.tags

!_TAG_FILE_FORMAT	2	/extended format; --format=1 will not append ;" to lines/
!_TAG_FILE_SORTED	1	/0=unsorted, 1=sorted, 2=foldcase/
!_TAG_PROGRAM_AUTHOR	Darren Hiebert	/dhiebert@users.sourceforge.net/
!_TAG_PROGRAM_NAME	Exuberant Ctags	//
!_TAG_PROGRAM_URL	http://ctags.sourceforge.net	/official site/
!_TAG_PROGRAM_VERSION	5.8	//
ABCMeta	.\mmseg\core\seg\sampler\base_pixel_sampler.py	/^from abc import ABCMeta, abstractmethod$/;"	i
ABCMeta	.\mmseg\models\decode_heads\cascade_decode_head.py	/^from abc import ABCMeta, abstractmethod$/;"	i
ABCMeta	.\mmseg\models\decode_heads\decode_head.py	/^from abc import ABCMeta, abstractmethod$/;"	i
ABCMeta	.\mmseg\models\segmentors\base.py	/^from abc import ABCMeta, abstractmethod$/;"	i
ACCESS_KEY_ID	.\.dev\upload_modelzoo.py	/^ACCESS_KEY_ID = os.getenv('OSS_ACCESS_KEY_ID', None)$/;"	v
ACCESS_KEY_SECRET	.\.dev\upload_modelzoo.py	/^ACCESS_KEY_SECRET = os.getenv('OSS_ACCESS_KEY_SECRET', None)$/;"	v
ACM	.\mmseg\models\decode_heads\apc_head.py	/^class ACM(nn.Module):$/;"	c
ADE20KDataset	.\mmseg\datasets\__init__.py	/^from .ade import ADE20KDataset$/;"	i
ADE20KDataset	.\mmseg\datasets\ade.py	/^class ADE20KDataset(CustomDataset):$/;"	c
ADE20KDataset	.\tests\test_data\test_dataset.py	/^from mmseg.datasets import (DATASETS, ADE20KDataset, CityscapesDataset,$/;"	i
AFNB	.\mmseg\models\decode_heads\ann_head.py	/^class AFNB(nn.Module):$/;"	c
ANNHead	.\mmseg\models\decode_heads\__init__.py	/^from .ann_head import ANNHead$/;"	i
ANNHead	.\mmseg\models\decode_heads\ann_head.py	/^class ANNHead(BaseDecodeHead):$/;"	c
ANNHead	.\tests\test_models\test_heads.py	/^from mmseg.models.decode_heads import (ANNHead, APCHead, ASPPHead, CCHead,$/;"	i
APCHead	.\mmseg\models\decode_heads\__init__.py	/^from .apc_head import APCHead$/;"	i
APCHead	.\mmseg\models\decode_heads\apc_head.py	/^class APCHead(BaseDecodeHead):$/;"	c
APCHead	.\tests\test_models\test_heads.py	/^from mmseg.models.decode_heads import (ANNHead, APCHead, ASPPHead, CCHead,$/;"	i
APNB	.\mmseg\models\decode_heads\ann_head.py	/^class APNB(nn.Module):$/;"	c
ASPPHead	.\mmseg\models\decode_heads\__init__.py	/^from .aspp_head import ASPPHead$/;"	i
ASPPHead	.\mmseg\models\decode_heads\aspp_head.py	/^class ASPPHead(BaseDecodeHead):$/;"	c
ASPPHead	.\mmseg\models\decode_heads\sep_aspp_head.py	/^from .aspp_head import ASPPHead, ASPPModule$/;"	i
ASPPHead	.\tests\test_models\test_heads.py	/^from mmseg.models.decode_heads import (ANNHead, APCHead, ASPPHead, CCHead,$/;"	i
ASPPModule	.\mmseg\models\decode_heads\aspp_head.py	/^class ASPPModule(nn.ModuleList):$/;"	c
ASPPModule	.\mmseg\models\decode_heads\sep_aspp_head.py	/^from .aspp_head import ASPPHead, ASPPModule$/;"	i
AUG_LEN	.\tools\convert_datasets\voc_aug.py	/^AUG_LEN = 10582$/;"	v
Accuracy	.\mmseg\models\losses\__init__.py	/^from .accuracy import Accuracy, accuracy$/;"	i
Accuracy	.\mmseg\models\losses\accuracy.py	/^class Accuracy(nn.Module):$/;"	c
Accuracy	.\tests\test_models\test_losses.py	/^from mmseg.models.losses import Accuracy, reduce_loss, weight_reduce_loss$/;"	i
AdjustGamma	.\mmseg\datasets\pipelines\__init__.py	/^from .transforms import (CLAHE, AdjustGamma, Normalize, Pad,$/;"	i
AdjustGamma	.\mmseg\datasets\pipelines\transforms.py	/^class AdjustGamma(object):$/;"	c
ArgumentParser	.\demo\image_demo.py	/^from argparse import ArgumentParser$/;"	i
AsciiTable	.\mmseg\datasets\custom.py	/^from terminaltables import AsciiTable$/;"	i
Attention	.\mmseg\models\backbones\pvt.py	/^class Attention(nn.Module):$/;"	c
Attention	.\mmseg\models\backbones\pvt_dia.py	/^class Attention(nn.Module):$/;"	c
Attention	.\mmseg\models\backbones\vit.py	/^class Attention(nn.Module):$/;"	c
Attention	.\mmseg\models\backbones\vit_mla.py	/^class Attention(nn.Module):$/;"	c
AvgPool2d	.\tests\test_models\test_backbone.py	/^from torch.nn.modules import AvgPool2d, GroupNorm$/;"	i
BACKBONES	.\mmseg\models\__init__.py	/^from .builder import (BACKBONES, HEADS, LOSSES, SEGMENTORS, build_backbone,$/;"	i
BACKBONES	.\mmseg\models\backbones\cgnet.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\fast_scnn.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\hrnet.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\mobilenet_v2.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\mobilenet_v3.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\pvt.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\pvt_dia.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\resnest.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\resnet.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\resnext.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\unet.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\vit.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\backbones\vit_mla.py	/^from ..builder import BACKBONES$/;"	i
BACKBONES	.\mmseg\models\builder.py	/^BACKBONES = Registry('backbone')$/;"	v
BACKBONES	.\tests\test_models\test_segmentor.py	/^from mmseg.models import BACKBONES, HEADS, build_segmentor$/;"	i
BUCKET_NAME	.\.dev\upload_modelzoo.py	/^BUCKET_NAME = 'openmmlab'$/;"	v
BUILDDIR	.\docs\make.bat	/^set BUILDDIR=_build$/;"	v
BaseCascadeDecodeHead	.\mmseg\models\decode_heads\cascade_decode_head.py	/^class BaseCascadeDecodeHead(BaseDecodeHead, metaclass=ABCMeta):$/;"	c
BaseCascadeDecodeHead	.\mmseg\models\decode_heads\ocr_head.py	/^from .cascade_decode_head import BaseCascadeDecodeHead$/;"	i
BaseCascadeDecodeHead	.\mmseg\models\decode_heads\point_head.py	/^from .cascade_decode_head import BaseCascadeDecodeHead$/;"	i
BaseCascadeDecodeHead	.\tests\test_models\test_segmentor.py	/^from mmseg.models.decode_heads.cascade_decode_head import BaseCascadeDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\ann_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\apc_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\aspp_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\cascade_decode_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\da_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\decode_head.py	/^class BaseDecodeHead(nn.Module, metaclass=ABCMeta):$/;"	c
BaseDecodeHead	.\mmseg\models\decode_heads\dm_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\ema_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\enc_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\fcn_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\fpn_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\lraspp_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\psa_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\psp_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\uper_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\vit_mla_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\mmseg\models\decode_heads\vit_up_head.py	/^from .decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\tests\test_models\test_heads.py	/^from mmseg.models.decode_heads.decode_head import BaseDecodeHead$/;"	i
BaseDecodeHead	.\tests\test_models\test_segmentor.py	/^from mmseg.models.decode_heads.decode_head import BaseDecodeHead$/;"	i
BasePixelSampler	.\mmseg\core\seg\__init__.py	/^from .sampler import BasePixelSampler, OHEMPixelSampler$/;"	i
BasePixelSampler	.\mmseg\core\seg\sampler\__init__.py	/^from .base_pixel_sampler import BasePixelSampler$/;"	i
BasePixelSampler	.\mmseg\core\seg\sampler\base_pixel_sampler.py	/^class BasePixelSampler(metaclass=ABCMeta):$/;"	c
BasePixelSampler	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^from .base_pixel_sampler import BasePixelSampler$/;"	i
BaseSegmentor	.\mmseg\models\segmentors\base.py	/^class BaseSegmentor(nn.Module):$/;"	c
BaseSegmentor	.\mmseg\models\segmentors\encoder_decoder.py	/^from .base import BaseSegmentor$/;"	i
BasicBlock	.\mmseg\models\backbones\hrnet.py	/^from .resnet import BasicBlock, Bottleneck$/;"	i
BasicBlock	.\mmseg\models\backbones\resnet.py	/^class BasicBlock(nn.Module):$/;"	c
BasicBlock	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones.resnet import BasicBlock, Bottleneck$/;"	i
BasicConvBlock	.\mmseg\models\backbones\unet.py	/^class BasicConvBlock(nn.Module):$/;"	c
BasicConvBlock	.\tests\test_models\test_unet.py	/^from mmseg.models.backbones.unet import (BasicConvBlock, DeconvModule,$/;"	i
Block	.\mmseg\models\backbones\pvt.py	/^class Block(nn.Module):$/;"	c
Block	.\mmseg\models\backbones\pvt_dia.py	/^class Block(nn.Module):$/;"	c
Block	.\mmseg\models\backbones\vit.py	/^class Block(nn.Module):$/;"	c
Block	.\mmseg\models\backbones\vit_mla.py	/^class Block(nn.Module):$/;"	c
Block	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from ..backbones.vit import Block$/;"	i
Block	.\mmseg\models\decode_heads\vit_mla_head.py	/^from ..backbones.vit import Block$/;"	i
Block	.\mmseg\models\decode_heads\vit_up_head.py	/^from ..backbones.vit import Block$/;"	i
Bottleneck	.\mmseg\models\backbones\hrnet.py	/^from .resnet import BasicBlock, Bottleneck$/;"	i
Bottleneck	.\mmseg\models\backbones\resnest.py	/^class Bottleneck(_Bottleneck):$/;"	c
Bottleneck	.\mmseg\models\backbones\resnet.py	/^class Bottleneck(nn.Module):$/;"	c
Bottleneck	.\mmseg\models\backbones\resnext.py	/^class Bottleneck(_Bottleneck):$/;"	c
Bottleneck	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones.resnet import BasicBlock, Bottleneck$/;"	i
BottleneckS	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones.resnest import Bottleneck as BottleneckS$/;"	i
BottleneckX	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones.resnext import Bottleneck as BottleneckX$/;"	i
CAM	.\mmseg\models\decode_heads\da_head.py	/^class CAM(nn.Module):$/;"	c
CCHead	.\mmseg\models\decode_heads\__init__.py	/^from .cc_head import CCHead$/;"	i
CCHead	.\mmseg\models\decode_heads\cc_head.py	/^class CCHead(FCNHead):$/;"	c
CCHead	.\tests\test_models\test_heads.py	/^from mmseg.models.decode_heads import (ANNHead, APCHead, ASPPHead, CCHead,$/;"	i
CGNet	.\mmseg\models\backbones\__init__.py	/^from .cgnet import CGNet$/;"	i
CGNet	.\mmseg\models\backbones\cgnet.py	/^class CGNet(nn.Module):$/;"	c
CGNet	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones import (CGNet, FastSCNN, MobileNetV3, ResNeSt,$/;"	i
CHASE_DB1_LEN	.\tools\convert_datasets\chase_db1.py	/^CHASE_DB1_LEN = 28 * 3$/;"	v
CLAHE	.\mmseg\datasets\pipelines\__init__.py	/^from .transforms import (CLAHE, AdjustGamma, Normalize, Pad,$/;"	i
CLAHE	.\mmseg\datasets\pipelines\transforms.py	/^class CLAHE(object):$/;"	c
CLASSES	.\mmseg\datasets\ade.py	/^    CLASSES = ($/;"	v	class:ADE20KDataset
CLASSES	.\mmseg\datasets\chase_db1.py	/^    CLASSES = ('background', 'vessel')$/;"	v	class:ChaseDB1Dataset
CLASSES	.\mmseg\datasets\cityscapes.py	/^    CLASSES = ('road', 'sidewalk', 'building', 'wall', 'fence', 'pole',$/;"	v	class:CityscapesDataset
CLASSES	.\mmseg\datasets\custom.py	/^    CLASSES = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,$/;"	v	class:CustomDataset
CLASSES	.\mmseg\datasets\drive.py	/^    CLASSES = ('background', 'vessel')$/;"	v	class:DRIVEDataset
CLASSES	.\mmseg\datasets\hrf.py	/^    CLASSES = ('background', 'vessel')$/;"	v	class:HRFDataset
CLASSES	.\mmseg\datasets\pascal_context.py	/^    CLASSES = ('background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle',$/;"	v	class:PascalContextDataset
CLASSES	.\mmseg\datasets\stare.py	/^    CLASSES = ('background', 'vessel')$/;"	v	class:STAREDataset
CLASSES	.\mmseg\datasets\voc.py	/^    CLASSES = ('background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle',$/;"	v	class:PascalVOCDataset
CSEval	.\mmseg\datasets\cityscapes.py	/^            import cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling as CSEval  # noqa$/;"	i
CSLabels	.\mmseg\datasets\cityscapes.py	/^            import cityscapesscripts.helpers.labels as CSLabels$/;"	i
CSLabels	.\mmseg\datasets\cityscapes.py	/^        import cityscapesscripts.helpers.labels as CSLabels$/;"	i
CascadeEncoderDecoder	.\mmseg\models\segmentors\__init__.py	/^from .cascade_encoder_decoder import CascadeEncoderDecoder$/;"	i
CascadeEncoderDecoder	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^class CascadeEncoderDecoder(EncoderDecoder):$/;"	c
ChaseDB1Dataset	.\mmseg\datasets\__init__.py	/^from .chase_db1 import ChaseDB1Dataset$/;"	i
ChaseDB1Dataset	.\mmseg\datasets\chase_db1.py	/^class ChaseDB1Dataset(CustomDataset):$/;"	c
CityscapesDataset	.\mmseg\datasets\__init__.py	/^from .cityscapes import CityscapesDataset$/;"	i
CityscapesDataset	.\mmseg\datasets\cityscapes.py	/^class CityscapesDataset(CustomDataset):$/;"	c
CityscapesDataset	.\tests\test_data\test_dataset.py	/^from mmseg.datasets import (DATASETS, ADE20KDataset, CityscapesDataset,$/;"	i
Collect	.\mmseg\datasets\pipelines\__init__.py	/^from .formating import (Collect, ImageToTensor, ToDataContainer, ToTensor,$/;"	i
Collect	.\mmseg\datasets\pipelines\formating.py	/^class Collect(object):$/;"	c
Compose	.\mmseg\apis\inference.py	/^from mmseg.datasets.pipelines import Compose$/;"	i
Compose	.\mmseg\datasets\custom.py	/^from .pipelines import Compose$/;"	i
Compose	.\mmseg\datasets\pipelines\__init__.py	/^from .compose import Compose$/;"	i
Compose	.\mmseg\datasets\pipelines\compose.py	/^class Compose(object):$/;"	c
Compose	.\mmseg\datasets\pipelines\test_time_aug.py	/^from .compose import Compose$/;"	i
Compose	.\tests\test_config.py	/^    from mmseg.datasets.pipelines import Compose$/;"	i
ConcatDataset	.\mmseg\datasets\__init__.py	/^from .dataset_wrappers import ConcatDataset, RepeatDataset$/;"	i
ConcatDataset	.\mmseg\datasets\builder.py	/^    from .dataset_wrappers import ConcatDataset$/;"	i
ConcatDataset	.\mmseg\datasets\builder.py	/^    from .dataset_wrappers import ConcatDataset, RepeatDataset$/;"	i
ConcatDataset	.\mmseg\datasets\dataset_wrappers.py	/^class ConcatDataset(_ConcatDataset):$/;"	c
ConcatDataset	.\tests\test_data\test_dataset_builder.py	/^from mmseg.datasets import (DATASETS, ConcatDataset, build_dataloader,$/;"	i
Config	.\tests\test_config.py	/^    from mmcv import Config$/;"	i
Config	.\tests\test_config.py	/^from mmcv import Config$/;"	i
Config	.\tests\test_models\test_forward.py	/^    from mmcv import Config$/;"	i
Config	.\tools\benchmark.py	/^from mmcv import Config$/;"	i
Config	.\tools\get_flops.py	/^from mmcv import Config$/;"	i
Config	.\tools\print_config.py	/^from mmcv import Config, DictAction$/;"	i
Config	.\tools\train.py	/^from mmcv.utils import Config, DictAction, get_git_hash$/;"	i
ConfigDict	.\tests\test_models\test_heads.py	/^from mmcv.utils import ConfigDict$/;"	i
ConfigDict	.\tests\test_models\test_segmentor.py	/^from mmcv import ConfigDict$/;"	i
ContextBlock	.\mmseg\models\decode_heads\gc_head.py	/^from mmcv.cnn import ContextBlock$/;"	i
ContextGuidedBlock	.\mmseg\models\backbones\cgnet.py	/^class ContextGuidedBlock(nn.Module):$/;"	c
ContextGuidedBlock	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones.cgnet import (ContextGuidedBlock,$/;"	i
Conv2dAdaptivePadding	.\mmseg\models\backbones\mobilenet_v3.py	/^from mmcv.cnn.bricks import Conv2dAdaptivePadding$/;"	i
ConvModule	.\mmseg\models\backbones\cgnet.py	/^from mmcv.cnn import (ConvModule, build_conv_layer, build_norm_layer,$/;"	i
ConvModule	.\mmseg\models\backbones\fast_scnn.py	/^from mmcv.cnn import (ConvModule, DepthwiseSeparableConvModule, constant_init,$/;"	i
ConvModule	.\mmseg\models\backbones\mobilenet_v2.py	/^from mmcv.cnn import ConvModule, constant_init, kaiming_init$/;"	i
ConvModule	.\mmseg\models\backbones\mobilenet_v3.py	/^from mmcv.cnn import ConvModule, constant_init, kaiming_init$/;"	i
ConvModule	.\mmseg\models\backbones\unet.py	/^from mmcv.cnn import (UPSAMPLE_LAYERS, ConvModule, build_activation_layer,$/;"	i
ConvModule	.\mmseg\models\decode_heads\ann_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\apc_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\aspp_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\da_head.py	/^from mmcv.cnn import ConvModule, Scale$/;"	i
ConvModule	.\mmseg\models\decode_heads\dm_head.py	/^from mmcv.cnn import ConvModule, build_activation_layer, build_norm_layer$/;"	i
ConvModule	.\mmseg\models\decode_heads\ema_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\enc_head.py	/^from mmcv.cnn import ConvModule, build_norm_layer$/;"	i
ConvModule	.\mmseg\models\decode_heads\fcn_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\fpn_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\lraspp_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\ocr_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\point_head.py	/^from mmcv.cnn import ConvModule, normal_init$/;"	i
ConvModule	.\mmseg\models\decode_heads\psa_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\psp_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\sep_aspp_head.py	/^from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule$/;"	i
ConvModule	.\mmseg\models\decode_heads\uper_head.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\necks\fpn.py	/^from mmcv.cnn import ConvModule, xavier_init$/;"	i
ConvModule	.\mmseg\models\utils\inverted_residual.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\utils\se_layer.py	/^from mmcv.cnn import ConvModule$/;"	i
ConvModule	.\mmseg\models\utils\self_attention_block.py	/^from mmcv.cnn import ConvModule, constant_init$/;"	i
ConvModule	.\mmseg\models\utils\up_conv_block.py	/^from mmcv.cnn import ConvModule, build_upsample_layer$/;"	i
ConvModule	.\tests\test_models\test_heads.py	/^from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule$/;"	i
ConvModule	.\tests\test_models\test_unet.py	/^from mmcv.cnn import ConvModule$/;"	i
Conv_MLA	.\mmseg\models\backbones\vit_mla.py	/^class Conv_MLA(nn.Module):$/;"	c
CrissCrossAttention	.\mmseg\models\decode_heads\cc_head.py	/^    CrissCrossAttention = None$/;"	v
CrissCrossAttention	.\mmseg\models\decode_heads\cc_head.py	/^    from mmcv.ops import CrissCrossAttention$/;"	i
CrossEntropyLoss	.\mmseg\models\losses\__init__.py	/^from .cross_entropy_loss import (CrossEntropyLoss, binary_cross_entropy,$/;"	i
CrossEntropyLoss	.\mmseg\models\losses\cross_entropy_loss.py	/^class CrossEntropyLoss(nn.Module):$/;"	c
CustomDataset	.\mmseg\datasets\__init__.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\ade.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\chase_db1.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\cityscapes.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\custom.py	/^class CustomDataset(Dataset):$/;"	c
CustomDataset	.\mmseg\datasets\drive.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\hrf.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\pascal_context.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\stare.py	/^from .custom import CustomDataset$/;"	i
CustomDataset	.\mmseg\datasets\voc.py	/^from .custom import CustomDataset$/;"	i
DAHead	.\mmseg\models\decode_heads\__init__.py	/^from .da_head import DAHead$/;"	i
DAHead	.\mmseg\models\decode_heads\da_head.py	/^class DAHead(BaseDecodeHead):$/;"	c
DATASETS	.\mmseg\datasets\__init__.py	/^from .builder import DATASETS, PIPELINES, build_dataloader, build_dataset$/;"	i
DATASETS	.\mmseg\datasets\ade.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\builder.py	/^DATASETS = Registry('dataset')$/;"	v
DATASETS	.\mmseg\datasets\chase_db1.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\cityscapes.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\custom.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\dataset_wrappers.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\drive.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\hrf.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\pascal_context.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\stare.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\mmseg\datasets\voc.py	/^from .builder import DATASETS$/;"	i
DATASETS	.\tests\test_data\test_dataset.py	/^from mmseg.datasets import (DATASETS, ADE20KDataset, CityscapesDataset,$/;"	i
DATASETS	.\tests\test_data\test_dataset_builder.py	/^from mmseg.datasets import (DATASETS, ConcatDataset, build_dataloader,$/;"	i
DC	.\mmseg\datasets\pipelines\formating.py	/^from mmcv.parallel import DataContainer as DC$/;"	i
DCM	.\mmseg\models\decode_heads\dm_head.py	/^class DCM(nn.Module):$/;"	c
DMHead	.\mmseg\models\decode_heads\__init__.py	/^from .dm_head import DMHead$/;"	i
DMHead	.\mmseg\models\decode_heads\dm_head.py	/^class DMHead(BaseDecodeHead):$/;"	c
DNLHead	.\mmseg\models\decode_heads\__init__.py	/^from .dnl_head import DNLHead$/;"	i
DNLHead	.\mmseg\models\decode_heads\dnl_head.py	/^class DNLHead(FCNHead):$/;"	c
DRIVEDataset	.\mmseg\datasets\__init__.py	/^from .drive import DRIVEDataset$/;"	i
DRIVEDataset	.\mmseg\datasets\drive.py	/^class DRIVEDataset(CustomDataset):$/;"	c
DataLoader	.\mmseg\core\evaluation\eval_hooks.py	/^from torch.utils.data import DataLoader$/;"	i
DataLoader	.\mmseg\datasets\builder.py	/^from mmcv.utils.parrots_wrapper import DataLoader, PoolDataLoader$/;"	i
DataLoader	.\tests\test_eval_hook.py	/^from torch.utils.data import DataLoader, Dataset$/;"	i
Dataset	.\mmseg\datasets\custom.py	/^from torch.utils.data import Dataset$/;"	i
Dataset	.\tests\test_eval_hook.py	/^from torch.utils.data import DataLoader, Dataset$/;"	i
DeconvModule	.\mmseg\models\backbones\unet.py	/^class DeconvModule(nn.Module):$/;"	c
