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https://github.com/open-mmlab/mmsegmentation.git
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7fdb4002fa
* delete markdownlint * Support MobileNetV3 * fix import * add mobilenetv3 head and configs * Modify MobileNetV3 to semantic segmentation version * modify mobilenetv3 configs * add std configs * fix Conv2dAdaptivePadding bug * add configs * add unitest and fix bugs * fix lraspp unitest bugs * restore * fix unitest * add MobileNetV3 docstring * add mmcv * add mmcv * fix syntax bug * fix unitest bug * fix unitest bug * fix unitest bugs * fix docstring * add configs * restore * delete unnecessary assert * modify unitest * delete benchmark
24 lines
766 B
Python
24 lines
766 B
Python
_base_ = './lraspp_m-v3-d8_512x1024_320k_cityscapes.py'
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norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)
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model = dict(
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type='EncoderDecoder',
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pretrained='open-mmlab://contrib/mobilenet_v3_small',
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backbone=dict(
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type='MobileNetV3',
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arch='small',
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out_indices=(0, 1, 12),
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norm_cfg=norm_cfg),
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decode_head=dict(
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type='LRASPPHead',
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in_channels=(16, 16, 576),
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in_index=(0, 1, 2),
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channels=128,
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input_transform='multiple_select',
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dropout_ratio=0.1,
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num_classes=19,
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norm_cfg=norm_cfg,
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act_cfg=dict(type='ReLU'),
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align_corners=False,
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loss_decode=dict(
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type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)))
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