Training big dataset scene is damaged

[gaojing418]

I used colmap to align 4000 2k pictures, the sparse model has 2.7 million points, I used postshot to train everything is fine, but I used Gsplat1.5.2 to train 200,000 steps, the scene seems to be fine in the beginning stage, and it is completely damaged after reaching 20,000 steps (CUDA_VISIBLE_DEVICES=0 python gsplat/examples/simple_trainer.py mcmc --data_dir /gz-data/ --data_factor 1 --eval-steps -1 --strategy.cap-max 3000000 --max-steps 200000 --save-steps 200000 --ply-steps 200000 --ply-steps 200000 --save-ply )

https://github.com/user-attachments/assets/f767c663-8f06-4302-a473-d4c98b0d3e2d

[gaojing418]

2025-07-31_212608_602.mp4