DeconvModule	.\tests\test_models\test_unet.py	/^from mmseg.models.backbones.unet import (BasicConvBlock, DeconvModule,$/;"	i
DefaultFormatBundle	.\mmseg\datasets\pipelines\formating.py	/^class DefaultFormatBundle(object):$/;"	c
DeformConv2dPack	.\tests\test_models\test_backbone.py	/^from mmcv.ops import DeformConv2dPack$/;"	i
DepthwiseSeparableASPPHead	.\mmseg\models\decode_heads\__init__.py	/^from .sep_aspp_head import DepthwiseSeparableASPPHead$/;"	i
DepthwiseSeparableASPPHead	.\mmseg\models\decode_heads\sep_aspp_head.py	/^class DepthwiseSeparableASPPHead(ASPPHead):$/;"	c
DepthwiseSeparableASPPModule	.\mmseg\models\decode_heads\sep_aspp_head.py	/^class DepthwiseSeparableASPPModule(ASPPModule):$/;"	c
DepthwiseSeparableConvModule	.\mmseg\models\backbones\fast_scnn.py	/^from mmcv.cnn import (ConvModule, DepthwiseSeparableConvModule, constant_init,$/;"	i
DepthwiseSeparableConvModule	.\mmseg\models\decode_heads\sep_aspp_head.py	/^from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule$/;"	i
DepthwiseSeparableConvModule	.\mmseg\models\decode_heads\sep_fcn_head.py	/^from mmcv.cnn import DepthwiseSeparableConvModule$/;"	i
DepthwiseSeparableConvModule	.\tests\test_models\test_heads.py	/^from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule$/;"	i
DepthwiseSeparableFCNHead	.\mmseg\models\decode_heads\__init__.py	/^from .sep_fcn_head import DepthwiseSeparableFCNHead$/;"	i
DepthwiseSeparableFCNHead	.\mmseg\models\decode_heads\sep_fcn_head.py	/^class DepthwiseSeparableFCNHead(FCNHead):$/;"	c
Detail	.\tools\convert_datasets\pascal_context.py	/^from detail import Detail$/;"	i
DictAction	.\tools\print_config.py	/^from mmcv import Config, DictAction$/;"	i
DictAction	.\tools\test.py	/^from mmcv.utils import DictAction$/;"	i
DictAction	.\tools\train.py	/^from mmcv.utils import Config, DictAction, get_git_hash$/;"	i
DisentangledNonLocal2d	.\mmseg\models\decode_heads\dnl_head.py	/^class DisentangledNonLocal2d(NonLocal2d):$/;"	c
DistEvalHook	.\mmseg\apis\train.py	/^from mmseg.core import DistEvalHook, EvalHook$/;"	i
DistEvalHook	.\mmseg\core\evaluation\__init__.py	/^from .eval_hooks import DistEvalHook, EvalHook$/;"	i
DistEvalHook	.\mmseg\core\evaluation\eval_hooks.py	/^class DistEvalHook(EvalHook):$/;"	c
DistEvalHook	.\tests\test_eval_hook.py	/^from mmseg.core import DistEvalHook, EvalHook$/;"	i
DistributedSampler	.\mmseg\datasets\builder.py	/^from torch.utils.data import DistributedSampler$/;"	i
DistributedSampler	.\tests\test_data\test_dataset_builder.py	/^from torch.utils.data import (DistributedSampler, RandomSampler,$/;"	i
DropBlock2d	.\mmseg\models\backbones\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
DropBlock2d	.\mmseg\models\backbones\layers\drop.py	/^class DropBlock2d(nn.Module):$/;"	c
DropBlock2d	.\mmseg\models\decode_heads\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
DropBlock2d	.\mmseg\models\decode_heads\layers\drop.py	/^class DropBlock2d(nn.Module):$/;"	c
DropPath	.\mmseg\models\backbones\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
DropPath	.\mmseg\models\backbones\layers\drop.py	/^class DropPath(nn.Module):$/;"	c
DropPath	.\mmseg\models\backbones\pvt.py	/^from timm.models.layers import DropPath, to_2tuple, trunc_normal_$/;"	i
DropPath	.\mmseg\models\backbones\pvt_dia.py	/^from timm.models.layers import DropPath, to_2tuple, trunc_normal_$/;"	i
DropPath	.\mmseg\models\backbones\vit.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
DropPath	.\mmseg\models\backbones\vit_mla.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
DropPath	.\mmseg\models\decode_heads\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
DropPath	.\mmseg\models\decode_heads\layers\drop.py	/^class DropPath(nn.Module):$/;"	c
DropPath	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
DropPath	.\mmseg\models\decode_heads\vit_mla_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
DropPath	.\mmseg\models\decode_heads\vit_up_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
EMAHead	.\mmseg\models\decode_heads\__init__.py	/^from .ema_head import EMAHead$/;"	i
EMAHead	.\mmseg\models\decode_heads\ema_head.py	/^class EMAHead(BaseDecodeHead):$/;"	c
EMAModule	.\mmseg\models\decode_heads\ema_head.py	/^class EMAModule(nn.Module):$/;"	c
ENDPOINT	.\.dev\upload_modelzoo.py	/^ENDPOINT = 'https:\/\/oss-accelerate.aliyuncs.com'$/;"	v
EncHead	.\mmseg\models\decode_heads\__init__.py	/^from .enc_head import EncHead$/;"	i
EncHead	.\mmseg\models\decode_heads\enc_head.py	/^class EncHead(BaseDecodeHead):$/;"	c
EncModule	.\mmseg\models\decode_heads\enc_head.py	/^class EncModule(nn.Module):$/;"	c
EncoderDecoder	.\mmseg\models\segmentors\__init__.py	/^from .encoder_decoder import EncoderDecoder$/;"	i
EncoderDecoder	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^from .encoder_decoder import EncoderDecoder$/;"	i
EncoderDecoder	.\mmseg\models\segmentors\encoder_decoder.py	/^class EncoderDecoder(BaseSegmentor):$/;"	c
Encoding	.\mmseg\models\decode_heads\enc_head.py	/^from mmseg.ops import Encoding, resize$/;"	i
Encoding	.\mmseg\ops\__init__.py	/^from .encoding import Encoding$/;"	i
Encoding	.\mmseg\ops\encoding.py	/^class Encoding(nn.Module):$/;"	c
EvalHook	.\mmseg\apis\train.py	/^from mmseg.core import DistEvalHook, EvalHook$/;"	i
EvalHook	.\mmseg\core\evaluation\__init__.py	/^from .eval_hooks import DistEvalHook, EvalHook$/;"	i
EvalHook	.\mmseg\core\evaluation\eval_hooks.py	/^class EvalHook(Hook):$/;"	c
EvalHook	.\tests\test_eval_hook.py	/^from mmseg.core import DistEvalHook, EvalHook$/;"	i
ExampleBackbone	.\tests\test_models\test_segmentor.py	/^class ExampleBackbone(nn.Module):$/;"	c
ExampleCascadeDecodeHead	.\tests\test_models\test_segmentor.py	/^class ExampleCascadeDecodeHead(BaseCascadeDecodeHead):$/;"	c
ExampleDataset	.\tests\test_eval_hook.py	/^class ExampleDataset(Dataset):$/;"	c
ExampleDecodeHead	.\tests\test_models\test_segmentor.py	/^class ExampleDecodeHead(BaseDecodeHead):$/;"	c
ExampleModel	.\tests\test_eval_hook.py	/^class ExampleModel(nn.Module):$/;"	c
F	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\backbones\helpers.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\backbones\layers\drop.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\backbones\pvt.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\backbones\pvt_dia.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\backbones\resnest.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\backbones\vit.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\backbones\vit_mla.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\apc_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\da_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\dm_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\ema_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\enc_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\helpers.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\layers\drop.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\ocr_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\psa_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\vit_mla_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\decode_heads\vit_up_head.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\losses\cross_entropy_loss.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\losses\lovasz_loss.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\losses\utils.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\necks\fpn.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\segmentors\encoder_decoder.py	/^import torch.nn.functional as F$/;"	i
F	.\mmseg\models\utils\self_attention_block.py	/^from torch.nn import functional as F$/;"	i
F	.\mmseg\ops\encoding.py	/^from torch.nn import functional as F$/;"	i
F	.\mmseg\ops\wrappers.py	/^import torch.nn.functional as F$/;"	i
F401	.\mmseg\core\__init__.py	/^from .evaluation import *  # noqa: F401, F403$/;"	i
F401	.\mmseg\core\__init__.py	/^from .seg import *  # noqa: F401, F403$/;"	i
F401	.\mmseg\core\__init__.py	/^from .utils import *  # noqa: F401, F403$/;"	i
F401	.\mmseg\models\__init__.py	/^from .backbones import *  # noqa: F401,F403$/;"	i
F401	.\mmseg\models\__init__.py	/^from .decode_heads import *  # noqa: F401,F403$/;"	i
F401	.\mmseg\models\__init__.py	/^from .losses import *  # noqa: F401,F403$/;"	i
F401	.\mmseg\models\__init__.py	/^from .necks import *  # noqa: F401,F403$/;"	i
F401	.\mmseg\models\__init__.py	/^from .segmentors import *  # noqa: F401,F403$/;"	i
F401	.\mmseg\models\backbones\helpers.py	/^from urllib.parse import urlparse  # noqa: F401$/;"	i
F403	.\mmseg\core\__init__.py	/^from .evaluation import *  # noqa: F401, F403$/;"	i
F403	.\mmseg\core\__init__.py	/^from .seg import *  # noqa: F401, F403$/;"	i
F403	.\mmseg\core\__init__.py	/^from .utils import *  # noqa: F401, F403$/;"	i
F403	.\mmseg\models\__init__.py	/^from .backbones import *  # noqa: F401,F403$/;"	i
F403	.\mmseg\models\__init__.py	/^from .decode_heads import *  # noqa: F401,F403$/;"	i
F403	.\mmseg\models\__init__.py	/^from .losses import *  # noqa: F401,F403$/;"	i
F403	.\mmseg\models\__init__.py	/^from .necks import *  # noqa: F401,F403$/;"	i
F403	.\mmseg\models\__init__.py	/^from .segmentors import *  # noqa: F401,F403$/;"	i
FCNHead	.\mmseg\models\decode_heads\__init__.py	/^from .fcn_head import FCNHead$/;"	i
FCNHead	.\mmseg\models\decode_heads\cc_head.py	/^from .fcn_head import FCNHead$/;"	i
FCNHead	.\mmseg\models\decode_heads\dnl_head.py	/^from .fcn_head import FCNHead$/;"	i
FCNHead	.\mmseg\models\decode_heads\fcn_head.py	/^class FCNHead(BaseDecodeHead):$/;"	c
FCNHead	.\mmseg\models\decode_heads\gc_head.py	/^from .fcn_head import FCNHead$/;"	i
FCNHead	.\mmseg\models\decode_heads\nl_head.py	/^from .fcn_head import FCNHead$/;"	i
FCNHead	.\mmseg\models\decode_heads\sep_fcn_head.py	/^from .fcn_head import FCNHead$/;"	i
FCNHead	.\tests\test_sampler.py	/^from mmseg.models.decode_heads import FCNHead$/;"	i
FPN	.\mmseg\models\necks\__init__.py	/^from .fpn import FPN$/;"	i
FPN	.\mmseg\models\necks\fpn.py	/^class FPN(nn.Module):$/;"	c
FPN	.\tests\test_models\test_necks.py	/^from mmseg.models import FPN$/;"	i
FPNHead	.\mmseg\models\decode_heads\__init__.py	/^from .fpn_head import FPNHead$/;"	i
FPNHead	.\mmseg\models\decode_heads\fpn_head.py	/^class FPNHead(BaseDecodeHead):$/;"	c
FastSCNN	.\mmseg\models\backbones\__init__.py	/^from .fast_scnn import FastSCNN$/;"	i
FastSCNN	.\mmseg\models\backbones\fast_scnn.py	/^class FastSCNN(nn.Module):$/;"	c
FastSCNN	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones import (CGNet, FastSCNN, MobileNetV3, ResNeSt,$/;"	i
FeatureFusionModule	.\mmseg\models\backbones\fast_scnn.py	/^class FeatureFusionModule(nn.Module):$/;"	c
GCHead	.\mmseg\models\decode_heads\__init__.py	/^from .gc_head import GCHead$/;"	i
GCHead	.\mmseg\models\decode_heads\gc_head.py	/^class GCHead(FCNHead):$/;"	c
GlobalContextExtractor	.\mmseg\models\backbones\cgnet.py	/^class GlobalContextExtractor(nn.Module):$/;"	c
GlobalFeatureExtractor	.\mmseg\models\backbones\fast_scnn.py	/^class GlobalFeatureExtractor(nn.Module):$/;"	c
GroupNorm	.\tests\test_models\test_backbone.py	/^from torch.nn.modules import AvgPool2d, GroupNorm$/;"	i
HASH_REGEX	.\mmseg\models\backbones\helpers.py	/^HASH_REGEX = re.compile(r'-([a-f0-9]*)\\.')$/;"	v
HEADS	.\mmseg\models\__init__.py	/^from .builder import (BACKBONES, HEADS, LOSSES, SEGMENTORS, build_backbone,$/;"	i
HEADS	.\mmseg\models\builder.py	/^HEADS = Registry('head')$/;"	v
HEADS	.\mmseg\models\decode_heads\ann_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\apc_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\aspp_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\cc_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\da_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\dm_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\dnl_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\ema_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\enc_head.py	/^from ..builder import HEADS, build_loss$/;"	i
HEADS	.\mmseg\models\decode_heads\fcn_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\fpn_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\gc_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\lraspp_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\nl_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\ocr_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\point_head.py	/^from mmseg.models.builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\psa_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\psp_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\sep_aspp_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\sep_fcn_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\uper_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\vit_mla_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\mmseg\models\decode_heads\vit_up_head.py	/^from ..builder import HEADS$/;"	i
HEADS	.\tests\test_models\test_segmentor.py	/^from mmseg.models import BACKBONES, HEADS, build_segmentor$/;"	i
HRFDataset	.\mmseg\datasets\__init__.py	/^from .hrf import HRFDataset$/;"	i
HRFDataset	.\mmseg\datasets\hrf.py	/^class HRFDataset(CustomDataset):$/;"	c
HRF_LEN	.\tools\convert_datasets\hrf.py	/^HRF_LEN = 15$/;"	v
HRModule	.\mmseg\models\backbones\hrnet.py	/^class HRModule(nn.Module):$/;"	c
HRNet	.\mmseg\models\backbones\__init__.py	/^from .hrnet import HRNet$/;"	i
HRNet	.\mmseg\models\backbones\hrnet.py	/^class HRNet(nn.Module):$/;"	c
Hook	.\mmseg\core\evaluation\eval_hooks.py	/^from mmcv.runner import Hook$/;"	i
HybridEmbed	.\mmseg\models\backbones\vit.py	/^class HybridEmbed(nn.Module):$/;"	c
HybridEmbed	.\mmseg\models\backbones\vit_mla.py	/^class HybridEmbed(nn.Module):$/;"	c
Image	.\mmseg\datasets\cityscapes.py	/^from PIL import Image$/;"	i
Image	.\tests\test_data\test_transform.py	/^from PIL import Image$/;"	i
Image	.\tools\convert_datasets\pascal_context.py	/^from PIL import Image$/;"	i
Image	.\tools\convert_datasets\voc_aug.py	/^from PIL import Image$/;"	i
ImageToTensor	.\mmseg\datasets\pipelines\__init__.py	/^from .formating import (Collect, ImageToTensor, ToDataContainer, ToTensor,$/;"	i
ImageToTensor	.\mmseg\datasets\pipelines\formating.py	/^class ImageToTensor(object):$/;"	c
InputInjection	.\mmseg\models\backbones\cgnet.py	/^class InputInjection(nn.Module):$/;"	c
InterpConv	.\mmseg\models\backbones\unet.py	/^class InterpConv(nn.Module):$/;"	c
InvertedResidual	.\mmseg\models\backbones\fast_scnn.py	/^from ..utils.inverted_residual import InvertedResidual$/;"	i
InvertedResidual	.\mmseg\models\backbones\mobilenet_v2.py	/^from ..utils import InvertedResidual, make_divisible$/;"	i
InvertedResidual	.\mmseg\models\backbones\mobilenet_v3.py	/^from ..utils import InvertedResidualV3 as InvertedResidual$/;"	i
InvertedResidual	.\mmseg\models\utils\__init__.py	/^from .inverted_residual import InvertedResidual, InvertedResidualV3$/;"	i
InvertedResidual	.\mmseg\models\utils\inverted_residual.py	/^class InvertedResidual(nn.Module):$/;"	c
InvertedResidual	.\tests\test_utils\test_inverted_residual_module.py	/^from mmseg.models.utils import InvertedResidual, InvertedResidualV3$/;"	i
InvertedResidualV3	.\mmseg\models\utils\__init__.py	/^from .inverted_residual import InvertedResidual, InvertedResidualV3$/;"	i
InvertedResidualV3	.\mmseg\models\utils\inverted_residual.py	/^class InvertedResidualV3(nn.Module):$/;"	c
InvertedResidualV3	.\tests\test_utils\test_inverted_residual_module.py	/^from mmseg.models.utils import InvertedResidual, InvertedResidualV3$/;"	i
LOSSES	.\mmseg\models\__init__.py	/^from .builder import (BACKBONES, HEADS, LOSSES, SEGMENTORS, build_backbone,$/;"	i
LOSSES	.\mmseg\models\builder.py	/^LOSSES = Registry('loss')$/;"	v
LOSSES	.\mmseg\models\losses\cross_entropy_loss.py	/^from ..builder import LOSSES$/;"	i
LOSSES	.\mmseg\models\losses\lovasz_loss.py	/^from ..builder import LOSSES$/;"	i
LRASPPHead	.\mmseg\models\decode_heads\__init__.py	/^from .lraspp_head import LRASPPHead$/;"	i
LRASPPHead	.\mmseg\models\decode_heads\lraspp_head.py	/^class LRASPPHead(BaseDecodeHead):$/;"	c
LearningToDownsample	.\mmseg\models\backbones\fast_scnn.py	/^class LearningToDownsample(nn.Module):$/;"	c
LoadAnnotations	.\mmseg\datasets\pipelines\__init__.py	/^from .loading import LoadAnnotations, LoadImageFromFile$/;"	i
LoadAnnotations	.\mmseg\datasets\pipelines\loading.py	/^class LoadAnnotations(object):$/;"	c
LoadAnnotations	.\tests\test_data\test_loading.py	/^from mmseg.datasets.pipelines import LoadAnnotations, LoadImageFromFile$/;"	i
LoadImage	.\mmseg\apis\inference.py	/^class LoadImage:$/;"	c
LoadImageFromFile	.\mmseg\datasets\pipelines\__init__.py	/^from .loading import LoadAnnotations, LoadImageFromFile$/;"	i
LoadImageFromFile	.\mmseg\datasets\pipelines\loading.py	/^class LoadImageFromFile(object):$/;"	c
LoadImageFromFile	.\tests\test_data\test_loading.py	/^from mmseg.datasets.pipelines import LoadAnnotations, LoadImageFromFile$/;"	i
LovaszLoss	.\mmseg\models\losses\__init__.py	/^from .lovasz_loss import LovaszLoss$/;"	i
LovaszLoss	.\mmseg\models\losses\lovasz_loss.py	/^class LovaszLoss(nn.Module):$/;"	c
MLAHead	.\mmseg\models\decode_heads\vit_mla_head.py	/^class MLAHead(nn.Module):$/;"	c
MMCV_MAX	.\mmseg\__init__.py	/^MMCV_MAX = '1.3.0'$/;"	v
MMCV_MIN	.\mmseg\__init__.py	/^MMCV_MIN = '1.1.4'$/;"	v
MMDataParallel	.\mmseg\apis\train.py	/^from mmcv.parallel import MMDataParallel, MMDistributedDataParallel$/;"	i
MMDataParallel	.\tools\benchmark.py	/^from mmcv.parallel import MMDataParallel$/;"	i
MMDataParallel	.\tools\test.py	/^from mmcv.parallel import MMDataParallel, MMDistributedDataParallel$/;"	i
MMDistributedDataParallel	.\mmseg\apis\train.py	/^from mmcv.parallel import MMDataParallel, MMDistributedDataParallel$/;"	i
MMDistributedDataParallel	.\tools\test.py	/^from mmcv.parallel import MMDataParallel, MMDistributedDataParallel$/;"	i
MagicMock	.\tests\test_data\test_dataset.py	/^from unittest.mock import MagicMock, patch$/;"	i
MagicMock	.\tests\test_eval_hook.py	/^from unittest.mock import MagicMock, patch$/;"	i
Mlp	.\mmseg\models\backbones\pvt.py	/^class Mlp(nn.Module):$/;"	c
Mlp	.\mmseg\models\backbones\pvt_dia.py	/^class Mlp(nn.Module):$/;"	c
Mlp	.\mmseg\models\backbones\vit.py	/^class Mlp(nn.Module):$/;"	c
Mlp	.\mmseg\models\backbones\vit_mla.py	/^class Mlp(nn.Module):$/;"	c
MobileNetV2	.\mmseg\models\backbones\__init__.py	/^from .mobilenet_v2 import MobileNetV2$/;"	i
MobileNetV2	.\mmseg\models\backbones\mobilenet_v2.py	/^class MobileNetV2(nn.Module):$/;"	c
MobileNetV3	.\mmseg\models\backbones\__init__.py	/^from .mobilenet_v3 import MobileNetV3$/;"	i
MobileNetV3	.\mmseg\models\backbones\mobilenet_v3.py	/^class MobileNetV3(nn.Module):$/;"	c
MobileNetV3	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones import (CGNet, FastSCNN, MobileNetV3, ResNeSt,$/;"	i
MultiScaleFlipAug	.\mmseg\datasets\pipelines\__init__.py	/^from .test_time_aug import MultiScaleFlipAug$/;"	i
MultiScaleFlipAug	.\mmseg\datasets\pipelines\test_time_aug.py	/^class MultiScaleFlipAug(object):$/;"	c
NECKS	.\mmseg\models\builder.py	/^NECKS = Registry('neck')$/;"	v
NECKS	.\mmseg\models\necks\fpn.py	/^from ..builder import NECKS$/;"	i
NLHead	.\mmseg\models\decode_heads\__init__.py	/^from .nl_head import NLHead$/;"	i
NLHead	.\mmseg\models\decode_heads\nl_head.py	/^class NLHead(FCNHead):$/;"	c
NonLocal2d	.\mmseg\models\decode_heads\dnl_head.py	/^from mmcv.cnn import NonLocal2d$/;"	i
NonLocal2d	.\mmseg\models\decode_heads\nl_head.py	/^from mmcv.cnn import NonLocal2d$/;"	i
Normalize	.\mmseg\datasets\pipelines\__init__.py	/^from .transforms import (CLAHE, AdjustGamma, Normalize, Pad,$/;"	i
Normalize	.\mmseg\datasets\pipelines\transforms.py	/^class Normalize(object):$/;"	c
OCRHead	.\mmseg\models\decode_heads\__init__.py	/^from .ocr_head import OCRHead$/;"	i
OCRHead	.\mmseg\models\decode_heads\ocr_head.py	/^class OCRHead(BaseCascadeDecodeHead):$/;"	c
OHEMPixelSampler	.\mmseg\core\seg\__init__.py	/^from .sampler import BasePixelSampler, OHEMPixelSampler$/;"	i
OHEMPixelSampler	.\mmseg\core\seg\sampler\__init__.py	/^from .ohem_pixel_sampler import OHEMPixelSampler$/;"	i
OHEMPixelSampler	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^class OHEMPixelSampler(BasePixelSampler):$/;"	c
OHEMPixelSampler	.\tests\test_sampler.py	/^from mmseg.core import OHEMPixelSampler$/;"	i
ObjectAttentionBlock	.\mmseg\models\decode_heads\ocr_head.py	/^class ObjectAttentionBlock(_SelfAttentionBlock):$/;"	c
OrderedDict	.\mmseg\models\segmentors\base.py	/^from collections import OrderedDict$/;"	i
PALETTE	.\mmseg\datasets\ade.py	/^    PALETTE = [[120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50],$/;"	v	class:ADE20KDataset
PALETTE	.\mmseg\datasets\chase_db1.py	/^    PALETTE = [[120, 120, 120], [6, 230, 230]]$/;"	v	class:ChaseDB1Dataset
PALETTE	.\mmseg\datasets\cityscapes.py	/^    PALETTE = [[128, 64, 128], [244, 35, 232], [70, 70, 70], [102, 102, 156],$/;"	v	class:CityscapesDataset
PALETTE	.\mmseg\datasets\custom.py	/^    PALETTE = [[0, 0, 0], [40, 100, 150], [80, 150, 200], [120, 200, 10], [160, 10, 60],$/;"	v	class:CustomDataset
