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Dockerfile
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FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
MAINTAINER @mynameismaxz (github.com/mynameismaxz)
# install all-of-package
RUN apt-get update && apt-get install -y software-properties-common && \
add-apt-repository ppa:jonathonf/ffmpeg-4 -y && \
apt-get update && \
apt-get install -y build-essential \
python-pip \
python-dev \
python-numpy \
python3-dev \
python3-setuptools \
python3-numpy \
python3-pip \
make \
cmake \
libavcodec-dev \
libavfilter-dev \
libavformat-dev \
libavutil-dev \
ffmpeg \
wget \
git \
libcurl4-gnutls-dev \
zlib1g-dev \
liblapack-dev \
libatlas-base-dev \
libgstreamer1.0-dev \
libgstreamer-plugins-base1.0-dev \
libswscale-dev \
libdc1394-22-dev \
libzip-dev \
libboost* \
zip \
unrar \
yasm \
pkg-config \
libtbb2 \
libtbb-dev \
libjpeg-dev \
libpng-dev \
libtiff-dev \
libjasper-dev \
libavformat-dev \
libpq-dev \
libxine2-dev \
libglew-dev \
libtiff5-dev \
zlib1g-dev \
libjpeg-dev \
libpng12-dev \
libjasper-dev \
libavcodec-dev \
libavformat-dev \
libavutil-dev \
libpostproc-dev \
libswscale-dev \
libeigen3-dev \
libtbb-dev \
libgtk2.0-dev \
&& rm -rf /var/lib/apt/lists/*
RUN mkdir -p /data
WORKDIR /data
# unlink old-python (python2) & make new symbolic-link for python3
RUN unlink /usr/bin/python \
&& unlink /usr/bin/pip \
&& ln -s /usr/bin/python3 /usr/bin/python \
&& ln -s /usr/bin/pip3 /usr/bin/pip \
&& pip install --upgrade pip
# install essential python package
RUN pip install torchvision==0.4.0 \
cython==0.29.11 \
numpy==1.16.4 \
scipy \
pandas \
matplotlib \
scikit-learn
# 1 st step - clone repository & install opencv 4.1.0 (using a lot of time!!)
RUN wget -O OpenCV-4.1.0.zip https://github.com/opencv/opencv/archive/4.1.0.zip \
&& unzip OpenCV-4.1.0.zip \
&& rm -rf OpenCV-4.1.0.zip \
&& wget -O OpenCV_contrib-4.1.0.zip https://github.com/opencv/opencv_contrib/archive/4.1.0.zip \
&& unzip OpenCV_contrib-4.1.0.zip \
&& rm -rf OpenCV_contrib-4.1.0.zip \
&& cd opencv-4.1.0 \
&& mkdir build \
&& cd build \
### using cmake refer from INSTALLATION.md default file ###
&& cmake \
-DCMAKE_BUILD_TYPE=Release \
-DWITH_CUDA=ON \
-DOPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.1.0/modules/ \
-DWITH_TBB=ON \
-DBUILD_opencv_cnn_3dobj=OFF \
-DBUILD_opencv_dnn=OFF \
-DBUILD_opencv_dnn_modern=OFF \
-DBUILD_opencv_dnns_easily_fooled=OFF \
-DOPENCV_ENABLE_NONFREE=ON \
.. \
&& make -j
# clone repository (mmaction)
RUN git clone --recursive https://github.com/open-mmlab/mmaction.git
# install cmake first
RUN wget --no-check-certificate https://cmake.org/files/v3.9/cmake-3.9.0.tar.gz \
&& tar -zxvf cmake-3.9.0.tar.gz \
&& rm -rf cmake-3.9.0.tar.gz \
&& cd cmake-3.9.0 \
&& ./bootstrap --system-curl \
&& make -j && make install
# install decord
RUN cd mmaction/third_party/decord \
&& mkdir -p build \
&& cd build \
&& cmake .. -DUSE_CUDA=0 \
&& make -j \
&& cd ../python \
&& python3 setup.py install --user
# install dense flow
RUN cd mmaction/third_party/dense_flow \
&& mkdir build \
&& cd build \
&& OpenCV_DIR=/data/opencv-4.1.0/build/ cmake .. \
&& make -j
# install mmcv
RUN pip install mmcv==0.2.16
# setup mmaction
RUN cd mmaction \
&& chmod 777 compile.sh \
&& ./compile.sh \
&& python3 setup.py develop