Manual setup

The setup steps are based on Ubuntu, you can change the commands correspondingly for other systems. For the detailed installation dependencies, please refer to Environment requirement.

Install Bazel

Recommend bazel with version larger than 0.13.0 (Refer to Bazel documentation).

export BAZEL_VERSION=0.13.1
mkdir /bazel && \
    cd /bazel && \
    wget https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
    chmod +x bazel-*.sh && \
    ./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
    cd / && \
    rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh

Install Android NDK

The recommended Android NDK versions includes r15b, r15c and r16b (Refers to NDK installation guide).

# Download NDK r15c
cd /opt/ && \
    wget -q https://dl.google.com/android/repository/android-ndk-r15c-linux-x86_64.zip && \
    unzip -q android-ndk-r15c-linux-x86_64.zip && \
    rm -f android-ndk-r15c-linux-x86_64.zip

export ANDROID_NDK_VERSION=r15c
export ANDROID_NDK=/opt/android-ndk-${ANDROID_NDK_VERSION}
export ANDROID_NDK_HOME=${ANDROID_NDK}

# add to PATH
export PATH=${PATH}:${ANDROID_NDK_HOME}

Install extra tools

apt-get install -y --no-install-recommends \
    cmake \
    android-tools-adb
pip install -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com setuptools
pip install -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com \
    "numpy>=1.14.0" \
    scipy \
    jinja2 \
    pyyaml \
    sh==1.12.14 \
    pycodestyle==2.4.0 \
    filelock

Install TensorFlow (Optional)

pip install -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com tensorflow==1.8.0

Install Caffe (Optional)

Please follow the installation instruction of Caffe.

Install ONNX (Optional)

Please follow the installation instruction of ONNX.