Python 3.8 dlib face-reocgnition

Dockerfile

# syntax = docker/dockerfile:experimental
#
# NOTE: To build this you will need a docker version > 18.06 with
#       experimental enabled and DOCKER_BUILDKIT=1
#
#       If you do not use buildkit you are not going to have a good time
#
#       For reference:
#           https://docs.docker.com/develop/develop-images/build_enhancements/
ARG BASE_IMAGE=ubuntu:18.04
ARG PYTHON_VERSION=3.8

FROM ${BASE_IMAGE} as dev-base
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
        build-essential \
        ca-certificates \
        ccache \
        cmake \
        curl \
        git \
        libjpeg-dev \
        libpng-dev && \
    rm -rf /var/lib/apt/lists/*
RUN /usr/sbin/update-ccache-symlinks
RUN mkdir /opt/ccache && ccache --set-config=cache_dir=/opt/ccache
ENV PATH /opt/conda/bin:$PATH

FROM dev-base as conda
ARG PYTHON_VERSION=3.8
# Automatically set by buildx
ARG TARGETPLATFORM
# translating Docker's TARGETPLATFORM into miniconda arches
RUN case ${TARGETPLATFORM} in \
         "linux/arm64")  MINICONDA_ARCH=aarch64  ;; \
         *)              MINICONDA_ARCH=x86_64   ;; \
    esac && \
    curl -fsSL -v -o ~/miniconda.sh -O  "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-${MINICONDA_ARCH}.sh"
COPY requirements.txt .
# Manually invoke bash on miniconda script per https://github.com/conda/conda/issues/10431
RUN chmod +x ~/miniconda.sh && \
    bash ~/miniconda.sh -b -p /opt/conda && \
    rm ~/miniconda.sh && \
    /opt/conda/bin/conda install -y python=${PYTHON_VERSION} cmake conda-build pyyaml numpy ipython && \
    /opt/conda/bin/python -mpip install -r requirements.txt && \
    /opt/conda/bin/conda clean -ya

RUN conda install -c conda-forge dlib
RUN pip install cmake
RUN pip install face-recognition