[09:56:57] Saving config to: outputs/unnamed/tetra-nerf/2023-10-10_095657/config.yml experiment_config.py:129
[09:56:57] Saving checkpoints to: outputs/unnamed/tetra-nerf/2023-10-10_095657/nerfstudio_models trainer.py:139
Traceback (most recent call last):
File "/home/user/.local/bin/ns-train", line 8, in
sys.exit(entrypoint())
File "/home/user/nerfstudio/scripts/train.py", line 247, in entrypoint
main(
File "/home/user/nerfstudio/scripts/train.py", line 233, in main
launch(
File "/home/user/nerfstudio/scripts/train.py", line 172, in launch
main_func(local_rank=0, world_size=world_size, config=config)
File "/home/user/nerfstudio/scripts/train.py", line 86, in train_loop
trainer.setup()
File "/home/user/nerfstudio/nerfstudio/engine/trainer.py", line 152, in setup
self.pipeline = self.config.pipeline.setup(
File "/home/user/nerfstudio/nerfstudio/configs/base_config.py", line 60, in setup
return self._target(self, kwargs)
File "/home/user/tetra-nerf/tetranerf/nerfstudio/pipeline.py", line 29, in init
self.datamanager: VanillaDataManager = config.datamanager.setup(
File "/home/user/nerfstudio/nerfstudio/configs/base_config.py", line 60, in setup
return self._target(self, kwargs)
File "/home/user/nerfstudio/nerfstudio/data/datamanagers/base_datamanager.py", line 413, in init
self.train_dataparser_outputs = self.dataparser.get_dataparser_outputs(split="train")
File "/home/user/nerfstudio/nerfstudio/data/dataparsers/base_dataparser.py", line 163, in get_dataparser_outputs
dataparser_outputs = self._generate_dataparser_outputs(split)
File "/home/user/nerfstudio/nerfstudio/data/dataparsers/minimal_dataparser.py", line 53, in _generate_dataparser_outputs
data = np.load(filepath, allow_pickle=True)
File "/home/user/.local/lib/python3.10/site-packages/numpy/lib/npyio.py", line 427, in load
fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: 'data/train.npz'
Hi, sorry for the late response. You have to point —data to an existing dataset root. Where do you store the dataset? Did you follow README on how to prepare the data?
[09:56:57] Saving config to: outputs/unnamed/tetra-nerf/2023-10-10_095657/config.yml experiment_config.py:129 [09:56:57] Saving checkpoints to: outputs/unnamed/tetra-nerf/2023-10-10_095657/nerfstudio_models trainer.py:139 Traceback (most recent call last): File "/home/user/.local/bin/ns-train", line 8, in
sys.exit(entrypoint())
File "/home/user/nerfstudio/scripts/train.py", line 247, in entrypoint
main(
File "/home/user/nerfstudio/scripts/train.py", line 233, in main
launch(
File "/home/user/nerfstudio/scripts/train.py", line 172, in launch
main_func(local_rank=0, world_size=world_size, config=config)
File "/home/user/nerfstudio/scripts/train.py", line 86, in train_loop
trainer.setup()
File "/home/user/nerfstudio/nerfstudio/engine/trainer.py", line 152, in setup
self.pipeline = self.config.pipeline.setup(
File "/home/user/nerfstudio/nerfstudio/configs/base_config.py", line 60, in setup
return self._target(self, kwargs)
File "/home/user/tetra-nerf/tetranerf/nerfstudio/pipeline.py", line 29, in init
self.datamanager: VanillaDataManager = config.datamanager.setup(
File "/home/user/nerfstudio/nerfstudio/configs/base_config.py", line 60, in setup
return self._target(self, kwargs)
File "/home/user/nerfstudio/nerfstudio/data/datamanagers/base_datamanager.py", line 413, in init
self.train_dataparser_outputs = self.dataparser.get_dataparser_outputs(split="train")
File "/home/user/nerfstudio/nerfstudio/data/dataparsers/base_dataparser.py", line 163, in get_dataparser_outputs
dataparser_outputs = self._generate_dataparser_outputs(split)
File "/home/user/nerfstudio/nerfstudio/data/dataparsers/minimal_dataparser.py", line 53, in _generate_dataparser_outputs
data = np.load(filepath, allow_pickle=True)
File "/home/user/.local/lib/python3.10/site-packages/numpy/lib/npyio.py", line 427, in load
fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: 'data/train.npz'
Getting above filenotfound error while running "ns-train tetra-nerf --pipeline.model.tetrahedra-path /sparse.th minimal-parser --data "
Can someone help?