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634fbceab0
* add isprs potsdam dataset * add isprs dataset configs * fix lint error * fix potsdam conversion bug * fix error in potsdam class * fix error in potsdam class * add vaihingen dataset * add vaihingen dataset * add vaihingen dataset * fix some description errors. * fix some description errors. * fix some description errors. * upload models & logs of Potsdam * remove vaihingen and add unit test * add chinese readme * add pseudodataset * use mmcv and add class_names * use f-string * add new dataset unittest * add docstring and remove global variables args * fix metafile error in PSPNet * fix pretrained value * Add dataset info * fix typo Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
26 lines
848 B
Python
26 lines
848 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .builder import DATASETS
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from .custom import CustomDataset
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@DATASETS.register_module()
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class PotsdamDataset(CustomDataset):
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"""ISPRS Potsdam dataset.
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In segmentation map annotation for Potsdam dataset, 0 is the ignore index.
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``reduce_zero_label`` should be set to True. The ``img_suffix`` and
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``seg_map_suffix`` are both fixed to '.png'.
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"""
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CLASSES = ('impervious_surface', 'building', 'low_vegetation', 'tree',
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'car', 'clutter')
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PALETTE = [[255, 255, 255], [0, 0, 255], [0, 255, 255], [0, 255, 0],
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[255, 255, 0], [255, 0, 0]]
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def __init__(self, **kwargs):
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super(PotsdamDataset, self).__init__(
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img_suffix='.png',
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seg_map_suffix='.png',
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reduce_zero_label=True,
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**kwargs)
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