diff --git a/nerfstudio/data/dataparsers/blender_dataparser.py b/nerfstudio/data/dataparsers/blender_dataparser.py
index f1044e826..b365f95cb 100644
--- a/nerfstudio/data/dataparsers/blender_dataparser.py
+++ b/nerfstudio/data/dataparsers/blender_dataparser.py
@@ -77,7 +77,7 @@ class Blender(DataParser):
             poses.append(np.array(frame["transform_matrix"]))
         poses = np.array(poses).astype(np.float32)
 
-        img_0 = imageio.imread(image_filenames[0])
+        img_0 = imageio.v2.imread(image_filenames[0])
         image_height, image_width = img_0.shape[:2]
         camera_angle_x = float(meta["camera_angle_x"])
         focal_length = 0.5 * image_width / np.tan(0.5 * camera_angle_x)
diff --git a/nerfstudio/utils/colormaps.py b/nerfstudio/utils/colormaps.py
index 19b5922ef..c714f88db 100644
--- a/nerfstudio/utils/colormaps.py
+++ b/nerfstudio/utils/colormaps.py
@@ -16,8 +16,8 @@
 
 from typing import Literal, Optional
 
+import matplotlib
 import torch
-from matplotlib import cm
 from torchtyping import TensorType
 
 from nerfstudio.utils import colors
@@ -88,7 +88,7 @@ def apply_float_colormap(
     if colormap == "default":
         colormap = "turbo"
 
-    colormap = cm.get_cmap(colormap)
+    colormap = matplotlib.colormaps[colormap]
     colormap = torch.tensor(colormap.colors).to(image.device)  # type: ignore
     image = torch.nan_to_num(image, 0)
     image_long = (image * 255).long()
diff --git a/pyproject.toml b/pyproject.toml
index 3b4d76647..9b09c6ef9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -46,7 +46,7 @@ dependencies = [
     "requests",
     "rich>=12.5.1",
     "scikit-image>=0.19.3",
-    "tensorboard==2.9.0",
+    "tensorboard>=2.13.0",
     "torch>=1.12.1,<2.0.0",
     "torchmetrics[image]>=0.9.3",
     "torchtyping>=0.1.4",