data/inspect_masks.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copyright (c) Microsoft Corporation. All rights reserved.\n",
    "# Licensed under the MIT License."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = 'all' # default is ‘last_expr’\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('./lib/ai4eutils')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "\n",
    "from geospatial.visualization.raster_label_visualizer import RasterLabelVisualizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# label_map can also take path to a json that contains the colormap, \n",
    "# which is at constants/class_lists/label_map.json\n",
    "\n",
    "viz = RasterLabelVisualizer(label_map='../constants/class_lists/label_map.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PkgKq/qU62zU49vvz98DS+Z1IQVVllu/N/D0jcJW0DPDtBvuZISI+A54g7QErKh+bmZmZmTWdZ76a56/A/qRZpMGkpXAnkYKYGxuo31NS3/y7B7AOKcvgs8wMZIaR9oKdJ+lKYE3gt8ye6ONw0guf75V0JmkZ3hrAAhFxUrFgRHwm6eekvVhDJf0kIh6NiH9JugY4TdICpJT5uwHL5qo1l/FFxDOSrgJOktQTGAVsRnof2qBCso2RpP1up0qanzQDdgSNLdWs5jjgFkn/IGV4XAU4kDQjZmZmZmbWaTzz1SQRMYm0h2osKR36hcAjwFYR0ch+oxWAh/PnDuA3wEWk1O+f5D6GkoKtfqSZtu1J6dQ/KI3lIWAjYApwPmmf2C9IGRCrjf1T0gzancAwSWvnS/uQ0rSfQEqcMZW0VJFyny3YHTiDFJTeSppFOzgiji313Z8UQF5OSll/PPBMA+1Xu5dbgb1JSUduyPe1PfBZW9ozMzMzM2srRVRLyFcoINUuMI+KiEazFs7VJF0NrBMRK3X1WMzMzMzMvsi87NAaJmlb4OvA06TlgP1J+6cO7MJhmZmZmZnNERx8WWtMISXMOJq0h+1lYP+IOLtLR2VmZmZmNgfwssM28rJDMzMzMzNrDSfcMDMzMzMz6wR1Z77MzMzMzMys/TzzZWZmZmZm1gnqJtxYZ9Q6nhqr4om1n/CeLzMzMzMza5hnvszMzMzMzDqBgy8zMzMzM7NO4OCrSSQtK+ksSSMlTWtNyn5JQySFpBuqXBskaVqHDnb2Pp6XNKSZfZiZmZmZzWscfDXPN4AdgLHAyDa28TNJa3fckMzMzMzMrKs4+Gqe+yKid0RsDdzehvqvAK8Cgzp0VGZmZmZm1iUcfDVJRHzeziY+AY4Htpb03VoFJS0q6TxJ7+Yljk9LGthIJ5K2kPRcrveUpB9VKbO+pOslvSVpai7/W0nzFcr0yUsl95R0jqTxkiZK+j9J80naUNJjkj6U9KikNUt9HJiXaE7Mde+RtH6VsWwlaXRhvJtWWyYpaT1JwyVNljRF0o2SVmzkmZiZmZmZNYODry+2i4GXqTH7JakbcBuwEzAY6A88BVwuafdajUv6NnAj8B9gAHAW8DegV6noCsBjwK+ALXOZQS2M61gggIHA6cBvgVOAvwBnADsCCwLXFoO33MdfgO2AnwNvA/dJWrUw3jWB64HXgO2BM4ELgSVL97UecB/wKbBbbm8F4C5JPWo9EzMzMzOzZqn7ni