# 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:18.04 MAINTAINER WORKDIR /io WORKDIR /mediapipe ENV DEBIAN_FRONTEND=noninteractive RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential \ gcc-8 g++-8 \ ca-certificates \ curl \ ffmpeg \ git \ wget \ unzip \ python3-dev \ python3-opencv \ python3-pip \ libopencv-core-dev \ libopencv-highgui-dev \ libopencv-imgproc-dev \ libopencv-video-dev \ libopencv-calib3d-dev \ libopencv-features2d-dev \ software-properties-common && \ add-apt-repository -y ppa:openjdk-r/ppa && \ apt-get update && apt-get install -y openjdk-8-jdk && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 100 --slave /usr/bin/g++ g++ /usr/bin/g++-8 RUN pip3 install --upgrade setuptools RUN pip3 install wheel RUN pip3 install future RUN pip3 install six==1.14.0 RUN pip3 install tensorflow==1.14.0 RUN pip3 install tf_slim RUN ln -s /usr/bin/python3 /usr/bin/python # Install bazel ARG BAZEL_VERSION=3.7.2 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/ WORKDIR /mediapipe/ RUN mkdir /tmp/mediapipe WORKDIR /tmp/mediapipe RUN curl -O http://data.yt8m.org/pca_matrix_data/inception3_mean_matrix_data.pb RUN curl -O http://data.yt8m.org/pca_matrix_data/inception3_projection_matrix_data.pb RUN curl -O http://data.yt8m.org/pca_matrix_data/vggish_mean_matrix_data.pb RUN curl -O http://data.yt8m.org/pca_matrix_data/vggish_projection_matrix_data.pb RUN curl -O http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz RUN tar -xvf /tmp/mediapipe/inception-2015-12-05.tgz WORKDIR /mediapipe/ RUN python -m mediapipe.examples.desktop.youtube8m.generate_vggish_frozen_graph RUN bazel build -c opt --linkopt=-s \ --define MEDIAPIPE_DISABLE_GPU=1 --define no_aws_support=true \ mediapipe/examples/desktop/youtube8m:extract_yt8m_features RUN curl -o /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz http://data.yt8m.org/models/baseline/saved_model.tar.gz RUN tar -xvf /tmp/mediapipe/yt8m_baseline_saved_model.tar.gz -C /tmp/mediapipe RUN bazel build -c opt --define='MEDIAPIPE_DISABLE_GPU=1' --linkopt=-s \ mediapipe/examples/desktop/youtube8m:model_inference RUN apt-get update RUN apt-get install nano # 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