From 40e16c3a0279795593c7fe1f81e148d57f212478 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Maciej=20P=C4=99=C5=9Bko?= <mpesko3031@gmail.com>
Date: Tue, 28 Aug 2018 00:31:10 +0200
Subject: [PATCH] Add google cloud vision setup script

---
 prepare_setup.sh | 98 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 prepare_setup.sh

diff --git a/prepare_setup.sh b/prepare_setup.sh
new file mode 100644
index 0000000..653f411
--- /dev/null
+++ b/prepare_setup.sh
@@ -0,0 +1,98 @@
+#!/bin/bash
+
+# BASIC STUFF
+sudo apt-get update
+sudo apt-get -y dist-upgrade
+sudo apt-get -y install apt-utils software-properties-common
+sudo add-apt-repository -y ppa:jonathonf/python-3.6
+sudo apt-get update
+sudo apt-get -y install python3 python3-dev python3-pip libcupti-dev python3.6 python3.6-dev python3.6-venv vim ffmpeg build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev httpie
+
+
+# CUDA
+echo "Checking for CUDA and installing."
+# Check for CUDA and try to install.
+if ! dpkg-query -W cuda-9-0; then
+  # The 16.04 installer works with 16.10.
+  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.0.176-1_amd64.deb
+  sudo dpkg -i ./cuda-repo-ubuntu1604_9.0.176-1_amd64.deb
+  sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
+  sudo apt-get update
+  sudo apt-get install cuda-9-0 -y
+fi
+# Enable persistence mode
+sudo nvidia-smi -pm 1
+
+
+# DOCKER
+sudo apt-get -y remove docker docker-engine docker.io
+sudo apt-get update
+sudo apt-get -y install apt-transport-https ca-certificates curl
+curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
+sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
+sudo apt-get update
+sudo apt-get -y install docker-ce
+
+
+# NVIDIA-DOCKER
+# Add the package repositories
+curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
+  sudo apt-key add -
+distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
+  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
+sudo apt-get update
+
+# Install nvidia-docker2 and reload the Docker daemon configuration
+sudo apt-get install -y nvidia-docker2
+sudo pkill -SIGHUP dockerd
+
+# Test nvidia-smi with the latest official CUDA image
+sudo docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi
+
+
+# DOCKER-COMPOSE
+sudo curl -L https://github.com/docker/compose/releases/download/1.22.0/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose
+sudo chmod +x /usr/local/bin/docker-compose
+
+
+# CUDNN
+wget https://developer.download.nvidia.com/compute/machine-learning/cudnn/secure/v7.2.1/prod/9.0_20180806/Ubuntu16_04-x64/libcudnn7_7.2.1.38-1%2Bcuda9.0_amd64.deb
+wget https://developer.download.nvidia.com/compute/machine-learning/cudnn/secure/v7.2.1/prod/9.0_20180806/Ubuntu16_04-x64/libcudnn7-dev_7.2.1.38-1%2Bcuda9.0_amd64.deb
+wget https://developer.download.nvidia.com/compute/machine-learning/cudnn/secure/v7.2.1/prod/9.0_20180806/Ubuntu16_04-x64/libcudnn7-doc_7.2.1.38-1%2Bcuda9.0_amd64.deb
+
+sudo dpkg -i libcudnn7_7.2.1.38-1+cuda9.0_amd64.deb
+sudo dpkg -i libcudnn7-dev_7.2.1.38-1+cuda9.0_amd64.deb
+sudo dpkg -i libcudnn7-doc_7.2.1.38-1+cuda9.0_amd64.deb
+
+echo 'export CUDA_HOME=/usr/local/cuda' >> ~/.bashrc
+echo 'export PATH=$PATH:$CUDA_HOME/bin' >> ~/.bashrc
+echo 'export LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
+
+source ~/.bashrc
+
+
+# INSTALL PACKAGES
+export LC_ALL="en_US.UTF-8"
+export LC_CTYPE="en_US.UTF-8"
+sudo python3.6 -m pip install --upgrade pip
+sudo python3.6 -m pip install tensorflow-gpu h5py keras torch torchvision
+sudo python3.6 -m pip install scikit-image opencv-contrib-python
+
+
+# REMOVE UNNECESSARY FILES
+sudo rm libcudnn7*.deb
+sudo rm cuda-repo-ubuntu1604*.deb
+
+
+# CLONE REPO
+git clone https://github.com/maciej3031/comixify.git
+
+
+# BUILD AND RUN CONTAINERS
+cd comixify/
+sudo docker-compose build
+sudo docker-compose up -d
+
+# ASSURE THAT PORT 80 is open
+sudo iptables -w -A INPUT -p tcp --dport 80 -j ACCEPT