/rOhHxqaTjgCGS1ouIR6sU2wLYAOgfETfmc0Ml9SbNnF1co4sjgTHA1hExHUDSO8CtpXFcVfktScD9QA/gQODoUpuPR8T/5N93SNoKOBhYKyKeKrRxM7AW8ETu47eFProBw4F1gF8AhxXG+xawTUR8msu+zezLOv8EPANsVZmBlPQIaSnnL4DzajwTMzMzM7Om8MzXF9+lwIukWa1qNgSmAjeVzl8OLFdnqV1f4KZK4JXdntubQdJikk6X9BownbQk8gSgl6RFS20OLx2/CIytBF6FcwDLFfroK2mYpHGkGatPgFWAlQv11gduqQReABExFPiw0M4CwA+Aq4D5JHWX1B0YRwrI1qv+KMzMzMzMmsvB1xdcRHxGWsrXT1LfKkUWJwU35VT2YwrXW7I0KRtjsb8onwOGAHuQlg32A9YlBV8APUtlJ5aOpwMTqpybUVfSCqSgbSFgf1JAuS7wdKn9pUlBVFnx3OJAN9Ls1yelz7rA8lXqm5mZmZk1nZcdzhkuB44izX49XLr2PrCUJJUCsN6F6y15h9L+rrwksFfhuCdpn9cREXFa4fxWrb2JGjYDFgG2jYgZgVSeVRtTKPcOpf1dWfHcROBz4GTgmiplJ7dzrGZmZmZmbeKZrzlA3rc0mBSkfK90+X5gAWCb0vmdgDcj4tUaTY8EtpE0f+Hc5qSEGBU9SDNJM17snPdk7dyae6hjQVKSjo8LffyAlCSjPN6t8jLCSrl+pBkzACLiQ+BBYPWIeLzK54UOHLeZmZmZWcM889VEkgbkn2uUjkdHxOhWNncVafbrJxSCFFKmw4dJSTmOJCWVGEhaHrhHnTb/ADwO3CzpTGAp4BgKywQj4gNJI4HD836sD0lLAzvy785dpNmqiySdA6yYx/FWC+O9KZfrRUr48X6uX3EIcK+k60l75t4jLVncGLi7mEDEzMzMzKyzeOarua7On11Lxzu2tqHC7Ff5/GekjIdX5es3kbIE7hIRtTIdEhFPA9uSEl9cBxwE7MPse752AUYDFwB/JQVAf2jtPdQYx7PA7sDqpCyIvwH2Bv5dZbzbAX3yeA8GfknaQ/ZBodxjpAyQAs4HhpH2qPUgJd0wMzMzM+t0mj1Pw6zWGbVO7QLzqCfWfkJdPQYDSasDzwJ71As2zczMzMy6kpcd2hwlLze8lzQ7903Su7/eBK7tynGZmZmZmdXj4MvmNIsAp5EyHE4B7gEOy4k2zMzMzMy+sBx82RwlInbv6jGYmZmZmbWFE26YmZmZmZl1groJN8zMzMzMzKz9PPNlZmZmZmbWCerv+fqHPDVWzS7hVPNmZmZmZtYwz3yZmZmZmZl1AgdfZmZmZmZmncDBV5NIGiDpeklvSJoqabSkwyTN30DdIZJC0rMtXL8pXx9ROLdxPte3A2+jQ0kamMfYp6vHYmZmZmbW2Rx8Nc/vgI+Bw4AtgEuBwcCFDdafAqwu6TvFk5K+CvQDJpfKjwI2AKoGbGZmZmZm1rX8kuXm2ToixhWOR0iaDzhO0qERMaZO/beAScCuwFOF8zsC75GCrBmzaBExCXikIwbeKEkLRMRHndmnmZmZmdmcyjNfTVIKvCqeyN9LN9jMZcDOOWir2A24Avi8WLDassN8fISkIyW9LWmCpGvy7Fmx7qKSzpP0rqRpkp6WNLBUZlC+tpak+yV9BBze0sAlLSzpQkkfSHpf0rnAAlXKnSDpKUmTJY2RdIukVUplhkh6XtImkp6U9JGkUZK+K2l+SadLGpfH/4fi85K0sqTLJL2e670o6URJPUt9fFnS3yVNqoxX0i/KyyRzf8dKekXSdEn/lrR/S8/BzMzMzKzCwVfn2hCYDrzcYPkrgN7ADwEkrQh8j7SEsVH/DawF7A0cCmwGnFm5KKkbcBuwE2lZZH/STNvlknYvtdUduCp/NgduqtHvBcBA4BhgF2BR4Ngq5XoDJwNb57F2Bx6StESpXC/gDOAUYABp1u864Pz8e1fgz8DvSQFqxdeAV4EDSMs1TwX2BP5aZbwDgKPyeBchPY+yK3JbZ5OWk14OnCbpl9Ufg5mZmZlZ4mWHnUTSqsCBwF/zEsG6IuJdSXeSAot78vfzETFKavg1Y+8DO0ZE5HF8AzhY0m753BakvWL9I+LGXGeopN7A8cDFhba6AYMjombwJ+lbpOWR+0XEnwttjgSWLd3j3oV63YBhwNhc/9xC0cWATSLi6VxWwM3AVyJij1xmuKStgB0q446Ie0jPrlLnQdJ+uYsk7RcRk/OfzQBg34i4oDDeh4HlCuPbGNgW2CYibs6n75S0CDBY0oURMcuMpJmZmZlZhWe+OkFe5ncjacbr962sfhmwvaQepODrslbWH14JvLLRpJmipfLxhsBUZp/FuhxYLs+2Fd3SQJ/rAwKuKZ2/tlxQ0uaSHpA0Afg0j2VhYOVS0XcrgVf2Yv4eVir3IrMGTD3zksmXgGnAJ6SZw27A13Ox9fJ4byi1dV3peDPSPryhkrpXPsCdpKWky2JmZmZm1gIHX00maWHSsr75gX4R8WErm7g+1z0a+BatD74mlI6n5+/KnqfFgbGlAA1gTOH6jLoRMbGBPpcm7Ul7r3T+3eKBpHVJQd8EYC/Sksp1gXGF8VWU+63cR7X7K9Y9CTgCuATYihRo7ZevVcpVxju+1NbY0vGSwJdzH58UPpVZsOUxMzMzM2uBlx02UZ6tuh5YCfhBRLzd2jYiYoqkG0kzZg9FxKsdPMz3gaUkqRSA9S5cnzGcBtt8hxTYL0EKpCqWKpXrT5rp2jYiPgXIM0mLNdhPIwYAF0TEjP1mklZvYbxfZdaAsVep3HhSsLdZC3290L6hmpmZmdnczDNfTZL3L10O9AW2iIj2/MP8POB24LSOGFvJ/aQshNuUzu8EvNnGYO9RUqA2oHR++9LxgqRZpOI+qZ3p2P8UWJC03LBot9JxZbz9S+e3Kx0PJwWGERGPV/mU371mZmZmZjaDZ76a5xxScob/BboVU8ADL7eQir6qiLgPuK+Dx1dxG/AwMETSkcArpCyF/YA9alVsSUT8S9I1wCmS5ifNCO1OyjxYNAw4CDhP0pXAmsBvmX2JYXsMA/aRNJr07rTdgVn2sRXGe5qkBUj7xnZj5h6uz3O5uyVdC9wm6WTgSaAHsAqwYUSUgzUzMzMzsxk889U8/fL3caTgpvjZsqsGVRYRn5EyHl5FSq1+E7AOsEtEXFyrbh175zaPI80ATiEFosW+h5KCrX6kRB7bkwLWD9rRb9n+pBmrU0mJNiaRsk6W7UNKCHICKZ381FyH0ngGkmYg9yYFrheTZvhGdOCYzczMzGwupNnzLJT8Q43u85m37BIN53q3OZOkq4F1ImKlrh6LmZmZmc35vOzQDJC0LSn1/NOk7JL9STNa1WbJzMzMzMxazcGXWTKFtKTwaFIK+peB/SPi7C4dlZmZmZnNNRx8mQERcQdwR1ePw8zMzMzmXk64YWZmZmZm1gnqJ9wwMzMzMzOzdvPMl5mZmZmZWSeou+frqF9P8NRYFcf/eTGnmjczMzMzs4Z55svMzMzMzKwTOPgyMzMzMzPrBA6+mkTSTyWNkDRW0seSXpd0vqSvNVB3iKSQ9GwL12/K10e0YVwjJA1tbb2OIGloW8ZsZmZmZjY38Hu+mmdxYCRwJjAe+CbpBb6bSlojIj6qU38KsLqk70TEU5WTkr4K9AMmt3FcvwE+b2NdMzMzMzNrIwdfTRIRlwOXF07dK+kNYBiwUf6u5S1gErAr8FTh/I7Ae8CzwPxtGNfo1tapRtKXgM8j4rOOaM/MzMzMbG7nZYeda3z+/rTB8pcBO0sq/jntBlxBafZK0lKSLpD0b0kfSXpV0p8lfaVUbrZlh5K+l89PlfSBpOslfaNU5jVJ50k6UNIrwDRguZYGLml9SY9KmibpBUkDq5RZWdJleUnmR5JelHSipJ6lciHpSEmDJY2RNFnSxZJ6Slo9j/1DSc9K2rRUdzdJ90p6L9/bI5I2rzKWDSQ9VhjvTtWWSUpaRdK1kibkMd8j6TstPQczMzMzswoHX00mqZukHpJWA04GRgH3Nlj9CqA38MPc1orA94BLq5T9Kmkp4mGkZYmDgE2Bm+uMby3gbtLfhV2AXwGrAfdL6lUqvg1p5u13+feEFtrsBQzPbe6cx3IcsGap6NeAV4ED8phPBfYE/lql2V8DK+frRwEDgbOBq0gzjNuRZgSvk/TlQr0+pOe4M7ADaSnorZJ+VBjvUnm8n+d2jwGOBb5duq8+wEN53PsCA3KdEZKWrPYszMzMzMwqvOyw+Z4DVsm/nwC2jIiGZr4i4l1Jd5KWHt6Tv5+PiFGSymVHAwdXjiU9CPwbeEDSajWWGx5FCqI2i4hpue7DwEvA/sD/Fsr2BPpFRL39ZgeT/m71i4j3cpv/BJ4BXiyM+Z58Xyjd0IOkAPIiSfuV+hkbETvn30MlbQjsDWwbETfkNt7KffwEuDb3cXzhmcxHCjS/RQoy7yqMF+CnETExl32a9Gf3UmEMg4APgR9FxIe53N3Ay8AhwO/rPBczMzMzm4d55qv5tgc2IM3YLAzcVV4KWMdlwPaSepCCr8uqFVJykKTnJE0FPgEeyJdXrtH+hsANlcALICJeJ83wbFQqe18DgRdAX2BEJfDKbT4HPF8ac09JgyS9RFrG+AlpVq8b8PVSm3eUjitB3PAq52Ysh5S0al4mOIa03PMTYDNmfSbrA/dWAq883n8B/yr1uRlwE/CxpO6SujPzOa9XfghmZmZmZkUOvposIp6LiEci4iLgx6RZsH1b0cT1pMQaR5NmbKoGX8BBpGV7Q0lL8NbP35BmrFqyODCmyvkx+VrRuw2NGJYGxlY5X65/EnAEcAmwFSmA2S9fK495Yul4OvBxREytnIiI6cW6khYhBWcrA4cDGwPrkp5Rsf2lgXFVxlu+hyXz+D4pfXYAlq9S38zMzMxsBi877EQR8Z88A1Oe1alVZ4qkG0lL2h6KiFdbKDoAuD0iDqmckLRxA128T9pXVtY7X5tlOA20B/AOUN4vBrAUswY0A4ALIuLYyglJqzfYRyP6AssC20XEY4U+FiiVe4cUWJX1YtagbDwpS+VZVcp+3L6hmpmZmdnczjNfnUjS14FlSHuEWuM84HbgtBplFiQt3Sv6eQNt3w/0L2YYlLQcKbHHfa0cZ8VIYGNJSxTaXJ00c1dUbcy7tbHPahbM3zP6yElLvl8qNxL4oaRFC+VWBVYtlRtOShryVEQ8Xvo804HjNjMzM7O5kGe+mkTS9aQEG/8kvTB5NVKWwP8AF7amrYi4j/qB0DDgEEkHk94BtjVpmV09xwMPA8MknUpajjeYNOtVbYanEaeRlucNlXR8bvM4Zl/eOAzYR9Jo0nvNdgdWbGOf1TxMSuBxrqQTSMsojyX9GbQ03j8CPXK5d5g1pf/RwGOkfXvnAW+TZsf6Aq9HxJkdOHYzMzMzm8t45qt5HiHtubqElO59P1IGvu9GRHk5X0c4FhgC/D/gGtISv51bKDtj+WBEPAlU0q5fDpxPSozxg4iotm+rroh4l5RxMIArSYHXMaRAtGh/0mzSqaREG5OAA9vSZwvjGEtKePIV0t65o0kZC+8tlXsX+CnpPyOuJAWkg4E3gA8K5V4j7Ut7Ezg9j/0U0tLGRztq3GZmZmY2d1JE7W08R/16QqP7fOYpx/95MdUv9cUjaRQwOiI6cnnfXCe/q+wV4E/FPWlmZmZmZm3lZYfzCEnLApuQ9iwN6drRfPFIOhEYTVqSuCxwKPAZ8LeuHJeZmZmZzT0cfM079gEOIKWqP7+Lx/JF1I203HBpUubCh4FfRER5f5iZmZmZWZt42WEbzanLDs3MzMzMrGs44YaZmZmZmVknqDvzZWZmZmZmZu3nmS8zMzMzM7NOUDfhxiO9TvTUWBV9xx7pPV9mZmZmZtYwz3yZmZmZmZl1AgdfZmZmZmZmncDBVyeQ1F3SPyWFpIENlB+Sy4akzyVNlPSkpNMlfbNJY1xU0iBJazSj/WaS9LykIV09DjMzMzOzWhx8dY4DgSVbWed1YAPge8COwD+ALYF/StqxY4cHwKLAMcAcF3yZmZmZmc0JHHw1maSvkYKaw1tZdVpEPJI/wyPiZOC/gJHARZJW6OixNkrSAl3Vt5mZmZnZnMrBV/OdAdwE3NfehiJiKrAf0BPYt3hN0q55aeI0Se