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# ==================== Building Model Layer ===========================
# This is a little trick to improve caching and minimize rebuild time
# and bandwidth. Note that RUN commands only cache-miss if the prior layers
# miss, or the dockerfile changes prior to this step.
# To update these patch files, be sure to run build with --no-cache
FROM alpine as model_data
RUN apk --no-cache --update-cache add wget
WORKDIR /data/patch_experts
RUN wget -q https://www.dropbox.com/s/7na5qsjzz8yfoer/cen_patches_0.25_of.dat &&\
wget -q https://www.dropbox.com/s/k7bj804cyiu474t/cen_patches_0.35_of.dat &&\
wget -q https://www.dropbox.com/s/ixt4vkbmxgab1iu/cen_patches_0.50_of.dat &&\
wget -q https://www.dropbox.com/s/2t5t1sdpshzfhpj/cen_patches_1.00_of.dat
## ==================== Install Ubuntu Base libs ===========================
## This will be our base image for OpenFace, and also the base for the compiler
## image. We only need packages which are linked
FROM ubuntu:18.04 as ubuntu_base
LABEL maintainer="Michael McDermott <mikemcdermott23@gmail.com>"
ARG DEBIAN_FRONTEND=noninteractive
# todo: minimize this even more
RUN apt-get update -qq &&\
apt-get install -qq curl &&\
apt-get install -qq --no-install-recommends \
libopenblas-dev liblapack-dev \
libavcodec-dev libavformat-dev libswscale-dev \
libtbb2 libtbb-dev libjpeg-dev \
libpng-dev libtiff-dev &&\
rm -rf /var/lib/apt/lists/*
## ==================== Build-time dependency libs ======================
## This will build and install opencv and dlib into an additional dummy
## directory, /root/diff, so we can later copy in these artifacts,
## minimizing docker layer size
## Protip: ninja is faster than `make -j` and less likely to lock up system
FROM ubuntu_base as cv_deps
WORKDIR /root/build-dep
ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get update -qq && apt-get install -qq -y \
cmake ninja-build pkg-config build-essential checkinstall\
g++-8 &&\
rm -rf /var/lib/apt/lists/* &&\
update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 800 --slave /usr/bin/g++ g++ /usr/bin/g++-8
## llvm clang-3.7 libc++-dev libc++abi-dev \
## ==================== Building dlib ===========================
RUN curl http://dlib.net/files/dlib-19.13.tar.bz2 -LO &&\
tar xf dlib-19.13.tar.bz2 && \
rm dlib-19.13.tar.bz2 &&\
mv dlib-19.13 dlib &&\
mkdir -p dlib/build &&\
cd dlib/build &&\
cmake -DCMAKE_BUILD_TYPE=Release -G Ninja .. &&\
ninja && \
ninja install && \
DESTDIR=/root/diff ninja install &&\
ldconfig
## ==================== Building OpenCV ======================
ENV OPENCV_VERSION=4.1.0
RUN curl https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.tar.gz -LO &&\
tar xf ${OPENCV_VERSION}.tar.gz && \
rm ${OPENCV_VERSION}.tar.gz &&\
mv opencv-${OPENCV_VERSION} opencv && \
mkdir -p opencv/build && \
cd opencv/build && \
cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D WITH_TBB=ON -D WITH_CUDA=OFF \
-DWITH_QT=OFF -DWITH_GTK=OFF\
-G Ninja .. && \
ninja && \
ninja install &&\
DESTDIR=/root/diff ninja install
## ==================== Building OpenFace ===========================
FROM cv_deps as openface
WORKDIR /root/openface
COPY ./ ./
COPY --from=model_data /data/patch_experts/* \
/root/openface/lib/local/LandmarkDetector/model/patch_experts/
RUN mkdir -p build && cd build && \
cmake -D CMAKE_BUILD_TYPE=RELEASE -G Ninja .. && \
ninja &&\
DESTDIR=/root/diff ninja install
## ==================== Streamline container ===========================
## Clean up - start fresh and only copy in necessary stuff
## This shrinks the image from ~8 GB to ~1.6 GB
FROM ubuntu_base as final
WORKDIR /root
# Copy in only necessary libraries
COPY --from=openface /root/diff /
# Since we "imported" the build artifacts, we need to reconfigure ld
RUN ldconfig