compression benchmarks use full resolution for training

nerfstudio-project · Dec 16, 2024 · 9267421 · 9267421
1 parent 191a7d7
commit 9267421
Showing 1 changed file with 2 additions and 8 deletions.
diff --git a/examples/benchmarks/compression/mcmc.sh b/examples/benchmarks/compression/mcmc.sh
@@ -21,22 +21,16 @@ CAP_MAX=1000000
 
 for SCENE in $SCENE_LIST;
 do
-    if [ "$SCENE" = "bonsai" ] || [ "$SCENE" = "counter" ] || [ "$SCENE" = "kitchen" ] || [ "$SCENE" = "room" ]; then
-        DATA_FACTOR=2
-    else
-        DATA_FACTOR=4
-    fi
-
     echo "Running $SCENE"
 
     # train without eval
-    CUDA_VISIBLE_DEVICES=0 python simple_trainer.py mcmc --eval_steps -1 --disable_viewer --data_factor $DATA_FACTOR \
+    CUDA_VISIBLE_DEVICES=0 python simple_trainer.py mcmc --eval_steps -1 --disable_viewer --data_factor 1 \
         --strategy.cap-max $CAP_MAX \
         --data_dir $SCENE_DIR/$SCENE/ \
         --result_dir $RESULT_DIR/$SCENE/
 
     # eval: use vgg for lpips to align with other benchmarks
-    CUDA_VISIBLE_DEVICES=0 python simple_trainer.py mcmc --disable_viewer --data_factor $DATA_FACTOR \
+    CUDA_VISIBLE_DEVICES=0 python simple_trainer.py mcmc --disable_viewer --data_factor 1 \
         --strategy.cap-max $CAP_MAX \
         --data_dir $SCENE_DIR/$SCENE/ \
         --result_dir $RESULT_DIR/$SCENE/ \