Update SynthDet_Statistics.ipynb

Notebooks/SynthDet_Statistics.ipynb

@@ -8,7 +8,7 @@
     "This example notebook shows how to use datasetinsights to load synthetic datasets generated from the [Perception package](https://github.com/Unity-Technologies/com.unity.perception) and visualize dataset statistics. It includes statistics and visualizations of the outputs built into the Perception package and should give a good idea of how to use datasetinsights to visualize custom annotations and metrics.\n",
     "\n",
     "## Setup dataset\n",
-    "If the dataset was generated locally, point `data_root` below to the path of the dataset. Note: If you are on Windows and you use the \"Copy Path\" button on `Perception Camera` in Unity Editor to copy the dataset path, make sure to change the last path separator character from backslash ( \\ ) to slash ( / )."
+    "If the dataset was generated locally, replace `<dataset_path>` below with the path of the dataset. Note: If using a Linux/Unix based OS, make sure spaces in the dataset path are **not** escaped with a backslash."
    ]
   },
   {
@@ -19,7 +19,7 @@
    },
    "outputs": [],
    "source": [
-    "data_root = \"<dataset_path>\""
+    "data_root = r\"<dataset_path>\""
    ]
   },
   {
@@ -1537,9 +1537,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "notebook",
    "language": "python",
-   "name": "notebook"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1551,7 +1549,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.10"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,