XJay18
XJay18
Hi, it seems that the loaded point cloud data is not the provided one. From the above logs, it is found ``` ... point_cloud_path=PosixPath('/mnt/data/Lightning-NeRF/argo/nerf_data/2aea7bd1-432a-43c5-9445-651102487f65/pcd .ply'), ... [13:51:00] Load vertices: torch.Size([517136,...
Hi, thank you for your question. I think this may result from (1) a lack of point cloud data for objects in the background scene box and (2) a limited...
Hi, sorry for the late reply. Please check the discussion [here](https://github.com/VISION-SJTU/RECCE/issues/3#issuecomment-1196766596) for the framerate. Thanks!
Thanks to the authors! I also want to get access to your data. Could you kindly grant me access to download your processed dataset?
您好,您可以将config文件中的`resume`设置为`True`(训练过程中读取该值的位置在[这里](https://github.com/VISION-SJTU/RECCE/blob/58cabeb7a0fef31a202334ff0b8f2a285e69d393/trainer/exp_mgpu_trainer.py#L152-L153)),然后在Trainer中实现一下`_load_ckpt`[这个函数](https://github.com/VISION-SJTU/RECCE/blob/58cabeb7a0fef31a202334ff0b8f2a285e69d393/trainer/exp_mgpu_trainer.py#L159-L161)以加载对应权重继续训练。
Hi, it has been a long time since the code deployment, and I currently do not have a similar environment for this project. However, I think you may try the...
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Hi, please refer to this issue #1 .
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@HMWABY Hi, please check your email. I just sent the links for the preprocessed datasets.