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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![image](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://demo.leafmap.org/lab/index.html?path=maplibre/mapillary.ipynb)\n",
    "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/leafmap/blob/master/docs/maplibre/mapillary.ipynb)\n",
    "[![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opengeos/leafmap/HEAD)\n",
    "\n",
    "**Visualizing Mapillary Vector Tiles**\n",
    "\n",
    "[Mapillary](https://www.mapillary.com/) provides a global dataset of street-level images, with coverage in many countries. The Mapillary vector tiles provide a way to access the data in a vector format, which can be used to create custom maps and visualizations.\n",
    "\n",
    "Uncomment the following line to install [leafmap](https://leafmap.org) if needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install \"leafmap[maplibre]\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import leafmap.common as common\n",
    "import leafmap.maplibregl as leafmap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To run this notebook, you will need an [access token](https://www.mapillary.com/developer) from Mapillary. Once you have the API key, you can uncomment the following code block and replace `YOUR_API_KEY` with your actual API key. Then, run the code block code to set the API key as an environment variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# os.environ[\"MAPILLARY_API_KEY\"] = \"YOUR_API_KEY\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = leafmap.Map(\n",
    "    style=\"bright\", center=[-73.99941, 40.71194], zoom=13, sidebar_visible=True\n",
    ")\n",
    "m.add_basemap(\"Satellite\")\n",
    "m.add_mapillary(minzoom=6, maxzoom=14, add_popup=True, add_to_sidebar=True)\n",
    "m.add_layer_control()\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image](https://github.com/user-attachments/assets/db9fac4f-4d67-4ccb-8f2d-06d665bdd521)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "image_ids = common.search_mapillary_images(\n",
    "    lon=-73.99941, lat=40.71194, radius=0.0005, limit=5\n",
    ")\n",
    "image_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "common.get_mapillary_image_url(image_ids[0], resolution=\"original\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "common.download_mapillary_images(image_ids, resolution=\"original\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "common.get_mapillary_image_widget(image_ids[0], style=\"classic\", width=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "common.get_mapillary_image_widget(image_ids[0], style=\"split\", width=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "common.get_mapillary_image_widget(image_ids[0], style=\"photo\", width=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = leafmap.Map(style=\"bright\", center=[-73.99941, 40.71194], zoom=13)\n",
    "m.add_basemap(\"Satellite\")\n",
    "m.add_mapillary(minzoom=6, maxzoom=14, add_popup=True)\n",
    "m.add_layer_control()\n",
    "widget = m.create_mapillary_widget(style=\"photo\", width=500)\n",
    "widget"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image](https://github.com/user-attachments/assets/a67a44ba-b15c-4916-9d88-14a744645364)"
   ]
  }
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