转：http://blog.csdn.net/brightming/article/details/51106629
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这篇文章可参考：http://www.cnblogs.com/cj695/p/4498270.html 下载caffe 拷贝Make.config.example Make.config 修改Make.config 取消注释cpu-only，注释掉cuda相关的 -----------------安装依赖的库------------------------ 参考docs/install_yum.md，执行： yum install protobuf-devel leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel 实际上，hdf5-devel这个安装会找不到。 但是：yum install gflags-devel glog-devel lmdb-devel这个不成功，找不到。只能手动安装： # glog wget https://google-glog.googlecode.com/files/glog-0.3.3.tar.gz tar zxvf glog-0.3.3.tar.gz cd glog-0.3.3 ./configure make && make install 连不上 google-glog.googlecode.com 从这里下载： http://download.csdn.net/download/chenguangxing3/6661667 安装glog。 ./configure --preifx=mypath make make install # gflags wget https://github.com/schuhschuh/gflags/archive/master.zip unzip master.zip cd gflags-master mkdir build && cd build export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1 make && make install cmake的时候，提示版本不够，需要2.8.12或以上，我的是2.8.11 升级cmake：https://cmake.org/files/v3.4/cmake-3.4.3.tar.gz ./bootstrap gmake gmake install 再次安装gflags成功。 # lmdb git clone https://github.com/LMDB/lmdb cd lmdb/libraries/liblmdb make && make install 安装成功。 安装atlas： yum install atlas 安装python 开发包： yum install python-devel 安装cython: http://cython.org/ 下载0.24版的 http://cython.org/release/Cython-0.24.zip 进入解压路径，python setup.py install 耗时3分钟左右。 安装numpy http://nbtelecom.dl.sourceforge.net/project/numpy/NumPy/1.8.0/numpy-1.8.0.zip 耗时3分钟左右。 ------------------------编译安装caffe-------------------------- 参考：http://caffe.berkeleyvision.org/installation.html中的Compilation with Make部分。 cp Makefile.config.example Makefile.config # Adjust Makefile.config (for example, if using Anaconda Python, or if cuDNN is desired) make all make test make runtest 修改： # 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/dist-packages/numpy/core/include 为：（因为我的arrayobject.h在另外lib64的路径下） PYTHON_INCLUDE := /usr/include/python2.7 \ /usr/lib64/python2.7/site-packages/numpy/core/include 修改：打开CPU_ONLY := 1,并注释掉：USE_CUDNN := 1。因为我的电脑没有gpu相关的东西。 其他的没改动。 报错： CXX src/caffe/blob.cpp In file included from ./include/caffe/blob.hpp:8:0, from src/caffe/blob.cpp:4: ./include/caffe/common.hpp:6:26: fatal error: glog/logging.h: No such file or directory #include <glog/logging.h> 因为没有装glog，所以再找办法装上先。 安装后继续编译，报错： CXX src/caffe/blob.cpp In file included from ./include/caffe/util/math_functions.hpp:11:0, from src/caffe/blob.cpp:7: ./include/caffe/util/mkl_alternate.hpp:11:19: fatal error: cblas.h: No such file or directory #include <cblas.h> 没有装cblas，参考：http://blog.csdn.net/cleverysm/article/details/1925549,http://www.linuxidc.com/Linux/2015-02/113169.htm http://www.netlib.org/blas/blast-forum/cblas.tgz 具体： 1. 编译blas，进入BLAS目录执行下面的命令 gfortran -c -O3 *.f # 编译所有的 .f 文件，生成 .o文件 ar rv libblas.a *.o # 链接所有的 .o文件，生成 .a 文件 2. 编译cblas，进入CBLAS目录，首先根据自己的操作系统平台，将某个Makefiel.XXX复制为Makefile.in，XXX表示操作系统。如果是Linux，那么就将Makefile.LINUX 复制为 Makefile.in。 cp ../BLAS/libblas.a testing # 将上一步编译成功的 libblas.a 复制到 CBLAS目录下的testing子目录 make # 编译所有的目录 此时会在CBLAS安装目录下的lib目录中产生一个静态链接库文件cblas_LINUX.a，这个库文件和上面得到的libblas.a文件就是我们所需要的。另外还需要的就是CBLAS/include中的cblas.h头文件。将三个文件全部拷贝到，你需调用的应用程序源码目录中。 拷贝到路径下： cp include/cblas.h /usr/include/ cp lib/cblas_LINUX.a /usr/local/libcblas.a cp testing/libblas.a /usr/local/lib 再次编译，报错： src/caffe/layers/hdf5_data_layer.cpp:13:18: fatal error: hdf5.h: No such file or directory #include "hdf5.h" 记得上面已经安装了hdf5-devel，怎么会出这个错？