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   "source": [
    "# Solutions of exercises\n",
    "\n",
    "Exercises are available in a few notebooks. Below are solutions to the exercises.\n",
    "How to use the notebook:\n",
    "\n",
    "* **DO NOT RUN THE NOTEBOOK**\n",
    "* **Copy the code snippet(s) and run the snippet(s) in the relevant notebook**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38dce9f9",
   "metadata": {},
   "source": [
    "## Exercises from notebook idr0062_prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75db4ae2",
   "metadata": {},
   "source": [
    "### Exercise 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47d19053",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Question 1: Read the geojson file:\n",
    "import json\n",
    "with open(geojson_file) as f:\n",
    "    d = json.load(f)\n",
    "    values = d['features']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8fa7860",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Question 2: Overlay the shapes from a specific plane on the image\n",
    "z = int(image.getPrimaryPixels().getSizeZ() / 2)\n",
    "ax = plt.subplot()\n",
    "plt.imshow(data[0, 0, z, :, :], cmap='gray')\n",
    "for v in values:\n",
    "    if v[\"properties\"][\"z\"] == z:\n",
    "        label_geojson = numpy.array(v[\"geometry\"][\"coordinates\"])\n",
    "        p = label_geojson.squeeze()\n",
    "        ax.plot(p[:, 0], p[:, 1], linewidth=v[\"properties\"][\"stroke-width\"], color=\"red\")\n",
    "plt.show()"
   ]
  }
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