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* extract dataparser configs to a stand-alone file, support custom dataparsers * add license * fix pylint issues * fix type error issue * update naming; add documentations; * print f string * fix pylint issue --------- Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
# Copyright 2022 The Nerfstudio Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Module that keeps all registered plugins and allows for plugin discovery.
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"""
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import sys
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import typing as t
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from dataclasses import dataclass
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from rich.progress import Console
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from nerfstudio.data.dataparsers.base_dataparser import DataParserConfig
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if sys.version_info < (3, 10):
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from importlib_metadata import entry_points
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else:
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from importlib.metadata import entry_points
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CONSOLE = Console(width=120)
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@dataclass
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class DataParserSpecification:
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"""
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DataParser specification class used to register custom dataparsers with Nerfstudio.
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The registered dataparsers will be available in commands such as `ns-train`
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"""
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config: DataParserConfig
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"""Dataparser configuration"""
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def discover_dataparsers() -> t.Dict[str, DataParserConfig]:
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"""
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Discovers all dataparsers registered using the `nerfstudio.dataparser_configs` entrypoint.
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"""
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dataparsers = {}
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discovered_entry_points = entry_points(group="nerfstudio.dataparser_configs")
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for name in discovered_entry_points.names:
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spec = discovered_entry_points[name].load()
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if not isinstance(spec, DataParserSpecification):
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CONSOLE.print(
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f"[bold yellow]Warning: Could not entry point {spec} as it is an instance of DataParserSpecification"
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)
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continue
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spec = t.cast(DataParserSpecification, spec)
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dataparsers[name] = spec.config
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return dataparsers
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