Closed yejr0229 closed 1 month ago
what is your python environment?
it's python 3.10.14. can I just use another version of zip and not change the python version? it's really troublesome to recreate the environment...
please consider use conda to manage your python environment. The error is cased by wrong python environment.
So what's the proper version of python?
Please let me know your python version, thanks so much.
Thanks for your great work! I run this command: "python3 ./run_nerf.py -t 'a penguin with husky dog costume' -o nerf_outputs/a_penguin_with_husky_dog_costume", and I have complete training, and I meet: [INFO] Initializing geometry from a given checkpoint ... Traceback (most recent call last): File "/public/omniteam/yejr/richdreamer-main/launch.py", line 237, in
main(args, extras)
File "/public/omniteam/yejr/richdreamer-main/launch.py", line 104, in main
system: BaseSystem = threestudio.find(cfg.system_type)(
File "/public/omniteam/yejr/richdreamer-main/threestudio/systems/base.py", line 41, in init
self.configure()
File "/public/omniteam/yejr/richdreamer-main/threestudio/systems/nd_mvdream.py", line 26, in configure
super().configure()
File "/public/omniteam/yejr/richdreamer-main/threestudio/systems/base.py", line 288, in configure
self.geometry = threestudio.find(self.cfg.geometry_type).create_from(
File "/public/omniteam/yejr/conda_env/richdreamer/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(args, kwargs)
File "/public/omniteam/yejr/richdreamer-main/threestudio/models/geometry/tetrahedra_sdf_grid.py", line 299, in create_from
instance = TetrahedraSDFGrid(cfg, kwargs)
File "/public/omniteam/yejr/richdreamer-main/threestudio/utils/base.py", line 101, in init
self.configure(args, **kwargs)
File "/public/omniteam/yejr/richdreamer-main/threestudio/models/geometry/tetrahedra_sdf_grid.py", line 73, in configure
self.isosurface_helper = MarchingTetrahedraHelper(
File "/public/omniteam/yejr/richdreamer-main/threestudio/models/isosurface.py", line 125, in init
"indices", torch.from_numpy(tets["indices"]).long(), persistent=False
File "/public/omniteam/yejr/conda_env/richdreamer/lib/python3.10/site-packages/numpy/lib/npyio.py", line 243, in getitem
return format.read_array(bytes,
File "/public/omniteam/yejr/conda_env/richdreamer/lib/python3.10/site-packages/numpy/lib/format.py", line 778, in read_array
data = _read_bytes(fp, read_size, "array data")
File "/public/omniteam/yejr/conda_env/richdreamer/lib/python3.10/site-packages/numpy/lib/format.py", line 907, in _read_bytes
r = fp.read(size - len(data))
File "/public/omniteam/yejr/conda_env/richdreamer/lib/python3.10/zipfile.py", line 929, in read
data = self._read1(n)
File "/public/omniteam/yejr/conda_env/richdreamer/lib/python3.10/zipfile.py", line 1005, in _read1
data = self._decompressor.decompress(data, n)
zlib.error: Error -3 while decompressing data: too many length or distance symbols
time cost:1486.3226387500763
Is it a zip error? how to deal with it?