在上一篇Caffe配置與編譯-----OpenCV-3.4.1配置及編譯完成了OpenCV的配置，避免在Caffe調用OpenCV時出現無法導入OpenCV的問題，本篇將進一步介紹如何配置Caffe最終能夠順利在python中導入Caffe
硬件環境：
Ubuntu GPU ： CUDA9.0
Python：python 3.5
配置過程：
1、創建虛擬環境並激活：
vituralenv --python=python3.5 caffe3
2、安裝依賴：
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev
sudo apt-get install libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev
sudo apt-get install libopenblas-dev liblapack-dev libatlas-base-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev libgdal-dev
3、 下載Caffe包：
git clone https://github.com/BVLC/caffe.git
4、更改Makefile.config配置
sudo cp Makefile.config.example Makefile.config
sudo gedit Makefile.config
更改內容如下：
lin4 # cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1
line 22 # Uncomment if you're using OpenCV 3
OPENCV_VERSION := 3
line 35 # CUDA architecture setting: going with all of them.
# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
# For CUDA >= 9.0, comment the *_20 and *_21 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_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
line 81
PYTHON_LIBRARIES := boost_python3 python3.5m
PYTHON_INCLUDE := /usr/include/python3.5m \
/usr/lib/python3.5/dist-packages/numpy/core/include
line 96
# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/include/hdf5/serial /usr/local/include /usr/lib
5、配置Makefile文件：
line 181
LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial
line 196
# This code is taken from https://github.com/sh1r0/caffe-android-lib
ifeq ($(USE_HDF5), 1)
LIBRARIES += hdf5_serial_hl hdf5_serial
endif
line 208
PYTHON_LIBRARIES ?= boost_python3 python3.5m
6、編譯環境：
make all -j8
make pycaffe
make test -j8
sudo make runtest -j8 #optional
7、添加Caffe路徑：
sudo gedit ~/.bashrc
#add following path to PYTHONPATH at last
export PYTHONPATH=/path/to/caffe/python:$PYTHONPATH
source ~/.bashrc
8、 測試是否安裝成功：
注：安裝過程中的主要問題都在Makefile.config和Makefile文件的編譯有問題，每次重新編譯時，需要make clean一下。