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train_base.sh
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41 lines (39 loc) · 4.65 KB
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CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=bicycle python train.py -s ./datasets/mipnerf360/bicycle -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --grad_abs_thresh 0.0012
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=flowers python train.py -s ./datasets/mipnerf360/flowers -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --dense 0.005 --grad_abs_thresh 0.0015
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=garden python train.py -s ./datasets/mipnerf360/garden -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.02 --loss_thresh 0.06 --grad_abs_thresh 0.0008
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=stump python train.py -s ./datasets/mipnerf360/stump -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --dense 0.004 --grad_abs_thresh 0.0015
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=treehill python train.py -s ./datasets/mipnerf360/treehill -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --dense 0.01 --grad_abs_thresh 0.002
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=room python train.py -s ./datasets/mipnerf360/room -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.02 --grad_abs_thresh 0.0008
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=counter python train.py -s ./datasets/mipnerf360/counter -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.02 --grad_abs_thresh 0.0008
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=kitchen python train.py -s ./datasets/mipnerf360/kitchen -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.02 --grad_abs_thresh 0.0006
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=bonsai python train.py -s ./datasets/mipnerf360/bonsai -i images --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.02 --grad_abs_thresh 0.0006
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=truck python train.py -s ./datasets/tanksandtemples/truck --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.04 --grad_abs_thresh 0.0009 --mult 0.7
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=train python train.py -s ./datasets/tanksandtemples/train --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.042 --grad_abs_thresh 0.0015 --dense 0.01 --mult 0.7
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=playroom python train.py -s ./datasets/db/playroom --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.0015 --dense 0.003 --mult 0.7
CUDA_VISIBLE_DEVICES=0 OAR_JOB_ID=drjohnson python train.py -s ./datasets/db/drjohnson --eval --densification_interval 500 --optimizer_type default --test_iterations 30000 --highfeature_lr 0.0025 --grad_abs_thresh 0.0012 --dense 0.013 --mult 0.7
CUDA_VISIBLE_DEVICES=0 python render.py -m output/bicycle --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/flowers --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/garden --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/stump --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/treehill --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/room --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/counter --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/kitchen --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/bonsai --skip_train
CUDA_VISIBLE_DEVICES=0 python render.py -m output/truck --skip_train --mult 0.7
CUDA_VISIBLE_DEVICES=0 python render.py -m output/train --skip_train --mult 0.7
CUDA_VISIBLE_DEVICES=0 python render.py -m output/playroom --skip_train --mult 0.7
CUDA_VISIBLE_DEVICES=0 python render.py -m output/drjohnson --skip_train --mult 0.7
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/bicycle
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/flowers
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/garden
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/stump
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/treehill
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/room
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/counter
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/kitchen
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/bonsai
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/truck
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/train
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/playroom
CUDA_VISIBLE_DEVICES=0 python metrics.py -m output/drjohnson