diff --git a/notebooks/video_predictor_example.ipynb b/notebooks/video_predictor_example.ipynb
index 1301a5322..093489107 100644
--- a/notebooks/video_predictor_example.ipynb
+++ b/notebooks/video_predictor_example.ipynb
@@ -1401,6 +1401,62 @@
     "        show_mask(out_mask, plt.gca(), obj_id=out_obj_id)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "f37870b9",
+   "metadata": {},
+   "source": [
+    "<br>\n",
+    "\n",
+    "### Save the Segmented Frames and Create a Video"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aa0e361b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import cv2\n",
+    "import numpy as np\n",
+    "from PIL import Image\n",
+    "\n",
+    "# Define video writer\n",
+    "h, w = Image.open(os.path.join(video_dir, frame_names[0])).size[::-1]  # (height, width)\n",
+    "out = cv2.VideoWriter(\"segmented_output.mp4\", cv2.VideoWriter_fourcc(*\"mp4v\"), 25, (w, h))\n",
+    "\n",
+    "# Loop through all frames in order\n",
+    "for out_frame_idx in range(len(frame_names)):\n",
+    "    # Load original frame\n",
+    "    frame_path = os.path.join(video_dir, frame_names[out_frame_idx])\n",
+    "    frame = np.array(Image.open(frame_path).convert(\"RGB\"))\n",
+    "\n",
+    "    # Convert to BGR for OpenCV\n",
+    "    frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)\n",
+    "\n",
+    "    # If we have segmentation results for this frame\n",
+    "    if out_frame_idx in video_segments:\n",
+    "        for out_obj_id, out_mask in video_segments[out_frame_idx].items():\n",
+    "            # Convert mask to uint8\n",
+    "            mask = (out_mask.astype(np.uint8) * 255)\n",
+    "\n",
+    "            # Blue mask\n",
+    "            colored_mask = np.zeros_like(frame, dtype=np.uint8)\n",
+    "            colored_mask[:, :, 0] = mask  # Blue channel\n",
+    "            colored_mask[:, :, 1] = 0     # Green channel\n",
+    "            colored_mask[:, :, 2] = 0     # Red channel\n",
+    "\n",
+    "            # Blend with original frame (alpha blending)\n",
+    "            frame = cv2.addWeighted(frame, 1.0, colored_mask, 0.5, 0)\n",
+    "\n",
+    "    # Write frame to video\n",
+    "    out.write(frame)\n",
+    "\n",
+    "out.release()\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "18a0b9d7-c78f-432b-afb0-11f2ea5b652a",
@@ -1414,7 +1470,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "sam2",
    "language": "python",
    "name": "python3"
   },
@@ -1428,7 +1484,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.18"
   }
  },
  "nbformat": 4,