Caffe CPU version Linux configuration command and build

Caffee installation Process

1. Installing dependent Packages

$ sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev 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

2. Installing Caffe

$ git clone git://github.com/BVLC/caffe.git

3. Compiling Caffe

$ cd caffe$ cp Makefile.config.example Makefile.config (复制一份Makefile.config文件)

In the Makefile.config file, the cpu_only: = 1 Comment is removed, is to remove the previous # number

Next, execute the following command under the Caffe root directory

$ make all

After this command, I encountered an error message,

./include/caffe/util/hdf5.hpp:6:18: fatal error: hdf5.h: No such file or directory

This is caused by the HDF5 path problem, you can obtain the path of HDF5 by the following command,

The path I found for the hdf5.h is:/usr/include/hdf5/serial/hdf5.h, so in the Makefile.config file, change the file to the following:

Again to execute the above command, continue to error, this time is/usr/bin/ld:cannot Find-lhdf5 then with the above one processing to find the libhdf5.so configuration file instead:

Library_dirs: = $ (python_lib)/usr/lib/x86_64-linux-gnu/hdf5/serial
? /usr/local/lib/usr/lib

Include_dirs: = $ (python_include)/usr/include/hdf5/serial
? /usr/local/include

/usr/bin/ld:cannot Find-lcblas/usr/bin/ld:cannot Find-latlas

Solve

sudo apt-get install libatlas-base-dev

Then execute the following command:

make test

At last

$ make runtest

4. Compiling the Python interface

Install PIP

$ sudo apt-get install python-pip

Performing the installation depends on the manifest installation listed in Requirements.txt in the Caffe/python directory. The Fortran compiler (GFORTRAN) makes an error in order to install scipy.

cd ~/caffesudo apt-get install gfortrancd ./pythonfor req in $(cat requirements.txt); do pip install $req; done

Back to Caffe root directory

sudo pip install -r python/requirements.txt

Compiling the Pycaffe interface

make pycaffe -j81

Error at this time

python/caffe/_caffe.cpp:10:31: fatal error: numpy/arrayobject.h: 没有那个文件或目录12

Then, enter the following command to

sudo apt-get install python-numpy

import syssys.path.append("/（你的caffe路径）/caffe/python")sys.path.append("/（你的caffe路径）/caffe/python/caffe")

PS: Permanently add python path:

cd /usr/lib/python2.7/dist-packages sudo echo mycaffe.pth    #建立一个mycaffe.pth文件sudo gedit mycaffe.pth   #编辑文件

Start Python2 Import Caffe

Error: Importerror:no module named Skimage.io

Solve:

sudo apt-get install python-skimage

Error: Importerror:no module named google.protobuf.internal

conda install protobuf

There is still no solution:

Then look for:

sudo apt-get install python-protobuf

It worked!

Next start the test:

Mnist Data Set Acquisition:

sudo sh ./data/mnist/get_mnist.shsudo sh ./examples/mnist/create_mnist.sh

2. Modify the configuration

Modify the Prototxt extension profile modification under this directory./examples/mnist/lenet_solver.prototxt navigates to the last line: Solver_mode:gpu, changes the GPU to CPU. Testing with the CPU

3. Run the Execute File command:

sudo sh ./examples/mnist/train_lenet.sh

Error:./train_lenet.sh:4:./train_lenet.sh:./build/tools/caffe:not found

Re-compiling

sudo make all

Display: Nothing-to-be-do for all

The final trained model is stored as a binary protobuf file:./examples/mnist/lenet_iter_10000.caffemodel

This model can be used to directly use the

Suddenly you can use the ...

Re-execute

sudo sh ./examples/mnist/train_lenet.sh

It's best to add time to see how long it takes

Happy, fortunately, the CPU version, 1.1 points to solve the problem

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Caffe CPU version Linux configuration command and build