PALETTE	.\mmseg\datasets\drive.py	/^    PALETTE = [[120, 120, 120], [6, 230, 230]]$/;"	v	class:DRIVEDataset
PALETTE	.\mmseg\datasets\hrf.py	/^    PALETTE = [[120, 120, 120], [6, 230, 230]]$/;"	v	class:HRFDataset
PALETTE	.\mmseg\datasets\pascal_context.py	/^    PALETTE = [[120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50],$/;"	v	class:PascalContextDataset
PALETTE	.\mmseg\datasets\stare.py	/^    PALETTE = [[120, 120, 120], [6, 230, 230]]$/;"	v	class:STAREDataset
PALETTE	.\mmseg\datasets\voc.py	/^    PALETTE = [[0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0], [0, 0, 128],$/;"	v	class:PascalVOCDataset
PAM	.\mmseg\models\decode_heads\da_head.py	/^class PAM(_SelfAttentionBlock):$/;"	c
PIPELINES	.\mmseg\datasets\__init__.py	/^from .builder import DATASETS, PIPELINES, build_dataloader, build_dataset$/;"	i
PIPELINES	.\mmseg\datasets\builder.py	/^PIPELINES = Registry('pipeline')$/;"	v
PIPELINES	.\mmseg\datasets\pipelines\compose.py	/^from ..builder import PIPELINES$/;"	i
PIPELINES	.\mmseg\datasets\pipelines\formating.py	/^from ..builder import PIPELINES$/;"	i
PIPELINES	.\mmseg\datasets\pipelines\loading.py	/^from ..builder import PIPELINES$/;"	i
PIPELINES	.\mmseg\datasets\pipelines\test_time_aug.py	/^from ..builder import PIPELINES$/;"	i
PIPELINES	.\mmseg\datasets\pipelines\transforms.py	/^from ..builder import PIPELINES$/;"	i
PIPELINES	.\tests\test_data\test_transform.py	/^from mmseg.datasets.builder import PIPELINES$/;"	i
PIPELINES	.\tests\test_data\test_tta.py	/^from mmseg.datasets.builder import PIPELINES$/;"	i
PIXEL_SAMPLERS	.\mmseg\core\seg\builder.py	/^PIXEL_SAMPLERS = Registry('pixel sampler')$/;"	v
PIXEL_SAMPLERS	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^from ..builder import PIXEL_SAMPLERS$/;"	i
PPM	.\mmseg\models\backbones\fast_scnn.py	/^from mmseg.models.decode_heads.psp_head import PPM$/;"	i
PPM	.\mmseg\models\decode_heads\psp_head.py	/^class PPM(nn.ModuleList):$/;"	c
PPM	.\mmseg\models\decode_heads\uper_head.py	/^from .psp_head import PPM$/;"	i
PPMConcat	.\mmseg\models\decode_heads\ann_head.py	/^class PPMConcat(nn.ModuleList):$/;"	c
PSAHead	.\mmseg\models\decode_heads\__init__.py	/^from .psa_head import PSAHead$/;"	i
PSAHead	.\mmseg\models\decode_heads\psa_head.py	/^class PSAHead(BaseDecodeHead):$/;"	c
PSAMask	.\mmseg\models\decode_heads\psa_head.py	/^    PSAMask = None$/;"	v
PSAMask	.\mmseg\models\decode_heads\psa_head.py	/^    from mmcv.ops import PSAMask$/;"	i
PSPHead	.\mmseg\models\decode_heads\__init__.py	/^from .psp_head import PSPHead$/;"	i
PSPHead	.\mmseg\models\decode_heads\psp_head.py	/^class PSPHead(BaseDecodeHead):$/;"	c
Pad	.\mmseg\datasets\pipelines\__init__.py	/^from .transforms import (CLAHE, AdjustGamma, Normalize, Pad,$/;"	i
Pad	.\mmseg\datasets\pipelines\transforms.py	/^class Pad(object):$/;"	c
PascalContextDataset	.\mmseg\datasets\__init__.py	/^from .pascal_context import PascalContextDataset$/;"	i
PascalContextDataset	.\mmseg\datasets\pascal_context.py	/^class PascalContextDataset(CustomDataset):$/;"	c
PascalVOCDataset	.\mmseg\datasets\__init__.py	/^from .voc import PascalVOCDataset$/;"	i
PascalVOCDataset	.\mmseg\datasets\voc.py	/^class PascalVOCDataset(CustomDataset):$/;"	c
PatchEmbed	.\mmseg\models\backbones\pvt.py	/^class PatchEmbed(nn.Module):$/;"	c
PatchEmbed	.\mmseg\models\backbones\pvt_dia.py	/^class PatchEmbed(nn.Module):$/;"	c
PatchEmbed	.\mmseg\models\backbones\vit.py	/^class PatchEmbed(nn.Module):$/;"	c
PatchEmbed	.\mmseg\models\backbones\vit_mla.py	/^class PatchEmbed(nn.Module):$/;"	c
PhotoMetricDistortion	.\mmseg\datasets\pipelines\transforms.py	/^class PhotoMetricDistortion(object):$/;"	c
PointHead	.\mmseg\models\decode_heads\__init__.py	/^from .point_head import PointHead$/;"	i
PointHead	.\mmseg\models\decode_heads\point_head.py	/^class PointHead(BaseCascadeDecodeHead):$/;"	c
PoolDataLoader	.\mmseg\datasets\builder.py	/^from mmcv.utils.parrots_wrapper import DataLoader, PoolDataLoader$/;"	i
PyramidVisionTransformer	.\mmseg\models\backbones\pvt.py	/^class PyramidVisionTransformer(nn.Module):$/;"	c
PyramidVisionTransformer	.\mmseg\models\backbones\pvt_dia.py	/^class PyramidVisionTransformer(nn.Module):$/;"	c
RESULTS_LUT	.\.dev\gather_models.py	/^RESULTS_LUT = ['mIoU', 'mAcc', 'aAcc']$/;"	v
RGB2Gray	.\mmseg\datasets\pipelines\transforms.py	/^class RGB2Gray(object):$/;"	c
RSoftmax	.\mmseg\models\backbones\resnest.py	/^class RSoftmax(nn.Module):$/;"	c
RandomCrop	.\mmseg\datasets\pipelines\transforms.py	/^class RandomCrop(object):$/;"	c
RandomFlip	.\mmseg\datasets\pipelines\transforms.py	/^class RandomFlip(object):$/;"	c
RandomRotate	.\mmseg\datasets\pipelines\transforms.py	/^class RandomRotate(object):$/;"	c
RandomSampler	.\tests\test_data\test_dataset_builder.py	/^from torch.utils.data import (DistributedSampler, RandomSampler,$/;"	i
Registry	.\mmseg\core\seg\builder.py	/^from mmcv.utils import Registry, build_from_cfg$/;"	i
Registry	.\mmseg\datasets\builder.py	/^from mmcv.utils import Registry, build_from_cfg$/;"	i
Registry	.\mmseg\models\builder.py	/^from mmcv.utils import Registry, build_from_cfg$/;"	i
RepeatDataset	.\mmseg\datasets\__init__.py	/^from .dataset_wrappers import ConcatDataset, RepeatDataset$/;"	i
RepeatDataset	.\mmseg\datasets\builder.py	/^    from .dataset_wrappers import ConcatDataset, RepeatDataset$/;"	i
RepeatDataset	.\mmseg\datasets\dataset_wrappers.py	/^class RepeatDataset(object):$/;"	c
Rerange	.\mmseg\datasets\pipelines\transforms.py	/^class Rerange(object):$/;"	c
ResLayer	.\mmseg\models\backbones\resnest.py	/^from ..utils import ResLayer$/;"	i
ResLayer	.\mmseg\models\backbones\resnet.py	/^from ..utils import ResLayer$/;"	i
ResLayer	.\mmseg\models\backbones\resnext.py	/^from ..utils import ResLayer$/;"	i
ResLayer	.\mmseg\models\utils\__init__.py	/^from .res_layer import ResLayer$/;"	i
ResLayer	.\mmseg\models\utils\res_layer.py	/^class ResLayer(nn.Sequential):$/;"	c
ResLayer	.\tests\test_models\test_backbone.py	/^from mmseg.models.utils import ResLayer$/;"	i
ResNeSt	.\mmseg\models\backbones\__init__.py	/^from .resnest import ResNeSt$/;"	i
ResNeSt	.\mmseg\models\backbones\resnest.py	/^class ResNeSt(ResNetV1d):$/;"	c
ResNeSt	.\tests\test_models\test_backbone.py	/^from mmseg.models.backbones import (CGNet, FastSCNN, MobileNetV3, ResNeSt,$/;"	i
ResNeXt	.\mmseg\models\backbones\__init__.py	/^from .resnext import ResNeXt$/;"	i
ResNeXt	.\mmseg\models\backbones\resnext.py	/^class ResNeXt(ResNet):$/;"	c
ResNet	.\mmseg\models\backbones\__init__.py	/^from .resnet import ResNet, ResNetV1c, ResNetV1d$/;"	i
ResNet	.\mmseg\models\backbones\resnet.py	/^class ResNet(nn.Module):$/;"	c
ResNet	.\mmseg\models\backbones\resnext.py	/^from .resnet import ResNet$/;"	i
ResNetV1c	.\mmseg\models\backbones\__init__.py	/^from .resnet import ResNet, ResNetV1c, ResNetV1d$/;"	i
ResNetV1c	.\mmseg\models\backbones\resnet.py	/^class ResNetV1c(ResNet):$/;"	c
ResNetV1d	.\mmseg\models\backbones\__init__.py	/^from .resnet import ResNet, ResNetV1c, ResNetV1d$/;"	i
ResNetV1d	.\mmseg\models\backbones\resnest.py	/^from .resnet import ResNetV1d$/;"	i
ResNetV1d	.\mmseg\models\backbones\resnet.py	/^class ResNetV1d(ResNet):$/;"	c
Resize	.\mmseg\datasets\pipelines\transforms.py	/^class Resize(object):$/;"	c
SEGMENTORS	.\mmseg\models\__init__.py	/^from .builder import (BACKBONES, HEADS, LOSSES, SEGMENTORS, build_backbone,$/;"	i
SEGMENTORS	.\mmseg\models\builder.py	/^SEGMENTORS = Registry('segmentor')$/;"	v
SEGMENTORS	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^from ..builder import SEGMENTORS$/;"	i
SEGMENTORS	.\mmseg\models\segmentors\encoder_decoder.py	/^from ..builder import SEGMENTORS$/;"	i
SELayer	.\mmseg\models\utils\inverted_residual.py	/^from .se_layer import SELayer$/;"	i
SELayer	.\mmseg\models\utils\se_layer.py	/^class SELayer(nn.Module):$/;"	c
SELayer	.\tests\test_utils\test_se_layer.py	/^from mmseg.models.utils.se_layer import SELayer$/;"	i
SOURCEDIR	.\docs\make.bat	/^set SOURCEDIR=.$/;"	v
SPHINXBUILD	.\docs\make.bat	/^	set SPHINXBUILD=sphinx-build$/;"	v
STAREDataset	.\mmseg\datasets\__init__.py	/^from .stare import STAREDataset$/;"	i
STAREDataset	.\mmseg\datasets\stare.py	/^class STAREDataset(CustomDataset):$/;"	c
STARE_LEN	.\tools\convert_datasets\stare.py	/^STARE_LEN = 20$/;"	v
Scale	.\mmseg\models\decode_heads\da_head.py	/^from mmcv.cnn import ConvModule, Scale$/;"	i
SegRescale	.\mmseg\datasets\pipelines\transforms.py	/^class SegRescale(object):$/;"	c
SelfAttentionBlock	.\mmseg\models\decode_heads\ann_head.py	/^class SelfAttentionBlock(_SelfAttentionBlock):$/;"	c
SelfAttentionBlock	.\mmseg\models\utils\__init__.py	/^from .self_attention_block import SelfAttentionBlock$/;"	i
SelfAttentionBlock	.\mmseg\models\utils\self_attention_block.py	/^class SelfAttentionBlock(nn.Module):$/;"	c
Sequence	.\mmseg\datasets\pipelines\formating.py	/^from collections.abc import Sequence$/;"	i
SpatialGatherModule	.\mmseg\models\decode_heads\ocr_head.py	/^class SpatialGatherModule(nn.Module):$/;"	c
SplitAttentionConv2d	.\mmseg\models\backbones\resnest.py	/^class SplitAttentionConv2d(nn.Module):$/;"	c
SyncBatchNorm	.\tests\test_models\test_forward.py	/^from mmcv.utils.parrots_wrapper import SyncBatchNorm, _BatchNorm$/;"	i
SyncBatchNorm	.\tests\test_models\test_heads.py	/^from mmcv.utils.parrots_wrapper import SyncBatchNorm$/;"	i
TRAINING_LEN	.\tools\convert_datasets\chase_db1.py	/^TRAINING_LEN = 60$/;"	v
TRAINING_LEN	.\tools\convert_datasets\hrf.py	/^TRAINING_LEN = 5$/;"	v
TRAINING_LEN	.\tools\convert_datasets\stare.py	/^TRAINING_LEN = 10$/;"	v
TestLoading	.\tests\test_data\test_loading.py	/^class TestLoading(object):$/;"	c
ToDataContainer	.\mmseg\datasets\pipelines\__init__.py	/^from .formating import (Collect, ImageToTensor, ToDataContainer, ToTensor,$/;"	i
ToDataContainer	.\mmseg\datasets\pipelines\formating.py	/^class ToDataContainer(object):$/;"	c
ToTensor	.\mmseg\datasets\pipelines\__init__.py	/^from .formating import (Collect, ImageToTensor, ToDataContainer, ToTensor,$/;"	i
ToTensor	.\mmseg\datasets\pipelines\formating.py	/^class ToTensor(object):$/;"	c
ToyDataset	.\tests\test_data\test_dataset_builder.py	/^class ToyDataset(object):$/;"	c
Transpose	.\mmseg\datasets\pipelines\formating.py	/^class Transpose(object):$/;"	c
UNet	.\mmseg\models\backbones\__init__.py	/^from .unet import UNet$/;"	i
UNet	.\mmseg\models\backbones\unet.py	/^class UNet(nn.Module):$/;"	c
UPSAMPLE_LAYERS	.\mmseg\models\backbones\unet.py	/^from mmcv.cnn import (UPSAMPLE_LAYERS, ConvModule, build_activation_layer,$/;"	i
UPerHead	.\mmseg\models\decode_heads\__init__.py	/^from .uper_head import UPerHead$/;"	i
UPerHead	.\mmseg\models\decode_heads\uper_head.py	/^class UPerHead(BaseDecodeHead):$/;"	c
UpConvBlock	.\mmseg\models\backbones\unet.py	/^from ..utils import UpConvBlock$/;"	i
UpConvBlock	.\mmseg\models\utils\__init__.py	/^from .up_conv_block import UpConvBlock$/;"	i
UpConvBlock	.\mmseg\models\utils\up_conv_block.py	/^class UpConvBlock(nn.Module):$/;"	c
Upsample	.\mmseg\models\backbones\hrnet.py	/^from mmseg.ops import Upsample, resize$/;"	i
Upsample	.\mmseg\ops\__init__.py	/^from .wrappers import Upsample, resize$/;"	i
Upsample	.\mmseg\ops\wrappers.py	/^class Upsample(nn.Module):$/;"	c
VIT_MLA	.\mmseg\models\backbones\__init__.py	/^from .vit_mla import VIT_MLA$/;"	i
VIT_MLA	.\mmseg\models\backbones\vit_mla.py	/^class VIT_MLA(nn.Module):$/;"	c
VIT_MLAHead	.\mmseg\models\decode_heads\__init__.py	/^from .vit_mla_head import VIT_MLAHead$/;"	i
VIT_MLAHead	.\mmseg\models\decode_heads\vit_mla_head.py	/^class VIT_MLAHead(BaseDecodeHead):$/;"	c
VIT_MLA_AUXIHead	.\mmseg\models\decode_heads\__init__.py	/^from .vit_mla_auxi_head import VIT_MLA_AUXIHead$/;"	i
VIT_MLA_AUXIHead	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^class VIT_MLA_AUXIHead(BaseDecodeHead):$/;"	c
VisionTransformer	.\mmseg\models\backbones\__init__.py	/^from .vit import VisionTransformer$/;"	i
VisionTransformer	.\mmseg\models\backbones\vit.py	/^class VisionTransformer(nn.Module):$/;"	c
VisionTransformerUpHead	.\mmseg\models\decode_heads\__init__.py	/^from .vit_up_head import VisionTransformerUpHead$/;"	i
VisionTransformerUpHead	.\mmseg\models\decode_heads\vit_up_head.py	/^class VisionTransformerUpHead(BaseDecodeHead):$/;"	c
_BatchNorm	.\mmseg\models\backbones\cgnet.py	/^from mmcv.utils.parrots_wrapper import _BatchNorm$/;"	i
_BatchNorm	.\mmseg\models\backbones\fast_scnn.py	/^from torch.nn.modules.batchnorm import _BatchNorm$/;"	i
_BatchNorm	.\mmseg\models\backbones\hrnet.py	/^from mmcv.utils.parrots_wrapper import _BatchNorm$/;"	i
_BatchNorm	.\mmseg\models\backbones\mobilenet_v2.py	/^from torch.nn.modules.batchnorm import _BatchNorm$/;"	i
_BatchNorm	.\mmseg\models\backbones\mobilenet_v3.py	/^from torch.nn.modules.batchnorm import _BatchNorm$/;"	i
_BatchNorm	.\mmseg\models\backbones\resnet.py	/^from mmcv.utils.parrots_wrapper import _BatchNorm$/;"	i
_BatchNorm	.\mmseg\models\backbones\unet.py	/^from mmcv.utils.parrots_wrapper import _BatchNorm$/;"	i
_BatchNorm	.\tests\test_models\test_backbone.py	/^from mmcv.utils.parrots_wrapper import _BatchNorm$/;"	i
_BatchNorm	.\tests\test_models\test_forward.py	/^from mmcv.utils.parrots_wrapper import SyncBatchNorm, _BatchNorm$/;"	i
_BatchNorm	.\tests\test_models\test_unet.py	/^from mmcv.utils.parrots_wrapper import _BatchNorm$/;"	i
_Bottleneck	.\mmseg\models\backbones\resnest.py	/^from .resnet import Bottleneck as _Bottleneck$/;"	i
_Bottleneck	.\mmseg\models\backbones\resnext.py	/^from .resnet import Bottleneck as _Bottleneck$/;"	i
_C	.\tools\pytorch2onnx.py	/^import torch._C$/;"	i
_ConcatDataset	.\mmseg\datasets\dataset_wrappers.py	/^from torch.utils.data.dataset import ConcatDataset as _ConcatDataset$/;"	i
_SelfAttentionBlock	.\mmseg\models\decode_heads\ann_head.py	/^from ..utils import SelfAttentionBlock as _SelfAttentionBlock$/;"	i
_SelfAttentionBlock	.\mmseg\models\decode_heads\da_head.py	/^from ..utils import SelfAttentionBlock as _SelfAttentionBlock$/;"	i
_SelfAttentionBlock	.\mmseg\models\decode_heads\ocr_head.py	/^from ..utils import SelfAttentionBlock as _SelfAttentionBlock$/;"	i
__all__	.\mmseg\__init__.py	/^__all__ = ['__version__', 'version_info']$/;"	v
__all__	.\mmseg\apis\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\core\evaluation\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\core\seg\__init__.py	/^__all__ = ['build_pixel_sampler', 'BasePixelSampler', 'OHEMPixelSampler']$/;"	v
__all__	.\mmseg\core\seg\sampler\__init__.py	/^__all__ = ['BasePixelSampler', 'OHEMPixelSampler']$/;"	v
__all__	.\mmseg\core\utils\__init__.py	/^__all__ = ['add_prefix']$/;"	v
__all__	.\mmseg\datasets\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\datasets\pipelines\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\models\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\models\backbones\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\models\decode_heads\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\models\losses\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\models\necks\__init__.py	/^__all__ = ['FPN']$/;"	v
__all__	.\mmseg\models\segmentors\__init__.py	/^__all__ = ['EncoderDecoder', 'CascadeEncoderDecoder']$/;"	v
__all__	.\mmseg\models\utils\__init__.py	/^__all__ = [$/;"	v
__all__	.\mmseg\ops\__init__.py	/^__all__ = ['Upsample', 'resize', 'Encoding']$/;"	v
__all__	.\mmseg\utils\__init__.py	/^__all__ = ['get_root_logger', 'collect_env']$/;"	v
__call__	.\mmseg\apis\inference.py	/^    def __call__(self, results):$/;"	m	class:LoadImage	file:
__call__	.\mmseg\datasets\pipelines\compose.py	/^    def __call__(self, data):$/;"	m	class:Compose	file:
__call__	.\mmseg\datasets\pipelines\formating.py	/^    def __call__(self, results):$/;"	m	class:Collect	file:
__call__	.\mmseg\datasets\pipelines\formating.py	/^    def __call__(self, results):$/;"	m	class:DefaultFormatBundle	file:
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__call__	.\mmseg\datasets\pipelines\formating.py	/^    def __call__(self, results):$/;"	m	class:ToDataContainer	file:
__call__	.\mmseg\datasets\pipelines\formating.py	/^    def __call__(self, results):$/;"	m	class:ToTensor	file:
__call__	.\mmseg\datasets\pipelines\formating.py	/^    def __call__(self, results):$/;"	m	class:Transpose	file:
__call__	.\mmseg\datasets\pipelines\loading.py	/^    def __call__(self, results):$/;"	m	class:LoadAnnotations	file:
__call__	.\mmseg\datasets\pipelines\loading.py	/^    def __call__(self, results):$/;"	m	class:LoadImageFromFile	file:
__call__	.\mmseg\datasets\pipelines\test_time_aug.py	/^    def __call__(self, results):$/;"	m	class:MultiScaleFlipAug	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:AdjustGamma	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:CLAHE	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:Normalize	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:Pad	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:PhotoMetricDistortion	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:RGB2Gray	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:RandomCrop	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:RandomFlip	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:RandomRotate	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:Rerange	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:Resize	file:
__call__	.\mmseg\datasets\pipelines\transforms.py	/^    def __call__(self, results):$/;"	m	class:SegRescale	file:
__getitem__	.\mmseg\datasets\custom.py	/^    def __getitem__(self, idx):$/;"	m	class:CustomDataset	file:
__getitem__	.\mmseg\datasets\dataset_wrappers.py	/^    def __getitem__(self, idx):$/;"	m	class:RepeatDataset	file:
__getitem__	.\tests\test_eval_hook.py	/^    def __getitem__(self, idx):$/;"	m	class:ExampleDataset	file:
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__init__	.\mmseg\core\seg\sampler\base_pixel_sampler.py	/^    def __init__(self, **kwargs):$/;"	m	class:BasePixelSampler
__init__	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^    def __init__(self, context, thresh=None, min_kept=100000):$/;"	m	class:OHEMPixelSampler
__init__	.\mmseg\datasets\ade.py	/^    def __init__(self, **kwargs):$/;"	m	class:ADE20KDataset
__init__	.\mmseg\datasets\chase_db1.py	/^    def __init__(self, **kwargs):$/;"	m	class:ChaseDB1Dataset
__init__	.\mmseg\datasets\cityscapes.py	/^    def __init__(self, **kwargs):$/;"	m	class:CityscapesDataset
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__init__	.\mmseg\datasets\drive.py	/^    def __init__(self, **kwargs):$/;"	m	class:DRIVEDataset
__init__	.\mmseg\datasets\hrf.py	/^    def __init__(self, **kwargs):$/;"	m	class:HRFDataset
__init__	.\mmseg\datasets\pascal_context.py	/^    def __init__(self, split, **kwargs):$/;"	m	class:PascalContextDataset
__init__	.\mmseg\datasets\pipelines\compose.py	/^    def __init__(self, transforms):$/;"	m	class:Compose
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__init__	.\mmseg\datasets\pipelines\loading.py	/^    def __init__(self,$/;"	m	class:LoadImageFromFile
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__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self, crop_size, cat_max_ratio=1., ignore_index=255):$/;"	m	class:RandomCrop
__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self, gamma=1.0):$/;"	m	class:AdjustGamma
__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self, mean, std, to_rgb=True):$/;"	m	class:Normalize
__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self, min_value=0, max_value=255):$/;"	m	class:Rerange
__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self, out_channels=None, weights=(0.299, 0.587, 0.114)):$/;"	m	class:RGB2Gray
__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self, prob=None, direction='horizontal'):$/;"	m	class:RandomFlip
__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self, scale_factor=1):$/;"	m	class:SegRescale
__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self,$/;"	m	class:Pad
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__init__	.\mmseg\datasets\pipelines\transforms.py	/^    def __init__(self,$/;"	m	class:Resize
__init__	.\mmseg\datasets\stare.py	/^    def __init__(self, **kwargs):$/;"	m	class:STAREDataset
__init__	.\mmseg\datasets\voc.py	/^    def __init__(self, split, **kwargs):$/;"	m	class:PascalVOCDataset
__init__	.\mmseg\models\backbones\cgnet.py	/^    def __init__(self, channel, reduction=16, with_cp=False):$/;"	m	class:GlobalContextExtractor
__init__	.\mmseg\models\backbones\cgnet.py	/^    def __init__(self, num_downsampling):$/;"	m	class:InputInjection
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__init__	.\mmseg\models\backbones\cgnet.py	/^    def __init__(self,$/;"	m	class:ContextGuidedBlock
__init__	.\mmseg\models\backbones\fast_scnn.py	/^    def __init__(self,$/;"	m	class:FastSCNN
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__init__	.\mmseg\models\backbones\hrnet.py	/^    def __init__(self,$/;"	m	class:HRModule
__init__	.\mmseg\models\backbones\hrnet.py	/^    def __init__(self,$/;"	m	class:HRNet
__init__	.\mmseg\models\backbones\layers\drop.py	/^    def __init__(self, drop_prob=None):$/;"	m	class:DropPath
__init__	.\mmseg\models\backbones\layers\drop.py	/^    def __init__(self,$/;"	m	class:DropBlock2d
__init__	.\mmseg\models\backbones\mobilenet_v2.py	/^    def __init__(self,$/;"	m	class:MobileNetV2
__init__	.\mmseg\models\backbones\mobilenet_v3.py	/^    def __init__(self,$/;"	m	class:MobileNetV3
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, **kwargs):$/;"	m	class:pvt_large
