2. Tiles_crs_rad_range.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Install `fcx-playground` package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install fcx-playground"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3DTiles Data Processing for CRS RAD-RANGE data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fcx_playground.fcx_dataprocess.tiles_rad_range import RadRangeTilesPointCloudDataProcess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "obj = RadRangeTilesPointCloudDataProcess()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = obj.ingest('./test_data/olympex_CRS_20151110_172815-20151110_175946_2_v01a.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "preprocessed_data = obj.preprocess(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "point_clouds_tileset = obj.prep_visualization(preprocessed_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<i> Note: the `prep_visualization` method will return path to the `tileset.json` file (which should be loaded for further visualization) </i>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display in Cesium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fcx_playground.fcx_cesium_viz.tiles_viz import TilesViz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<i> Note: For the generated tileset.json file, say in \"./temp/2015-11-10/zarr_point_cloud/tileset.json\", we need get the download link and pass it to generate_html function described below. </i>\n",
    "To get the download link:\n",
    "1. Go to the directory containing `tileset.json`\n",
    "2. Right click `tileset.json` then select `Copy Download Link`\n",
    "3. Paste it to the `generate_html` method (in the following cell)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tileset_viz_obj = TilesViz()\n",
    "rad_range_tileset_cesium_html = tileset_viz_obj.generate_html(\"link_to_tileset_json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import IPython.display\n",
    "\n",
    "IPython.display.HTML(data = rad_range_tileset_cesium_html)"
   ]
  }
 ],
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