Deep Learning: Caffe installation ubuntu 12.04

This is a concise, concrete, and step-wise instruction for installing caffe in ubuntu 12.04 (guided by the instructions given the caffe authors).

Followings are the prerequisite libraries. Carefully install it all.

• atlas:
• sudo apt-get install libatlas-base-dev
• installs into "/usr/include/atlast"
  
• boost:
• sudo apt-get install libboost-all-dev
• installs into  "/usr/include/boost"
• OpenCV:
• sudo apt-get install libopencv-dev
•  hd5:
• sudo apt-get install libhdf5-serial-dev
• install into "/usr/lib/"
• Addtionally, if python pip is not installed install it using aptitude.

• anaconda:
• Download and follow instruction.
• Download link 
• bash Anaconda-2.1.0-Linux-x86_64.sh
• mdb:
• download the mdb from github
• cd mdb-mdb/libraries/liblmdb
• make
• sudo make install

• google-log:
• wget https://google-glog.googlecode.com/files/glog-0.3.3.tar.gz
• cd glog-0.3.3
• ./configure
• make
• sudo make install

• gflags:
• wget https://github.com/schuhschuh/gflags/archive/master.zip
• cd gflags-master/
• mkdir build && cd build
• export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1
• make
• sudo make install

• numpy:
• aptitude search numpy
• sudo aptitude install python-numpy
• install into " /usr/include/numpy"

 All the pre-requisites are installed, now we can proceed to install the caffe.

• download the caffe
• go into the caffe-master
• copy and rename the Makefile.config
• do the following change into the Makefile.config
• # CPU-only switch (uncomment to build without GPU support).
  CPU_ONLY := 1
• # MATLAB directory should contain the mex binary in /bin. MATLAB_DIR := /usr/local
• PYTHON_INCLUDE := /usr/include/python2.7 \
          /usr/lib/python2.7/dist-packages/numpy/core/include
• make all
• make test
• make runtest

Try out the pre-trained ImageNet model to test the caffe using python in the following reference.

 Expected issues:

• append the PYTHONPATH into your ~/.bashrc file with. The following two instruction will do it for you.
• make python
• make distribute

• anaconda GLIB issue:
• Error: ImportError:  `GLIBC_2.15' not found caffe
• Solution: delete the 'libm.so and libm.so.6' from ~/anaconda/lib/

• protobuf issue:
• Error: caffe ImportError: No module named google.protobuf caffe
• Solution:
• find the path where the google-protobuf is installed. for example if it install into "/usr/lib/python2.7/dist-packages/" then do the following into your script.
• import sys
  sys.path.append("/usr/lib/python2.7/dist-packages/")

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