Describe the bug
When attempting to train a data set with Pynerf. I persistently get this issue.
[https://docs.nerf.studio/nerfology/methods/pynerf.html]
ns-train pynerf nerfstudio-data --data data/nerfstudio/Egypt
Traceback (most recent call last):
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "C:\Users\James\anaconda3\envs\nerfstudio\Scripts\ns-train.exe_main.py", line 7, in
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\scripts\train.py", line 262, in entrypoint
main(
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\scripts\train.py", line 247, in main
launch(
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\scripts\train.py", line 189, in launch
main_func(local_rank=0, world_size=world_size, config=config)
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\scripts\train.py", line 99, in train_loop
trainer.setup()
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\engine\trainer.py", line 149, in setup
self.pipeline = self.config.pipeline.setup(
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\configs\base_config.py", line 54, in setup
return self._target(self, **kwargs)
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\pipelines\base_pipeline.py", line 254, in init
self.datamanager: DataManager = config.datamanager.setup(
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\nerfstudio\configs\base_config.py", line 54, in setup
return self._target(self, **kwargs)
File "C:\Users\James\anaconda3\envs\nerfstudio\lib\site-packages\pynerf\data\datamanagers\random_subset_datamanager.py", line 96, in init
self.train_ray_generator = RayGenerator(self.train_dataparser_outputs.cameras.to(self.device),
TypeError: init() takes 2 positional arguments but 3 were given
Problem is external to Nerfstudio in this example. The issue is that the latest versions of Nerfstudio have updated their calls to certain classes, like datamanagers, however, the maintainers of the PyNerf repo have not, from my understanding, updated their code to reflect some of these changes. The problem is basically they expect their code to work for all versions of nerfstudio above this but I guess at some point the nerfstudio version and their repo clashes.
Ah okay, so it's a waiting game for PyNerf to update things from their end. Thanks again!
https://github.com/hturki/pynerf/issues/6
Found this issue topic open on PyNerf's page for anyone else struggling