9KOqsYJEn6kqQ/SHpN0seSxkq6Q9I3JPUBXs1FLy8seeyTPyFpL0nnSBoHjM5t9pD0R0lv5jZfkHRAoc9ekqZL+nX5XiRdLenpwvH8ko6V9Equ829J+1ept4Wk5/J9PiXpR+16qGZmZmZmnaRuqnlrO0n9gM2AVYAeHdFmRDwn6T+k5YiVfg4ATgPOIs2w9QFOBBYHds3Ffg/sn7+fARYDNgS+DDwHbAdcB/wvcGeu8w6wdP59PDAU2I2Zf28uAbYBBgGjgH7AGZIWjYhjI2KspBuAXwJ/Lox3iVzvkMKtXQFsChwL/BP4IXCapGkRcX6u923gRuDufJ9LAX8DFmn4AZqZmZmZdREHX00iqSdwNjA4It7Js0sd5T9A79zPIqTA6PSImBHMSBoLXCfphIgYDawPDI+Iswvt3FAo/2T++e+IeKRwvvJzdETsVTj/bWAH4KCIOCOfHi5pIeBwSadFxGTgL8CdktaOiFG53B7A58Clua2NgW2BbSLi5lzmznxvgyVdGBGfA0cCY4CtI2J6rvsOcGvjj87MzMzMrGt42WHzHAlMB85sQtsCKi+/3oA083NlzqrYXVJ30uyQgO/mco8DW+SlfevlMq1xS+l4w/x9Ren85cCChX7vBl4C9imU2Ru4JiIm5uPNgEnA0NI93EmaeVs2l+sL3FQJvLLbgamtvBczMzMzs07n4KsJcjKMw0hL+BaStChpeR/AgpK+0s4uliPNAMHMLIojgU8Knw/y+eXz94mkGbKBuexYSae2InnGu6XjxUmzV2NL58cUrhMRAZwP7CJpAUnfB1bN5yqWJD2f6aV7qMyCVe5h6XJ/uf3yGMzMzMzMvnC87LA5ViTt8bqmyrULgXNJSTNaLS/3Wwb4ez41Pn/vyMykGUVvA+TZouOB4yUtD+xECsgmkfZs1ROl4/dJwXsvZg3MeheuVwzJfe8AbAK8GBHFBCTjgQmkGbBqXsjf7+T+ZlBaF9lrthpmZmZmZl8wDr6a4ylSkFHUm7Qk7zhmJrRolTxLdRbwMTNnjh4CpgDLR8TVjbQTEW8AJ0vaGVgtn64s5Ws0KLw/fw8kZXSs2Im0DPDxQn/jJF1HSvixKjC41NZwUgKNiIgnavQ5EthG0sGFpYebk5Y5mpmZmZl9oTn4aoK8l2lE8Vwh4cbo0qxPS3pK6pt/L0J6x9e+pCWHe0TE67mvSZKOAP4vv1PsLmAaKePhlsChEfGypBuBJ0lZCSeR9mytycwshGOAiaTlgS+RArx/1rjHZyRdBZyUk4uMIs1c/QoYlJNtFP0FuIe0nPCiUlt3S7oWuE3SyXmcPUhZIjeMiO1y0T+QgrqbJZ1JynZ4DGnWzMzMzMzsC83B1xfXCsDDpOV+k0lLCm8DzomIl4oFI+JsSW8DvyMFP58Br5FSw4/Lxe4nLU08EJg/t3dwJY17RHwuaS/gBFIA14O0fLKW3Ump4fcnLf17Pbd5RrlgRIyQNB4YERHV9mgNzOPfG1gp3/MLwJWFNp6WtC3wJ1Ja/BdIiTzOqjNOMzMzM7Mup5SvoGWP9DqxdoF5VN+xR6p+KauQtD7wCNAvIoZ19XjMzMzMzDqbZ76sqSQtA3wdOIX0MufhXTsiMzMzM7Ou4VTz1mz7kva/LQD8POpNtZqZmZmZzaUcfFlTRcSgiOgWEWtGxJNdPR4zMzMzs67i4MvMzMzMzKwT1E24YWZmZmZmZu3nmS8zMzMzM7NO4ODLzMzMzMysEzj4MjMzMzMz6wQOvszMzMzMzDqBgy8zMzMzM7NO4ODLzMzMzMysEzj4MjMzMzMz6wQOvszMzMzMzDrB/wejvRXS9uEocQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 872x162 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l = viz.plot_color_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Inspect target masks\n",
    "\n",
