updating scripts; compatible with pipeline refactor (#278)

nerfactory/dataloaders/base.py

@@ -222,7 +222,6 @@ class VanillaDataloader(Dataloader):  # pylint: disable=abstract-method
 @profiler.time_function
 def setup_dataloader(config: DataloaderConfig, device: str, test_mode=False) -> Dataloader:
     """Setup the dataloader."""
-
     dataset_train = instantiate_from_dict_config(config.train_dataset)
     train_datasetinputs = dataset_train.get_dataset_inputs(split="train")
     if config.eval_dataset is not None:

nerfactory/utils/config.py

@@ -71,7 +71,7 @@ class DataloaderConfig:
     train_num_rays_per_batch: int = MISSING
     train_num_images_to_sample_from: int = MISSING
     eval_dataset: Optional[Dict[str, Any]] = None
-    eval_image_indices: List[int] = MISSING
+    eval_image_indices: Optional[List[int]] = None
     eval_num_rays_per_chunk: int = MISSING
 
 
@@ -141,7 +141,11 @@ def setup_config(config: DictConfig) -> Config:
     trainer = TrainerConfig(**config.trainer)
     experiment_name = config.experiment_name
     method_name = config.method_name
-    pipeline = PipelineConfig(**config.pipeline)
+    dataloader = DataloaderConfig(**config.pipeline.dataloader)
+    model = ModelConfig(**config.pipeline.model)
+    pipeline = PipelineConfig(
+        _target_=config.pipeline._target_, dataloader=dataloader, model=model  # pylint:disable=protected-access
+    )
     optimizers = config.optimizers
     viewer = ViewerConfig(**config.viewer)