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Dear Authors,
Thank you for sharing your research.
I have some issue when running your code on the n3v dataset, where some scenes produce unexpected results.
I followed the dataset preparation steps following the readme file and run the code as follow:
for SCENE in {coffee_martini_wo_cam13,cook_spinach,cut_roasted_beef,flame_salmon_frag1,flame_steak,sear_steak}
do
python opt.py -t pretrained/${SCENE} data/${SCENE}/frames/0000 \
-c configs/n3dv_init.json --offset 500 --scale 0.5 --nosphereinit
python train_video_n3dv_pilot.py -t outputs/${SCENE} data/${SCENE}/frames \
-c configs/n3dv.json --batch_size 20000 --pretrained pretrained/${SCENE}/ckpt.npz --n_iters 750 --lr_sigma 1.0 \
--lr_sigma_final 1.0 --lr_sh 1e-2 --lr_sh_final 1e-3 --lr_sigma_decay_steps 750 --lr_sh_decay_steps 750 \
--frame_end 300 --fps 30 --train_use_all 0 --offset 750 --scale 0.5 --sh_keep_thres 0.5 --sh_prune_thres 0.1 \
--performance_mode --dilate_rate_before 1 --dilate_rate_after 1 --stop_thres 0.01 --compress_saving \
--save_delta --pilot_factor 2
python train_video_n3dv_full.py -t outputs/${SCENE} data/${SCENE}/frames \
-c configs/n3dv_full.json --batch_size 20000 --pretrained pretrained/${SCENE}/ckpt.npz --n_iters 500 \
--lr_sigma 1.0 --lr_sigma_final 1.0 --lr_sh 1e-2 --lr_sh_final 3e-3 --lr_sigma_decay_steps 500 \
--lr_sh_decay_steps 300 --frame_end 300 --fps 30 --train_use_all 0 --offset 1500 --scale 0.5 --sh_keep_thres 1.0 \
--sh_prune_thres 0.2 --performance_mode --dilate_rate_before 2 --dilate_rate_after 2 --stop_thres 0.01 \
--compress_saving --save_delta --apply_narrow_band
done
While the pilot results looks good, the full_model training fails as follow:
coffee_martini_wo_cam13_pilot.mp4
coffee_martini_wo_cam13_full.mp4
I also included the full_model logs below.
log_full.log
Please let me know if there is a mistake.
Thank you for your assistance.
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