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# Instructions to install the DCT code
#
# Prerequisites:
# - python (version >= 2.6) www.python.org
# - git (version >= 1.6) www.git-scm.com
# - g++ (version >= 4.4) www.gcc.gnu.org
# - matlab (version >= 2012) www.mathworks.com
# - astra (version >= 1.0) www.code.google.com/p/astra-toolbox
# - cuda (version >= 4.0) www.nvidia.com/object/cuda_home_new.html
1. Download the DCT install bundle from http://sourceforge.net/projects/dct/
2. Extract the zip in a temporary directory (here it is /tmp)
user1@host1 ~/Downloads $ ls
dct-install.zip
user@host1 ~/Downloads $ unzip dct-install.zip -d /tmp
Archive: dct-install.zip
extracting: dct-install/dct_compile_matlab_functions.py
extracting: dct-install/dct_compile_mex_functions.py
extracting: dct-install/dct_io_xml.py
extracting: dct-install/dct_utils_git.py
extracting: dct-install/dct_utils_platform.py
extracting: dct-install/dct_setup.py
user1@host1 ~/Downloads $ cd /tmp/dct-install
user1@host1 /tmp/dct-install $ ls
dct_compile_matlab_functions.py dct_setup.py
dct_compile_mex_functions.py dct_utils_git.py
dct_io_xml.py dct_utils_platform.py
dct_matlab_invocation.py
3. Then, run the python script to print help to install the code
(need python >= 2.6)
user1@host1 /tmp/dct-install $ python dct_setup.py -h
Installs DCT for both users and developers
Options:
-h | --help : to show this help
-v | --verbose : to show more detailed output
-b <branch_name> : to select a specific branch from the listed here:
master
stable_1.0
-d <dir_name> : to specify directory name, where dct will be
-u <user_name> : selects developer mode and specifies the developer sf_username
-m <matlab_version> : selects the matlab version to be used
-mp <matlab_dir> : selects the path to matlab
4. Now you can run the installation with your personal settings. As a user,
you don't need to specify a user name (only for developers). So to install
the master version in ~/dct directory, let's run, for instance at ESRF:
user1@host1 /tmp/dct-install $ python dct_setup.py -b master -d ~/dct -m 2013a -mp /sware/com/matlab_2013a
Checking system...
Done.
System information:
System Description: debian6 x86_64
Matlab Version: 2013a
Gcc Version: 4.4.5
Git Version: 1.7.2.5
Git repository information:
Mode: User
Branch: master
DCT Dir: /users/user1/dct
Installing...
* Cloning repository...
Cloning into /users/user1/dct...
remote: Counting objects: 1978, done.
remote: Compressing objects: 100% (1632/1632), done.
remote: Total 1978 (delta 506), reused 1435 (delta 329)
Receiving objects: 100% (1978/1978), 26.10 MiB | 5.15 MiB/s, done.
Resolving deltas: 100% (506/506), done.
Done.
Initializing configuration files..
Creating new file: 'conf.xml'
New file path: /users/user1/dct/conf.xml
Updated '/users/user1/dct/conf.xml' with: 'matlab/version' <- '2013a'
Done.
Compiling MEX files..
[...]
Done.
Compiling batch functions... (may take several minutes)
[...]
Done.
DCT is now Installed in: '/users/user1/dct'
5. Using the dct_launch.py script with the proper argument, you can:
- run matlab with the DCT code [ matlab ] (works also with no arguments)
- update the code [ update ]
- update the configuration [ update_conf ]
- recompile the mex functions [ compile_mex ] (sub-options, see --help)
- recompile the matlab functions [ compile_matlab ] (sub-options, see --help)
- list all options [ -h | --help ]
$ python /users/user1/dct/dct_launch.py
6. Have fun with DCT!
7. Update regularly the code with "update" command and the configuration with
"update_conf" command.
8. Submit bug reports to https://sourceforge.net/p/dct/tickets
9. For more information or support, contact graintracking@esrf.fr