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__init__.py
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__init__.py
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# MIT License
#
# Copyright (c) 2022 Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Cyrill
# Stachniss.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
from pathlib import Path
from typing import Dict, List
def supported_file_extensions():
return [
"bin",
"pcd",
"ply",
"xyz",
"obj",
"ctm",
"off",
"stl",
"e57",
]
def available_dataloaders() -> List:
import os.path
import pkgutil
pkgpath = os.path.dirname(__file__)
dataloaders = [name for _, name, _ in pkgutil.iter_modules([pkgpath])]
dataloaders.remove("point_cloud2")
return dataloaders
def jumpable_dataloaders():
_jumpable_dataloaders = available_dataloaders()
_jumpable_dataloaders.remove("mcap")
_jumpable_dataloaders.remove("ouster")
_jumpable_dataloaders.remove("rosbag")
return _jumpable_dataloaders
def dataloader_types() -> Dict:
import ast
import importlib
dataloaders = available_dataloaders()
_types = {}
for dataloader in dataloaders:
script = importlib.util.find_spec(f".{dataloader}", __name__).origin
with open(script) as f:
tree = ast.parse(f.read(), script)
classes = [cls for cls in tree.body if isinstance(cls, ast.ClassDef)]
_types[dataloader] = classes[0].name # assuming there is only 1 class
return _types
def dataset_factory(dataloader: str, data_dir: Path, *args, **kwargs):
import importlib
dataloader_type = dataloader_types()[dataloader]
module = importlib.import_module(f".{dataloader}", __name__)
assert hasattr(module, dataloader_type), f"{dataloader_type} is not defined in {module}"
dataset = getattr(module, dataloader_type)
return dataset(data_dir=data_dir, *args, **kwargs)