查看一下，发现yum这个没找到hdf5-devel，所以也就没有安装。 在docs/installion.md中，建议：but we suggest first installing the [Anaconda](https://store.continuum.io/cshop/anaconda/) Python distribution, which provides most of the necessary packages, as well as the `hdf5` library dependency. 准备安装hdf5: http://www.hdfgroup.org/ftp/HDF5/current/src/hdf5-1.8.16.tar 解压后： ./configure --prefix=/usr/local/hdf5-1.8.3 ##指定安装路径，否则会默认安装到当前路径下。 make ##4分钟左右 make install 此时，在Makefile.config中增加HDF5_DIRS的路径到搜索路径下： HDF5_DIRS :=/usr/local/hdf5-1.8.3/ # Whatever else you find you need goes here. INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include $(HDF5_DIRS)/include LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib $(HDF5_DIRS)/lib 再次编译，报错： In file included from src/caffe/util/db.cpp:2:0: ./include/caffe/util/db_leveldb.hpp:7:24: fatal error: leveldb/db.h: No such file or directory #include "leveldb/db.h" ^ compilation terminated. 缺少了google的kv数据库：leveldb，这个在installation.md中的Optional dependencies也提到了。 从这里下载：https://github.com/google/leveldb 参考：https://techoverflow.net/blog/2012/12/14/compiling-installing-leveldb-on-linux/ 解压后，make 因为没有不支持install，所以，要手工将这些include和生成的lib拷贝到需要的地方。 cp --preserve=links out-shared/libleveldb.so* /usr/local/lib #只拷贝了动态库。 cp -r include/leveldb/ /usr/local/include/ 再次编译，报错： CXX src/caffe/util/upgrade_proto.cpp AR -o .build_release/lib/libcaffe.a LD -o .build_release/lib/libcaffe.so.1.0.0-rc3 /usr/bin/ld: cannot find -lcblas /usr/bin/ld: cannot find -latlas collect2: error: ld returned 1 exit status make: *** [.build_release/lib/libcaffe.so.1.0.0-rc3] Error 1 静态库的链接已经完成了，这个动态库缺少了东西。上面安装cblas的时候，发现确实是只产生了静态库，需要增加动态库。 进入到CBLAS目录下，将静态库转为动态库： gcc -shared lib/cblas_LINUX.a testing/libblas.a -o libcblas.so cp libcblas.so /usr/local/ 再次编译，报错： CXX src/caffe/util/upgrade_proto.cpp AR -o .build_release/lib/libcaffe.a LD -o .build_release/lib/libcaffe.so.1.0.0-rc3 /usr/bin/ld: cannot find -lcblas /usr/bin/ld: cannot find -latlas collect2: error: ld returned 1 exit status mv /usr/local/libcblas.* /usr/local/lib/ #就是把它们转移到 /usr/local/lib下，否则还会报错 再次编译，报错： LD -o .build_release/lib/libcaffe.so.1.0.0-rc3 /usr/bin/ld: cannot find -latlas collect2: error: ld returned 1 exit status make: *** [.build_release/lib/libcaffe.so.1.0.0-rc3] Error 1 之前有安装 yum install atlas 查看： [root@localhost caffe-master]# ll /usr/lib64/atlas/ total 21304 lrwxrwxrwx. 1 root root 17 Apr 8 15:54 libsatlas.so.3 -> libsatlas.so.3.10 -rwxr-xr-x. 1 root root 10852104 Nov 20 13:43 libsatlas.so.3.10 lrwxrwxrwx. 1 root root 17 Apr 8 15:54 libtatlas.so.3 -> libtatlas.so.3.10 -rwxr-xr-x. 1 root root 10959464 Nov 20 13:43 libtatlas.so.3.10 再安装yum install atlas-devel，查看： [root@localhost caffe-master]# ll /usr/lib64/atlas/ total 21304 lrwxrwxrwx. 1 root root 17 Apr 9 14:03 libsatlas.so -> libsatlas.so.3.10 lrwxrwxrwx. 1 root root 17 Apr 8 15:54 libsatlas.so.3 -> libsatlas.so.3.10 -rwxr-xr-x. 1 root root 10852104 Nov 20 13:43 libsatlas.so.3.10 lrwxrwxrwx. 1 root root 17 Apr 9 14:03 libtatlas.so -> libtatlas.so.3.10 lrwxrwxrwx. 1 root root 17 Apr 8 15:54 libtatlas.so.3 -> libtatlas.so.3.10 -rwxr-xr-x. 1 root root 10959464 Nov 20 13:43 libtatlas.so.3.10 参考：http://blog.sina.com.cn/s/blog_4c4668bb01013gsv.html 发现里面有说到： 在 3.10.0 的 ATLAS 中没有了 --with-netlib-lapack指定lapack_LINUX.a 只需要 --with-netlib-lapack-tarfile,给出下载的包就行，不需要自己在去编译 LAPACK了。