4DGaussians/run.sh
2023-12-02 14:13:12 +08:00

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# bash scripts/process_dnerf.sh dnerf_ab/dnerf_tv_30000
# bash scripts/process_dnerf.sh dnerf_ab/dnerf_tv_depth2
# bash scripts/process_dnerf_2.sh dnerf_tv_dshs
# bash scripts/process_dnerf_2.sh dnerf_tv_do
# bash scripts/process_dnerf_2.sh dnerf_tv_2
# bash scripts/process_dnerf_2.sh dnerf_tv_8
# bash scripts/process_dnerf_2.sh dnerf_tv_deepmlp
# bash scripts/process_dnerf_2.sh dnerf_tv_nods
# bash scripts/process_dnerf.sh dnerf_ab/dnerf_tv
# exp_name1="hypernerf_3dgs"
# export CUDA_VISIBLE_DEVICES=2&&python render2.py --model_path "output/$exp_name1/3dprinter/" --skip_train --configs arguments/$exp_name1/3dprinter.py &
# export CUDA_VISIBLE_DEVICES=3&&python render2.py --model_path "output/$exp_name1/broom2/" --skip_train --configs arguments/$exp_name1/broom2.py &
# #
# wait
# export CUDA_VISIBLE_DEVICES=2&&python render2.py --model_path "output/$exp_name1/peel-banana/" --skip_train --configs arguments/$exp_name1/banana.py &
# export CUDA_VISIBLE_DEVICES=3&&python render2.py --model_path "output/$exp_name1/vrig-chicken/" --skip_train --configs arguments/$exp_name1/chicken.py &
# wait
# exp_name="hypernerf_3dgs"
# export CUDA_VISIBLE_DEVICES=2&&python metrics.py --model_path "output/$exp_name/vrig-chicken/" &
# export CUDA_VISIBLE_DEVICES=3&&python metrics.py --model_path "output/$exp_name/peel-banana/" &
# export CUDA_VISIBLE_DEVICES=2&&python metrics.py --model_path "output/$exp_name/broom2/" &
# export CUDA_VISIBLE_DEVICES=3&&python metrics.py --model_path "output/$exp_name/3dprinter/" &
# bash scripts/train_ablation.sh dnerf_tv_2_1
bash scripts/train_ablation.sh dnerf_tv_2_1_nodrds