FROM ubuntu:hirsute # system packages installation ENV DEBIAN_FRONTEND=noninteractive # Install python RUN apt-get update \ && apt-get install -y python3-pip python3-dev \ && cd /usr/local/bin \ && ln -s /usr/bin/python3 python \ && pip3 install --upgrade pip RUN apt update && apt install -y ffmpeg swig cmake libimage-exiftool-perl curl nfs-common cifs-utils libopenblas-dev libheif-dev libmagic1 libraw-dev libboost-all-dev libxrender-dev liblapack-dev git bzip2 cmake build-essential libsm6 libglib2.0-dev libgl1-mesa-glx libpq-dev libexpat-dev \ librsvg2-dev \ libpng-dev \ libgif-dev \ libjpeg-dev \ libexif-dev \ liblcms2-dev \ liborc-dev \ pkg-config \ libexpat1-dev \ libtiff5-dev \ libgsf-1-dev \ libopenexr-dev \ libcfitsio-dev \ libimagequant-dev \ libtool \ libtool-bin \ wget \ libwebp-dev --no-install-recommends #Build and install libraw RUN git clone https://github.com/LibRaw/LibRaw RUN ls WORKDIR /LibRaw RUN autoreconf --install RUN ./configure RUN make RUN make install #Build and install imagemagick WORKDIR / RUN mkdir /imagemagick RUN curl -SL https://www.imagemagick.org/download/ImageMagick.tar.gz | tar -zxC /imagemagick WORKDIR /imagemagick/ImageMagick-7.1.0-5 RUN ./configure --with-modules RUN make install RUN ldconfig /usr/local/lib # Build and install libvips ARG VIPSVERSION=8.11.0 ARG VIPSURL=https://github.com/libvips/libvips/releases/download WORKDIR /usr/local/src RUN wget ${VIPSURL}/v${VIPSVERSION}/vips-${VIPSVERSION}.tar.gz \ && tar xzf vips-${VIPSVERSION}.tar.gz \ && cd vips-${VIPSVERSION} \ && ./configure \ && make V=0 \ && make install \ && ldconfig # pre trained models download WORKDIR /data_models RUN mkdir -p /root/.cache/torch/hub/checkpoints/ RUN curl -SL https://github.com/LibrePhotos/librephotos-docker/releases/download/0.1/places365.tar.gz | tar -zxC /data_models/ RUN curl -SL https://github.com/LibrePhotos/librephotos-docker/releases/download/0.1/im2txt.tar.gz | tar -zxC /data_models/ RUN curl -SL https://github.com/LibrePhotos/librephotos-docker/releases/download/0.1/clip-embeddings.tar.gz | tar -zxC /data_models/ RUN curl -SL https://download.pytorch.org/models/resnet152-b121ed2d.pth -o /root/.cache/torch/hub/checkpoints/resnet152-b121ed2d.pth RUN pip install torch torchvision RUN pip3 install pyvips # Build and install dlib WORKDIR / RUN git clone https://github.com/davisking/dlib.git && \ mkdir /dlib/build && \ cd /dlib/build && \ cmake .. -DDLIB_USE_CUDA=0 -DUSE_AVX_INSTRUCTIONS=0 -DLIB_NO_GUI_SUPPORT=0 && \ cmake --build . && \ cd /dlib && \ python setup.py install --no USE_AVX_INSTRUCTIONS --no DLIB_USE_CUDA --no USE_SSE4_INSTRUCTIONS #Build and install faiss. Needs to be build for ARM WORKDIR /faiss RUN git clone https://github.com/facebookresearch/faiss.git /faiss RUN cmake -B build . -DFAISS_ENABLE_GPU=OFF -DFAISS_ENABLE_PYTHON=ON -DFAISS_OPT_LEVEL=generic RUN make -C build -j faiss RUN make -C build -j swigfaiss RUN (cd build/faiss/python && python setup.py install) # install unzip RUN apt install -y unzip # unzip faiss to actually installed it... RUN unzip /usr/local/lib/python3.9/dist-packages/faiss*.egg -d /usr/local/lib/python3.9/dist-packages/