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Junjun2016 committed Aug 16, 2021
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1 change: 1 addition & 0 deletions .dev/gather_models.py
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# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import json
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1 change: 1 addition & 0 deletions .dev/md2yml.py
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#!/usr/bin/env python

# Copyright (c) OpenMMLab. All rights reserved.
# This tool is used to update model-index.yml which is required by MIM, and
# will be automatically called as a pre-commit hook. The updating will be
# triggered if any change of model information (.md files in configs/) has been
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1 change: 1 addition & 0 deletions .dev/upload_modelzoo.py
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# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
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1 change: 1 addition & 0 deletions configs/_base_/datasets/ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'ADE20KDataset'
data_root = 'data/ade/ADEChallengeData2016'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/chase_db1.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'ChaseDB1Dataset'
data_root = 'data/CHASE_DB1'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'CityscapesDataset'
data_root = 'data/cityscapes/'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/cityscapes_769x769.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './cityscapes.py'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
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1 change: 1 addition & 0 deletions configs/_base_/datasets/drive.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'DRIVEDataset'
data_root = 'data/DRIVE'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/hrf.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'HRFDataset'
data_root = 'data/HRF'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/pascal_context.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'PascalContextDataset'
data_root = 'data/VOCdevkit/VOC2010/'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/pascal_context_59.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'PascalContextDataset59'
data_root = 'data/VOCdevkit/VOC2010/'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/pascal_voc12.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'PascalVOCDataset'
data_root = 'data/VOCdevkit/VOC2012'
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1 change: 1 addition & 0 deletions configs/_base_/datasets/pascal_voc12_aug.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './pascal_voc12.py'
# dataset settings
data = dict(
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1 change: 1 addition & 0 deletions configs/_base_/datasets/stare.py
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# Copyright (c) OpenMMLab. All rights reserved.
# dataset settings
dataset_type = 'STAREDataset'
data_root = 'data/STARE'
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1 change: 1 addition & 0 deletions configs/_base_/default_runtime.py
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# Copyright (c) OpenMMLab. All rights reserved.
# yapf:disable
log_config = dict(
interval=50,
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1 change: 1 addition & 0 deletions configs/_base_/models/ann_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/apcnet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/ccnet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/cgnet.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', eps=1e-03, requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/danet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/deeplabv3_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/deeplabv3_unet_s5-d16.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/deeplabv3plus_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/dmnet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/dnl_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/emanet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/encnet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/fast_scnn.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True, momentum=0.01)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/fcn_hr18.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/fcn_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/fcn_unet_s5-d16.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/fpn_r50.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/gcnet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/lraspp_m-v3-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/nonlocal_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/ocrnet_hr18.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/ocrnet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/pointrend_r50.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/psanet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/pspnet_r50-d8.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/pspnet_unet_s5-d16.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/segformer_mit-b0.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/setr_mla.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
backbone_norm_cfg = dict(type='LN', eps=1e-6, requires_grad=True)
norm_cfg = dict(type='SyncBN', requires_grad=True)
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1 change: 1 addition & 0 deletions configs/_base_/models/setr_naive.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
backbone_norm_cfg = dict(type='LN', eps=1e-6, requires_grad=True)
norm_cfg = dict(type='SyncBN', requires_grad=True)
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1 change: 1 addition & 0 deletions configs/_base_/models/setr_pup.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
backbone_norm_cfg = dict(type='LN', eps=1e-6, requires_grad=True)
norm_cfg = dict(type='SyncBN', requires_grad=True)
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1 change: 1 addition & 0 deletions configs/_base_/models/upernet_r50.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/models/upernet_swin.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
backbone_norm_cfg = dict(type='LN', requires_grad=True)
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1 change: 1 addition & 0 deletions configs/_base_/models/upernet_vit-b16_ln_mln.py
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# Copyright (c) OpenMMLab. All rights reserved.
# model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
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1 change: 1 addition & 0 deletions configs/_base_/schedules/schedule_160k.py
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# Copyright (c) OpenMMLab. All rights reserved.
# optimizer
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
optimizer_config = dict()
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1 change: 1 addition & 0 deletions configs/_base_/schedules/schedule_20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
# optimizer
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
optimizer_config = dict()
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1 change: 1 addition & 0 deletions configs/_base_/schedules/schedule_40k.py
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# Copyright (c) OpenMMLab. All rights reserved.
# optimizer
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
optimizer_config = dict()
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1 change: 1 addition & 0 deletions configs/_base_/schedules/schedule_80k.py
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# Copyright (c) OpenMMLab. All rights reserved.
# optimizer
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
optimizer_config = dict()
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1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_512x1024_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_512x1024_40k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_512x1024_80k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_512x1024_80k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_512x512_160k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_512x512_160k_ade20k.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_512x512_20k_voc12aug.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_512x512_20k_voc12aug.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_512x512_40k_voc12aug.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_512x512_40k_voc12aug.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_512x512_80k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_512x512_80k_ade20k.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_769x769_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_769x769_40k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r101-d8_769x769_80k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ann_r50-d8_769x769_80k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_512x1024_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
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1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_512x1024_80k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
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1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_512x512_160k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py', '../_base_/datasets/ade20k.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
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1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_512x512_20k_voc12aug.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_20k.py'
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1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_512x512_40k_voc12aug.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
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1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_512x512_80k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py', '../_base_/datasets/ade20k.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
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1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_769x769_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py',
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',
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1 change: 1 addition & 0 deletions configs/ann/ann_r50-d8_769x769_80k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/ann_r50-d8.py',
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',
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1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r101-d8_512x1024_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './apcnet_r50-d8_512x1024_40k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r101-d8_512x1024_80k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './apcnet_r50-d8_512x1024_80k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r101-d8_512x512_160k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './apcnet_r50-d8_512x512_160k_ade20k.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r101-d8_512x512_80k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './apcnet_r50-d8_512x512_80k_ade20k.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r101-d8_769x769_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './apcnet_r50-d8_769x769_40k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r101-d8_769x769_80k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './apcnet_r50-d8_769x769_80k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r50-d8_512x1024_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
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1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r50-d8_512x1024_80k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
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1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r50-d8_512x512_160k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/ade20k.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
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1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r50-d8_512x512_80k_ade20k.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/ade20k.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
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1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r50-d8_769x769_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/apcnet_r50-d8.py',
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',
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1 change: 1 addition & 0 deletions configs/apcnet/apcnet_r50-d8_769x769_80k_cityscapes.py
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@@ -1,3 +1,4 @@
# Copyright (c) OpenMMLab. All rights reserved.
_base_ = [
'../_base_/models/apcnet_r50-d8.py',
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',
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1 change: 1 addition & 0 deletions configs/ccnet/ccnet_r101-d8_512x1024_40k_cityscapes.py
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# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ccnet_r50-d8_512x1024_40k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ccnet/ccnet_r101-d8_512x1024_80k_cityscapes.py
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@@ -1,2 +1,3 @@
# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ccnet_r50-d8_512x1024_80k_cityscapes.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
1 change: 1 addition & 0 deletions configs/ccnet/ccnet_r101-d8_512x512_160k_ade20k.py
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@@ -1,2 +1,3 @@
# Copyright (c) OpenMMLab. All rights reserved.
_base_ = './ccnet_r50-d8_512x512_160k_ade20k.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
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