Update IPPN workshop notebook (#331)

Author: giswqs

docs/workshops/IPPN_2024.ipynb

@@ -9,9 +9,9 @@
    "source": [
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/workshops/IPPN_2024.ipynb)\n",
     "\n",
-    "**Open Source Pipeline for UAS and satellite based High Throughput Phenotyping Applications**\n",
+    "**Open Source Pipeline for UAS and satellite based High Throughput Phenotyping Applications - Part 1**\n",
     "\n",
-    "This notebook is designed for workshop presented at the [International Plant Phenotyping Network (IPPN)](https://www.plant-phenotyping.org/ipps8) conference on October 7, 2024. Click the **Open in Colab** button above to run this notebook interactively in the cloud.\n",
+    "This notebook is designed for workshop presented at the [International Plant Phenotyping Network (IPPN)](https://www.plant-phenotyping.org/ipps8) conference on October 7, 2024. Click the **Open in Colab** button above to run this notebook interactively in the cloud. For Part 2 of the workshop, please click [here](https://geemap.org/workshops/IPPN_2024/).\n",
     "\n",
     "-   Registration: <https://www.plant-phenotyping.org/index.php?index=935>\n",
     "-   Notebook: <https://samgeo.gishub.org/workshops/IPPN_2024>\n",
@@ -946,7 +946,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from samgeo import SamGeo2"
+    "from samgeo import SamGeo, SamGeo2"
    ]
   },
   {
@@ -1212,14 +1212,120 @@
     "    label2=\"Image Segmentation\",\n",
     ")"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "105",
+   "metadata": {},
+   "source": [
+    "### Using box prompts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "106",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = leafmap.geojson_to_gdf(tree_boundaries)\n",
+    "gdf.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "107",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geojson = \"tree_boundaries.geojson\"\n",
+    "gdf.to_file(geojson)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "108",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m = leafmap.Map()\n",
+    "m.add_raster(image, layer_name=\"image\")\n",
+    "style = {\n",
+    "    \"color\": \"#ffff00\",\n",
+    "    \"weight\": 2,\n",
+    "    \"fillColor\": \"#7c4185\",\n",
+    "    \"fillOpacity\": 0,\n",
+    "}\n",
+    "m.add_vector(geojson, style=style, zoom_to_layer=True, layer_name=\"Bounding boxes\")\n",
+    "m"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "109",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sam = SamGeo(\n",
+    "    model_type=\"vit_h\",\n",
+    "    automatic=False,\n",
+    "    sam_kwargs=None,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "110",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sam.set_image(image)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "111",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sam.predict(\n",
+    "    boxes=geojson, point_crs=\"EPSG:4326\", output=\"tree_masks.tif\", dtype=\"uint16\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "112",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m.add_raster(\n",
+    "    \"tree_masks.tif\", cmap=\"jet\", nodata=0, opacity=0.5, layer_name=\"Tree masks\"\n",
+    ")\n",
+    "m"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "113",
+   "metadata": {},
+   "source": [
+    "![image](https://github.com/user-attachments/assets/0a9b794d-cf94-4e5c-9134-8799e67d338c)"
+   ]
   }
  ],
  "metadata": {
   "colab": {
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "sam",
    "language": "python",
    "name": "python3"
   },