    "This notebook demonstrates how to use the `RasterLabelVisualizer` class in `ai4eutils` to visualize the masks with our colormap. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_dir = './nlrc-damage-assessment/public_datasets/xBD/raw/train/targets_border2'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4.69 ms, sys: 4.08 ms, total: 8.77 ms\n",
      "Wall time: 1.01 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "226"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "target_paths = sorted([os.path.join(target_dir, i) for i in os.listdir(target_dir) if i.startswith('palu-tsunami')])\n",
    "len(target_paths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/lynx/mnt/nlrc-damage-assessment/public_datasets/xBD/raw/train/targets_border2/palu-tsunami_00000005_post_disaster_b2.png'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(1024, 1024)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([0, 1, 3, 5], dtype=uint8)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1080x1080 at 0x7F4A8E5F0150>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = target_paths[8]\n",
    "p\n",
    "p_np = np.array(Image.open(p))\n",
    "p_np.shape\n",
    "np.unique(p_np)\n",
    "\n",
    "im, buf = viz.show_label_raster(p_np, size=(15, 15))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/lynx/mnt/nlrc-damage-assessment/public_datasets/xBD/raw/train/targets_border2/palu-tsunami_00000005_pre_disaster_b2.png'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(1024, 1024)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=uint8)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1080x1080 at 0x7F4A8E56F650>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = target_paths[9]\n",
    "p\n",
    "p_np = np.array(Image.open(p))\n",
    "p_np.shape\n",
    "np.unique(p_np)\n",
    "\n",
    "im, buf = viz.show_label_raster(p_np, size=(15, 15))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:nlrc]",
   "language": "python",
   "name": "conda-env-nlrc-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}