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Dockerfile
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# Copyright 2019 The MediaPipe Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
FROM ubuntu:latest
MAINTAINER <mediapipe@google.com>
WORKDIR /io
WORKDIR /mediapipe
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
ca-certificates \
<<<<<<< HEAD
=======
curl \
>>>>>>> Project import generated by Copybara.
git \
wget \
unzip \
python \
python-pip \
libopencv-core-dev \
libopencv-highgui-dev \
libopencv-imgproc-dev \
libopencv-video-dev \
software-properties-common && \
add-apt-repository -y ppa:openjdk-r/ppa && \
<<<<<<< HEAD
apt-get update && apt-get install -y openjdk-11-jdk && \
=======
apt-get update && apt-get install -y openjdk-8-jdk && \
>>>>>>> Project import generated by Copybara.
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN pip install --upgrade setuptools
RUN pip install future
# Install bazel
ARG BAZEL_VERSION=0.26.1
RUN mkdir /bazel && \
wget --no-check-certificate -O /bazel/installer.sh "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/b\
azel-${BAZEL_VERSION}-installer-linux-x86_64.sh" && \
wget --no-check-certificate -O /bazel/LICENSE.txt "https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE" && \
chmod +x /bazel/installer.sh && \
/bazel/installer.sh && \
rm -f /bazel/installer.sh
COPY . /mediapipe/
# If we want the docker image to contain the pre-built object_detection_offline_demo binary, do the following
# RUN bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/demo:object_detection_tensorflow_demo