Comments (8)
mli0603
commented on June 30, 2024
Hi @xiemeilong
Thanks for reporting this. This is indeed odd and unexpected. To narrow down the problem, could you help by providing the following information?
- Do you use the same preprocessing steps for both implementations? If not, could you point me to the preprocessing step in sdfstudio?
- Can you share configs/commands for both implementations? This helps me to compare the hyperparameters if there are differences.
- Can you share the mesh extraction command for both implementations?
Thank you!
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chenhsuanlin
commented on June 30, 2024
Hi @xiemeilong, in addition to the above @mli0603 mentioned, we also have a fix (#41) on the scripts. If you were extracting the mesh from an earlier checkpoint, please pull again and let us know if the issue persists. Thanks!
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zz7379
commented on June 30, 2024
same poor mesh too
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xiemeilong
commented on June 30, 2024
@chenhsuanlin It still does not work with the latest code.
preprocessing cmd in neuralangelo:
bash projects/neuralangelo/scripts/run_colmap.sh ../data/neuralangelo/tangtou
python3 projects/neuralangelo/scripts/convert_data_to_json.py --data_dir ~/labs/data/neuralangelo/tangtou/dense --scene_type outdoor
python3 projects/neuralangelo/scripts/generate_config.py --experiment_name tangtou --data_dir ~/labs/data/neuralangelo/tangtou/dense/ --auto_exposure_wb
preprocessing cmd in sdfstudio:
ns-process-data images --data tangtou --output-dir nerfstudio/tangtou --num-downscales 2
train command in neuralangelo：
torchrun --nproc_per_node=1 train.py --logdir=logs/my/tangtou --config=/home/xxx/labs/neuralangelo/projects/neuralangelo/configs/custom/tangtou.yaml --show_pbar
train command in sdfstudio, I am using the same test prompts as the author of sdfstudio, not the pure neuralangelo algorithm:
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 --pipeline.model.background-color white --pipeline.model.sdf-field.bias 0.1 --pipeline.model.sdf-field.inside-outside False --pipeline.model.background-model grid nerfstudio-data --data data/nerfstudio/tangtou
extract command in neuralangelo:
torchrun --nproc_per_node=1 projects/neuralangelo/scripts/extract_mesh.py \
--config=/home/xxx/labs/neuralangelo/projects/neuralangelo/configs/custom/tangtou.yaml \
--checkpoint=logs/my/tangtou/epoch_01736_iteration_000500000_checkpoint.pt \
--output_file=tangtou.ply \
--resolution=2048 \
--block_res=128
extract command in sdfstudio:
ns-extract-mesh --load-config outputs/nerfstudio-tangtousimple/bakedangelo/2023-07-30_123845/config.yml --output-path meshes/tangtousimple.ply --resolution 2048 --marching_cube_threshold 0.001 --create_visibility_mask True
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chenhsuanlin
commented on June 30, 2024
@xiemeilong @zz7379 we have pushed an update to main yesterday that fixed a checkpoint issue which may be related. Could you pull and try running the pipeline again? Please let me know if there are further issues with the latest code.
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xiemeilong
commented on June 30, 2024
@chenhsuanlin The latest version still doesn't work.
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iam-machine
commented on June 30, 2024
@xiemeilong Hi :) Do you still have good results in Neuralangelo in sdfstudio and bad results in official Neuralangelo?
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xiemeilong
commented on June 30, 2024
@iam-machine I did not do any more testing.
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