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7baed6513e
* Add Pascal Context to mmsegmentation * Add benchmark result to Pascal Context * fix mmcv version * fix code syntax * fix code syntax again * Update mmseg/models/segmentors/encoder_decoder.py update hint Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com> * update comment * fix pascal context model path * fix model path mistake again * fix model path mistake again * fix model path mistakes again Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
11 lines
411 B
Python
11 lines
411 B
Python
_base_ = './fcn_hr18_480x480_80k_pascal_context.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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