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* support iSAID aerial dataset * Update and rename docs/dataset_prepare.md to 博士/dataset_prepare.md * Update dataset_prepare.md * fix typo * fix typo * fix typo * remove imgviz * fix wrong order in annotation name * upload models&logs * upload models&logs * add load_annotations * fix unittest coverage * fix unittest coverage * fix correct crop size in config * fix iSAID unit test * fix iSAID unit test * fix typos * fix wrong crop size in readme * use smaller figure as test data * add smaller dataset in test data * add blank in docs * use 0 bytes pseudo data * add footnote and comments for crop size * change iSAID to isaid and add default value in it * change iSAID to isaid in _base_ Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
11 lines
406 B
Python
11 lines
406 B
Python
_base_ = './fcn_hr18_4x4_896x896_80k_isaid.py'
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model = dict(
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pretrained='open-mmlab://msra/hrnetv2_w48',
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backbone=dict(
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extra=dict(
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stage2=dict(num_channels=(48, 96)),
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stage3=dict(num_channels=(48, 96, 192)),
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stage4=dict(num_channels=(48, 96, 192, 384)))),
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decode_head=dict(
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in_channels=[48, 96, 192, 384], channels=sum([48, 96, 192, 384])))
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