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Hi
I am trying to train the model on my custom data, run python3 apps/calibration/read_colmap.py ../../data/xx/sparse/0 --min_views 2 firstly, then got some errors when training, command is python3 apps/train.py --cfg config/example/test/train.yml split train
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
[LoG] base iteration 1000 done, enable view_correction module
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
visible points: 0
[182999: 32999/550000] 519.0s loss: 0.0529 model Gaussian 4 points
radius [0.2000~0.2000~0.2000]
opacity: 0.97, 0 < 0.05, 0 < 0.1,
[LoG] 0 points with weight < 0.10
[LoG] 0 points with weight is non max
[LoG] 1 points with radius < 4.00
[LoG] radii_max_act 4 [38.00000~73.25000+28.19427~107.00000]
[LoG] grad 4 [0.00096~0.00145+0.00035~0.00171]
[LoG] split by grad : 0
[LoG] split by radii: 0
return f'{name:10s} {data.shape[0]:8d} [{data.min().item():.5f}~{data.float().mean().item():.5f}+{data.float().std().item():.5f}~{data.max().item():.5f}]'
RuntimeError: min(): Expected reduction dim to be specified for input.numel() == 0. Specify the reduction dim with the 'dim' argument.
The text was updated successfully, but these errors were encountered:
Hi
I am trying to train the model on my custom data, run
python3 apps/calibration/read_colmap.py ../../data/xx/sparse/0 --min_views 2
firstly, then got some errors when training, command ispython3 apps/train.py --cfg config/example/test/train.yml split train
The text was updated successfully, but these errors were encountered: