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Dockerfile
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# Use Ubuntu 16.04 LTS
FROM ubuntu:xenial-20161213
# Pre-cache neurodebian key
COPY docker/files/neurodebian.gpg /root/.neurodebian.gpg
# Prepare environment
RUN apt-get update && \
apt-get install -y --no-install-recommends \
curl \
bzip2 \
ca-certificates \
xvfb \
cython3 \
build-essential \
autoconf \
libtool \
pkg-config && \
curl -sSL http://neuro.debian.net/lists/xenial.us-ca.full >> /etc/apt/sources.list.d/neurodebian.sources.list && \
apt-key add /root/.neurodebian.gpg && \
(apt-key adv --refresh-keys --keyserver hkp://ha.pool.sks-keyservers.net 0xA5D32F012649A5A9 || true) && \
apt-get update
# Installing freesurfer
RUN curl -sSL https://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/6.0.1/freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.1.tar.gz | tar zxv --no-same-owner -C /opt \
--exclude='freesurfer/trctrain' \
--exclude='freesurfer/subjects/fsaverage_sym' \
--exclude='freesurfer/subjects/fsaverage3' \
--exclude='freesurfer/subjects/fsaverage4' \
--exclude='freesurfer/subjects/cvs_avg35' \
--exclude='freesurfer/subjects/cvs_avg35_inMNI152' \
--exclude='freesurfer/subjects/bert' \
--exclude='freesurfer/subjects/V1_average' \
--exclude='freesurfer/average/mult-comp-cor' \
--exclude='freesurfer/lib/cuda' \
--exclude='freesurfer/lib/qt'
ENV FSL_DIR=/usr/share/fsl/5.0 \
OS=Linux \
FS_OVERRIDE=0 \
FIX_VERTEX_AREA= \
FSF_OUTPUT_FORMAT=nii.gz \
FREESURFER_HOME=/opt/freesurfer
ENV SUBJECTS_DIR=$FREESURFER_HOME/subjects \
FUNCTIONALS_DIR=$FREESURFER_HOME/sessions \
MNI_DIR=$FREESURFER_HOME/mni \
LOCAL_DIR=$FREESURFER_HOME/local \
FSFAST_HOME=$FREESURFER_HOME/fsfast \
MINC_BIN_DIR=$FREESURFER_HOME/mni/bin \
MINC_LIB_DIR=$FREESURFER_HOME/mni/lib \
MNI_DATAPATH=$FREESURFER_HOME/mni/data \
FMRI_ANALYSIS_DIR=$FREESURFER_HOME/fsfast
ENV PERL5LIB=$MINC_LIB_DIR/perl5/5.8.5 \
MNI_PERL5LIB=$MINC_LIB_DIR/perl5/5.8.5 \
PATH=$FREESURFER_HOME/bin:$FSFAST_HOME/bin:$FREESURFER_HOME/tktools:$MINC_BIN_DIR:$PATH
# Installing Neurodebian packages (FSL, AFNI, git)
RUN apt-get update && \
apt-get install -y --no-install-recommends \
fsl-core=5.0.9-4~nd16.04+1 \
fsl-mni152-templates=5.0.7-2 \
afni=16.2.07~dfsg.1-5~nd16.04+1 \
convert3d
ENV FSLDIR=/usr/share/fsl/5.0 \
FSLOUTPUTTYPE=NIFTI_GZ \
FSLMULTIFILEQUIT=TRUE \
POSSUMDIR=/usr/share/fsl/5.0 \
LD_LIBRARY_PATH=/usr/lib/fsl/5.0:$LD_LIBRARY_PATH \
FSLTCLSH=/usr/bin/tclsh \
FSLWISH=/usr/bin/wish \
AFNI_MODELPATH=/usr/lib/afni/models \
AFNI_IMSAVE_WARNINGS=NO \
AFNI_TTATLAS_DATASET=/usr/share/afni/atlases \
AFNI_PLUGINPATH=/usr/lib/afni/plugins
ENV PATH=/usr/lib/fsl/5.0:/usr/lib/afni/bin:$PATH
# Installing ANTs 2.2.0 (NeuroDocker build)
ENV ANTSPATH=/usr/lib/ants
RUN mkdir -p $ANTSPATH && \
curl -sSL "https://dl.dropbox.com/s/2f4sui1z6lcgyek/ANTs-Linux-centos5_x86_64-v2.2.0-0740f91.tar.gz" \
