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https://github.com/open-mmlab/mmsegmentation.git
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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>
10 lines
272 B
Python
10 lines
272 B
Python
_base_ = './pspnet_r50-d8_4x4_512x512_80k_potsdam.py'
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model = dict(
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pretrained='open-mmlab://resnet18_v1c',
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backbone=dict(depth=18),
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decode_head=dict(
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in_channels=512,
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channels=128,
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),
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auxiliary_head=dict(in_channels=256, channels=64))
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