diff --git a/examples/11_colmap_visualizer.py b/examples/11_colmap_visualizer.py
index f7e5f729f..9caee82c5 100644
--- a/examples/11_colmap_visualizer.py
+++ b/examples/11_colmap_visualizer.py
@@ -3,6 +3,7 @@
 Visualize COLMAP sparse reconstruction outputs. To get demo data, see `./assets/download_colmap_garden.sh`.
 """
 
+import random
 import time
 from pathlib import Path
 
@@ -89,7 +90,7 @@ def visualize_colmap() -> None:
 
         # Interpret the images and cameras.
         img_ids = [im.id for im in images.values()]
-        onp.random.shuffle(img_ids)
+        random.shuffle(img_ids)
         img_ids = sorted(img_ids[: gui_frames.value])
 
         def attach_callback(
diff --git a/src/viser/extras/_record3d.py b/src/viser/extras/_record3d.py
index 02e4bb567..bd2a8a5fa 100644
--- a/src/viser/extras/_record3d.py
+++ b/src/viser/extras/_record3d.py
@@ -109,7 +109,9 @@ def get_point_cloud(
 
         img_wh = rgb.shape[:2][::-1]
 
-        grid = np.stack(np.meshgrid(range(img_wh[0]), range(img_wh[1])), 2) + 0.5
+        grid = (
+            np.stack(np.meshgrid(np.arange(img_wh[0]), np.arange(img_wh[1])), 2) + 0.5
+        )
         grid = grid * downsample_factor
 
         homo_grid = np.pad(grid[mask], ((0, 0), (0, 1)), constant_values=1)