nerfstudio-project
On latest splatfacto viewer not coming up
Just tried latest nerfstudio in the Google Colab demo notebook; a nerfacto run worked fine, with viewer updating. Trying splatfacto, the training went through to completion, but the viser share URL viewer never showed anything; the loading indicator of the browser kept cycling. A splatfacto run done some days ago, using the previous version of gsplat, worked as expected.
Also what i have observed if we click on the gui to share again it fail with the same error mentioned here - https://github.com/nerfstudio-project/nerfstudio/issues/3225 that's why it keep on cycling the same traceback is generated
I'm using the demo.ipynb as per the repository, the isolation preset scene, and the training command is pasted into the Xterm window as:
ns-train splatfacto --viewer.websocket-port 7007 --viewer.make-share-url True nerfstudio-data --data data/nerfstudio/{scene} --downscale-factor 4
Xterm output:
─────────── [05:24:19] Saving config to: outputs/unnamed/splatfacto/2024-06-16_052419/config.yml experiment_config.py:136 Saving checkpoints to: outputs/unnamed/splatfacto/2024-06-16_052419/nerfstudio_models trainer.py:137 load_3D_points is true, but the dataset was processed with an outdated ns-process-data that didn't convert colmap points to .ply! Update the colmap dataset automatically? [y/n]: y Downloading: "https://download.pytorch.org/models/alexnet-owt-7be5be79.pth" to /root/.cache/torch/hub/checkpoints/alexnet-owt-7be5be79.pth 100%|██████████████████████████████████████████████████████████████████████| 233M/233M [00:02<00:00, 113MB/s] ╭─────────────── viser ───────────────╮ │ ╷ │ │ HTTP │ http://0.0.0.0:7007 │ │ Websocket │ ws://0.0.0.0:7007 │ │ ╵ │ ╰─────────────────────────────────────╯ (viser) Share URL requested! /usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock. self.pid = os.fork() (viser) Generated share URL (expires in 24 hours, max 32 clients): https://fresh-unevaluated.share.viser.studio [05:24:39] Caching / undistorting eval images full_images_datamanager.py:230 [NOTE] Not running eval iterations since only viewer is enabled. Use --vis {wandb, tensorboard, viewer+wandb, viewer+tensorboard} to run with eval. No Nerfstudio checkpoint to load, so training from scratch. Disabled comet/tensorboard/wandb event writers [05:24:41] Caching / undistorting train images full_images_datamanager.py:230 /usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock. self.pid = os.fork() [05:29:53] Printing max of 10 lines. Set flag --logging.local-writer.max-log-size=0 to disable line writer.py:448 wrapping.
The URL fresh-unevaluated.share.viser.studio gives me a loading status, with no output.
Note again, the previous splatfacto version worked fine, with correct viewer interaction
