diff --git a/notebooks/fit_model_to_scene_full.ipynb b/notebooks/fit_model_to_scene_full.ipynb
index 09e6323..45df7d9 100644
--- a/notebooks/fit_model_to_scene_full.ipynb
+++ b/notebooks/fit_model_to_scene_full.ipynb
@@ -130,16 +130,21 @@
    "outputs": [],
    "source": [
     "PATH_TO_VIDEO = \"../assets/examples/video_fruits.mp4\"\n",
+    "perform_preprocessing = True\n",
+    "\n",
     "num_ref_views = 16 # how many frames you want to extract from video and colmap\n",
-    "if False:\n",
+    "num_corrs = 20000\n",
+    "\n",
+    "if perform_preprocessing:\n",
     "    # Full pipeline helpers\n",
+    "    import shutil \n",
     "    from gradio_demo import preprocess_input\n",
     "    from source.utils_preprocess import read_video_frames, preprocess_frames, select_optimal_frames, save_frames_to_scene_dir, run_colmap_on_scene\n",
     "    from source.visualization import generate_circular_camera_path, save_numpy_frames_as_mp4, generate_fully_smooth_cameras_with_tsp, put_text_on_image\n",
     "    # Change to your path\n",
     "    images, scene_dir = preprocess_input(PATH_TO_VIDEO, num_ref_views, num_corrs)\n",
-    "    shutil.copytree(scene_dir, '../assets/video_colmaped',  dirs_exist_ok=True)\n",
-    "    \n"
+    "    os.makedirs('.../assets/video_colmaped', exist_ok=True)\n",
+    "    shutil.copytree(scene_dir, '../assets/video_colmaped',  dirs_exist_ok=True)"
    ]
   },
   {