但是最后生成的 库文件也给整合了，不是上面的6个，而是两个 libsatals.so libtatlas.so, 去 BUILD/lib 里面查看 Makefile， 可以看到确实被整合了的。为了依其上的软件能更通用，又不想自己去改Makefile的内容，就用老版本的组合了。 于是，我建立一个软链接： ln -s /usr/lib64/atlas/libsatlas.so /usr/lib64/libatlas.so （如果我建立在atlas下，即ln -s /usr/lib64/atlas/libsatlas.so /usr/lib64/atlas/libatlas.so 还是找不到，就把它提到外面来了） 再次编译，这次ok了。 [root@localhost caffe-master]# make all LD -o .build_release/lib/libcaffe.so.1.0.0-rc3 CXX tools/caffe.cpp CXX/LD -o .build_release/tools/caffe.bin CXX tools/compute_image_mean.cpp CXX/LD -o .build_release/tools/compute_image_mean.bin CXX tools/convert_imageset.cpp CXX/LD -o .build_release/tools/convert_imageset.bin CXX tools/device_query.cpp CXX/LD -o .build_release/tools/device_query.bin CXX tools/extract_features.cpp CXX/LD -o .build_release/tools/extract_features.bin CXX tools/finetune_net.cpp CXX/LD -o .build_release/tools/finetune_net.bin CXX tools/net_speed_benchmark.cpp CXX/LD -o .build_release/tools/net_speed_benchmark.bin CXX tools/test_net.cpp CXX/LD -o .build_release/tools/test_net.bin CXX tools/train_net.cpp CXX/LD -o .build_release/tools/train_net.bin CXX tools/upgrade_net_proto_binary.cpp CXX/LD -o .build_release/tools/upgrade_net_proto_binary.bin CXX tools/upgrade_net_proto_text.cpp CXX/LD -o .build_release/tools/upgrade_net_proto_text.bin CXX tools/upgrade_solver_proto_text.cpp CXX/LD -o .build_release/tools/upgrade_solver_proto_text.bin CXX examples/cifar10/convert_cifar_data.cpp CXX/LD -o .build_release/examples/cifar10/convert_cifar_data.bin CXX examples/cpp_classification/classification.cpp CXX/LD -o .build_release/examples/cpp_classification/classification.bin CXX examples/mnist/convert_mnist_data.cpp CXX/LD -o .build_release/examples/mnist/convert_mnist_data.bin CXX examples/siamese/convert_mnist_siamese_data.cpp CXX/LD -o .build_release/examples/siamese/convert_mnist_siamese_data.bin [root@localhost caffe-master]# 接着是make test,没有问题，花费5分钟左右。 接着：make runtest，报错： [root@localhost caffe-master]# make runtest .build_release/tools/caffe .build_release/tools/caffe: error while loading shared libraries: libglog.so.0: cannot open shared object file: No such file or directory make: *** [runtest] Error 127 但是在/usr/local/lib下有阿？ [root@localhost glog-0.3.3]# ll /usr/local/lib total 5532 drwxr-xr-x. 3 root root 19 Apr 8 16:32 cmake -rwxr-xr-x. 1 root root 130336 Mar 25 10:59 default.sfx -rw-r--r--. 1 root root 792216 Apr 8 17:17 libblas.a -rw-r--r--. 1 root root 387232 Apr 8 17:16 libcblas.a -rwxr-xr-x. 1 root root 7691 Apr 9 11:39 libcblas.so -rw-r--r--. 1 root root 628106 Apr 8 16:31 libgflags.a -rw-r--r--. 1 root root 627712 Apr 8 16:31 libgflags_nothreads.a -rw-r--r--. 1 root root 352318 Apr 8 16:59 libglog.a -rwxr-xr-x. 1 root root 958 Apr 8 16:59 libglog.la lrwxrwxrwx. 1 root root 16 Apr 8 16:59 libglog.so -> libglog.so.0.0.0 lrwxrwxrwx. 1 root root 16 Apr 8 16:59 libglog.so.0 -> libglog.so.0.0.0 -rwxr-xr-x. 1 root root 524192 Apr 8 16:59 libglog.so.0.0.0 -rwxr-xr-x. 3 root root 413462 Apr 9 11:26 libleveldb.so -rwxr-xr-x. 3 root root 413462 Apr 9 11:26 libleveldb.so.1 -rwxr-xr-x. 3 root root 413462 Apr 9 11:26 libleveldb.so.1.18 -rw-r--r--. 