What the H*** is AFNI?

AFNI is a suite of programs for looking at and analyzing 3D brain images. The emphasis is on FMRI, but AFNI can be used for other purposes as well. See https://afni.nimh.nih.gov/afni for more fun.

AFNI directory

Currently top directory contains three sub-directories

doc/

documentation for AFNI

src/

source code for AFNI

tests/

tests for AFNI

Relevant git-ology for AFNI

First time stuff

1. Make yourself known to git-land:

   git config --global user.name   "Fred Mertz"
   git config --global user.email  mertzf@bargle.argle
   git config --global core.editor vim
   

2. Create a copy of the repository on your machine:

   git clone https://github.com/afni/afni.git
   

Stuff to do as needed

• Getting updates from the repository:

  git pull origin master
  

• Seeing what changes you have made locally:

  git status
  

• To commit some files to your LOCAL repository (preferred):

  git commit -m "PLEASE comment"   FILE1 FILE2 ...
  

• To commit all tracked files with changes (locally):

  git commit -a -m "PLEASE try to put a comment here"
  

• If you have new files to add into the repository; PLEASE PLEASE PLEASE, be careful with wildcards!!! The main thing is to avoid adding very large files (such as binaries) by mistake!:

  git add -f FILE1 FILE2 ...
  

• Sending the local updates to the master (github.com) repository

  git push origin master

Compilation of AFNI

In src/, you need to choose one of the Makefile.* files that is closest to your system, and cp it to be named Makefile. Makefile is set up to install into the INSTALLDIR location, defined in that file -- you should probably change that to be appropriate for your use.

If you are using Mac OS X, choose one of the Makefile.macosx_* files.

For later versions of Mac OS X, Apple's C compiler does not support OpenMP, so we recommend downloading and installing a version of gcc from http://hpc.sourceforge.net/ or purchasing a commercial C compiler (e.g., Intel's icc) that does support OpenMP. Several important programs in the AFNI suite are parallelized via OpenMP, and will run much faster if compiled appropriately.

If you are using Linux, try Makefile.linux_openmp_64 first.

To make and install everything do:

make vastness

The command:

make cleanest

will remove all the *.o files, etc.