| tar -xzC $ANTSPATH --strip-components 1
ENV PATH=$ANTSPATH:$PATH
# Installing SVGO
RUN curl -sL https://deb.nodesource.com/setup_10.x | bash -
RUN apt-get install -y nodejs
RUN npm install -g svgo
# Installing and setting up ICA_AROMA
RUN mkdir -p /opt/ICA-AROMA && \
curl -sSL "https://github.com/maartenmennes/ICA-AROMA/archive/v0.4.4-beta.tar.gz" \
| tar -xzC /opt/ICA-AROMA --strip-components 1 && \
chmod +x /opt/ICA-AROMA/ICA_AROMA.py
ENV PATH=/opt/ICA-AROMA:$PATH
# Installing and setting up miniconda
RUN curl -sSLO https://repo.continuum.io/miniconda/Miniconda3-4.3.11-Linux-x86_64.sh && \
bash Miniconda3-4.3.11-Linux-x86_64.sh -b -p /usr/local/miniconda && \
rm Miniconda3-4.3.11-Linux-x86_64.sh
ENV PATH=/usr/local/miniconda/bin:$PATH \
LANG=C.UTF-8 \
LC_ALL=C.UTF-8
# Installing precomputed python packages
RUN conda install -y mkl=2017.0.1 mkl-service; sync &&\
conda install -y numpy=1.12.0 \
scipy=0.18.1 \
scikit-learn=0.18.1 \
matplotlib=2.0.0 \
pandas=0.19.2 \
libxml2=2.9.4 \
libxslt=1.1.29\
traits=4.6.0; sync && \
chmod -R a+rX /usr/local/miniconda; sync && \
chmod +x /usr/local/miniconda/bin/*; sync && \
conda clean --all -y; sync && \
conda clean -tipsy && sync
# Precaching fonts, set 'Agg' as default backend for matplotlib
RUN python -c "from matplotlib import font_manager" && \
sed -i 's/\(backend *: \).*$/\1Agg/g' $( python -c "import matplotlib; print(matplotlib.matplotlib_fname())" )
# Installing Ubuntu packages and cleaning up
RUN apt-get update && \
apt-get install -y --no-install-recommends \
git=1:2.7.4-0ubuntu1 \
graphviz=2.38.0-12ubuntu2 && \
apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
# Unless otherwise specified each process should only use one thread - nipype
# will handle parallelization
ENV MKL_NUM_THREADS=1 \
OMP_NUM_THREADS=1
WORKDIR /root/
# Precaching atlases
ENV CRN_SHARED_DATA /niworkflows_data
ADD docker/scripts/get_templates.sh get_templates.sh
RUN mkdir $CRN_SHARED_DATA && \
/root/get_templates.sh && \
chmod -R a+rX $CRN_SHARED_DATA
# Installing dev requirements (packages that are not in pypi)
ADD requirements.txt requirements.txt
RUN pip install -r requirements.txt && \
rm -rf ~/.cache/pip
# Installing FMRIPREP
COPY . /root/src/fmriprep
ARG VERSION
# Force static versioning within container
RUN echo "${VERSION}" > /root/src/fmriprep/fmriprep/VERSION && \
cd /root/src/fmriprep && \
pip install .[all] && \
rm -rf ~/.cache/pip
RUN ldconfig
WORKDIR /root/src/fmriprep
ENTRYPOINT ["/usr/local/miniconda/bin/fmriprep"]
ARG BUILD_DATE
ARG VCS_REF
ARG VERSION
LABEL org.label-schema.build-date=$BUILD_DATE \
org.label-schema.name="FMRIPREP" \
org.label-schema.description="FMRIPREP - robust fMRI preprocessing tool" \
org.label-schema.url="http://fmriprep.readthedocs.io" \
org.label-schema.vcs-ref=$VCS_REF \
org.label-schema.vcs-url="https://github.com/poldracklab/fmriprep" \
org.label-schema.version=$VERSION \
org.label-schema.schema-version="1.0"