Update view example

Author: twsl

notebooks/view.ipynb

@@ -6,7 +6,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install fiftyone"
+    "%pip install fiftyone notebook ipywidgets"
    ]
   },
   {
@@ -15,28 +15,46 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import fiftyone as fo  # pyright: ignore[reportMissingImports]\n",
-    "import fiftyone.zoo as foz  # pyright: ignore[reportMissingImports]\n",
+    "import fiftyone as fo\n",
     "\n",
-    "# List available zoo datasets\n",
-    "print(foz.list_zoo_datasets())\n",
+    "datasets = fo.list_datasets()\n",
     "\n",
-    "#\n",
-    "# Load the COCO-2017 validation split into a FiftyOne dataset\n",
-    "#\n",
-    "# This will download the dataset from the web, if necessary\n",
-    "#\n",
-    "dataset = foz.load_zoo_dataset(\n",
-    "    \"coco-2017\", split=\"validation\", label_types=[\"segmentations\"], shuffle=True, max_samples=500\n",
-    ")\n",
+    "# Delete each dataset\n",
+    "for dataset_name in datasets:\n",
+    "    fo.delete_dataset(dataset_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import fiftyone as fo\n",
+    "from fiftyone.types.dataset_types import COCODetectionDataset\n",
+    "import fiftyone.zoo as foz\n",
     "\n",
-    "# Give the dataset a new name, and make it persistent so that you can\n",
-    "# work with it in future sessions\n",
-    "# dataset.name = \"coco-2017-validation-seg-example-50\"\n",
-    "# dataset.persistent = True\n",
+    "data_path = \"/workspaces/pytorchcocotools/data/images/train2017\"\n",
+    "labels_path = \"/workspaces/pytorchcocotools/data/annotations/instances_train2017.json\"\n",
     "\n",
-    "# Visualize the in the App\n",
-    "session = fo.launch_app(dataset)"
+    "# Create the dataset\n",
+    "dataset = fo.Dataset.from_dir(\n",
+    "    dataset_type=COCODetectionDataset,\n",
+    "    data_path=data_path,\n",
+    "    labels_path=labels_path,\n",
+    "    name=\"my-coco-train-2017-kps\",\n",
+    "    max_samples=5000,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "session = fo.launch_app(dataset, address=\"0.0.0.0\")  # pyright: ignore[reportArgumentType]  # noqa: S104\n",
+    "session"
    ]
   }
  ],
@@ -56,7 +74,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,