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Delete header in config files
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‎configs/_base_/datasets/ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'ADE20KDataset'
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data_root = 'data/ade/ADEChallengeData2016'

‎configs/_base_/datasets/chase_db1.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'ChaseDB1Dataset'
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data_root = 'data/CHASE_DB1'

‎configs/_base_/datasets/cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'CityscapesDataset'
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data_root = 'data/cityscapes/'

‎configs/_base_/datasets/cityscapes_769x769.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './cityscapes.py'
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img_norm_cfg = dict(
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mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)

‎configs/_base_/datasets/drive.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'DRIVEDataset'
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data_root = 'data/DRIVE'

‎configs/_base_/datasets/hrf.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'HRFDataset'
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data_root = 'data/HRF'

‎configs/_base_/datasets/pascal_context.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'PascalContextDataset'
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data_root = 'data/VOCdevkit/VOC2010/'

‎configs/_base_/datasets/pascal_context_59.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'PascalContextDataset59'
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data_root = 'data/VOCdevkit/VOC2010/'

‎configs/_base_/datasets/pascal_voc12.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'PascalVOCDataset'
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data_root = 'data/VOCdevkit/VOC2012'

‎configs/_base_/datasets/pascal_voc12_aug.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './pascal_voc12.py'
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# dataset settings
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data = dict(

‎configs/_base_/datasets/stare.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# dataset settings
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dataset_type = 'STAREDataset'
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data_root = 'data/STARE'

‎configs/_base_/default_runtime.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# yapf:disable
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log_config = dict(
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interval=50,

‎configs/_base_/models/ann_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/apcnet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/ccnet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/cgnet.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', eps=1e-03, requires_grad=True)
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model = dict(

‎configs/_base_/models/danet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/deeplabv3_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/deeplabv3_unet_s5-d16.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/deeplabv3plus_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/dmnet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/dnl_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/emanet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/encnet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/fast_scnn.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True, momentum=0.01)
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model = dict(

‎configs/_base_/models/fcn_hr18.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/fcn_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/fcn_unet_s5-d16.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/fpn_r50.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/gcnet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/lraspp_m-v3-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)
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model = dict(

‎configs/_base_/models/nonlocal_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/ocrnet_hr18.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/ocrnet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/pointrend_r50.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/psanet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/pspnet_r50-d8.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/pspnet_unet_s5-d16.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/segformer_mit-b0.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/setr_mla.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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backbone_norm_cfg = dict(type='LN', eps=1e-6, requires_grad=True)
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norm_cfg = dict(type='SyncBN', requires_grad=True)

‎configs/_base_/models/setr_naive.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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backbone_norm_cfg = dict(type='LN', eps=1e-6, requires_grad=True)
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norm_cfg = dict(type='SyncBN', requires_grad=True)

‎configs/_base_/models/setr_pup.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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backbone_norm_cfg = dict(type='LN', eps=1e-6, requires_grad=True)
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norm_cfg = dict(type='SyncBN', requires_grad=True)

‎configs/_base_/models/upernet_r50.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/models/upernet_swin.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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backbone_norm_cfg = dict(type='LN', requires_grad=True)

‎configs/_base_/models/upernet_vit-b16_ln_mln.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# model settings
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(

‎configs/_base_/schedules/schedule_160k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# optimizer
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optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
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optimizer_config = dict()

‎configs/_base_/schedules/schedule_20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# optimizer
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optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
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optimizer_config = dict()

‎configs/_base_/schedules/schedule_40k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# optimizer
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optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
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optimizer_config = dict()

‎configs/_base_/schedules/schedule_80k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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# optimizer
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optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
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optimizer_config = dict()

‎configs/ann/ann_r101-d8_512x1024_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_512x1024_40k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r101-d8_512x1024_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_512x1024_80k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r101-d8_512x512_160k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_512x512_160k_ade20k.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r101-d8_512x512_20k_voc12aug.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_512x512_20k_voc12aug.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r101-d8_512x512_40k_voc12aug.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_512x512_40k_voc12aug.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r101-d8_512x512_80k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_512x512_80k_ade20k.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r101-d8_769x769_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_769x769_40k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r101-d8_769x769_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ann_r50-d8_769x769_80k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ann/ann_r50-d8_512x1024_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'

‎configs/ann/ann_r50-d8_512x1024_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'

‎configs/ann/ann_r50-d8_512x512_160k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py', '../_base_/datasets/ade20k.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'

‎configs/ann/ann_r50-d8_512x512_20k_voc12aug.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_20k.py'

‎configs/ann/ann_r50-d8_512x512_40k_voc12aug.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'

‎configs/ann/ann_r50-d8_512x512_80k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py', '../_base_/datasets/ade20k.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'

‎configs/ann/ann_r50-d8_769x769_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py',
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'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',

‎configs/ann/ann_r50-d8_769x769_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/ann_r50-d8.py',
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'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',

‎configs/apcnet/apcnet_r101-d8_512x1024_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './apcnet_r50-d8_512x1024_40k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/apcnet/apcnet_r101-d8_512x1024_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './apcnet_r50-d8_512x1024_80k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/apcnet/apcnet_r101-d8_512x512_160k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './apcnet_r50-d8_512x512_160k_ade20k.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/apcnet/apcnet_r101-d8_512x512_80k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './apcnet_r50-d8_512x512_80k_ade20k.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/apcnet/apcnet_r101-d8_769x769_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './apcnet_r50-d8_769x769_40k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/apcnet/apcnet_r101-d8_769x769_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './apcnet_r50-d8_769x769_80k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/apcnet/apcnet_r50-d8_512x1024_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'

‎configs/apcnet/apcnet_r50-d8_512x1024_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'

‎configs/apcnet/apcnet_r50-d8_512x512_160k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
32
'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/ade20k.py',
43
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'

‎configs/apcnet/apcnet_r50-d8_512x512_80k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
32
'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/ade20k.py',
43
'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'

‎configs/apcnet/apcnet_r50-d8_769x769_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
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'../_base_/models/apcnet_r50-d8.py',
43
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',

‎configs/apcnet/apcnet_r50-d8_769x769_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = [
32
'../_base_/models/apcnet_r50-d8.py',
43
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',

‎configs/ccnet/ccnet_r101-d8_512x1024_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ccnet_r50-d8_512x1024_40k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ccnet/ccnet_r101-d8_512x1024_80k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ccnet_r50-d8_512x1024_80k_cityscapes.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ccnet/ccnet_r101-d8_512x512_160k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ccnet_r50-d8_512x512_160k_ade20k.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ccnet/ccnet_r101-d8_512x512_20k_voc12aug.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ccnet_r50-d8_512x512_20k_voc12aug.py'
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model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ccnet/ccnet_r101-d8_512x512_40k_voc12aug.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ccnet_r50-d8_512x512_40k_voc12aug.py'
32
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ccnet/ccnet_r101-d8_512x512_80k_ade20k.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ccnet_r50-d8_512x512_80k_ade20k.py'
32
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

‎configs/ccnet/ccnet_r101-d8_769x769_40k_cityscapes.py

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# Copyright (c) OpenMMLab. All rights reserved.
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_base_ = './ccnet_r50-d8_769x769_40k_cityscapes.py'
32
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

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