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evaluate_all.sh
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evaluate_all.sh
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# BAIR action-free robot pushing dataset
dataset=bair_action_free
for method_dir in \
ours_vae_gan \
ours_gan \
ours_vae_l1 \
ours_vae_l2 \
ours_deterministic_l1 \
ours_deterministic_l2 \
sv2p_time_invariant \
; do
CUDA_VISIBLE_DEVICES=0 python scripts/evaluate.py --input_dir data/bair --dataset_hparams sequence_length=30 --checkpoint models/${dataset}/${method_dir} --mode test --results_dir results_test/${dataset} --batch_size 8
done
# KTH human actions dataset
# use batch_size=1 to ensure reproducibility when sampling subclips within a sequence
dataset=kth
for method_dir in \
ours_vae_gan \
ours_gan \
ours_vae_l1 \
ours_deterministic_l1 \
ours_deterministic_l2 \
sv2p_time_variant \
sv2p_time_invariant \
; do
CUDA_VISIBLE_DEVICES=0 python scripts/evaluate.py --input_dir data/kth --dataset_hparams sequence_length=40 --checkpoint models/${dataset}/${method_dir} --mode test --results_dir results_test/${dataset} --batch_size 1
done
# BAIR action-conditioned robot pushing dataset
dataset=bair
for method_dir in \
ours_vae_gan \
ours_gan \
ours_vae_l1 \
ours_vae_l2 \
ours_deterministic_l1 \
ours_deterministic_l2 \
sna_l1 \
sna_l2 \
sv2p_time_variant \
; do
CUDA_VISIBLE_DEVICES=1 python scripts/evaluate.py --input_dir data/bair --dataset_hparams sequence_length=30 --checkpoint models/${dataset}/${method_dir} --mode test --results_dir results_test/${dataset} --batch_size 8
done