1-kaggle-download.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download handwitten characters dataset from Kaggle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, install the Kaggle API by uncommenting the following line and executing it, or by executing it in your terminal. Depending on your environment, you may need to append \"--user\" to the command."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If this line below does not work, copy and paste it in a bash shell\n",
    "#! pip install kaggle --upgrade"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then you need to upload your credentials from Kaggle on your instance. Login to kaggle and click on your profile picture on the top left corner, then 'My account'. Scroll down until you find a button named 'Create New API Token' and click on it. This will trigger the download of a file named 'kaggle.json'.\n",
    "\n",
    "Upload this file to the directory this notebook is running in, by clicking \"Upload\" on your main Jupyter page, then uncomment and execute the next two commands."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#! mkdir -p ~/.kaggle/\n",
    "#! mv ../../../kaggle.json ~/.kaggle/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You're all set to download the data from [HandWritten_Character](https://www.kaggle.com/vaibhao/handwritten-characters). You just need to run the two cells below (uncomment the shell commands to download and unzip the data)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = Path(Config.get_key('data_path')).expanduser()/'handwritten'\n",
    "os.makedirs(path, exist_ok=True)\n",
    "path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "! sudo mkdir /mnt/ramdisk\n",
    "! sudo mount -t tmpfs tmpfs /mnt/ramdisk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If this line below does not work copy and paste it in a bash shell\n",
    "#! kaggle datasets download -d vaibhao/handwritten-characters\n",
    "#! unzip ~/handwritten-characters.zip -d /home/bernadjm/.fastai/data/handwritten\n",
    "! sudo chmod 777 /mnt\n",
    "#! unzip ~/handwritten-characters.zip -d /mnt/handwritten\n",
    "! unzip ~/handwritten-characters.zip -d /mnt/ramdisk/handwritten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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