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, **kwargs):$/;"	m	class:pvt_small
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, **kwargs):$/;"	m	class:pvt_small_f4
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, **kwargs):$/;"	m	class:pvt_tiny
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,$/;"	m	class:Block
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1):$/;"	m	class:Attention
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768):$/;"	m	class:PatchEmbed
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512],$/;"	m	class:PyramidVisionTransformer
__init__	.\mmseg\models\backbones\pvt.py	/^    def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.):$/;"	m	class:Mlp
__init__	.\mmseg\models\backbones\pvt_dia.py	/^    def __init__(self, **kwargs):$/;"	m	class:pvt_small_dia
__init__	.\mmseg\models\backbones\pvt_dia.py	/^    def __init__(self, **kwargs):$/;"	m	class:pvt_tiny_dia
__init__	.\mmseg\models\backbones\pvt_dia.py	/^    def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,$/;"	m	class:Block
__init__	.\mmseg\models\backbones\pvt_dia.py	/^    def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1):$/;"	m	class:Attention
__init__	.\mmseg\models\backbones\pvt_dia.py	/^    def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768, dilation=1):$/;"	m	class:PatchEmbed
__init__	.\mmseg\models\backbones\pvt_dia.py	/^    def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512],$/;"	m	class:PyramidVisionTransformer
__init__	.\mmseg\models\backbones\pvt_dia.py	/^    def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.):$/;"	m	class:Mlp
__init__	.\mmseg\models\backbones\resnest.py	/^    def __init__(self, radix, groups):$/;"	m	class:RSoftmax
__init__	.\mmseg\models\backbones\resnest.py	/^    def __init__(self,$/;"	m	class:Bottleneck
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__init__	.\mmseg\models\backbones\resnet.py	/^    def __init__(self, **kwargs):$/;"	m	class:ResNetV1c
__init__	.\mmseg\models\backbones\resnet.py	/^    def __init__(self, **kwargs):$/;"	m	class:ResNetV1d
__init__	.\mmseg\models\backbones\resnet.py	/^    def __init__(self,$/;"	m	class:BasicBlock
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__init__	.\mmseg\models\backbones\resnet.py	/^    def __init__(self,$/;"	m	class:ResNet
__init__	.\mmseg\models\backbones\resnext.py	/^    def __init__(self, groups=1, base_width=4, **kwargs):$/;"	m	class:ResNeXt
__init__	.\mmseg\models\backbones\resnext.py	/^    def __init__(self,$/;"	m	class:Bottleneck
__init__	.\mmseg\models\backbones\unet.py	/^    def __init__(self,$/;"	m	class:BasicConvBlock
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__init__	.\mmseg\models\backbones\unet.py	/^    def __init__(self,$/;"	m	class:UNet
__init__	.\mmseg\models\backbones\vit.py	/^    def __init__(self, backbone, img_size=224, feature_size=None, in_chans=3, embed_dim=768):$/;"	m	class:HybridEmbed
__init__	.\mmseg\models\backbones\vit.py	/^    def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,$/;"	m	class:Block
__init__	.\mmseg\models\backbones\vit.py	/^    def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.):$/;"	m	class:Attention
__init__	.\mmseg\models\backbones\vit.py	/^    def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768):$/;"	m	class:PatchEmbed
__init__	.\mmseg\models\backbones\vit.py	/^    def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.):$/;"	m	class:Mlp
__init__	.\mmseg\models\backbones\vit.py	/^    def __init__(self, model_name='vit_large_patch16_384', img_size=384, patch_size=16, in_chans=3, embed_dim=1024, depth=24,$/;"	m	class:VisionTransformer
__init__	.\mmseg\models\backbones\vit_mla.py	/^    def __init__(self, backbone, img_size=224, feature_size=None, in_chans=3, embed_dim=768):$/;"	m	class:HybridEmbed
__init__	.\mmseg\models\backbones\vit_mla.py	/^    def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,$/;"	m	class:Block
__init__	.\mmseg\models\backbones\vit_mla.py	/^    def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.):$/;"	m	class:Attention
__init__	.\mmseg\models\backbones\vit_mla.py	/^    def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768):$/;"	m	class:PatchEmbed
__init__	.\mmseg\models\backbones\vit_mla.py	/^    def __init__(self, in_channels=1024, mla_channels=256, norm_cfg=None):$/;"	m	class:Conv_MLA
__init__	.\mmseg\models\backbones\vit_mla.py	/^    def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.):$/;"	m	class:Mlp
__init__	.\mmseg\models\backbones\vit_mla.py	/^    def __init__(self, model_name='vit_large_patch16_384', img_size=384, patch_size=16, in_chans=3, embed_dim=1024, depth=24,$/;"	m	class:VIT_MLA
__init__	.\mmseg\models\decode_heads\ann_head.py	/^    def __init__(self, in_channels, channels, out_channels, query_scales,$/;"	m	class:APNB
__init__	.\mmseg\models\decode_heads\ann_head.py	/^    def __init__(self, low_in_channels, high_in_channels, channels,$/;"	m	class:AFNB
__init__	.\mmseg\models\decode_heads\ann_head.py	/^    def __init__(self, low_in_channels, high_in_channels, channels,$/;"	m	class:SelfAttentionBlock
__init__	.\mmseg\models\decode_heads\ann_head.py	/^    def __init__(self, pool_scales=(1, 3, 6, 8)):$/;"	m	class:PPMConcat
__init__	.\mmseg\models\decode_heads\ann_head.py	/^    def __init__(self,$/;"	m	class:ANNHead
__init__	.\mmseg\models\decode_heads\apc_head.py	/^    def __init__(self, pool_scale, fusion, in_channels, channels, conv_cfg,$/;"	m	class:ACM
__init__	.\mmseg\models\decode_heads\apc_head.py	/^    def __init__(self, pool_scales=(1, 2, 3, 6), fusion=True, **kwargs):$/;"	m	class:APCHead
__init__	.\mmseg\models\decode_heads\aspp_head.py	/^    def __init__(self, dilations, in_channels, channels, conv_cfg, norm_cfg,$/;"	m	class:ASPPModule
__init__	.\mmseg\models\decode_heads\aspp_head.py	/^    def __init__(self, dilations=(1, 6, 12, 18), **kwargs):$/;"	m	class:ASPPHead
__init__	.\mmseg\models\decode_heads\cascade_decode_head.py	/^    def __init__(self, *args, **kwargs):$/;"	m	class:BaseCascadeDecodeHead
__init__	.\mmseg\models\decode_heads\cc_head.py	/^    def __init__(self, recurrence=2, **kwargs):$/;"	m	class:CCHead
__init__	.\mmseg\models\decode_heads\da_head.py	/^    def __init__(self):$/;"	m	class:CAM
__init__	.\mmseg\models\decode_heads\da_head.py	/^    def __init__(self, in_channels, channels):$/;"	m	class:PAM
__init__	.\mmseg\models\decode_heads\da_head.py	/^    def __init__(self, pam_channels, **kwargs):$/;"	m	class:DAHead
__init__	.\mmseg\models\decode_heads\decode_head.py	/^    def __init__(self,$/;"	m	class:BaseDecodeHead
__init__	.\mmseg\models\decode_heads\dm_head.py	/^    def __init__(self, filter_size, fusion, in_channels, channels, conv_cfg,$/;"	m	class:DCM
__init__	.\mmseg\models\decode_heads\dm_head.py	/^    def __init__(self, filter_sizes=(1, 3, 5, 7), fusion=False, **kwargs):$/;"	m	class:DMHead
__init__	.\mmseg\models\decode_heads\dnl_head.py	/^    def __init__(self, *arg, temperature, **kwargs):$/;"	m	class:DisentangledNonLocal2d
__init__	.\mmseg\models\decode_heads\dnl_head.py	/^    def __init__(self,$/;"	m	class:DNLHead
__init__	.\mmseg\models\decode_heads\ema_head.py	/^    def __init__(self, channels, num_bases, num_stages, momentum):$/;"	m	class:EMAModule
__init__	.\mmseg\models\decode_heads\ema_head.py	/^    def __init__(self,$/;"	m	class:EMAHead
__init__	.\mmseg\models\decode_heads\enc_head.py	/^    def __init__(self, in_channels, num_codes, conv_cfg, norm_cfg, act_cfg):$/;"	m	class:EncModule
__init__	.\mmseg\models\decode_heads\enc_head.py	/^    def __init__(self,$/;"	m	class:EncHead
__init__	.\mmseg\models\decode_heads\fcn_head.py	/^    def __init__(self,$/;"	m	class:FCNHead
__init__	.\mmseg\models\decode_heads\fpn_head.py	/^    def __init__(self, feature_strides, **kwargs):$/;"	m	class:FPNHead
__init__	.\mmseg\models\decode_heads\gc_head.py	/^    def __init__(self,$/;"	m	class:GCHead
__init__	.\mmseg\models\decode_heads\layers\drop.py	/^    def __init__(self, drop_prob=None):$/;"	m	class:DropPath
__init__	.\mmseg\models\decode_heads\layers\drop.py	/^    def __init__(self,$/;"	m	class:DropBlock2d
__init__	.\mmseg\models\decode_heads\lraspp_head.py	/^    def __init__(self, branch_channels=(32, 64), **kwargs):$/;"	m	class:LRASPPHead
__init__	.\mmseg\models\decode_heads\nl_head.py	/^    def __init__(self,$/;"	m	class:NLHead
__init__	.\mmseg\models\decode_heads\ocr_head.py	/^    def __init__(self, in_channels, channels, scale, conv_cfg, norm_cfg,$/;"	m	class:ObjectAttentionBlock
__init__	.\mmseg\models\decode_heads\ocr_head.py	/^    def __init__(self, ocr_channels, scale=1, **kwargs):$/;"	m	class:OCRHead
__init__	.\mmseg\models\decode_heads\ocr_head.py	/^    def __init__(self, scale):$/;"	m	class:SpatialGatherModule
__init__	.\mmseg\models\decode_heads\point_head.py	/^    def __init__(self,$/;"	m	class:PointHead
__init__	.\mmseg\models\decode_heads\psa_head.py	/^    def __init__(self,$/;"	m	class:PSAHead
__init__	.\mmseg\models\decode_heads\psp_head.py	/^    def __init__(self, pool_scales, in_channels, channels, conv_cfg, norm_cfg,$/;"	m	class:PPM
__init__	.\mmseg\models\decode_heads\psp_head.py	/^    def __init__(self, pool_scales=(1, 2, 3, 6), **kwargs):$/;"	m	class:PSPHead
__init__	.\mmseg\models\decode_heads\sep_aspp_head.py	/^    def __init__(self, **kwargs):$/;"	m	class:DepthwiseSeparableASPPModule
__init__	.\mmseg\models\decode_heads\sep_aspp_head.py	/^    def __init__(self, c1_in_channels, c1_channels, **kwargs):$/;"	m	class:DepthwiseSeparableASPPHead
__init__	.\mmseg\models\decode_heads\sep_fcn_head.py	/^    def __init__(self, **kwargs):$/;"	m	class:DepthwiseSeparableFCNHead
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_base_	.\configs\pspnet\pspnet_r18b-d8_769x769_80k_cityscapes.py	/^_base_ = '.\/pspnet_r50-d8_769x769_80k_cityscapes.py'$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_480x480_40k_pascal_context.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_480x480_80k_pascal_context.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_512x1024_40k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_512x1024_80k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_512x512_160k_ade20k.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_512x512_20k_voc12aug.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_512x512_40k_voc12aug.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_512x512_80k_ade20k.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_769x769_40k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50-d8_769x769_80k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\pspnet\pspnet_r50b-d8_512x1024_80k_cityscapes.py	/^_base_ = '.\/pspnet_r50-d8_512x1024_80k_cityscapes.py'$/;"	v
_base_	.\configs\pspnet\pspnet_r50b-d8_769x769_80k_cityscapes.py	/^_base_ = '.\/pspnet_r50-d8_769x769_80k_cityscapes.py'$/;"	v
_base_	.\configs\resnest\deeplabv3_s101-d8_512x1024_80k_cityscapes.py	/^_base_ = '..\/deeplabv3\/deeplabv3_r101-d8_512x1024_80k_cityscapes.py'$/;"	v
_base_	.\configs\resnest\deeplabv3_s101-d8_512x512_160k_ade20k.py	/^_base_ = '..\/deeplabv3\/deeplabv3_r101-d8_512x512_160k_ade20k.py'$/;"	v
_base_	.\configs\resnest\deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	/^_base_ = '..\/deeplabv3plus\/deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py'$/;"	v
_base_	.\configs\resnest\deeplabv3plus_s101-d8_512x512_160k_ade20k.py	/^_base_ = '..\/deeplabv3plus\/deeplabv3plus_r101-d8_512x512_160k_ade20k.py'$/;"	v
_base_	.\configs\resnest\fcn_s101-d8_512x1024_80k_cityscapes.py	/^_base_ = '..\/fcn\/fcn_r101-d8_512x1024_80k_cityscapes.py'$/;"	v
_base_	.\configs\resnest\fcn_s101-d8_512x512_160k_ade20k.py	/^_base_ = '..\/fcn\/fcn_r101-d8_512x512_160k_ade20k.py'$/;"	v
_base_	.\configs\resnest\pspnet_s101-d8_512x1024_80k_cityscapes.py	/^_base_ = '..\/pspnet\/pspnet_r101-d8_512x1024_80k_cityscapes.py'$/;"	v
_base_	.\configs\resnest\pspnet_s101-d8_512x512_160k_ade20k.py	/^_base_ = '..\/pspnet\/pspnet_r101-d8_512x512_160k_ade20k.py'$/;"	v
_base_	.\configs\sem_fpn\fpn_r101_512x1024_80k_cityscapes.py	/^_base_ = '.\/fpn_r50_512x1024_80k_cityscapes.py'$/;"	v
_base_	.\configs\sem_fpn\fpn_r101_512x512_160k_ade20k.py	/^_base_ = '.\/fpn_r50_512x512_160k_ade20k.py'$/;"	v
_base_	.\configs\sem_fpn\fpn_r50_512x1024_80k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\sem_fpn\fpn_r50_512x512_160k_ade20k.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\deeplabv3_unet_s5-d16_128x128_40k_chase_db1.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\deeplabv3_unet_s5-d16_128x128_40k_stare.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\deeplabv3_unet_s5-d16_256x256_40k_hrf.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\deeplabv3_unet_s5-d16_64x64_40k_drive.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\fcn_unet_s5-d16_128x128_40k_chase_db1.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\fcn_unet_s5-d16_128x128_40k_stare.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\fcn_unet_s5-d16_256x256_40k_hrf.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\fcn_unet_s5-d16_64x64_40k_drive.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\pspnet_unet_s5-d16_128x128_40k_chase_db1.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\pspnet_unet_s5-d16_128x128_40k_stare.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\pspnet_unet_s5-d16_256x256_40k_hrf.py	/^_base_ = [$/;"	v
_base_	.\configs\unet\pspnet_unet_s5-d16_64x64_40k_drive.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r101_512x1024_40k_cityscapes.py	/^_base_ = '.\/upernet_r50_512x1024_40k_cityscapes.py'$/;"	v
_base_	.\configs\upernet\upernet_r101_512x1024_80k_cityscapes.py	/^_base_ = '.\/upernet_r50_512x1024_80k_cityscapes.py'$/;"	v
_base_	.\configs\upernet\upernet_r101_512x512_160k_ade20k.py	/^_base_ = '.\/upernet_r50_512x512_160k_ade20k.py'$/;"	v
_base_	.\configs\upernet\upernet_r101_512x512_20k_voc12aug.py	/^_base_ = '.\/upernet_r50_512x512_20k_voc12aug.py'$/;"	v
_base_	.\configs\upernet\upernet_r101_512x512_40k_voc12aug.py	/^_base_ = '.\/upernet_r50_512x512_40k_voc12aug.py'$/;"	v
_base_	.\configs\upernet\upernet_r101_512x512_80k_ade20k.py	/^_base_ = '.\/upernet_r50_512x512_80k_ade20k.py'$/;"	v
_base_	.\configs\upernet\upernet_r101_769x769_40k_cityscapes.py	/^_base_ = '.\/upernet_r50_769x769_40k_cityscapes.py'$/;"	v
_base_	.\configs\upernet\upernet_r101_769x769_80k_cityscapes.py	/^_base_ = '.\/upernet_r50_769x769_80k_cityscapes.py'$/;"	v
_base_	.\configs\upernet\upernet_r50_512x1024_40k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r50_512x1024_80k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r50_512x512_160k_ade20k.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r50_512x512_20k_voc12aug.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r50_512x512_40k_voc12aug.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r50_512x512_80k_ade20k.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r50_769x769_40k_cityscapes.py	/^_base_ = [$/;"	v
_base_	.\configs\upernet\upernet_r50_769x769_80k_cityscapes.py	/^_base_ = [$/;"	v
_cfg	.\mmseg\models\backbones\pvt.py	/^from timm.models.vision_transformer import _cfg$/;"	i
_cfg	.\mmseg\models\backbones\pvt_dia.py	/^from timm.models.vision_transformer import _cfg$/;"	i
_cfg	.\mmseg\models\backbones\vit.py	/^def _cfg(url='', **kwargs):$/;"	f
_cfg	.\mmseg\models\backbones\vit_mla.py	/^def _cfg(url='', **kwargs):$/;"	f
_check_branches	.\mmseg\models\backbones\hrnet.py	/^    def _check_branches(self, num_branches, num_blocks, in_channels,$/;"	m	class:HRModule
_check_decode_head	.\tests\test_config.py	/^def _check_decode_head(decode_head_cfg, decode_head):$/;"	f
_check_input_devisible	.\mmseg\models\backbones\unet.py	/^    def _check_input_devisible(self, x):$/;"	m	class:UNet
_check_input_dim	.\tests\test_models\test_forward.py	/^def _check_input_dim(self, inputs):$/;"	f
_class_to_index	.\tools\convert_datasets\pascal_context.py	/^    def _class_to_index(mask, _mapping, _key):$/;"	f	function:generate_labels
_concat_dataset	.\mmseg\datasets\builder.py	/^def _concat_dataset(cfg, default_args=None):$/;"	f
_context_for_ohem	.\tests\test_sampler.py	/^def _context_for_ohem():$/;"	f
_conv_filter	.\mmseg\models\backbones\pvt.py	/^def _conv_filter(state_dict, patch_size=16):$/;"	f
_conv_filter	.\mmseg\models\backbones\pvt_dia.py	/^def _conv_filter(state_dict, patch_size=16):$/;"	f
_conv_filter	.\mmseg\models\backbones\vit.py	/^    def _conv_filter(self, state_dict, patch_size=16):$/;"	m	class:VisionTransformer
_conv_filter	.\mmseg\models\backbones\vit_mla.py	/^    def _conv_filter(self, state_dict, patch_size=16):$/;"	m	class:VIT_MLA
_conv_has_norm	.\tests\test_models\test_heads.py	/^def _conv_has_norm(module, sync_bn):$/;"	f
_convert_batchnorm	.\tests\test_models\test_forward.py	/^def _convert_batchnorm(module):$/;"	f
_convert_batchnorm	.\tools\pytorch2onnx.py	/^def _convert_batchnorm(module):$/;"	f
_convert_to_label_id	.\mmseg\datasets\cityscapes.py	/^    def _convert_to_label_id(result):$/;"	m	class:CityscapesDataset
_convert_to_onehot_labels	.\mmseg\models\decode_heads\enc_head.py	/^    def _convert_to_onehot_labels(seg_label, num_classes):$/;"	m	class:EncHead
_decode_head_forward_test	.\mmseg\models\segmentors\encoder_decoder.py	/^    def _decode_head_forward_test(self, x, img_metas):$/;"	m	class:EncoderDecoder
_decode_head_forward_train	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^    def _decode_head_forward_train(self, x, img_metas, gt_semantic_seg):$/;"	m	class:CascadeEncoderDecoder
_decode_head_forward_train	.\mmseg\models\segmentors\encoder_decoder.py	/^    def _decode_head_forward_train(self, x, img_metas, gt_semantic_seg):$/;"	m	class:EncoderDecoder
_delete_	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	/^        _delete_=True,$/;"	v
_delete_	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x512_160k_ade20k.py	/^        _delete_=True,$/;"	v
_delete_	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^        _delete_=True,$/;"	v
_delete_	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	/^        _delete_=True,$/;"	v
_delete_	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^        _delete_=True,$/;"	v
_delete_	.\configs\mobilenet_v2\fcn_m-v2-d8_512x512_160k_ade20k.py	/^        _delete_=True,$/;"	v
_delete_	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x1024_80k_cityscapes.py	/^        _delete_=True,$/;"	v
_delete_	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x512_160k_ade20k.py	/^        _delete_=True,$/;"	v
_demo_mm_inputs	.\tests\test_models\test_forward.py	/^def _demo_mm_inputs(input_shape=(2, 3, 8, 16), num_classes=10):$/;"	f
_demo_mm_inputs	.\tests\test_models\test_segmentor.py	/^def _demo_mm_inputs(input_shape=(1, 3, 8, 16), num_classes=10):$/;"	f
_demo_mm_inputs	.\tools\pytorch2onnx.py	/^def _demo_mm_inputs(input_shape, num_classes):$/;"	f
_evaluate_cityscapes	.\mmseg\datasets\cityscapes.py	/^    def _evaluate_cityscapes(self, results, logger, imgfile_prefix):$/;"	m	class:CityscapesDataset
_expand_onehot_labels	.\mmseg\models\losses\cross_entropy_loss.py	/^def _expand_onehot_labels(labels, label_weights, target_shape, ignore_index):$/;"	f
_freeze_stages	.\mmseg\models\backbones\mobilenet_v2.py	/^    def _freeze_stages(self):$/;"	m	class:MobileNetV2
_freeze_stages	.\mmseg\models\backbones\mobilenet_v3.py	/^    def _freeze_stages(self):$/;"	m	class:MobileNetV3
_freeze_stages	.\mmseg\models\backbones\resnet.py	/^    def _freeze_stages(self):$/;"	m	class:ResNet
_get_coarse_point_feats	.\mmseg\models\decode_heads\point_head.py	/^    def _get_coarse_point_feats(self, prev_output, points):$/;"	m	class:PointHead
_get_config_directory	.\tests\test_config.py	/^def _get_config_directory():$/;"	f
_get_config_directory	.\tests\test_models\test_forward.py	/^def _get_config_directory():$/;"	f
_get_config_module	.\tests\test_models\test_forward.py	/^def _get_config_module(fname):$/;"	f
_get_fine_grained_point_feats	.\mmseg\models\decode_heads\point_head.py	/^    def _get_fine_grained_point_feats(self, x, points):$/;"	m	class:PointHead
_get_pos_embed	.\mmseg\models\backbones\pvt.py	/^    def _get_pos_embed(self, pos_embed, patch_embed, H, W):$/;"	m	class:PyramidVisionTransformer
_get_pos_embed	.\mmseg\models\backbones\pvt_dia.py	/^    def _get_pos_embed(self, pos_embed, patch_embed, H, W):$/;"	m	class:PyramidVisionTransformer
_get_segmentor_cfg	.\tests\test_models\test_forward.py	/^def _get_segmentor_cfg(fname):$/;"	f
_init_auxiliary_head	.\mmseg\models\segmentors\encoder_decoder.py	/^    def _init_auxiliary_head(self, auxiliary_head):$/;"	m	class:EncoderDecoder
_init_decode_head	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^    def _init_decode_head(self, decode_head):$/;"	m	class:CascadeEncoderDecoder
_init_decode_head	.\mmseg\models\segmentors\encoder_decoder.py	/^    def _init_decode_head(self, decode_head):$/;"	m	class:EncoderDecoder
