diff --git a/nerfstudio/engine/optimizers.py b/nerfstudio/engine/optimizers.py
index 8f9ac51a0..512908d2b 100644
--- a/nerfstudio/engine/optimizers.py
+++ b/nerfstudio/engine/optimizers.py
@@ -63,30 +63,6 @@ class RAdamOptimizerConfig(OptimizerConfig):
 
     _target: Type = torch.optim.RAdam
 
-
-def setup_optimizers(config: base_config.Config, param_groups: Dict[str, List[Parameter]]) -> "Optimizers":
-    """Helper to set up the optimizers
-
-    Args:
-        config: The trainer configuration object.
-        param_groups: A dictionary of parameter groups to optimize.
-
-    Returns:
-        The optimizers object.
-    """
-    optimizer_config = config.optimizers.copy()
-
-    # Add the camera optimizer if enabled.
-    camera_optimizer_config = config.pipeline.datamanager.camera_optimizer
-    if camera_optimizer_config.mode != "off":
-        assert camera_optimizer_config.param_group not in optimizer_config
-        optimizer_config[camera_optimizer_config.param_group + "_train"] = {
-            "optimizer": config.pipeline.datamanager.camera_optimizer.optimizer,
-            "scheduler": config.pipeline.datamanager.camera_optimizer.scheduler,
-        }
-    return Optimizers(optimizer_config, param_groups)
-
-
 class Optimizers:
     """A set of optimizers.
 
diff --git a/nerfstudio/engine/trainer.py b/nerfstudio/engine/trainer.py
index 244b0f411..0221316fe 100644
--- a/nerfstudio/engine/trainer.py
+++ b/nerfstudio/engine/trainer.py
@@ -144,10 +144,14 @@ class Trainer:
         param_groups = self.pipeline.get_param_groups()
         if camera_optimizer_config.mode != "off":
             assert camera_optimizer_config.param_group not in optimizer_config
-            optimizer_config[camera_optimizer_config.param_group] = {
+            optimizer_config[camera_optimizer_config.param_group + "_train"] = {
                 "optimizer": camera_optimizer_config.optimizer,
                 "scheduler": camera_optimizer_config.scheduler,
             }
+            # optimizer_config[camera_optimizer_config.param_group + "_eval"] = {
+            #     "optimizer": camera_optimizer_config.optimizer,
+            #     "scheduler": camera_optimizer_config.scheduler,
+            # }
         return Optimizers(optimizer_config, param_groups)
 
     def train(self) -> None:
diff --git a/nerfstudio/pipelines/base_pipeline.py b/nerfstudio/pipelines/base_pipeline.py
index 5e02f57e2..81f2dc3bc 100644
--- a/nerfstudio/pipelines/base_pipeline.py
+++ b/nerfstudio/pipelines/base_pipeline.py
@@ -411,6 +411,7 @@ class VanillaPipeline(Pipeline):
             state.pop("datamanager.train_camera_optimizer.pose_adjustment", None)
             state.pop("datamanager.train_ray_generator.image_coords", None)
             state.pop("datamanager.train_ray_generator.pose_optimizer.pose_adjustment", None)
+            state.pop("datamanager.eval_camera_optimizer.pose_adjustment", None)
             state.pop("datamanager.eval_ray_generator.image_coords", None)
             state.pop("datamanager.eval_ray_generator.pose_optimizer.pose_adjustment", None)
         self.load_state_dict(state)  # type: ignore
diff --git a/scripts/datasets/process_mipnerf360.py b/scripts/datasets/process_mipnerf360.py
index 5dea78706..e06210738 100644
--- a/scripts/datasets/process_mipnerf360.py
+++ b/scripts/datasets/process_mipnerf360.py
@@ -79,4 +79,10 @@ with Pool() as p:
 # the default method
 # DATASET="person" METHOD="nerfacto-default" && ns-train nerfacto --vis wandb --data "data/nerfstudio/${DATASET}" --wandb-name "${METHOD}-${DATASET}" --experiment-name "${METHOD}-${DATASET}"
 # without pose optimization
-# DATASET="person" METHOD="nerfacto-no-pose" && ns-train nerfacto --vis wandb --data "data/nerfstudio/${DATASET}" --wandb-name "${METHOD}-${DATASET}" --experiment-name "${METHOD}-${DATASET}" --pipeline.datamanager.camera-optimizer.mode off
+# DATASET="plane" METHOD="nerfacto-no-pose" && ns-train nerfacto --vis wandb --data "data/nerfstudio/${DATASET}" --wandb-name "${METHOD}-${DATASET}" --experiment-name "${METHOD}-${DATASET}" --pipeline.datamanager.camera-optimizer.mode off
+
+# debugging the evaluation method
+# --trainer.steps-per-eval-all-images 5000
+
+# --load-config outputs/nerfacto-no-pose-plane/nerfacto/2022-12-16_194940/config.yml
+# start train but run eval on all images at the start...