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Installing NiftyReg¶
Linux¶
I like to build within a directory named code
found in the root of my user directory, to create this directory run:
mkdir ~/code
Now create a build, install and source directory for NiftyReg:
cd ~/code
mkdir niftyreg_{build,source}
Obtain the newest version of NiftyReg or by running the following:
cd ~/code/niftyreg_source
git clone https://github.com/SuperElastix/niftyreg.git .
Run CMake/Make¶
Note
If you don't have make/cmake, follow the steps in this guide.
Make the build and install directories.
The default install location is /usr/local
, which falls on your PATH. This is the easiest location to install. If you want to install somewhere else then specify the path in the CMAKE_INSTALL_PREFIX
variable.
cd ~/code/niftyreg_build
ccmake ~/code/niftyreg_source
If you get an error like: Error opening terminal: xterm-256color.
run the following and try again (you can also add this to your .bashrc
file):
export TERM=xterm
The following options will be displayed, ensure you change CMAKE_INSTALL_PREFIX
variable to the install directory path if you don't want to use default:
Parameter | Value |
---|---|
BUILD_ALL_DEP | Set to ON if you want to build All the dependencies |
BUILD_SHARED_LIBS | Build the libraries as shared build the libraries as shared |
BUILD_TESTING | Set to ON if you want to build the unit tests |
CMAKE_BUILD_TYPE | Compiling options: Debug Release RelWithDebInfo MinSizeRel |
CMAKE_INSTALL_PREFIX | Set the path where the final install will be copied |
M_LIBRARY | Path to a library. |
PNG_INCLUDE_DIR | Set if you want NiftyReg to support the PNG file format for 2D images. Note that CMake will try to find the libpng on your system and will build it automatically if it does not find it. |
USE_CUDA | Set to ON if you want to build the GPU code. The CUDA toolkit must be install otherwise CMake will return an error message |
USE_OPENCL | Set to ON to use OpenCL for multi-CPU implementation. |
USE_OPENMP | Set to ON to use OpenMP for multi-CPU implementation. |
USE_SSE | Set to ON to use SIMD based implementation, mostly for cubic B-Spline related computation. Note that SIMD implementation has only be done for single precision. |
Press 'c' to configure the NiftyReg project, press 'c' to configure the project. Once the project is correctly configured, press the 'g' key to generate the Makefiles. You can then build and install the project:
sudo make -j4
sudo make install
If you get an error try setting USE_OPENMP
to OFF while running ccmake
.
Post-Install Configuration¶
The project should then be installed into the CMAKE_INSTALL_PREFIX
directory you previously created.
If you changed the install prefix directory, to one not on your PATH, you will need to add NiftyReg to your PATH. In order to use NiftyReg in any terminal, you will need to edit your .profile
file by adding the following lines:
NREG=<path_to_your_niftyreg_install>
export PATH={NREG}/bin:${PATH}
export LD_LIBRARY_PATH={NREG}/lib:${LD_LIBRARY_PATH}
Close and re-open the linux terminal then run:
reg_f3d