Hi,
when I try to train dtu data without prior, I found that the result of bakedangelo is bad, even worse than volsdf. I want to know whether this data (without prior) is not good enough, or there is something wrong with my training command.
My bakedangelo training command is ns-train bakedangelo --machine.num-gpus 1 --pipeline.model.level-init 8 --trainer.steps-per-eval-image 5000 --pipeline.datamanager.train-num-rays-per-batch 2048 --pipeline.datamanager.eval-num-rays-per-batch 512 --pipeline.model.sdf-field.use-appearance-embedding True --trainer.save-only-latest-checkpoint False --pipeline.model.background-color white --pipeline.model.sdf-field.bias 0.1 --pipeline.model.sdf-field.inside-outside True --pipeline.model.background-model grid --vis wandb --experiment-name scan55_bakedangelo sdfstudio-data --data data/dtu/scan55,
and the results is
Its depth and normal results are bad.
My volsdf training command is volsdf --machine.num-gpus 1 --pipeline.model.background-color white --pipeline.model.sdf-field.inside-outside True --trainer.load-dir outputs/scan55-volsdf/volsdf/2024-03-16_115658/sdfstudio_models --trainer.max-num-iterations 100001 --vis wandb --experiment-name scan55-volsdf sdfstudio-data --data data/dtu/scan55,
and the results is
BTW, the meta_data.json of this dtu data(scan55) is
Hi, when I try to train dtu data without prior, I found that the result of bakedangelo is bad, even worse than volsdf. I want to know whether this data (without prior) is not good enough, or there is something wrong with my training command.
My bakedangelo training command is
Its depth and normal results are bad.
ns-train bakedangelo --machine.num-gpus 1 --pipeline.model.level-init 8 --trainer.steps-per-eval-image 5000 --pipeline.datamanager.train-num-rays-per-batch 2048 --pipeline.datamanager.eval-num-rays-per-batch 512 --pipeline.model.sdf-field.use-appearance-embedding True --trainer.save-only-latest-checkpoint False --pipeline.model.background-color white --pipeline.model.sdf-field.bias 0.1 --pipeline.model.sdf-field.inside-outside True --pipeline.model.background-model grid --vis wandb --experiment-name scan55_bakedangelo sdfstudio-data --data data/dtu/scan55, and the results isMy volsdf training command is
volsdf --machine.num-gpus 1 --pipeline.model.background-color white --pipeline.model.sdf-field.inside-outside True --trainer.load-dir outputs/scan55-volsdf/volsdf/2024-03-16_115658/sdfstudio_models --trainer.max-num-iterations 100001 --vis wandb --experiment-name scan55-volsdf sdfstudio-data --data data/dtu/scan55, and the results isBTW, the meta_data.json of this dtu data(scan55) is