_init_inputs	.\mmseg\models\decode_heads\decode_head.py	/^    def _init_inputs(self, in_channels, in_index, input_transform):$/;"	m	class:BaseDecodeHead
_init_weights	.\mmseg\models\backbones\pvt.py	/^    def _init_weights(self, m):$/;"	m	class:PyramidVisionTransformer
_init_weights	.\mmseg\models\backbones\pvt_dia.py	/^    def _init_weights(self, m):$/;"	m	class:PyramidVisionTransformer
_inner_forward	.\mmseg\models\backbones\cgnet.py	/^        def _inner_forward(x):$/;"	f	function:ContextGuidedBlock.forward
_inner_forward	.\mmseg\models\backbones\cgnet.py	/^        def _inner_forward(x):$/;"	f	function:GlobalContextExtractor.forward
_inner_forward	.\mmseg\models\backbones\resnest.py	/^        def _inner_forward(x):$/;"	f	function:Bottleneck.forward
_inner_forward	.\mmseg\models\backbones\resnet.py	/^        def _inner_forward(x):$/;"	f	function:BasicBlock.forward
_inner_forward	.\mmseg\models\backbones\resnet.py	/^        def _inner_forward(x):$/;"	f	function:Bottleneck.forward
_inner_forward	.\mmseg\models\utils\inverted_residual.py	/^        def _inner_forward(x):$/;"	f	function:InvertedResidual.forward
_inner_forward	.\mmseg\models\utils\inverted_residual.py	/^        def _inner_forward(x):$/;"	f	function:InvertedResidualV3.forward
_key	.\tools\convert_datasets\pascal_context.py	/^_key = np.array(range(len(_mapping))).astype('uint8')$/;"	v
_logger	.\mmseg\models\backbones\helpers.py	/^_logger = logging.getLogger(__name__)$/;"	v
_logger	.\mmseg\models\decode_heads\helpers.py	/^_logger = logging.getLogger(__name__)$/;"	v
_make_branches	.\mmseg\models\backbones\hrnet.py	/^    def _make_branches(self, num_branches, block, num_blocks, num_channels):$/;"	m	class:HRModule
_make_fuse_layers	.\mmseg\models\backbones\hrnet.py	/^    def _make_fuse_layers(self):$/;"	m	class:HRModule
_make_layer	.\mmseg\models\backbones\fast_scnn.py	/^    def _make_layer(self,$/;"	m	class:GlobalFeatureExtractor
_make_layer	.\mmseg\models\backbones\hrnet.py	/^    def _make_layer(self, block, inplanes, planes, blocks, stride=1):$/;"	m	class:HRNet
_make_layer	.\mmseg\models\backbones\mobilenet_v3.py	/^    def _make_layer(self):$/;"	m	class:MobileNetV3
_make_one_branch	.\mmseg\models\backbones\hrnet.py	/^    def _make_one_branch(self,$/;"	m	class:HRModule
_make_stage	.\mmseg\models\backbones\hrnet.py	/^    def _make_stage(self, layer_config, in_channels, multiscale_output=True):$/;"	m	class:HRNet
_make_stem_layer	.\mmseg\models\backbones\resnet.py	/^    def _make_stem_layer(self, in_channels, stem_channels):$/;"	m	class:ResNet
_make_transition_layer	.\mmseg\models\backbones\hrnet.py	/^    def _make_transition_layer(self, num_channels_pre_layer,$/;"	m	class:HRNet
_mapping	.\tools\convert_datasets\pascal_context.py	/^_mapping = np.sort($/;"	v
_no_grad_trunc_normal_	.\mmseg\models\backbones\layers\weight_init.py	/^def _no_grad_trunc_normal_(tensor, mean, std, a, b):$/;"	f
_no_grad_trunc_normal_	.\mmseg\models\decode_heads\layers\weight_init.py	/^def _no_grad_trunc_normal_(tensor, mean, std, a, b):$/;"	f
_ntuple	.\mmseg\models\backbones\layers\helpers.py	/^def _ntuple(n):$/;"	f
_ntuple	.\mmseg\models\decode_heads\layers\helpers.py	/^def _ntuple(n):$/;"	f
_pad_img	.\mmseg\datasets\pipelines\transforms.py	/^    def _pad_img(self, results):$/;"	m	class:Pad
_pad_seg	.\mmseg\datasets\pipelines\transforms.py	/^    def _pad_seg(self, results):$/;"	m	class:Pad
_papertype	.\docs\stat.py	/^    _papertype = [x for x in re.findall(r'\\[([A-Z]+)\\]', content)]$/;"	v
_parse_losses	.\mmseg\models\segmentors\base.py	/^    def _parse_losses(losses):$/;"	m	class:BaseSegmentor
_random_scale	.\mmseg\datasets\pipelines\transforms.py	/^    def _random_scale(self, results):$/;"	m	class:Resize
_resize_img	.\mmseg\datasets\pipelines\transforms.py	/^    def _resize_img(self, results):$/;"	m	class:Resize
_resize_seg	.\mmseg\datasets\pipelines\transforms.py	/^    def _resize_seg(self, results):$/;"	m	class:Resize
_segmentor_forward_train_test	.\tests\test_models\test_segmentor.py	/^def _segmentor_forward_train_test(segmentor):$/;"	f
_test_encoder_decoder_forward	.\tests\test_models\test_forward.py	/^def _test_encoder_decoder_forward(cfg_file):$/;"	f
_transform_inputs	.\mmseg\models\decode_heads\decode_head.py	/^    def _transform_inputs(self, inputs):$/;"	m	class:BaseDecodeHead
abstractmethod	.\mmseg\core\seg\sampler\base_pixel_sampler.py	/^from abc import ABCMeta, abstractmethod$/;"	i
abstractmethod	.\mmseg\models\decode_heads\cascade_decode_head.py	/^from abc import ABCMeta, abstractmethod$/;"	i
abstractmethod	.\mmseg\models\decode_heads\decode_head.py	/^from abc import ABCMeta, abstractmethod$/;"	i
abstractmethod	.\mmseg\models\segmentors\base.py	/^from abc import ABCMeta, abstractmethod$/;"	i
accuracy	.\mmseg\models\decode_heads\decode_head.py	/^from ..losses import accuracy$/;"	i
accuracy	.\mmseg\models\decode_heads\point_head.py	/^from ..losses import accuracy$/;"	i
accuracy	.\mmseg\models\losses\__init__.py	/^from .accuracy import Accuracy, accuracy$/;"	i
accuracy	.\mmseg\models\losses\accuracy.py	/^def accuracy(pred, target, topk=1, thresh=None):$/;"	f
act_cfg	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        act_cfg=dict(type='ReLU'),$/;"	v
act_cfg	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        act_cfg=dict(type='ReLU'),$/;"	v
act_cfg	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        act_cfg=dict(type='ReLU'),$/;"	v
act_cfg	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        act_cfg=dict(type='ReLU'),$/;"	v
act_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        act_cfg=dict(type='ReLU'),$/;"	v
act_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        act_cfg=dict(type='ReLU'),$/;"	v
add_lateral	.\configs\_base_\models\encnet_r50-d8.py	/^        add_lateral=False,$/;"	v
add_prefix	.\mmseg\core\utils\__init__.py	/^from .misc import add_prefix$/;"	i
add_prefix	.\mmseg\core\utils\misc.py	/^def add_prefix(inputs, prefix):$/;"	f
add_prefix	.\mmseg\models\decode_heads\da_head.py	/^from mmseg.core import add_prefix$/;"	i
add_prefix	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^from mmseg.core import add_prefix$/;"	i
add_prefix	.\mmseg\models\segmentors\encoder_decoder.py	/^from mmseg.core import add_prefix$/;"	i
ade_classes	.\mmseg\core\evaluation\class_names.py	/^def ade_classes():$/;"	f
ade_palette	.\mmseg\core\evaluation\class_names.py	/^def ade_palette():$/;"	f
after_train_epoch	.\mmseg\core\evaluation\eval_hooks.py	/^    def after_train_epoch(self, runner):$/;"	m	class:DistEvalHook
after_train_epoch	.\mmseg\core\evaluation\eval_hooks.py	/^    def after_train_epoch(self, runner):$/;"	m	class:EvalHook
after_train_iter	.\mmseg\core\evaluation\eval_hooks.py	/^    def after_train_iter(self, runner):$/;"	m	class:DistEvalHook
after_train_iter	.\mmseg\core\evaluation\eval_hooks.py	/^    def after_train_iter(self, runner):$/;"	m	class:EvalHook
aggregate	.\mmseg\ops\encoding.py	/^    def aggregate(assigment_weights, x, codewords):$/;"	m	class:Encoding
align_corners	.\configs\_base_\models\ann_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\apcnet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\ccnet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\danet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\dmnet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\dnl_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\emanet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\encnet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\fast_scnn.py	/^            align_corners=False,$/;"	v
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align_corners	.\configs\_base_\models\fast_scnn.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\fcn_hr18.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\fcn_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\fpn_r50.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\gcnet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\nonlocal_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\ocrnet_hr18.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\ocrnet_r50-d8.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\pointrend_r50.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\psanet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\pspnet_r50-d8.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\setr_mla.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\setr_naive_pup.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\_base_\models\upernet_r50.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        align_corners=False, $/;"	v
align_corners	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            align_corners=False,$/;"	v
align_corners	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        align_corners=False,$/;"	v
all_zeros	.\tests\test_models\test_backbone.py	/^def all_zeros(modules):$/;"	f
allpapers	.\docs\stat.py	/^allpapers = func.reduce(lambda a, b: a.union(b), [p for p, _, _ in stats])$/;"	v
ann_dir	.\configs\_base_\datasets\FoodSeg103.py	/^        ann_dir='ann_dir\/test',$/;"	v
ann_dir	.\configs\_base_\datasets\FoodSeg103.py	/^        ann_dir='ann_dir\/train',$/;"	v
ann_dir	.\configs\_base_\datasets\ade20k.py	/^        ann_dir='annotations\/training',$/;"	v
ann_dir	.\configs\_base_\datasets\ade20k.py	/^        ann_dir='annotations\/validation',$/;"	v
ann_dir	.\configs\_base_\datasets\chase_db1.py	/^            ann_dir='annotations\/training',$/;"	v
ann_dir	.\configs\_base_\datasets\chase_db1.py	/^        ann_dir='annotations\/validation',$/;"	v
ann_dir	.\configs\_base_\datasets\cityscapes.py	/^        ann_dir='gtFine\/train',$/;"	v
ann_dir	.\configs\_base_\datasets\cityscapes.py	/^        ann_dir='gtFine\/val',$/;"	v
ann_dir	.\configs\_base_\datasets\drive.py	/^            ann_dir='annotations\/training',$/;"	v
ann_dir	.\configs\_base_\datasets\drive.py	/^        ann_dir='annotations\/validation',$/;"	v
ann_dir	.\configs\_base_\datasets\hrf.py	/^            ann_dir='annotations\/training',$/;"	v
ann_dir	.\configs\_base_\datasets\hrf.py	/^        ann_dir='annotations\/validation',$/;"	v
ann_dir	.\configs\_base_\datasets\pascal_context.py	/^        ann_dir='SegmentationClassContext',$/;"	v
ann_dir	.\configs\_base_\datasets\pascal_voc12.py	/^        ann_dir='SegmentationClass',$/;"	v
ann_dir	.\configs\_base_\datasets\pascal_voc12_aug.py	/^        ann_dir=['SegmentationClass', 'SegmentationClassAug'],$/;"	v
ann_dir	.\configs\_base_\datasets\stare.py	/^            ann_dir='annotations\/training',$/;"	v
ann_dir	.\configs\_base_\datasets\stare.py	/^        ann_dir='annotations\/validation',$/;"	v
ann_dir	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        ann_dir='gtFine\/train',$/;"	v
ann_dir	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        ann_dir='gtFine\/val',$/;"	v
arch	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        arch='large',$/;"	v
arch	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        arch='small',$/;"	v
arch	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        arch='small',$/;"	v
arch_settings	.\mmseg\models\backbones\mobilenet_v2.py	/^    arch_settings = [[1, 16, 1], [6, 24, 2], [6, 32, 3], [6, 64, 4],$/;"	v	class:MobileNetV2
arch_settings	.\mmseg\models\backbones\mobilenet_v3.py	/^    arch_settings = {$/;"	v	class:MobileNetV3
arch_settings	.\mmseg\models\backbones\resnest.py	/^    arch_settings = {$/;"	v	class:ResNeSt
arch_settings	.\mmseg\models\backbones\resnet.py	/^    arch_settings = {$/;"	v	class:ResNet
arch_settings	.\mmseg\models\backbones\resnext.py	/^    arch_settings = {$/;"	v	class:ResNeXt
argparse	.\.dev\gather_models.py	/^import argparse$/;"	i
argparse	.\.dev\upload_modelzoo.py	/^import argparse$/;"	i
argparse	.\tools\benchmark.py	/^import argparse$/;"	i
argparse	.\tools\convert_datasets\chase_db1.py	/^import argparse$/;"	i
argparse	.\tools\convert_datasets\cityscapes.py	/^import argparse$/;"	i
argparse	.\tools\convert_datasets\drive.py	/^import argparse$/;"	i
argparse	.\tools\convert_datasets\hrf.py	/^import argparse$/;"	i
argparse	.\tools\convert_datasets\pascal_context.py	/^import argparse$/;"	i
argparse	.\tools\convert_datasets\stare.py	/^import argparse$/;"	i
argparse	.\tools\convert_datasets\voc_aug.py	/^import argparse$/;"	i
argparse	.\tools\get_flops.py	/^import argparse$/;"	i
argparse	.\tools\print_config.py	/^import argparse$/;"	i
argparse	.\tools\publish_model.py	/^import argparse$/;"	i
argparse	.\tools\pytorch2onnx.py	/^import argparse$/;"	i
argparse	.\tools\test.py	/^import argparse$/;"	i
argparse	.\tools\train.py	/^import argparse$/;"	i
args	.\tools\pytorch2onnx.py	/^    args = parse_args()$/;"	v
aug_test	.\mmseg\models\segmentors\base.py	/^    def aug_test(self, imgs, img_metas, **kwargs):$/;"	m	class:BaseSegmentor
aug_test	.\mmseg\models\segmentors\encoder_decoder.py	/^    def aug_test(self, imgs, img_metas, rescale=True):$/;"	m	class:EncoderDecoder
author	.\docs\conf.py	/^author = 'MMSegmentation Authors'$/;"	v
auto_fp16	.\mmseg\models\decode_heads\decode_head.py	/^from mmcv.runner import auto_fp16, force_fp32$/;"	i
auto_fp16	.\mmseg\models\segmentors\base.py	/^from mmcv.runner import auto_fp16$/;"	i
autodoc_mock_imports	.\docs\conf.py	/^autodoc_mock_imports = ['matplotlib', 'pycocotools', 'mmseg.version']$/;"	v
auxiliary_head	.\configs\_base_\models\ann_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\apcnet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\ccnet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\danet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\deeplabv3_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\dmnet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\dnl_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\emanet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\encnet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\fast_scnn.py	/^    auxiliary_head=[$/;"	v
auxiliary_head	.\configs\_base_\models\fcn_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\fcn_unet_s5-d16.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\gcnet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\nonlocal_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\psanet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\pspnet_r50-d8.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\_base_\models\upernet_r50.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\ann\ann_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\ann\ann_r50-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\apcnet\apcnet_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
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auxiliary_head	.\configs\ccnet\ccnet_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\ccnet\ccnet_r50-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\danet\danet_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\danet\danet_r50-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\deeplabv3\deeplabv3_r18-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
auxiliary_head	.\configs\deeplabv3\deeplabv3_r18-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
auxiliary_head	.\configs\deeplabv3\deeplabv3_r18b-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
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auxiliary_head	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
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auxiliary_head	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^    auxiliary_head=dict($/;"	v
auxiliary_head	.\configs\gcnet\gcnet_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\gcnet\gcnet_r50-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x512_160k_ade20k.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\mobilenet_v2\fcn_m-v2-d8_512x512_160k_ade20k.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x512_160k_ade20k.py	/^    auxiliary_head=dict(in_channels=96))$/;"	v
auxiliary_head	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\psanet\psanet_r50-d8_512x512_160k_ade20k.py	/^    auxiliary_head=dict(num_classes=150))$/;"	v
auxiliary_head	.\configs\psanet\psanet_r50-d8_512x512_80k_ade20k.py	/^    auxiliary_head=dict(num_classes=150))$/;"	v
auxiliary_head	.\configs\psanet\psanet_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\psanet\psanet_r50-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\pspnet\pspnet_r18-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
auxiliary_head	.\configs\pspnet\pspnet_r18-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
auxiliary_head	.\configs\pspnet\pspnet_r18b-d8_512x1024_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
auxiliary_head	.\configs\pspnet\pspnet_r18b-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(in_channels=256, channels=64))$/;"	v
auxiliary_head	.\configs\pspnet\pspnet_r50-d8_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\pspnet\pspnet_r50-d8_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\upernet\upernet_r50_769x769_40k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
auxiliary_head	.\configs\upernet\upernet_r50_769x769_80k_cityscapes.py	/^    auxiliary_head=dict(align_corners=True),$/;"	v
avg_down_stride	.\configs\resnest\deeplabv3_s101-d8_512x1024_80k_cityscapes.py	/^        avg_down_stride=True))$/;"	v
avg_down_stride	.\configs\resnest\deeplabv3_s101-d8_512x512_160k_ade20k.py	/^        avg_down_stride=True))$/;"	v
avg_down_stride	.\configs\resnest\deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	/^        avg_down_stride=True))$/;"	v
avg_down_stride	.\configs\resnest\deeplabv3plus_s101-d8_512x512_160k_ade20k.py	/^        avg_down_stride=True))$/;"	v
avg_down_stride	.\configs\resnest\fcn_s101-d8_512x1024_80k_cityscapes.py	/^        avg_down_stride=True))$/;"	v
avg_down_stride	.\configs\resnest\fcn_s101-d8_512x512_160k_ade20k.py	/^        avg_down_stride=True))$/;"	v
avg_down_stride	.\configs\resnest\pspnet_s101-d8_512x1024_80k_cityscapes.py	/^        avg_down_stride=True))$/;"	v
avg_down_stride	.\configs\resnest\pspnet_s101-d8_512x512_160k_ade20k.py	/^        avg_down_stride=True))$/;"	v
backbone	.\configs\_base_\models\ann_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\apcnet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\ccnet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\cgnet.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\danet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\deeplabv3_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\dmnet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\dnl_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\emanet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\encnet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\fast_scnn.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\fcn_hr18.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\fcn_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\fcn_unet_s5-d16.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\fpn_r50.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\gcnet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\lraspp_m-v3-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\nonlocal_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\ocrnet_hr18.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\ocrnet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\pointrend_r50.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\psanet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\pspnet_r50-d8.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\setr_mla.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\setr_naive_pup.py	/^    backbone=dict($/;"	v
backbone	.\configs\_base_\models\upernet_r50.py	/^    backbone=dict($/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r101b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r101b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r18-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r18-d8_769x769_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r18b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\deeplabv3\deeplabv3_r18b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r101b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r101b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_769x769_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\encnet\encnet_r50s-d8_512x512_80k_ade20k.py	/^    backbone=dict(stem_channels=128),$/;"	v
backbone	.\configs\fcn\fcn_r101b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\fcn\fcn_r101b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\fcn\fcn_r18-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\fcn\fcn_r18-d8_769x769_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\fcn\fcn_r18b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\fcn\fcn_r18b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^    backbone=dict($/;"	v
backbone	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^    backbone=dict($/;"	v
backbone	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^    backbone=dict($/;"	v
backbone	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^    backbone=dict($/;"	v
