mirror of
https://github.com/nerfstudio-project/nerfstudio.git
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146332cfb6
* in progress. camera_indices broken * faster dataloader. starting on pixel sampler logic * imagesampler and pixelsampler * lint and black * continuing merge * pytest working * fixed docs * docs * minor changes
79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
"""
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Miscellaneous helper code.
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"""
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import hashlib
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import json
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from pydoc import locate
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from typing import Any, Dict
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import torch
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from omegaconf import DictConfig
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class DotDict(dict):
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"""
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dot.notation access to dictionary attributes
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"""
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def __getattr__(self, attr):
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return self[attr]
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__setattr__ = dict.__setitem__
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__delattr__ = dict.__delitem__
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def get_dict_to_torch(stuff, device="cpu"):
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"""Set everything in the dict to the specified torch device."""
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if isinstance(stuff, dict):
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for k, v in stuff.items():
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stuff[k] = get_dict_to_torch(v, device)
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return stuff
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if isinstance(stuff, torch.Tensor):
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return stuff.to(device)
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return stuff
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def get_dict_to_cpu(stuff):
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"""Set everything in the dict to CPU."""
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if isinstance(stuff, dict):
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for k, v in stuff.items():
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stuff[k] = get_dict_to_cpu(v)
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return stuff
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if isinstance(stuff, torch.Tensor):
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return stuff.detach().cpu()
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return stuff
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def is_not_none(var):
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"""Return True if the variable var is None."""
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return not isinstance(var, type(None))
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def get_masked_dict(d, mask):
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"""Return a masked dictionary.
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TODO(ethan): add more asserts/checks so this doesn't have unpredictable behavior."""
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masked_dict = {}
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for key, value in d.items():
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masked_dict[key] = value[mask]
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return masked_dict
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def instantiate_from_dict_config(dict_config: DictConfig, **kwargs):
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"""Our version of hydra's instantiate function."""
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dict_config_kwargs = {k: v for k, v in dict_config.items() if k != "_target_"}
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uninstantiated_class = locate(dict_config._target_) # pylint: disable=protected-access
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all_kwargs = dict_config_kwargs
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all_kwargs.update(kwargs)
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instantiated_class = uninstantiated_class(**all_kwargs)
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return instantiated_class
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def get_hash_str_from_dict(dictionary: Dict[str, Any]) -> str:
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"""MD5 hash of a dictionary. Based on
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https://www.doc.ic.ac.uk/~nuric/coding/how-to-hash-a-dictionary-in-python.html"""
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dhash = hashlib.md5()
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encoded = json.dumps(dictionary, sort_keys=True).encode()
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dhash.update(encoded)
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return dhash.hexdigest()
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