opencv3 与cuda8不兼容,不启动支持cuda 真的是历经千辛啊
安装依赖库 sudo apt-get install cmake git pkg-config libgtk2.0-dev libavcodec-dev libavformat-dev libswscale-dev sudo apt-get install python-dev python-openCV python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev build mkdir build cd build cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..cmake成功后,会出现如下结果,提示配置和生成成功: – Configuring done – Generating done 由于CUDA 8.0不支持OpenCV的 GraphCut 算法,可能出现以下错误:
~/opencv3.1.0/modules/cudalegacy/src/graphcuts.cpp:120:54: error: 'NppiGraphcutState' has not been declared typedef NppStatus (*init_func_t)(NppiSize oSize, NppiGraphcutState** ppStat ^ /home/usrname/opencv-3.1.0/modules/cudalegacy/src/graphcuts.cpp:135:18: error: 'NppiGraphcutState' does not name a type operator NppiGraphcutState*() ^【解决办法】进入opencv-3.1.0/modules/cudalegacy/src/目录,修改graphcuts.cpp文件,将:
#include "precomp.hpp" #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)改为
#include "precomp.hpp" #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)然后make编译就可以了
make -j8 sudo make installhttps://github.com/BVLC/caffe 下载caffe-master.zip
在 caffe-master/python,如果是python2运行
for req in $(cat requirements.txt); do sudo pip install $req; done如果是python3,则把pip改为pip3
for req in $(cat requirements.txt); do pip3 install $req; done下面是我用 diff Makefile.config Makefile.config.example 比较出来的结果
< USE_CUDNN := 1 --- > # USE_CUDNN := 1 11c11 < USE_OPENCV := 1 --- > # USE_OPENCV := 0 21c21 < OPENCV_VERSION := 3 --- > # OPENCV_VERSION := 3 69c69 < PYTHON_INCLUDE := $(ANACONDA_HOME)/include \ --- > # PYTHON_INCLUDE := $(ANACONDA_HOME)/include \ 74,76c74,76 < PYTHON_LIBRARIES := boost_python3 python3.5m < PYTHON_INCLUDE := /usr/include/python3.5m \ < /usr/lib/python3.5/dist-packages/numpy/core/include --- > # PYTHON_LIBRARIES := boost_python3 python3.5m > # PYTHON_INCLUDE := /usr/include/python3.5m \ > # /usr/lib/python3.5/dist-packages/numpy/core/include 90,91c90,91 < INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial < LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial --- > INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include > LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib --- make make all -j8 make test -j8 make runtest -j8runtest可能会遇到错误 libcudart.so.6.5: cannot open shared object file: No such file or directory. 执行以下操作
sudo cp /usr/local/cuda-8.0/lib64/libcudart.so.8.0 /usr/local/lib/libcudart.so.8.0 && sudo ldconfig sudo cp /usr/local/cuda-8.0/lib64/libcublas.so.8.0 /usr/local/lib/libcublas.so.8.0 && sudo ldconfig sudo cp /usr/local/cuda-8.0/lib64/libcurand.so.8.0 /usr/local/lib/libcurand.so.8.0 && sudo ldconfig sudo cp /usr/local/cuda-8.0/lib64/libcudnn.so.5 /usr/local/lib/libcudnn.so.5 && sudo ldconfig make pycaffe make pycaffe如果遇到错误 /usr/bin/ld: cannot find -lboost_python3
执行
cd /usr/lib/x86_64-linux-gnu/ sudo ln -s libboost_python-py35.so libboost_python3.sopython3.5的datautil/rrule.py里的raiseError有语法错误,要自己手动修改,把raiseError后面的语句用括号括起来
设置python caffe的路径
cd caffe-master/python pwd
sudo gedit ~/.bashrc 添加 export PYTHONPATH=/home/chuny/caffe-master/python:$PYTHONPATH 保存后 source ~/.bashrc
【注意】 编译一次caffe,只能支持python2或python3 安装python的时候,用sudo pip install是安装在根目录下,直接用pip安装的是在当前用户的home里面,其他用户用不了
安装caffe的时候 make all make test make runtest出现这样的问题 发现sudo make runtest就没有问题 而且python
import caffe caffe.set_mode_gpu() 也报错 unable to create cublas handle 改为 sudo python import caffe caffe.set_mode_gpu()就没问题 所以我全部重装,加sudo make clean sudo make all -j12 sudo make test -j12 sudo make runtest -j12 sudo make pycaffe -j12
