Comments (3)
Can you please be more precise? Which script are you running? Which data are you using? Did you modify the code in any way?
We use floating point precision everywhere and therefore both model parameters and data are represented as torch.float32
.
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Thank you very much for your response. The issue occurred when I ran the visualization, as shown in the image below. I haven't modified the code; I'm using the SemanticKITTI dataset.The problem also occurred in MotionSeg3D.
from 4dmos.
Well, then it is a problem of the SemanticKITTI visualizer and not of 4DMOS. Can you please open an issue there?
Best
Benedikt
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Related Issues (20)
- Custom visualization - mismatch data shape HOT 1
- Does using closed loop poses have a significant impact on recognition results? HOT 4
- Inference problem HOT 2
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