backbone	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^    backbone=dict($/;"	v
backbone	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^    backbone=dict($/;"	v
backbone	.\configs\foodnet\fpn_r50_512x1024_80k_RM.py	/^            backbone=dict(type='ResNet'), $/;"	v
backbone	.\configs\hrnet\fcn_hr18s_480x480_40k_pascal_context.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_480x480_80k_pascal_context.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_512x1024_160k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_512x1024_40k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_512x512_20k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_512x512_40k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr18s_512x512_80k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_480x480_40k_pascal_context.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_480x480_80k_pascal_context.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_512x1024_160k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_512x1024_40k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_512x512_20k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_512x512_40k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\hrnet\fcn_hr48_512x512_80k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\fcn_m-v2-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr18s_512x1024_160k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr18s_512x1024_40k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr18s_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr18s_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr18s_512x512_20k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr18s_512x512_40k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr18s_512x512_80k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^    backbone=dict($/;"	v
backbone	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\pspnet\pspnet_r101b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\pspnet\pspnet_r101b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=101))$/;"	v
backbone	.\configs\pspnet\pspnet_r18-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\pspnet\pspnet_r18-d8_769x769_80k_cityscapes.py	/^    backbone=dict(depth=18),$/;"	v
backbone	.\configs\pspnet\pspnet_r18b-d8_512x1024_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\pspnet\pspnet_r18b-d8_769x769_80k_cityscapes.py	/^    backbone=dict(type='ResNet', depth=18),$/;"	v
backbone	.\configs\resnest\deeplabv3_s101-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\resnest\deeplabv3_s101-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\resnest\deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\resnest\deeplabv3plus_s101-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\resnest\fcn_s101-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\resnest\fcn_s101-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
backbone	.\configs\resnest\pspnet_s101-d8_512x1024_80k_cityscapes.py	/^    backbone=dict($/;"	v
backbone	.\configs\resnest\pspnet_s101-d8_512x512_160k_ade20k.py	/^    backbone=dict($/;"	v
base_channels	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        base_channels=64,$/;"	v
base_channels	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        base_channels=64,$/;"	v
base_channels	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        base_channels=64,$/;"	v
binary_cross_entropy	.\mmseg\models\losses\__init__.py	/^from .cross_entropy_loss import (CrossEntropyLoss, binary_cross_entropy,$/;"	i
binary_cross_entropy	.\mmseg\models\losses\cross_entropy_loss.py	/^def binary_cross_entropy(pred,$/;"	f
block	.\configs\_base_\models\fcn_hr18.py	/^                block='BASIC',$/;"	v
block	.\configs\_base_\models\fcn_hr18.py	/^                block='BOTTLENECK',$/;"	v
block	.\configs\_base_\models\ocrnet_hr18.py	/^                block='BASIC',$/;"	v
block	.\configs\_base_\models\ocrnet_hr18.py	/^                block='BOTTLENECK',$/;"	v
blocks_dict	.\mmseg\models\backbones\hrnet.py	/^    blocks_dict = {'BASIC': BasicBlock, 'BOTTLENECK': Bottleneck}$/;"	v	class:HRNet
brightness	.\mmseg\datasets\pipelines\transforms.py	/^    def brightness(self, img):$/;"	m	class:PhotoMetricDistortion
build	.\mmseg\models\builder.py	/^def build(cfg, registry, default_args=None):$/;"	f
build_activation_layer	.\mmseg\models\backbones\unet.py	/^from mmcv.cnn import (UPSAMPLE_LAYERS, ConvModule, build_activation_layer,$/;"	i
build_activation_layer	.\mmseg\models\decode_heads\dm_head.py	/^from mmcv.cnn import ConvModule, build_activation_layer, build_norm_layer$/;"	i
build_backbone	.\mmseg\models\__init__.py	/^from .builder import (BACKBONES, HEADS, LOSSES, SEGMENTORS, build_backbone,$/;"	i
build_backbone	.\mmseg\models\builder.py	/^def build_backbone(cfg):$/;"	f
build_conv_layer	.\mmseg\models\backbones\cgnet.py	/^from mmcv.cnn import (ConvModule, build_conv_layer, build_norm_layer,$/;"	i
build_conv_layer	.\mmseg\models\backbones\hrnet.py	/^from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,$/;"	i
build_conv_layer	.\mmseg\models\backbones\resnest.py	/^from mmcv.cnn import build_conv_layer, build_norm_layer$/;"	i
build_conv_layer	.\mmseg\models\backbones\resnet.py	/^from mmcv.cnn import (build_conv_layer, build_norm_layer, build_plugin_layer,$/;"	i
build_conv_layer	.\mmseg\models\backbones\resnext.py	/^from mmcv.cnn import build_conv_layer, build_norm_layer$/;"	i
build_conv_layer	.\mmseg\models\utils\res_layer.py	/^from mmcv.cnn import build_conv_layer, build_norm_layer$/;"	i
build_dataloader	.\mmseg\apis\train.py	/^from mmseg.datasets import build_dataloader, build_dataset$/;"	i
build_dataloader	.\mmseg\datasets\__init__.py	/^from .builder import DATASETS, PIPELINES, build_dataloader, build_dataset$/;"	i
build_dataloader	.\mmseg\datasets\builder.py	/^def build_dataloader(dataset,$/;"	f
build_dataloader	.\tests\test_data\test_dataset_builder.py	/^from mmseg.datasets import (DATASETS, ConcatDataset, build_dataloader,$/;"	i
build_dataloader	.\tools\benchmark.py	/^from mmseg.datasets import build_dataloader, build_dataset$/;"	i
build_dataloader	.\tools\test.py	/^from mmseg.datasets import build_dataloader, build_dataset$/;"	i
build_dataset	.\mmseg\apis\train.py	/^from mmseg.datasets import build_dataloader, build_dataset$/;"	i
build_dataset	.\mmseg\datasets\__init__.py	/^from .builder import DATASETS, PIPELINES, build_dataloader, build_dataset$/;"	i
build_dataset	.\mmseg\datasets\builder.py	/^def build_dataset(cfg, default_args=None):$/;"	f
build_dataset	.\tools\benchmark.py	/^from mmseg.datasets import build_dataloader, build_dataset$/;"	i
build_dataset	.\tools\test.py	/^from mmseg.datasets import build_dataloader, build_dataset$/;"	i
build_dataset	.\tools\train.py	/^from mmseg.datasets import build_dataset$/;"	i
build_from_cfg	.\mmseg\core\seg\builder.py	/^from mmcv.utils import Registry, build_from_cfg$/;"	i
build_from_cfg	.\mmseg\datasets\builder.py	/^from mmcv.utils import Registry, build_from_cfg$/;"	i
build_from_cfg	.\mmseg\datasets\pipelines\compose.py	/^from mmcv.utils import build_from_cfg$/;"	i
build_from_cfg	.\mmseg\models\builder.py	/^from mmcv.utils import Registry, build_from_cfg$/;"	i
build_from_cfg	.\tests\test_data\test_transform.py	/^from mmcv.utils import build_from_cfg$/;"	i
build_from_cfg	.\tests\test_data\test_tta.py	/^from mmcv.utils import build_from_cfg$/;"	i
build_head	.\mmseg\models\builder.py	/^def build_head(cfg):$/;"	f
build_loss	.\mmseg\models\builder.py	/^def build_loss(cfg):$/;"	f
build_loss	.\mmseg\models\decode_heads\decode_head.py	/^from ..builder import build_loss$/;"	i
build_loss	.\mmseg\models\decode_heads\enc_head.py	/^from ..builder import HEADS, build_loss$/;"	i
build_loss	.\tests\test_models\test_losses.py	/^    from mmseg.models import build_loss$/;"	i
build_neck	.\mmseg\models\builder.py	/^def build_neck(cfg):$/;"	f
build_norm_layer	.\mmseg\models\backbones\cgnet.py	/^from mmcv.cnn import (ConvModule, build_conv_layer, build_norm_layer,$/;"	i
build_norm_layer	.\mmseg\models\backbones\hrnet.py	/^from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,$/;"	i
build_norm_layer	.\mmseg\models\backbones\resnest.py	/^from mmcv.cnn import build_conv_layer, build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\backbones\resnet.py	/^from mmcv.cnn import (build_conv_layer, build_norm_layer, build_plugin_layer,$/;"	i
build_norm_layer	.\mmseg\models\backbones\resnext.py	/^from mmcv.cnn import build_conv_layer, build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\backbones\vit.py	/^from mmcv.cnn import build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\backbones\vit_mla.py	/^from mmcv.cnn import build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\decode_heads\dm_head.py	/^from mmcv.cnn import ConvModule, build_activation_layer, build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\decode_heads\enc_head.py	/^from mmcv.cnn import ConvModule, build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from mmcv.cnn import build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\decode_heads\vit_mla_head.py	/^from mmcv.cnn import build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\decode_heads\vit_up_head.py	/^from mmcv.cnn import build_norm_layer$/;"	i
build_norm_layer	.\mmseg\models\utils\res_layer.py	/^from mmcv.cnn import build_conv_layer, build_norm_layer$/;"	i
build_optimizer	.\mmseg\apis\train.py	/^from mmcv.runner import build_optimizer, build_runner$/;"	i
build_pixel_sampler	.\mmseg\core\seg\__init__.py	/^from .builder import build_pixel_sampler$/;"	i
build_pixel_sampler	.\mmseg\core\seg\builder.py	/^def build_pixel_sampler(cfg, **default_args):$/;"	f
build_pixel_sampler	.\mmseg\models\decode_heads\decode_head.py	/^from mmseg.core import build_pixel_sampler$/;"	i
build_plugin_layer	.\mmseg\models\backbones\resnet.py	/^from mmcv.cnn import (build_conv_layer, build_norm_layer, build_plugin_layer,$/;"	i
build_project	.\mmseg\models\utils\self_attention_block.py	/^    def build_project(self, in_channels, channels, num_convs, use_conv_module,$/;"	m	class:SelfAttentionBlock
build_runner	.\mmseg\apis\train.py	/^from mmcv.runner import build_optimizer, build_runner$/;"	i
build_segmentor	.\mmseg\apis\inference.py	/^from mmseg.models import build_segmentor$/;"	i
build_segmentor	.\mmseg\models\builder.py	/^def build_segmentor(cfg, train_cfg=None, test_cfg=None):$/;"	f
build_segmentor	.\tests\test_config.py	/^from mmseg.models import build_segmentor$/;"	i
build_segmentor	.\tests\test_models\test_forward.py	/^    from mmseg.models import build_segmentor$/;"	i
build_segmentor	.\tests\test_models\test_segmentor.py	/^from mmseg.models import BACKBONES, HEADS, build_segmentor$/;"	i
build_segmentor	.\tools\benchmark.py	/^from mmseg.models import build_segmentor$/;"	i
build_segmentor	.\tools\get_flops.py	/^from mmseg.models import build_segmentor$/;"	i
build_segmentor	.\tools\pytorch2onnx.py	/^from mmseg.models import build_segmentor$/;"	i
build_segmentor	.\tools\test.py	/^from mmseg.models import build_segmentor$/;"	i
build_segmentor	.\tools\train.py	/^from mmseg.models import build_segmentor$/;"	i
build_upsample_layer	.\mmseg\models\utils\up_conv_block.py	/^from mmcv.cnn import ConvModule, build_upsample_layer$/;"	i
builder	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^from .. import builder$/;"	i
builder	.\mmseg\models\segmentors\encoder_decoder.py	/^from .. import builder$/;"	i
builder_inited_handler	.\docs\conf.py	/^def builder_inited_handler(app):$/;"	f
by_epoch	.\configs\_base_\schedules\schedule_80k_step.py	/^    by_epoch=False)$/;"	v
by_epoch	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^                 by_epoch=False)$/;"	v
c	.\mmseg\models\losses\lovasz_loss.py	/^        fg = (labels == c).float()  # foreground for class c$/;"	c	function:lovasz_softmax_flat
c1_channels	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        c1_channels=48,$/;"	v
c1_channels	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_512x1024_80k_cityscapes.py	/^        c1_channels=12,$/;"	v
c1_channels	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_769x769_80k_cityscapes.py	/^        c1_channels=12,$/;"	v
c1_channels	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_512x1024_80k_cityscapes.py	/^        c1_channels=12,$/;"	v
c1_channels	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_769x769_80k_cityscapes.py	/^        c1_channels=12,$/;"	v
c1_in_channels	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        c1_in_channels=256,$/;"	v
c1_in_channels	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_512x1024_80k_cityscapes.py	/^        c1_in_channels=64,$/;"	v
c1_in_channels	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_769x769_80k_cityscapes.py	/^        c1_in_channels=64,$/;"	v
c1_in_channels	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_512x1024_80k_cityscapes.py	/^        c1_in_channels=64,$/;"	v
c1_in_channels	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_769x769_80k_cityscapes.py	/^        c1_in_channels=64,$/;"	v
calculate_uncertainty	.\mmseg\models\decode_heads\point_head.py	/^def calculate_uncertainty(seg_logits):$/;"	f
cam_cls_seg	.\mmseg\models\decode_heads\da_head.py	/^    def cam_cls_seg(self, feat):$/;"	m	class:DAHead
cfg	.\tools\pytorch2onnx.py	/^    cfg = mmcv.Config.fromfile(args.config)$/;"	v
channels	.\configs\_base_\models\ann_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\ann_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\apcnet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\apcnet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\ccnet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\ccnet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\cgnet.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\danet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\danet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        channels=16,$/;"	v
channels	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        channels=64,$/;"	v
channels	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\dmnet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\dmnet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\dnl_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\dnl_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\emanet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\encnet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\encnet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\fast_scnn.py	/^            channels=32,$/;"	v
channels	.\configs\_base_\models\fast_scnn.py	/^        channels=128,$/;"	v
channels	.\configs\_base_\models\fcn_hr18.py	/^        channels=sum([18, 36, 72, 144]),$/;"	v
channels	.\configs\_base_\models\fcn_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\fcn_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        channels=64,$/;"	v
channels	.\configs\_base_\models\fpn_r50.py	/^        channels=128,$/;"	v
channels	.\configs\_base_\models\gcnet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\gcnet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        channels=128,$/;"	v
channels	.\configs\_base_\models\nonlocal_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\nonlocal_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\ocrnet_hr18.py	/^            channels=512,$/;"	v
channels	.\configs\_base_\models\ocrnet_hr18.py	/^            channels=sum([18, 36, 72, 144]),$/;"	v
channels	.\configs\_base_\models\ocrnet_r50-d8.py	/^            channels=256,$/;"	v
channels	.\configs\_base_\models\ocrnet_r50-d8.py	/^            channels=512,$/;"	v
channels	.\configs\_base_\models\pointrend_r50.py	/^            channels=128,$/;"	v
channels	.\configs\_base_\models\pointrend_r50.py	/^            channels=256,$/;"	v
channels	.\configs\_base_\models\psanet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\psanet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\pspnet_r50-d8.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\pspnet_r50-d8.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        channels=16,$/;"	v
channels	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        channels=64,$/;"	v
channels	.\configs\_base_\models\setr_mla.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\setr_naive_pup.py	/^        channels=512,$/;"	v
channels	.\configs\_base_\models\upernet_r50.py	/^        channels=256,$/;"	v
channels	.\configs\_base_\models\upernet_r50.py	/^        channels=512,$/;"	v
channels	.\configs\deeplabv3\deeplabv3_r18-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\deeplabv3\deeplabv3_r18-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\deeplabv3\deeplabv3_r18b-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\deeplabv3\deeplabv3_r18b-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\fcn\fcn_r18-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\fcn\fcn_r18-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\fcn\fcn_r18b-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\fcn\fcn_r18b-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        channels=512,$/;"	v
channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        channels=512,$/;"	v
channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        channels=512,$/;"	v
channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        channels=512,$/;"	v
channels	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            channels=512,$/;"	v
channels	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        channels=512,$/;"	v
channels	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        channels=sum([18, 36, 72, 144]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        channels=sum([18, 36, 72, 144]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        channels=sum([18, 36, 72, 144]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        channels=sum([18, 36, 72, 144]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            channels=sum([48, 96, 192, 384]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            channels=sum([48, 96, 192, 384]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            channels=sum([48, 96, 192, 384]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            channels=sum([48, 96, 192, 384]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            channels=sum([48, 96, 192, 384]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            channels=sum([48, 96, 192, 384]),$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            channels=512,$/;"	v
channels	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            channels=sum([48, 96, 192, 384]),$/;"	v
channels	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        channels=128,$/;"	v
channels	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        channels=256,$/;"	v
channels	.\configs\pspnet\pspnet_r18-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\pspnet\pspnet_r18-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\pspnet\pspnet_r18b-d8_512x1024_80k_cityscapes.py	/^        channels=128,$/;"	v
channels	.\configs\pspnet\pspnet_r18b-d8_769x769_80k_cityscapes.py	/^        channels=128,$/;"	v
check_norm_state	.\tests\test_models\test_backbone.py	/^def check_norm_state(modules, train_state):$/;"	f
check_norm_state	.\tests\test_models\test_unet.py	/^def check_norm_state(modules, train_state):$/;"	f
checkpoint_config	.\configs\_base_\schedules\schedule_160k.py	/^checkpoint_config = dict(by_epoch=False, interval=16000)$/;"	v
checkpoint_config	.\configs\_base_\schedules\schedule_20k.py	/^checkpoint_config = dict(by_epoch=False, interval=2000)$/;"	v
checkpoint_config	.\configs\_base_\schedules\schedule_40k.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
checkpoint_config	.\configs\_base_\schedules\schedule_80k.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
checkpoint_config	.\configs\_base_\schedules\schedule_80k_step.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
checkpoint_config	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
checkpoint_config	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
checkpoint_config	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
checkpoint_config	.\configs\foodnet\fpn_r50_512x1024_80k.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
checkpoint_config	.\configs\foodnet\fpn_r50_512x1024_80k_RM.py	/^checkpoint_config = dict(by_epoch=False, interval=4000)$/;"	v
cityscapes_classes	.\mmseg\core\evaluation\class_names.py	/^def cityscapes_classes():$/;"	f
cityscapes_palette	.\mmseg\core\evaluation\class_names.py	/^def cityscapes_palette():$/;"	f
cityscapesscripts	.\mmseg\datasets\cityscapes.py	/^            import cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling as CSEval  # noqa$/;"	i
cityscapesscripts	.\mmseg\datasets\cityscapes.py	/^            import cityscapesscripts.helpers.labels as CSLabels$/;"	i
cityscapesscripts	.\mmseg\datasets\cityscapes.py	/^        import cityscapesscripts.helpers.labels as CSLabels$/;"	i