1 root root 644748 Apr 8 16:33 liblmdb.a -rwxr-xr-x. 1 root root 304783 Apr 8 16:33 liblmdb.so drwxr-xr-x. 2 root root 23 Apr 8 16:59 pkgconfig 临时解决方法： export LD_LIBRARY_PATH=/usr/local/lib/ 继续make runtest,报错： [root@localhost caffe-master]# make runtest .build_release/tools/caffe .build_release/tools/caffe: error while loading shared libraries: libhdf5_hl.so.10: cannot open shared object file: No such file or directory make: *** [runtest] Error 127 再来：export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/hdf5-1.8.3/lib 这次ok了： [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (1 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (2 ms) [----------] 48 tests from NeuronLayerTest/0 (175 ms total) [----------] Global test environment tear-down [==========] 1050 tests from 146 test cases ran. (34229 ms total) [ PASSED ] 1050 tests. 但这个不是好的解决方法，我得永久修改这个链接路径才行。 方法： 查看 /etc/ld.so.conf 发现引用/etc/ld.so.conf.d/下的所有conf结尾的文件，进入里面 可以看到那个atlas的内容就一句话，指明了lib的路径：/usr/lib64/atlas 新建一个conf文件：/etc/ld.so.conf.d/glog.conf，里面写：/usr/local/lib 再新建一个conf文件：/etc/ld.so.conf.d/hdf5.conf，里面写：/usr/local/hdf5-1.8.3/lib 最后执行： /sbin/ldconfig -v 这样，就不用再去搞那个LD_LIBRARY_PATH了。 重新执行一次完整流程： make clean make all #3分钟 make test #4分钟 make runtest #1分钟 make pycaffe #40秒 编译python的包： [root@localhost caffe-master]# make pycaffe CXX/LD -o python/caffe/_caffe.so python/caffe/_caffe.cpp touch python/caffe/proto/__init__.py PROTOC (python) src/caffe/proto/caffe.proto [root@localhost caffe-master]# 编译好了python包后，要把这个模块加入到python的路径下：（参考安装说明：http://caffe.berkeleyvision.org/installation.html python部分） export PYTHONPATH=/home/zzz/OpenSource/caffe-master/python:$PYTHONPATH 编辑/etc/profile，增加： export PYTHONPATH=$PYTHONPATH:/home/zzz/OpenSource/caffe-master/python/ 然后打开python，导入caffe: [root@localhost caffe-master]# python Python 2.7.5 (default, Nov 20 2015, 02:00:19) [GCC 4.8.5 20150623 (Red Hat 4.8.5-4)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import caffe /home/zzz/OpenSource/caffe-master/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Net<float> > already registered; second conversion method ignored. from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \ /home/zzz/OpenSource/caffe-master/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Blob<float> > already registered; second conversion method ignored. from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \ /home/zzz/OpenSource/caffe-master/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Solver<float> > already registered; second conversion method ignored. from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \ Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/zzz/OpenSource/caffe-master/python/caffe/__init__.py", line 1, in <module> from .pycaffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, AdaDeltaSolver, AdamSolver File "/home/zzz/OpenSource/caffe-master/python/caffe/pycaffe.py", line 15, in <module> import caffe.io File "/home/zzz/OpenSource/caffe-master/python/caffe/io.py", line 2, in <module> import skimage.io ImportError: No module named skimage.io >>> 报错缺少 skimage.io 下载：https://pypi.python.org/packages/source/s/scikit-image/scikit-image-0.12.3.tar.gz#md5=04ea833383e0b6ad5f65da21292c25e1 解压，进入, python setup.py install 不成功，提示： te-packages Adding scikit-image 0.12.3 to easy-install.pth file Installing skivi script to /usr/bin Installed /usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg Processing dependencies for scikit-image==0.12.3 Searching for dask[array]>=0.5.0 Reading https://pypi.python.org/simple/dask/ Best match: dask 0.8.1.macosx-10.5-x86-64 Downloading https://pypi.python.org/packages/any/d/dask/dask-0.8.1.macosx-10.5-x86_64.tar.gz#md5=6271cc3687493136a6b743dc5271ab80 Processing