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https://github.com/open-mmlab/mmsegmentation.git
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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>
10 lines
406 B
Python
10 lines
406 B
Python
_base_ = [
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'../_base_/models/pspnet_r50-d8.py',
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'../_base_/datasets/pascal_context.py', '../_base_/default_runtime.py',
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'../_base_/schedules/schedule_80k.py'
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]
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model = dict(
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decode_head=dict(num_classes=60), auxiliary_head=dict(num_classes=60))
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test_cfg = dict(mode='slide', crop_size=(480, 480), stride=(320, 320))
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optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)
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