INeedNZT
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Parent(s):
76ba023
Abandon using datasets, use git download instead
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kitti.py
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# MIT License
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#
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# Copyright (c) 2024 Jingming Xia.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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"""KITTI raw and depth map dataset."""
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import datasets
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_DESCRIPTION = """\
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This dataset contains over 93 thousand annotated depth maps aligned with the "raw data" of the KITTI dataset.
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"""
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_HOMEPAGE = "https://www.cvlibs.net/datasets/kitti/eval_depth_all.php"
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_LICENSE = "MIT License"
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DIR_LIST = ["2011_09_26", "2011_09_28",
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"2011_09_29", "2011_09_30", "2011_10_03"]
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_URLS = {
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"rgb": [f"rgb/{dir}.tar" for dir in DIR_LIST],
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"depth": [f"depth/{dir}.tar" for dir in DIR_LIST]
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}
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class KITTI(datasets.GeneratorBasedBuilder):
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"""KITTI raw and depth map dataset."""
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VERSION = datasets.Version("1.1.0")
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def _info(self):
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features = datasets.Features(
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{"path": datasets.Value("string")}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE
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)
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def _split_generators(self, dl_manager):
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return [
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datasets.SplitGenerator(
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name="rgb",
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gen_kwargs={
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"path": dl_manager.download_and_extract(_URLS["rgb"]),
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},
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),
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datasets.SplitGenerator(
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name="depth",
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gen_kwargs={
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"path": dl_manager.download_and_extract(_URLS["depth"]),
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},
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)
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]
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def _generate_examples(self, path):
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# We only return the extract path
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yield 0, {"path": path}
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