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Hi! Thanks for this awesome project. I trying to train dnsplatter,using custom data collected with an Orbber femto camera. Contain RGB and depth images.
And then I used Spectacular AI SDK processed data.
Finally, I run ns-train dn-splatter --pipeline.model.use-depth-loss True --pipeline.model.sensor-depth-lambda 0.2 --pipeline.model.use-depth-smooth-loss True --pipeline.model.use-sparse-loss True normal-nerfstudio --data Orbber_femto/ --load-normals False
``
Hi @ddenglina, I have not tried dn-splatter with Orbber femto camera before. Can you send me the processed dataset so I can have a try? (google drive or something maybe). Thanks.
Hi @ddenglina, I have not tried dn-splatter with Orbber femto camera before. Can you send me the processed dataset so I can have a try? (google drive or something maybe). Thanks.
Hi! Thanks for this awesome project. I trying to train dnsplatter,using custom data collected with an Orbber femto camera. Contain RGB and depth images.
And then I used Spectacular AI SDK processed data.
Finally, I run
ns-train dn-splatter --pipeline.model.use-depth-loss True --pipeline.model.sensor-depth-lambda 0.2 --pipeline.model.use-depth-smooth-loss True --pipeline.model.use-sparse-loss True normal-nerfstudio --data Orbber_femto/ --load-normals False
``
gs-mesh dn --load-config outputs/unnamed/dn-splatter/2024-07-31_032623/config.yml --output-dir outputs/unnamed/dn-splatter/2024-07-31_032623/possion_tsdf
The mesh result is so bad.
Whether I need to set any parameters, I have not changed them.
Looking forward to your reply!
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