rizky

#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Apple hides old versions of stuff at https://developer.apple.com/download/more/
# Install the latest XCode (8.0).
#   We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew.
#   So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after
#   you have installed caffe.
# Install CUDA toolkit 8.0 release candidate
#   Register and download from https://developer.nvidia.com/cuda-release-candidate-download

rizky

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

rizky

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

rizky

class Leveldb < Formula
  desc "Key-value storage library with ordered mapping"
  homepage "https://github.com/google/leveldb/"
  url "https://s3.eu-central-1.amazonaws.com/wb-rd/leveldb-1.19-macos1012fix.tar.gz"
  sha256 "7a580e543a3b69efb4407619c48dbeac2043eccd385574f9de53f2dcfea65897"

  option "with-test", "Verify the build with make check"

  depends_on "gperftools"
  depends_on "snappy"

rizky

#Squared and resize the video
ffmpeg -i all.mp4 -vf "scale=256:256:force_original_aspect_ratio=decrease,pad=256:256:(ow-iw)/2:(oh-ih)/2" all_square.mp4

#Convert video to gif
ffmpeg -y -i all_square.mp4 -vf fps=10,scale=256:-1:flags=lanczos,palettegen palette.png
ffmpeg -i all_square.mp4 -i palette.png -filter_complex "fps=10,scale=256:-1:flags=lanczos[x];[x][1:v]paletteuse" all.gif

#Convert gif to png
# ffmpeg -i all_square.mp4 -vcodec png pngs/%05d.png
ffmpeg -i all.gif -vcodec png pngs/%0d.png

rizky

#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

# Install the experimental NVIDIA Mac drivers
#   Download from http://www.nvidia.com/download/driverResults.aspx/103826/en-us
# Install cuDNN v5 for 8.0 RC or use the latest when it's available
#   Register and download from https://developer.nvidia.com/rdp/cudnn-download 
#   or this path: https://developer.nvidia.com/rdp/assets/cudnn-8.0-osx-x64-v5.0-ga-tgz
#   extract to the NVIDIA CUDA folder and perform necessary linking

rizky

#switch to docker-machine
eval "$(docker-machine env default)"

#run docker image
docker run -e 'ACCEPT_EULA=Y' -e 'SA_PASSWORD={{superstrong-password}}' -p 1433:1433 -d microsoft/mssql-server-linux

#create new docker-machine make sure docker-machine have 3.5GB of ram
#docker-machine create -d virtualbox --virtualbox-memory 4096 default

#edit default docker-machine make sure docker-machine have 3.5GB of ram

rizky

start docker
stop docker
restart docker

#Docker Build
docker build -t rizkyario/${image-name} .
docker push rizkyario/${image-name}
docker tag ${image_id} docker.io/${login_name}/${image_name} 

# Docker-Machine

rizky

#create new docker-machine make sure docker-machine have 3.5GB of ram
#docker-machine create -d virtualbox --virtualbox-memory 4096 default

#edit default docker-machine make sure docker-machine have 3.5GB of ram
docker-machine stop
VBoxManage modifyvm default --memory 4096
docker-machine start

# switch to docker-machine
eval "$(docker-machine env default)"

rizky

#Add remote origin
git remote add origin $(github-address)

#Push to origin
git push -u origin master

#Create new branch
git checkout -b $(new-branch)
git push -u origin $(new-branch)