updating scripts; compatible with pipeline refactor (#278)

scripts/benchmarking/launch_eval_blender.sh

@@ -63,7 +63,7 @@ for dataset in ${DATASETS[@]}; do
         --checkpoint-dir ${checkpoint_dir} \
         --rendered-output-name rgb \
         --output-filename ${output_dir}/${base_config_name}/blender_${dataset}_${month}-${date}-${year}_${seconds}.json \
-        --config-overrides data.dataset_inputs_train.data_directory=data/blender/${dataset} data.dataset_inputs_eval.data_directory=data/blender/${dataset} &
+        --config-overrides pipeline.dataloader.train_dataset.data_directory=data/blender/${dataset} &
     echo "Launched ${checkpoint_dir} on gpu ${GPU_IDX[$idx]}"
 
     # update gpu

scripts/benchmarking/launch_train_blender.sh

@@ -55,8 +55,7 @@ for dataset in ${DATASETS[@]}; do
     python scripts/run_train.py \
            --config-name ${config_name} \
            '~logging.writer.LocalWriter' \
-           data.dataset_inputs_train.data_directory=data/blender/${dataset} \
-           data.dataset_inputs_eval.data_directory=data/blender/${dataset} \
+           pipeline.dataloader.train_dataset.data_directory=data/blender/${dataset} \
            experiment_name=blender_${dataset}_${tag} \
            trainer.model_dir=nerfactory_models/ \
            trainer.steps_per_save=25000 \

scripts/run_eval.py

@@ -20,6 +20,7 @@ from nerfactory.cameras.camera_paths import (
 )
 from nerfactory.pipelines.base import Pipeline, setup_pipeline
 from nerfactory.utils import io as io_utils
+from nerfactory.utils.config import setup_config
 from nerfactory.utils.misc import human_format
 from nerfactory.utils.writer import TimeWriter
 
@@ -164,6 +165,7 @@ def main(
 
     config.trainer.resume_train.load_dir = checkpoint_dir
     config.pipeline.dataloader.eval_image_indices = None
+    config = setup_config(config)  # converting to typed config
 
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
     # setup pipeline (which includes the dataloaders)