add a docker script..

docker/Dockerfile

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+FROM tensorflow/tensorflow:latest-gpu
+
+ARG user_id
+ARG root_psw="12345678"
+ARG user_psw="ok"
+ARG user_name=user
+
+# Installs the necessary pkgs.
+RUN \
+	echo "**** packages installation ****" \
+		&& apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/3bf863cc.pub \
+		&& apt-get update && apt-get install -y \
+			vim \
+            build-essential \
+            cmake \
+            libopencv-dev \
+            libjpeg-dev \
+            libpng-dev \
+            libglew-dev \
+            libpthread-stubs0-dev \
+			git \
+			virtualenv \
+			time \
+			sudo \
+			wget \
+			nano \
+            python3.8-venv \
+            libboost-program-options-dev \
+            libboost-filesystem-dev \
+            libboost-graph-dev \
+            libboost-regex-dev \
+            libboost-system-dev \
+            libboost-test-dev \
+            libeigen3-dev \
+            libsuitesparse-dev \
+            libfreeimage-dev \
+            libgoogle-glog-dev \
+            libgflags-dev \
+            libglew-dev \
+            qtbase5-dev \
+            libqt5opengl5-dev \
+            libcgal-dev \
+            libcgal-qt5-dev \
+            libmetis-dev \
+            libflann-dev \
+            libatlas-base-dev \
+            libsuitesparse-dev \
+	&& echo "**** python pip update ****" \
+		&& /usr/bin/python3 -m pip install --upgrade pip \
+	&& echo "**** aliases for l and ll commands creation ****" \
+		&& echo -e 'ls --color=auto "$@"' > /usr/bin/l \
+		&& echo -e 'ls -lah --color=auto "$@"' > /usr/bin/ll \
+    	&& chmod +x /usr/bin/ll /usr/bin/l \
+	&& echo "**** history-search-backward by pressing F8 ****" \
+		&& sed -i 's/# "\\e\[5~": history-search-backward/"\\e\[19~": history-search-backward/' /etc/inputrc \
+	&& echo "**** root password creation ****" \
+		&& echo "root:${root_psw}" | chpasswd \
+	&& echo "**** user creation ****" \
+		&& useradd -m -s /usr/bin/bash -u ${user_id} -G sudo ${user_name} \
+		&& echo "${user_name}:${user_psw}" | chpasswd \
+		&& chown -R ${user_name}:${user_name} /home/${user_name}/ \
+		&& mkdir /home/${user_name}/workspace/ \
+        && chown -R user:user /home/${user_name}/workspace
+
+
+USER ${user_name} 
+WORKDIR /home/${user_name}/
+ 
+
+#Read/Write: git clone ssh://ics\\ammarkov@cvrlcode.ics.forth.gr:29418/users/ammarkov/ammarkov.git
+#Read only: git clone https://ics\\ammarkov@cvrlcode.ics.forth.gr:8443/r/users/ammarkov/ammarkov.git
+
+RUN git config --global http.sslverify false
+RUN cd /home/${user_name}/workspace && git clone --recursive https://github.com/graphdeco-inria/gaussian-splatting && cd gaussian-splatting && ./docker/initialize.sh
+

docker/build_and_deploy.sh

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+#!/usr/bin/env bash
+# This script builds and runs a docker image for local use.
+
+#Although I dislike the use of docker for a myriad of reasons, due needing it to deploy on a particular machine
+#I am adding a docker container builder for the repository to automate the process
+
+
+DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
+cd "$DIR"
+cd ..
+REPOSITORY=`pwd`
+
+cd "$DIR"
+
+NAME="mocapnet"
+dockerfile_pth="$DIR"
+mount_pth="$REPOSITORY"
+
+# update tensorflow image
+docker pull tensorflow/tensorflow:latest-gpu
+
+# build and run tensorflow
+docker build \
+	-t $NAME \
+	$dockerfile_pth \
+	--build-arg user_id=$UID
+
+docker run -d \
+	--gpus all \
+	--shm-size 8G \
+	-it \
+	--name $NAME-container \
+	-v $mount_pth:/home/user/workspace \
+	$NAME
+
+
+docker ps -a
+
+OUR_DOCKER_ID=`docker ps -a | grep mocapnet | cut -f1 -d' '`
+echo "Our docker ID is : $OUR_DOCKER_ID"
+echo "Attaching it using : docker attach $OUD_DOCKER_ID"
+docker attach $OUR_DOCKER_ID
+
+exit 0

docker/initialize.sh

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+#!/bin/bash
+
+
+git clone https://ceres-solver.googlesource.com/ceres-solver
+cd ceres-solver
+git checkout $(git describe --tags) # Checkout the latest release
+mkdir build
+cd build
+cmake .. -DBUILD_TESTING=OFF -DBUILD_EXAMPLES=OFF -DCMAKE_CUDA_ARCHITECTURES=native
+make
+sudo make install
+cd ..
+cd ..
+
+
+git clone https://github.com/colmap/colmap
+cd colmap
+git checkout dev
+mkdir build
+cd build
+cmake .. -DCMAKE_CUDA_ARCHITECTURES=native
+make
+sudo make install
+CC=/usr/bin/gcc-6 CXX=/usr/bin/g++-6 cmake ..
+cd ..
+cd ..
+
+
+pip install -q plyfile 
+
+pip install -q https://huggingface.co/camenduru/gaussian-splatting/resolve/main/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl
+pip install -q https://huggingface.co/camenduru/gaussian-splatting/resolve/main/simple_knn-0.0.0-cp310-cp310-linux_x86_64.whl
+
+exit 0