index.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#hide"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "<div align=\"center\">\n",
    "\n",
    "# Omni ↦ Data (Under Construction)\n",
    "**A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans**\n",
    "\n",
    "  \n",
    "[`Annotator Repo`](https://github.com/Ainaz99/omnidata-annotator) &centerdot; [**`>> [Starter Data] <<`**](https://github.com/EPFL-VILAB/omnidata-dataset) &centerdot;  [`Tooling + Training Repo`](https://github.com/Ainaz99/omnidata-tools) &centerdot;  [`Reference Code`](https://github.com/Ainaz99/Omnidata) &centerdot; [`Project Website`](https://omnidata.vision)\n",
    "\n",
    "</div>\n",
    "\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This file will become your README and also the index of your documentation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`pip install your_project_name`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to use"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fill me in please! Don't forget code examples:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}