        labels = labels_df.sort('synset_id')['name'].values
-
-        indices = (-scores).argsort()[:5]
-        predictions = labels[indices]
-
-        meta = [
-            (p, '%.5f' % scores[i])
-            for i, p in zip(indices, predictions)
-        ]
-
-        print meta
-
-    # Save
-    np.save(args.output_file, scores)
-
-if __name__ == '__main__':
-    main(sys.argv)