ckpts	.\docs\stat.py	/^    ckpts = set(x.lower().strip()$/;"	v
class_pred	.\mmseg\models\losses\lovasz_loss.py	/^            class_pred = probs[:, 0]$/;"	v	class:lovasz_softmax_flat.c
class_pred	.\mmseg\models\losses\lovasz_loss.py	/^            class_pred = probs[:, c]$/;"	v	class:lovasz_softmax_flat.c
class_weight	.\configs\_base_\models\cgnet.py	/^            class_weight=[$/;"	v
cls_seg	.\mmseg\models\decode_heads\decode_head.py	/^    def cls_seg(self, feat):$/;"	m	class:BaseDecodeHead
cls_seg	.\mmseg\models\decode_heads\point_head.py	/^    def cls_seg(self, feat):$/;"	m	class:PointHead
coarse_pred_each_layer	.\configs\_base_\models\pointrend_r50.py	/^            coarse_pred_each_layer=True,$/;"	v
coarse_pred_each_layer	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        coarse_pred_each_layer=True,$/;"	v
collate	.\mmseg\apis\inference.py	/^from mmcv.parallel import collate, scatter$/;"	i
collate	.\mmseg\datasets\builder.py	/^from mmcv.parallel import collate$/;"	i
collect_base_env	.\mmseg\utils\collect_env.py	/^from mmcv.utils import collect_env as collect_base_env$/;"	i
collect_env	.\mmseg\utils\__init__.py	/^from .collect_env import collect_env$/;"	i
collect_env	.\mmseg\utils\collect_env.py	/^def collect_env():$/;"	f
collect_env	.\tools\train.py	/^from mmseg.utils import collect_env, get_root_logger$/;"	i
collect_results_cpu	.\mmseg\apis\test.py	/^def collect_results_cpu(result_part, size, tmpdir=None):$/;"	f
collect_results_gpu	.\mmseg\apis\test.py	/^def collect_results_gpu(result_part, size):$/;"	f
collections	.\mmseg\datasets\pipelines\compose.py	/^import collections$/;"	i
compact	.\configs\_base_\models\psanet_r50-d8.py	/^        compact=False,$/;"	v
concat_input	.\configs\_base_\models\ann_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\apcnet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\ccnet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\cgnet.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\danet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\dmnet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\dnl_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\emanet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\encnet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\fast_scnn.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\fast_scnn.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\fcn_hr18.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\fcn_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\fcn_r50-d8.py	/^        concat_input=True,$/;"	v
concat_input	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\gcnet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\nonlocal_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\ocrnet_hr18.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\ocrnet_r50-d8.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\psanet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\pspnet_r50-d8.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\_base_\models\upernet_r50.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            concat_input=False,$/;"	v
concat_input	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            concat_input=False,$/;"	v
constant_init	.\mmseg\models\backbones\fast_scnn.py	/^from mmcv.cnn import (ConvModule, DepthwiseSeparableConvModule, constant_init,$/;"	i
constant_init	.\mmseg\models\backbones\hrnet.py	/^from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,$/;"	i
constant_init	.\mmseg\models\backbones\mobilenet_v2.py	/^from mmcv.cnn import ConvModule, constant_init, kaiming_init$/;"	i
constant_init	.\mmseg\models\backbones\mobilenet_v3.py	/^from mmcv.cnn import ConvModule, constant_init, kaiming_init$/;"	i
constant_init	.\mmseg\models\utils\self_attention_block.py	/^from mmcv.cnn import ConvModule, constant_init$/;"	i
container_abcs	.\mmseg\models\backbones\layers\helpers.py	/^from torch._six import container_abcs$/;"	i
container_abcs	.\mmseg\models\decode_heads\layers\helpers.py	/^from torch._six import container_abcs$/;"	i
content	.\docs\stat.py	/^        content = content_file.read()$/;"	v
contract_dilation	.\configs\_base_\models\ann_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\apcnet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\ccnet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\danet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\dmnet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\dnl_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\emanet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\encnet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\fcn_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\fpn_r50.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\gcnet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\nonlocal_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\ocrnet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\pointrend_r50.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\psanet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\pspnet_r50-d8.py	/^        contract_dilation=True),$/;"	v
contract_dilation	.\configs\_base_\models\upernet_r50.py	/^        contract_dilation=True),$/;"	v
contrast	.\mmseg\datasets\pipelines\transforms.py	/^    def contrast(self, img):$/;"	m	class:PhotoMetricDistortion
conv_cfg	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        conv_cfg=None,$/;"	v
conv_cfg	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        conv_cfg=None,$/;"	v
conv_cfg	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        conv_cfg=None,$/;"	v
convert	.\mmseg\datasets\pipelines\transforms.py	/^    def convert(self, img, alpha=1, beta=0):$/;"	m	class:PhotoMetricDistortion
convert_json_to_label	.\tools\convert_datasets\cityscapes.py	/^def convert_json_to_label(json_file):$/;"	f
convert_mat	.\tools\convert_datasets\voc_aug.py	/^def convert_mat(mat_file, in_dir, out_dir):$/;"	f
copy	.\mmseg\datasets\builder.py	/^import copy$/;"	i
copy	.\tests\test_data\test_loading.py	/^import copy$/;"	i
copy	.\tests\test_data\test_transform.py	/^import copy$/;"	i
copy	.\tests\test_models\test_forward.py	/^import copy$/;"	i
copy	.\tools\train.py	/^import copy$/;"	i
copyright	.\docs\conf.py	/^copyright = '2020-2020, OpenMMLab'$/;"	v
countstr	.\docs\stat.py	/^countstr = '\\n'.join($/;"	v
cp	.\mmseg\models\backbones\cgnet.py	/^import torch.utils.checkpoint as cp$/;"	i
cp	.\mmseg\models\backbones\resnest.py	/^import torch.utils.checkpoint as cp$/;"	i
cp	.\mmseg\models\backbones\resnet.py	/^import torch.utils.checkpoint as cp$/;"	i
cp	.\mmseg\models\backbones\unet.py	/^import torch.utils.checkpoint as cp$/;"	i
cp	.\mmseg\models\utils\inverted_residual.py	/^from torch.utils import checkpoint as cp$/;"	i
crop	.\mmseg\datasets\pipelines\transforms.py	/^    def crop(self, img, crop_bbox):$/;"	m	class:RandomCrop
crop_size	.\configs\_base_\datasets\FoodSeg103.py	/^crop_size = (512, 1024)$/;"	v
crop_size	.\configs\_base_\datasets\Recipe1M_768x768.py	/^crop_size = (768, 768)$/;"	v
crop_size	.\configs\_base_\datasets\ade20k.py	/^crop_size = (512, 512)$/;"	v
crop_size	.\configs\_base_\datasets\chase_db1.py	/^crop_size = (128, 128)$/;"	v
crop_size	.\configs\_base_\datasets\cityscapes.py	/^crop_size = (512, 1024)$/;"	v
crop_size	.\configs\_base_\datasets\cityscapes_769x769.py	/^crop_size = (769, 769)$/;"	v
crop_size	.\configs\_base_\datasets\drive.py	/^crop_size = (64, 64)$/;"	v
crop_size	.\configs\_base_\datasets\hrf.py	/^crop_size = (256, 256)$/;"	v
crop_size	.\configs\_base_\datasets\pascal_context.py	/^crop_size = (480, 480)$/;"	v
crop_size	.\configs\_base_\datasets\pascal_voc12.py	/^crop_size = (512, 512)$/;"	v
crop_size	.\configs\_base_\datasets\stare.py	/^crop_size = (128, 128)$/;"	v
crop_size	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^crop_size = (512, 1024)$/;"	v
crop_size	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^crop_size = (680, 680)$/;"	v
crop_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^crop_size = (768, 768)$/;"	v
crop_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^crop_size = (768, 768)$/;"	v
crop_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^crop_size = (768, 768)$/;"	v
crop_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^crop_size = (768, 768)$/;"	v
crop_size	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^crop_size = (768, 768)$/;"	v
crop_size	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^crop_size = (768, 768)$/;"	v
cross_entropy	.\mmseg\models\losses\cross_entropy_loss.py	/^def cross_entropy(pred,$/;"	f
cudnn_benchmark	.\configs\_base_\default_runtime.py	/^cudnn_benchmark = True$/;"	v
custom_keys	.\configs\dnlnet\dnl_r50-d8_769x769_80k_cityscapes.py	/^        custom_keys=dict(theta=dict(wd_mult=0.), phi=dict(wd_mult=0.))))$/;"	v
cv2	.\tools\convert_datasets\drive.py	/^import cv2$/;"	i
data	.\configs\_base_\datasets\FoodSeg103.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\Recipe1M_768x768.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\ade20k.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\chase_db1.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\cityscapes.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\cityscapes_769x769.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\drive.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\hrf.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\pascal_context.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\pascal_voc12.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\pascal_voc12_aug.py	/^data = dict($/;"	v
data	.\configs\_base_\datasets\stare.py	/^data = dict($/;"	v
data	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^data = dict($/;"	v
data	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^data = dict($/;"	v
data	.\configs\fastscnn\fast_scnn_4x8_80k_lr0.12_cityscapes.py	/^data = dict(samples_per_gpu=2, workers_per_gpu=4)$/;"	v
data	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^data = dict(samples_per_gpu=1)$/;"	v
data	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^data = dict(samples_per_gpu=1)$/;"	v
data	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^data = dict(samples_per_gpu=1)$/;"	v
data	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^data = dict(samples_per_gpu=1)$/;"	v
data	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^data = dict(samples_per_gpu=1)$/;"	v
data	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^data = dict(samples_per_gpu=1)$/;"	v
data	.\configs\mobilenet_v3\lraspp_m-v3-d8_512x1024_320k_cityscapes.py	/^data = dict(samples_per_gpu=4, workers_per_gpu=4)$/;"	v
data	.\configs\mobilenet_v3\lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes.py	/^data = dict(samples_per_gpu=4, workers_per_gpu=4)$/;"	v
data_root	.\configs\_base_\datasets\FoodSeg103.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\FoodSeg103.py	/^data_root = '.\/data\/Recipe1M\/'$/;"	v
data_root	.\configs\_base_\datasets\ade20k.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\ade20k.py	/^data_root = 'data\/ade\/ADEChallengeData2016'$/;"	v
data_root	.\configs\_base_\datasets\chase_db1.py	/^            data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\chase_db1.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\chase_db1.py	/^data_root = 'data\/CHASE_DB1'$/;"	v
data_root	.\configs\_base_\datasets\cityscapes.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\cityscapes.py	/^data_root = 'data\/cityscapes\/'$/;"	v
data_root	.\configs\_base_\datasets\drive.py	/^            data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\drive.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\drive.py	/^data_root = 'data\/DRIVE'$/;"	v
data_root	.\configs\_base_\datasets\hrf.py	/^            data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\hrf.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\hrf.py	/^data_root = 'data\/HRF'$/;"	v
data_root	.\configs\_base_\datasets\pascal_context.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\pascal_context.py	/^data_root = 'data\/VOCdevkit\/VOC2010\/'$/;"	v
data_root	.\configs\_base_\datasets\pascal_voc12.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\pascal_voc12.py	/^data_root = 'data\/VOCdevkit\/VOC2012'$/;"	v
data_root	.\configs\_base_\datasets\stare.py	/^            data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\stare.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\_base_\datasets\stare.py	/^data_root = 'data\/STARE'$/;"	v
data_root	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        data_root=data_root,$/;"	v
data_root	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^data_root = 'data\/cityscapes\/'$/;"	v
dataset	.\configs\_base_\datasets\chase_db1.py	/^        dataset=dict($/;"	v
dataset	.\configs\_base_\datasets\drive.py	/^        dataset=dict($/;"	v
dataset	.\configs\_base_\datasets\hrf.py	/^        dataset=dict($/;"	v
dataset	.\configs\_base_\datasets\stare.py	/^        dataset=dict($/;"	v
dataset_aliases	.\mmseg\core\evaluation\class_names.py	/^dataset_aliases = {$/;"	v
dataset_type	.\configs\_base_\datasets\FoodSeg103.py	/^dataset_type = 'CustomDataset'$/;"	v
dataset_type	.\configs\_base_\datasets\ade20k.py	/^dataset_type = 'ADE20KDataset'$/;"	v
dataset_type	.\configs\_base_\datasets\chase_db1.py	/^dataset_type = 'ChaseDB1Dataset'$/;"	v
dataset_type	.\configs\_base_\datasets\cityscapes.py	/^dataset_type = 'CityscapesDataset'$/;"	v
dataset_type	.\configs\_base_\datasets\drive.py	/^dataset_type = 'DRIVEDataset'$/;"	v
dataset_type	.\configs\_base_\datasets\hrf.py	/^dataset_type = 'HRFDataset'$/;"	v
dataset_type	.\configs\_base_\datasets\pascal_context.py	/^dataset_type = 'PascalContextDataset'$/;"	v
dataset_type	.\configs\_base_\datasets\pascal_voc12.py	/^dataset_type = 'PascalVOCDataset'$/;"	v
dataset_type	.\configs\_base_\datasets\stare.py	/^dataset_type = 'STAREDataset'$/;"	v
dataset_type	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^dataset_type = 'CityscapesDataset'$/;"	v
dec_dilations	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        dec_dilations=(1, 1, 1, 1),$/;"	v
dec_dilations	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        dec_dilations=(1, 1, 1, 1),$/;"	v
dec_dilations	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        dec_dilations=(1, 1, 1, 1),$/;"	v
dec_num_convs	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        dec_num_convs=(2, 2, 2, 2),$/;"	v
dec_num_convs	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        dec_num_convs=(2, 2, 2, 2),$/;"	v
dec_num_convs	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        dec_num_convs=(2, 2, 2, 2),$/;"	v
decode_head	.\configs\_base_\models\ann_r50-d8.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\_base_\models\apcnet_r50-d8.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\_base_\models\ccnet_r50-d8.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\_base_\models\cgnet.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\_base_\models\danet_r50-d8.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\_base_\models\deeplabv3_r50-d8.py	/^    decode_head=dict($/;"	v
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decode_head	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^    decode_head=dict(in_channels=320, c1_in_channels=24),$/;"	v
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decode_head	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_40k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
decode_head	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_80k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
decode_head	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^    decode_head=[$/;"	v
decode_head	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^    decode_head=[$/;"	v
decode_head	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^    decode_head=[$/;"	v
decode_head	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^    decode_head=[$/;"	v
decode_head	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^    decode_head=[$/;"	v
decode_head	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^    decode_head=[$/;"	v
decode_head	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^    decode_head=[$/;"	v
decode_head	.\configs\psanet\psanet_r50-d8_512x512_160k_ade20k.py	/^    decode_head=dict(mask_size=(66, 66), num_classes=150),$/;"	v
decode_head	.\configs\psanet\psanet_r50-d8_512x512_20k_voc12aug.py	/^    decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21))$/;"	v
decode_head	.\configs\psanet\psanet_r50-d8_512x512_40k_voc12aug.py	/^    decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21))$/;"	v
decode_head	.\configs\psanet\psanet_r50-d8_512x512_80k_ade20k.py	/^    decode_head=dict(mask_size=(66, 66), num_classes=150),$/;"	v
decode_head	.\configs\psanet\psanet_r50-d8_769x769_40k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
decode_head	.\configs\psanet\psanet_r50-d8_769x769_80k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
decode_head	.\configs\pspnet\pspnet_r18-d8_512x1024_80k_cityscapes.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\pspnet\pspnet_r18-d8_769x769_80k_cityscapes.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\pspnet\pspnet_r18b-d8_512x1024_80k_cityscapes.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\pspnet\pspnet_r18b-d8_769x769_80k_cityscapes.py	/^    decode_head=dict($/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_480x480_40k_pascal_context.py	/^    decode_head=dict(num_classes=60), auxiliary_head=dict(num_classes=60))$/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_480x480_80k_pascal_context.py	/^    decode_head=dict(num_classes=60), auxiliary_head=dict(num_classes=60))$/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_512x512_160k_ade20k.py	/^    decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150))$/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_512x512_20k_voc12aug.py	/^    decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21))$/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_512x512_40k_voc12aug.py	/^    decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21))$/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_512x512_80k_ade20k.py	/^    decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150))$/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_769x769_40k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
decode_head	.\configs\pspnet\pspnet_r50-d8_769x769_80k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
decode_head	.\configs\upernet\upernet_r50_512x512_160k_ade20k.py	/^    decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150))$/;"	v
decode_head	.\configs\upernet\upernet_r50_512x512_20k_voc12aug.py	/^    decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21))$/;"	v
decode_head	.\configs\upernet\upernet_r50_512x512_40k_voc12aug.py	/^    decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21))$/;"	v
decode_head	.\configs\upernet\upernet_r50_512x512_80k_ade20k.py	/^    decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150))$/;"	v
decode_head	.\configs\upernet\upernet_r50_769x769_40k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
decode_head	.\configs\upernet\upernet_r50_769x769_80k_cityscapes.py	/^    decode_head=dict(align_corners=True),$/;"	v
default_cfgs	.\mmseg\models\backbones\vit.py	/^default_cfgs = {$/;"	v
default_cfgs	.\mmseg\models\backbones\vit_mla.py	/^default_cfgs = {$/;"	v
deprecated_api_warning	.\mmseg\datasets\pipelines\transforms.py	/^from mmcv.utils import deprecated_api_warning, is_tuple_of$/;"	i
depth	.\configs\_base_\models\ann_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\apcnet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\ccnet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\danet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\dmnet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\dnl_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\emanet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\encnet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\fcn_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\fpn_r50.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\gcnet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\nonlocal_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\ocrnet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\pointrend_r50.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\psanet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\pspnet_r50-d8.py	/^        depth=50,$/;"	v
depth	.\configs\_base_\models\setr_mla.py	/^        depth=24,$/;"	v
depth	.\configs\_base_\models\setr_naive_pup.py	/^        depth=24,$/;"	v
depth	.\configs\_base_\models\upernet_r50.py	/^        depth=50,$/;"	v
depth	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        depth=101,$/;"	v
depth	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        depth=101,$/;"	v
depth	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        depth=101,$/;"	v
depth	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        depth=101,$/;"	v
