LightwheelAI / street-gaussians-ns

Unofficial implementation of "Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting", ECCV2024.
Apache License 2.0
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Regarding the rendering quality #32

Open gentleman-zhong opened 2 months ago

gentleman-zhong commented 2 months ago

Thank you for your open source work! I can render well with one camera, but when I use three cameras, the problem shown in the image occurs. And the problem does not only occur in this scene, but also in other scenes. After a while, the problem of the first picture disappeared and the rendering result appeared normal. What is the reason? image image

m15310926778 commented 2 months ago

May I ask how to use three cameras for training?Thanks

gentleman-zhong commented 2 months ago

May I ask how to use three cameras for training?Thanks

There are parameters in the configuration file to choose the camera you want to use image

mzlchou commented 1 month ago

May I ask how to use three cameras for training?Thanks

There are parameters in the configuration file to choose the camera you want to use image

Is this the sgn_config.py file? It didn't work for me when adding that, how did you do it?

m15310926778 commented 1 month ago

image You can directly change the configuration in train.sh @mzlchou

mzlchou commented 1 month ago

image You can directly change the configuration in train.sh @mzlchou

Ok I got it to work sometimes, did you ever get this error?: This is when using cameras 3 4 and 5. 1 and 2 seem to work fine.

sgn_datamanager.py", line 118, in init assert len(self.train_unseen_cameras) > 0, "No data found in dataset" AssertionError: No data found in dataset

lziiid commented 1 month ago

image You can directly change the configuration in train.sh @mzlchou

Ok I got it to work sometimes, did you ever get this error?: This is when using cameras 3 4 and 5. 1 and 2 seem to work fine.

sgn_datamanager.py", line 118, in init assert len(self.train_unseen_cameras) > 0, "No data found in dataset" AssertionError: No data found in dataset

I encountered the same error, but I used camera 1, which is the default configuration. Did you solve this problem?