diff --git a/pytorch3d/datasets/r2n2/r2n2.py b/pytorch3d/datasets/r2n2/r2n2.py
index a7bb604e..8cce67c6 100644
--- a/pytorch3d/datasets/r2n2/r2n2.py
+++ b/pytorch3d/datasets/r2n2/r2n2.py
@@ -55,9 +55,9 @@ class R2N2(ShapeNetBase):  # pragma: no cover
     def __init__(
         self,
         split: str,
-        shapenet_dir,
-        r2n2_dir,
-        splits_file,
+        shapenet_dir: str,
+        r2n2_dir: str,
+        splits_file: str,
         return_all_views: bool = True,
         return_voxels: bool = False,
         views_rel_path: str = "ShapeNetRendering",
@@ -70,9 +70,9 @@ class R2N2(ShapeNetBase):  # pragma: no cover
 
         Args:
             split (str): One of (train, val, test).
-            shapenet_dir (path): Path to ShapeNet core v1.
-            r2n2_dir (path): Path to the R2N2 dataset.
-            splits_file (path): File containing the train/val/test splits.
+            shapenet_dir (str): Path to ShapeNet core v1.
+            r2n2_dir (str): Path to the R2N2 dataset.
+            splits_file (str): File containing the train/val/test splits.
             return_all_views (bool): Indicator of whether or not to load all the views in
                 the split. If set to False, one of the views in the split will be randomly
                 selected and loaded.
diff --git a/pytorch3d/datasets/r2n2/utils.py b/pytorch3d/datasets/r2n2/utils.py
index a8da0fdf..c5b5f394 100644
--- a/pytorch3d/datasets/r2n2/utils.py
+++ b/pytorch3d/datasets/r2n2/utils.py
@@ -459,6 +459,12 @@ class BlenderCamera(CamerasBase):  # pragma: no cover
         transform._matrix = self.K.transpose(1, 2).contiguous()
         return transform
 
+    def is_perspective(self):
+        return False
+
+    def in_ndc(self):
+        return True
+
 
 def render_cubified_voxels(
     voxels: torch.Tensor, shader_type=HardPhongShader, device: Device = "cpu", **kwargs