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dvc-dataversioning's Introduction

Deployment on EC2

Create EC2 Instance

DVC

  • Install pip (yum install pip)

  • Install DVC with (pip3 install dvc)

  • Initialize DVC (dvc init) in your repo

  • Add s3 remote (dvc remote add -d storage s3://triton-repository/data/)

  • Add files to git (git add .)

  • Commit changes to git (git commit -m "dvc init")

  • Create a data folder (mkdir data)

  • Download the pets dataset in the data folder:

wget https://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz
wget https://www.robots.ox.ac.uk/~vgg/data/pets/data/annotations.tar.gz
  • Add the raw image data to dvc (dvc add data/)

  • Add files to git (git add data.dvc .gitignore)

  • Commit changes to git (git commit -am "Raw data")

  • Push data with dvc (dvc push)

  • Uncompress the dataset

tar -xzf images.tar.gz
tar -xzf annotations.tar.gz
  • Add files (dvc add data/)

  • Add to git (git add data.dvc)

  • Commit changes to git (git commit -am "Uncompressed data")

  • Push data with dvc (dvc push)

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