NeuralRecon
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no valid points: scale 0
When I run the example data , the error is no valid points: scale 0
.
My environment is
- RTX3090, torch 1.8+cu111, cuda11.1. (I try use the torch 1.6.0, but RTX3090 not match it. )
- The torchsparse is install by rebuild.
- repo commit is
cd047e2356f68f60adfb923f33572d712f64b57a (HEAD -> master, origin/master, origin/HEAD)
The run code is
python3 demo.py --cfg ./config/demo.yaml
The log is:
2022-02-07 16:15:15.152 | INFO | __main__:<module>:35 - Found SyncedPoses.txt, skipping data pre-processing...
2022-02-07 16:15:15.152 | INFO | __main__:<module>:37 - Running NeuralRecon...
2022-02-07 16:15:15.154 | INFO | __main__:<module>:50 - Initializing the model on GPU...
2022-02-07 16:15:17.009 | INFO | __main__:<module>:58 - Resuming from ./checkpoints/model_000047.ckpt
2022-02-07 16:15:17.104 | INFO | __main__:<module>:64 - Start inference..
0%| | 0/110 [00:00<?, ?it/s]2022-02-07 16:15:17.527 | WARNING | models.neucon_network:forward:184 - no valid points: scale 0
1%|█▍ | 1/110 [00:00<00:46, 2.32it/s]2022-02-07 16:15:17.590 | WARNING | models.neucon_network:forward:184 - no valid points: scale 0
2022-02-07 16:15:17.654 | WARNING | models.neucon_network:forward:184 - no valid points: scale 0
3%|████▍ | 3/110 [00:00<00:16, 6.30it/s]
@vvcatstar I run into same issue. Do you find any solution?
+1
I carefully check the source code. This is due to torchsparse package. Under current setup, neuralrecon with torchsparse dependency can only work on cuda 10.2 and 11.1 or cpu mode.
@vvcatstar based on https://github.com/mit-han-lab/torchsparse/blob/HEAD/docs/FAQ.md you can setup and it will run; it's worked for me