在JetsonTX2上安装caffe和PyCaffe

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev \
                       libhdf5-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
sudo apt-get install libatlas-base-dev libopenblas-dev

cd ~
git clone https://github.com/BVLC/caffe
cd caffe
cp Makefile.config.example Makefile.config

cp ~/Download/Makefile.config /home/nvidia/caffe

find . -type f -exec sed -i -e 's^"hdf5.h"^"hdf5/serial/hdf5.h"^g' -e 's^"hdf5_hl.h"^"hdf5/serial/hdf5_hl.h"^g' '{}' \;
cd /usr/lib/aarch64-linux-gnu
sudo ln -s libhdf5_serial.so.10.1.0 libhdf5.so
sudo ln -s libhdf5_serial_hl.so.10.0.2 libhdf5_hl.so

cd /home/nvidia/caffe    // caffe所在目录
make all -j4  //j4代表计算机cpu有4个核，因此可以多线程一起make，这样make的速度会快很多。TX2是4核的，我们就不要学别人用什么j8，j16了，乖乖地敲j4
make test -j4
make runtest -j4

mkdir -p ~/src
cd ~/src
wget https://pypi.python.org/packages/03/98/1521e7274cfbcc678e9640e242a62cbcd18743f9c5761179da165c940eac/leveldb-0.20.tar.gz
tar xzvf leveldb-0.20.tar.gz
cd leveldb-0.20
python3 setup.py build
sudo python3 setup.py install

pkgs=`sed 's/[>=<].*$//' ~/caffe/python/requirements.txt`
for pkg in $pkgs; do sudo pip3 install $pkg; done
### build pycaffe
cd ~/caffe
make pycaffe
make distribute

export PYTHOnPATH=/home/nvidia/caffe/python：$PYTHONPATH

python3
>>> import numpy as np
>>> import caffe

cd ~/caffe
./build/tools/caffe time --gpu 0 --model ./models/bvlc_alexnet/deploy.prototxt