train stop at Number of points at initialisation , not continue

[goometasoft]

thank your DNGaussian , i like it very much !

windows-11 , cuda-11.8 , pytorch-2.2

python train_llff.py  ^
-s E:\AI\A28\240316\win_cuda118\input\TaiDi_1280_35=5x7 ^
--model_path E:\AI\A28\240316\win_cuda118\input\TaiDi_1280_35=5x7\output ^
-r 1 --n_sparse -1  --rand_pcd --iterations 6000 --lambda_dssim 0.2 ^
--densify_grad_threshold 0.0013 --prune_threshold 0.01 --densify_until_iter 6000 --percent_dense 0.01 ^
--position_lr_init 0.016 --position_lr_final 0.00016 --position_lr_max_steps 5500 --position_lr_start 500 ^
--split_opacity_thresh 0.1 --error_tolerance 0.001 --scaling_lr 0.003 --shape_pena 0.002 --opa_pena 0.001 --near 10

Launch TensorBoard
Optimizing E:\AI\A28\240316\win_cuda118\input\TaiDi_1280_35=5x7\output
Output folder: E:\AI\A28\240316\win_cuda118\input\TaiDi_1280_35=5x7\output [25/03 13:45:41]
Reading camera 35/35 [25/03 13:45:42]
train [ all images..] [25/03 13:45:42]
eval [] [25/03 13:45:42]
Init random point cloud. [25/03 13:45:42]
[14.11190049 15.89008596 25.18116638] [-43.88950791 -33.10698416 -11.5085673 ] [25/03 13:45:42]
[58.00140841 48.99707012 36.68973367] [25/03 13:45:42]
Generating random point cloud (2900)... [25/03 13:45:42]
Loading Training Cameras [1.0] [25/03 13:45:42]
Loading Test Cameras [1.0] [25/03 13:45:45]
Loading Eval Cameras [1.0] [25/03 13:45:45]
Number of points at initialisation :  2900 [25/03 13:45:45]
....

train stop , not continue

[Fictionarry]

Hi, sorry for replying late! Have you solved this problem? If this is the first time to run the code, it may take several minutes to install dependent libs.

[One-coder-gzh]

I have the same problem.How can I deal with it?