dask-0.8.1.macosx-10.5-x86_64.tar.gz error: Couldn't find a setup script in /tmp/easy_install-h26472/dask-0.8.1.macosx-10.5-x86_64.tar.gz [root@localhost scikit-image-0.12.3]# python 在python里，import skimage.io会报： >>> import skimage.io Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg/skimage/io/__init__.py", line 7, in <module> from .manage_plugins import * File "/usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg/skimage/io/manage_plugins.py", line 28, in <module> from .collection import imread_collection_wrapper File "/usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg/skimage/io/collection.py", line 12, in <module> from PIL import Image ImportError: No module named PIL （ 原来用easy_install 这么方便！这个easy_install 我的系统有。 easy_install Image 会自动搜索依赖。 File "/usr/lib64/python2.7/distutils/command/build_ext.py", line 339, in run self.build_extensions() File "setup.py", line 512, in build_extensions ValueError: jpeg is required unless explicitly disabled using --disable-jpeg, aborting 没有安装成功。 ） 下载： http://effbot.org/media/downloads/Imaging-1.1.7.tar.gz 解压后，进入目录，执行： python setup.py install 成功： running install_scripts copying build/scripts-2.7/pilconvert.py -> /usr/bin copying build/scripts-2.7/pildriver.py -> /usr/bin copying build/scripts-2.7/pilfile.py -> /usr/bin copying build/scripts-2.7/pilfont.py -> /usr/bin copying build/scripts-2.7/pilprint.py -> /usr/bin changing mode of /usr/bin/pilconvert.py to 755 changing mode of /usr/bin/pildriver.py to 755 changing mode of /usr/bin/pilfile.py to 755 changing mode of /usr/bin/pilfont.py to 755 changing mode of /usr/bin/pilprint.py to 755 running install_egg_info Writing /usr/lib64/python2.7/site-packages/PIL/PIL-1.1.7-py2.7.egg-info creating /usr/lib64/python2.7/site-packages/PIL.pth [root@localhost Imaging-1.1.7]# 再次 >>> import skimage.io Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg/skimage/io/__init__.py", line 11, in <module> from ._io import * File "/usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg/skimage/io/_io.py", line 7, in <module> from ..color import rgb2grey File "/usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg/skimage/color/__init__.py", line 1, in <module> from .colorconv import (convert_colorspace, File "/usr/lib64/python2.7/site-packages/scikit_image-0.12.3-py2.7-linux-x86_64.egg/skimage/color/colorconv.py", line 58, in <module> from scipy import linalg ImportError: No module named scipy 安装： [root@localhost Downloads]# easy_install scipy Searching for scipy Reading https://pypi.python.org/simple/scipy/ Best match: scipy 0.17.0 Downloading https://pypi.python.org/packages/source/s/scipy/scipy-0.17.0.zip#md5=28a4fe29e980804db162524f10873211 Processing scipy-0.17.0.zip Writing /tmp/easy_install-YgsnC3/scipy-0.17.0/setup.cfg Running scipy-0.17.0/setup.py -q bdist_egg --dist-dir /tmp/easy_install-YgsnC3/scipy-0.17.0/egg-dist-tmp-wyWVj4 /usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:1428: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. warnings.warn(AtlasNotFoundError.__doc__) /usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:1439: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. warnings.warn(LapackNotFoundError.__doc__) /usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:1442: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. warnings.warn(LapackSrcNotFoundError.__doc__) Running from scipy source directory. error: no lapack/blas resources found [root@localhost Downloads]# 失败！ 从网上下载源码：http://ufpr.dl.sourceforge.net/project/scipy/scipy/0.16.1/scipy-0.16.1.tar.gz python setup.py install 同样报错： File "/usr/lib64/python2.7/site-packages/numpy/distutils/misc_util.py", line 935, in get_subpackage caller_level = caller_level + 1) File "/usr/lib64/python2.7/site-packages/numpy/distutils/misc_util.py", line 872, in _get_configuration_from_setup_py config = setup_module.configuration(*args) File "scipy/linalg/setup.py", line 20, in configuration raise NotFoundError('no lapack/blas resources found') numpy.distutils.system_info.NotFoundError: no lapack/blas resources found [root@localhost scipy-0.16.1]# 看来要先解决这两个问题。 反复折腾都没有搞定。。。。 参考：http://blog.sina.com.cn/s/blog_62dfdc740101aoo6.html 重新编译atlas。 16:33~16:39 在等待过程，重新看numpy： cp site.conf.example site.conf 将site.conf编辑为： [DEFAULT] library_dirs = /usr/local/lib include_dirs = /usr/local/include src_dirs = /home/gumh/Downloads/BLAS-3.6.0:/home/gumh/Downloads/lapack-3.1.1 [blas_opt] libraries =f77blas,cblas,atlas [lapack_opt] libraries=lapack,f77blas,cblas,atlas [atlas] library_dirs = /usr/lib64/atlas/ include_dirs = /usr/include/atlas [amd] amd_libs = amd # [umfpack] umfpack_libs = umfpack [fftw] libraries = fftw3 然后执行：python setup.py build --fcompiler=gnu95 执行下去了，可以看到中间有在对上面设定的src路径下的代码进行编译。 然后python setup.py install 按照这个site.conf来去build scipy-0.16.1，失败。 重新下载scipy-0.11.0 。https://pypi.python.org/packages/source/s/scipy/scipy-0.11.0.tar.gz#md5=842c81d35fd63579c41a8ca21a2419b9 解压，啥都没改u，阅读了那个INSTALL.txt： python setup.py install 直接就运行了，中间看到有在编译那个lapack-3.1.1的文件，我在这里并没有指定，应该是上面numpy中指定的被保存起来了。 后面还是挂了： /usr/bin/gfortran -Wall -Wall -shared build/temp.linux-x86_64-2.7/scipy/integrate/_odepackmodule.o -L/usr/local/lib -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lodepack -llinpack_lite -lmach -lblas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/_odepack.so /usr/bin/ld: /usr/local/lib/libblas.a(dcopy.o): relocation R_X86_64_PC32 against undefined symbol `memcpy@@GLIBC_2.14' can not be used when making a shared object; recompile with -fPIC /usr/bin/ld: final link failed: Bad value collect2: error: ld returned 1 exit status /usr/bin/ld: /usr/local/lib/libblas.a(dcopy.o): relocation R_X86_64_PC32 against undefined symbol `memcpy@@GLIBC_2.14' can not be used when making a shared object; recompile with -fPIC /usr/bin/ld: final link failed: Bad value collect2: error: ld returned 1 exit status error: Command "/usr/bin/gfortran -Wall -Wall -shared build/temp.linux-x86_64-2.7/scipy/integrate/_odepackmodule.o -L/usr/local/lib -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lodepack -llinpack_lite -lmach -lblas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/_odepack.so" failed with exit status 1 [root@localhost scipy-0.11.0]# 意思是/usr/local/lib/libblas.a这个是静态库，不能用于pic的动态链接。 那我就要编译一个动态库出来。 于是重新进入 gfortran -c -O3 -fPIC *.f #加上了-fPIC gcc -shared *.o -fPIC -o libblas.so cp libblas.so /usr/local/lib/ 再次执行 python setup.py install： 这次完成了： /fftpack/tests/ copying scipy/fftpack/tests/fftw_single_ref.npz -> /usr/lib64/python2.7/site-packages/scipy/fftpack/tests/ copying scipy/fftpack/tests/gen_fftw_ref.py -> /usr/lib64/python2.7/site-packages/scipy/fftpack/tests/ creating /usr/lib64/python2.7/site-packages/scipy/weave/doc copying scipy/weave/doc/tutorial.txt -> /usr/lib64/python2.7/site-packages/scipy/weave/doc/ copying scipy/weave/doc/tutorial_original.html -> /usr/lib64/python2.7/site-packages/scipy/weave/doc/ running install_egg_info Writing /usr/lib64/python2.7/site-packages/scipy-0.11.0-py2.7.egg-info running install_clib [root@localhost scipy-0.11.0]# [root@localhost Downloads]# python Python 2.7.5 (default, Nov 20 2015, 02:00:19) [GCC 4.8.5 20150623 (Red Hat 4.8.5-4)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import scipy >>> ok，安装完成！ 