Adios mattport

scripts/benchmarking/launch_train_blender.sh

@@ -43,7 +43,7 @@ for dataset in ${DATASETS[@]}; do
            data.dataset.data_directory=data/blender/${dataset} \
            data.dataset.downscale_factor=1 \
            experiment_name=blender_${dataset}_${tag} \
-           graph.model_dir=mattport_models/ \
+           graph.model_dir=radiance_models/ \
            graph.steps_per_save=25000 \
            graph.max_num_iterations=2000000 \
            logging.enable_profiler=False &

scripts/benchmarking/run_benchmark.py

@@ -12,7 +12,7 @@ from hydra.core.global_hydra import GlobalHydra
 from omegaconf import DictConfig
 from tqdm import tqdm
 
-from mattport.nerf.trainer import Trainer
+from radiance.nerf.trainer import Trainer
 
 BENCH = {
     "method": "vanilla_nerf",

scripts/run_train.py

@@ -16,8 +16,8 @@ import torch.distributed as dist
 import torch.multiprocessing as mp
 from omegaconf import DictConfig
 
-from mattport.nerf.trainer import Trainer
-from mattport.utils import comms, profiler
+from radiance.nerf.trainer import Trainer
+from radiance.utils import comms, profiler
 from time import time
 
 logging.basicConfig(format="[%(filename)s:%(lineno)d] %(message)s", level=logging.DEBUG)