回到我们的上一层问题:import skimage.io出错，现在再来： >>> import skimage.io >>> ok! 继续回到上一层问题：import caffe： >>> import caffe 4.egg/skimage/_shared/_geometry.py", line 4, in <module> from matplotlib import _path, path, transforms ImportError: No module named matplotlib 还有问题，缺少matplotlib： 用easy_install matplotlib的方式安装。 太慢。 直接下载:https://pypi.python.org/packages/source/m/matplotlib/matplotlib-1.5.1.tar.gz#md5=f51847d8692cb63df64cd0bd0304fd20 解压，进入，执行： python setup.py build 提示缺少必须的依赖： * The following required packages can not be built: * freetype, png 解决： yum install freetype-devel 下载libpng源码：http://tenet.dl.sourceforge.net/project/libpng/libpng14/older-releases/1.4.14/libpng-1.4.14.tar.gz 解压，进入，执行： ./configure make make check make install 可以看到，安装信息： make[2]: Leaving directory `/home/zzz/Downloads/libpng-1.4.14' /usr/bin/mkdir -p '/usr/local/share/man/man3' /usr/bin/install -c -m 644 libpng.3 libpngpf.3 '/usr/local/share/man/man3' /usr/bin/mkdir -p '/usr/local/share/man/man5' /usr/bin/install -c -m 644 png.5 '/usr/local/share/man/man5' /usr/bin/mkdir -p '/usr/local/lib/pkgconfig' /usr/bin/install -c -m 644 libpng14.pc '/usr/local/lib/pkgconfig' /usr/bin/mkdir -p '/usr/local/include/libpng14' /usr/bin/install -c -m 644 png.h pngconf.h '/usr/local/include/libpng14' make install-data-hook make[2]: Entering directory `/home/zzz/Downloads/libpng-1.4.14' cd /usr/local/include; rm -f png.h pngconf.h cd /usr/local/include; ln -s libpng14/png.h png.h cd /usr/local/include; ln -s libpng14/pngconf.h \ pngconf.h cd /usr/local/lib/pkgconfig; rm -f libpng.pc cd /usr/local/lib/pkgconfig; ln -s libpng14.pc libpng.pc make[2]: Leaving directory `/home/zzz/Downloads/libpng-1.4.14' make[1]: Leaving directory `/home/zzz/Downloads/libpng-1.4.14' [root@localhost libpng-1.4.14]# 再次执行matplotlib的编译： python setup.py build 成功。 python setup.py install 成功。 继续import caffe,出错： ImportError: No module named google.protobuf.internal 参考：http://blog.csdn.net/littlestream9527/article/details/38734871 从网盘下载 ：http://pan.baidu.com/s/1pJlZubT 解压，进入，执行： ./configure make make install ldconfig 然后进入源码目录的python子目录： cd python 执行： python setup.py build python setup.py install 执行完后，再次的导入caffe模块： [root@localhost Downloads]# python Python 2.7.5 (default, Nov 20 2015, 02:00:19) [GCC 4.8.5 20150623 (Red Hat 4.8.5-4)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import caffe /home/gumh/OpenSource/caffe-master/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Net<float> > already registered; second conversion method ignored. from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \ /home/gumh/OpenSource/caffe-master/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Blob<float> > already registered; second conversion method ignored. from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \ /home/gumh/OpenSource/caffe-master/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Solver<float> > already registered; second conversion method ignored. from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \ >>> 成功了。