depth	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        depth=12,$/;"	v
depth	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        depth=12,$/;"	v
depth	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        depth=12,$/;"	v
depth	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        depth=12,$/;"	v
depth	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        depth=12,$/;"	v
digit_version	.\mmseg\__init__.py	/^def digit_version(version_str):$/;"	f
dilations	.\configs\_base_\models\ann_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\apcnet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\ccnet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\cgnet.py	/^        dilations=(2, 4),$/;"	v
dilations	.\configs\_base_\models\danet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        dilations=(1, 12, 24, 36),$/;"	v
dilations	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        dilations=(1, 12, 24, 36),$/;"	v
dilations	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        dilations=(1, 12, 24, 36),$/;"	v
dilations	.\configs\_base_\models\dmnet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\dnl_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\emanet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\encnet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\fcn_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\fpn_r50.py	/^        dilations=(1, 1, 1, 1),$/;"	v
dilations	.\configs\_base_\models\gcnet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\nonlocal_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\ocrnet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\pointrend_r50.py	/^        dilations=(1, 1, 1, 1),$/;"	v
dilations	.\configs\_base_\models\psanet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\pspnet_r50-d8.py	/^        dilations=(1, 1, 2, 4),$/;"	v
dilations	.\configs\_base_\models\upernet_r50.py	/^        dilations=(1, 1, 1, 1),$/;"	v
dilations	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        dilations=(1, 1, 1, 2),$/;"	v
dilations	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        dilations=(1, 6, 12, 18),$/;"	v
dilations	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        dilations=(1, 1, 1, 2),$/;"	v
dilations	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        dilations=(1, 6, 12, 18),$/;"	v
dilations	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        dilations=(1, 1, 1, 2),$/;"	v
dilations	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        dilations=(1, 6, 12, 18),$/;"	v
dilations	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        dilations=(1, 1, 1, 2),$/;"	v
dilations	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        dilations=(1, 6, 12, 18),$/;"	v
dilations	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dilations	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x512_160k_ade20k.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dilations	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dilations	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dilations	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dilations	.\configs\mobilenet_v2\fcn_m-v2-d8_512x512_160k_ade20k.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dilations	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x1024_80k_cityscapes.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dilations	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x512_160k_ade20k.py	/^        dilations=(1, 1, 1, 2, 2, 4, 4),$/;"	v
dirname	.\tests\test_config.py	/^from os.path import dirname, exists, isdir, join, relpath$/;"	i
dirname	.\tests\test_models\test_forward.py	/^from os.path import dirname, exists, join$/;"	i
dist	.\mmseg\apis\test.py	/^import torch.distributed as dist$/;"	i
dist	.\mmseg\models\decode_heads\ema_head.py	/^import torch.distributed as dist$/;"	i
dist	.\mmseg\models\segmentors\base.py	/^import torch.distributed as dist$/;"	i
dist_params	.\configs\_base_\default_runtime.py	/^dist_params = dict(backend='nccl')$/;"	v
downsample_dw_channels	.\configs\_base_\models\fast_scnn.py	/^        downsample_dw_channels=(32, 48),$/;"	v
downsamples	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        downsamples=(True, True, True, True),$/;"	v
downsamples	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        downsamples=(True, True, True, True),$/;"	v
downsamples	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        downsamples=(True, True, True, True),$/;"	v
drop_block_2d	.\mmseg\models\backbones\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
drop_block_2d	.\mmseg\models\backbones\layers\drop.py	/^def drop_block_2d($/;"	f
drop_block_2d	.\mmseg\models\decode_heads\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
drop_block_2d	.\mmseg\models\decode_heads\layers\drop.py	/^def drop_block_2d($/;"	f
drop_block_fast_2d	.\mmseg\models\backbones\layers\drop.py	/^def drop_block_fast_2d($/;"	f
drop_block_fast_2d	.\mmseg\models\decode_heads\layers\drop.py	/^def drop_block_fast_2d($/;"	f
drop_path	.\mmseg\models\backbones\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
drop_path	.\mmseg\models\backbones\layers\drop.py	/^def drop_path(x, drop_prob: float = 0., training: bool = False):$/;"	f
drop_path	.\mmseg\models\decode_heads\layers\__init__.py	/^from .drop import DropBlock2d, DropPath, drop_block_2d, drop_path$/;"	i
drop_path	.\mmseg\models\decode_heads\layers\drop.py	/^def drop_path(x, drop_prob: float = 0., training: bool = False):$/;"	f
drop_rate	.\configs\_base_\models\setr_mla.py	/^        drop_rate=0.1,$/;"	v
drop_rate	.\configs\_base_\models\setr_naive_pup.py	/^        drop_rate=0.1,$/;"	v
drop_rate	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        drop_rate=0.,$/;"	v
drop_rate	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        drop_rate=0.,$/;"	v
drop_rate	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        drop_rate=0.,$/;"	v
drop_rate	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        drop_rate=0.,$/;"	v
drop_rate	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        drop_rate=0.$/;"	v
drop_rate	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        drop_rate=0.0,$/;"	v
dropout_ratio	.\configs\_base_\models\ann_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\apcnet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\ccnet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\cgnet.py	/^        dropout_ratio=0,$/;"	v
dropout_ratio	.\configs\_base_\models\danet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\dmnet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\dnl_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\emanet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\encnet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\fcn_hr18.py	/^        dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\_base_\models\fcn_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\fpn_r50.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\gcnet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\nonlocal_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\ocrnet_hr18.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\_base_\models\ocrnet_r50-d8.py	/^            dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\pointrend_r50.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\_base_\models\psanet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\pspnet_r50-d8.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\_base_\models\upernet_r50.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        dropout_ratio=0.1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            dropout_ratio=-1,$/;"	v
dropout_ratio	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        dropout_ratio=-1,$/;"	v
ema_channels	.\configs\_base_\models\emanet_r50-d8.py	/^        ema_channels=512,$/;"	v
embed_dim	.\configs\_base_\models\setr_mla.py	/^        embed_dim=1024,$/;"	v
embed_dim	.\configs\_base_\models\setr_naive_pup.py	/^        embed_dim=1024,$/;"	v
embed_dim	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        embed_dim=768,$/;"	v
embed_dim	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        embed_dim=768,$/;"	v
embed_dim	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        embed_dim=768,$/;"	v
embed_dim	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            embed_dim=768,$/;"	v
embed_dim	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        embed_dim=768,$/;"	v
embed_dim	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        embed_dim=768,$/;"	v
embedded_gaussian	.\mmseg\models\decode_heads\dnl_head.py	/^    def embedded_gaussian(self, theta_x, phi_x):$/;"	m	class:DisentangledNonLocal2d
enc_dilations	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        enc_dilations=(1, 1, 1, 1, 1),$/;"	v
enc_dilations	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        enc_dilations=(1, 1, 1, 1, 1),$/;"	v
enc_dilations	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        enc_dilations=(1, 1, 1, 1, 1),$/;"	v
enc_num_convs	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        enc_num_convs=(2, 2, 2, 2, 2),$/;"	v
enc_num_convs	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        enc_num_convs=(2, 2, 2, 2, 2),$/;"	v
enc_num_convs	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        enc_num_convs=(2, 2, 2, 2, 2),$/;"	v
encode_decode	.\mmseg\models\segmentors\base.py	/^    def encode_decode(self, img, img_metas):$/;"	m	class:BaseSegmentor
encode_decode	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^    def encode_decode(self, img, img_metas):$/;"	m	class:CascadeEncoderDecoder
encode_decode	.\mmseg\models\segmentors\encoder_decoder.py	/^    def encode_decode(self, img, img_metas):$/;"	m	class:EncoderDecoder
end	.\docs\make.bat	/^:end$/;"	l
errno	.\mmseg\models\backbones\helpers.py	/^import errno$/;"	i
eval_metrics	.\mmseg\core\evaluation\__init__.py	/^from .metrics import eval_metrics, mean_dice, mean_iou$/;"	i
eval_metrics	.\mmseg\core\evaluation\metrics.py	/^def eval_metrics(results,$/;"	f
eval_metrics	.\mmseg\datasets\custom.py	/^from mmseg.core import eval_metrics$/;"	i
eval_metrics	.\tests\test_metrics.py	/^from mmseg.core.evaluation import eval_metrics, mean_dice, mean_iou$/;"	i
evaluate	.\mmseg\core\evaluation\eval_hooks.py	/^    def evaluate(self, runner, results):$/;"	m	class:EvalHook
evaluate	.\mmseg\datasets\cityscapes.py	/^    def evaluate(self,$/;"	m	class:CityscapesDataset
evaluate	.\mmseg\datasets\custom.py	/^    def evaluate(self,$/;"	m	class:CustomDataset
evaluation	.\configs\_base_\schedules\schedule_160k.py	/^evaluation = dict(interval=16000, metric='mIoU')$/;"	v
evaluation	.\configs\_base_\schedules\schedule_20k.py	/^evaluation = dict(interval=2000, metric='mIoU')$/;"	v
evaluation	.\configs\_base_\schedules\schedule_40k.py	/^evaluation = dict(interval=4000, metric='mIoU')$/;"	v
evaluation	.\configs\_base_\schedules\schedule_80k.py	/^evaluation = dict(interval=4000, metric='mIoU')$/;"	v
evaluation	.\configs\_base_\schedules\schedule_80k_step.py	/^evaluation = dict(interval=4000, metric='mIoU')$/;"	v
evaluation	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^evaluation = dict(interval=4000, metric='mIoU')$/;"	v
evaluation	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^evaluation = dict(interval=4000, metric='mIoU')$/;"	v
evaluation	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^evaluation = dict(interval=80000, metric='mIoU')$/;"	v
evaluation	.\configs\foodnet\fpn_r50_512x1024_80k.py	/^evaluation = dict(interval=4000, metric='mIoU')$/;"	v
evaluation	.\configs\foodnet\fpn_r50_512x1024_80k_RM.py	/^evaluation = dict(interval=4000, metric='mIoU')$/;"	v
evaluation	.\configs\unet\deeplabv3_unet_s5-d16_128x128_40k_chase_db1.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\deeplabv3_unet_s5-d16_128x128_40k_stare.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\deeplabv3_unet_s5-d16_256x256_40k_hrf.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\deeplabv3_unet_s5-d16_64x64_40k_drive.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\fcn_unet_s5-d16_128x128_40k_chase_db1.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\fcn_unet_s5-d16_128x128_40k_stare.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\fcn_unet_s5-d16_256x256_40k_hrf.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\fcn_unet_s5-d16_64x64_40k_drive.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\pspnet_unet_s5-d16_128x128_40k_chase_db1.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\pspnet_unet_s5-d16_128x128_40k_stare.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\pspnet_unet_s5-d16_256x256_40k_hrf.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\configs\unet\pspnet_unet_s5-d16_64x64_40k_drive.py	/^evaluation = dict(metric='mDice')$/;"	v
evaluation	.\mmseg\datasets\cityscapes.py	/^            import cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling as CSEval  # noqa$/;"	i
exclude_patterns	.\docs\conf.py	/^exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']$/;"	v
exists	.\setup.py	/^    from os.path import exists$/;"	i
exists	.\tests\test_config.py	/^from os.path import dirname, exists, isdir, join, relpath$/;"	i
exists	.\tests\test_models\test_forward.py	/^from os.path import dirname, exists, join$/;"	i
expansion	.\mmseg\models\backbones\resnest.py	/^    expansion = 4$/;"	v	class:Bottleneck
expansion	.\mmseg\models\backbones\resnet.py	/^    expansion = 1$/;"	v	class:BasicBlock
expansion	.\mmseg\models\backbones\resnet.py	/^    expansion = 4$/;"	v	class:Bottleneck
extensions	.\docs\conf.py	/^extensions = [$/;"	v
extra	.\configs\_base_\models\fcn_hr18.py	/^        extra=dict($/;"	v
extra	.\configs\_base_\models\ocrnet_hr18.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_480x480_40k_pascal_context.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_480x480_80k_pascal_context.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_512x1024_160k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_512x1024_40k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_512x1024_80k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_512x512_160k_ade20k.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_512x512_20k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_512x512_40k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr18s_512x512_80k_ade20k.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_480x480_40k_pascal_context.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_480x480_80k_pascal_context.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_512x1024_160k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_512x1024_40k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_512x1024_80k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_512x512_160k_ade20k.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_512x512_20k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_512x512_40k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\hrnet\fcn_hr48_512x512_80k_ade20k.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr18s_512x1024_160k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr18s_512x1024_40k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr18s_512x1024_80k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr18s_512x512_160k_ade20k.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr18s_512x512_20k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr18s_512x512_40k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr18s_512x512_80k_ade20k.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^        extra=dict($/;"	v
extra	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^        extra=dict($/;"	v
extra_repr	.\mmseg\models\decode_heads\decode_head.py	/^    def extra_repr(self):$/;"	m	class:BaseDecodeHead
extract_feat	.\mmseg\models\segmentors\base.py	/^    def extract_feat(self, imgs):$/;"	m	class:BaseSegmentor
extract_feat	.\mmseg\models\segmentors\encoder_decoder.py	/^    def extract_feat(self, img):$/;"	m	class:EncoderDecoder
feature_strides	.\configs\_base_\models\fpn_r50.py	/^        feature_strides=[4, 8, 16, 32],$/;"	v
feature_strides	.\configs\_base_\models\pointrend_r50.py	/^            feature_strides=[4, 8, 16, 32],$/;"	v
feature_strides	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        feature_strides=[4, 8, 16, 32],$/;"	v
files	.\docs\stat.py	/^files = sorted(glob.glob('..\/configs\/*\/README.md'))$/;"	v
filter_sizes	.\configs\_base_\models\dmnet_r50-d8.py	/^        filter_sizes=(1, 3, 5, 7),$/;"	v
find_packages	.\setup.py	/^from setuptools import find_packages, setup$/;"	i
find_unused_parameters	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^find_unused_parameters = True$/;"	v
find_unused_parameters	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^find_unused_parameters = True$/;"	v
find_unused_parameters	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^find_unused_parameters = True$/;"	v
find_unused_parameters	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^find_unused_parameters = True$/;"	v
find_unused_parameters	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^find_unused_parameters = True$/;"	v
find_unused_parameters	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^find_unused_parameters = True$/;"	v
flatten_binary_logits	.\mmseg\models\losses\lovasz_loss.py	/^def flatten_binary_logits(logits, labels, ignore_index=None):$/;"	f
flatten_probs	.\mmseg\models\losses\lovasz_loss.py	/^def flatten_probs(probs, labels, ignore_index=None):$/;"	f
flip	.\configs\_base_\datasets\FoodSeg103.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\Recipe1M_768x768.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\ade20k.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\chase_db1.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\cityscapes.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\cityscapes_769x769.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\drive.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\hrf.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\pascal_context.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\pascal_voc12.py	/^        flip=False,$/;"	v
flip	.\configs\_base_\datasets\stare.py	/^        flip=False,$/;"	v
flip	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        flip=False,$/;"	v
flip	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^        flip=False,$/;"	v
force_fp32	.\mmseg\models\decode_heads\decode_head.py	/^from mmcv.runner import auto_fp16, force_fp32$/;"	i
format_results	.\mmseg\datasets\cityscapes.py	/^    def format_results(self, results, imgfile_prefix=None, to_label_id=True):$/;"	m	class:CityscapesDataset
format_results	.\mmseg\datasets\custom.py	/^    def format_results(self, results, **kwargs):$/;"	m	class:CustomDataset
forward	.\mmseg\models\backbones\cgnet.py	/^    def forward(self, x):$/;"	m	class:CGNet
forward	.\mmseg\models\backbones\cgnet.py	/^    def forward(self, x):$/;"	m	class:ContextGuidedBlock
forward	.\mmseg\models\backbones\cgnet.py	/^    def forward(self, x):$/;"	m	class:GlobalContextExtractor
forward	.\mmseg\models\backbones\cgnet.py	/^    def forward(self, x):$/;"	m	class:InputInjection
forward	.\mmseg\models\backbones\fast_scnn.py	/^    def forward(self, higher_res_feature, lower_res_feature):$/;"	m	class:FeatureFusionModule
forward	.\mmseg\models\backbones\fast_scnn.py	/^    def forward(self, x):$/;"	m	class:FastSCNN
forward	.\mmseg\models\backbones\fast_scnn.py	/^    def forward(self, x):$/;"	m	class:GlobalFeatureExtractor
forward	.\mmseg\models\backbones\fast_scnn.py	/^    def forward(self, x):$/;"	m	class:LearningToDownsample
forward	.\mmseg\models\backbones\hrnet.py	/^    def forward(self, x):$/;"	m	class:HRModule
forward	.\mmseg\models\backbones\hrnet.py	/^    def forward(self, x):$/;"	m	class:HRNet
forward	.\mmseg\models\backbones\layers\drop.py	/^    def forward(self, x):$/;"	m	class:DropBlock2d
forward	.\mmseg\models\backbones\layers\drop.py	/^    def forward(self, x):$/;"	m	class:DropPath
forward	.\mmseg\models\backbones\mobilenet_v2.py	/^    def forward(self, x):$/;"	m	class:MobileNetV2
forward	.\mmseg\models\backbones\mobilenet_v3.py	/^    def forward(self, x):$/;"	m	class:MobileNetV3
forward	.\mmseg\models\backbones\pvt.py	/^    def forward(self, x):$/;"	m	class:Mlp
forward	.\mmseg\models\backbones\pvt.py	/^    def forward(self, x):$/;"	m	class:PatchEmbed
forward	.\mmseg\models\backbones\pvt.py	/^    def forward(self, x):$/;"	m	class:PyramidVisionTransformer
forward	.\mmseg\models\backbones\pvt.py	/^    def forward(self, x, H, W):$/;"	m	class:Attention
forward	.\mmseg\models\backbones\pvt.py	/^    def forward(self, x, H, W):$/;"	m	class:Block
forward	.\mmseg\models\backbones\pvt_dia.py	/^    def forward(self, x):$/;"	m	class:Mlp
forward	.\mmseg\models\backbones\pvt_dia.py	/^    def forward(self, x):$/;"	m	class:PatchEmbed
forward	.\mmseg\models\backbones\pvt_dia.py	/^    def forward(self, x):$/;"	m	class:PyramidVisionTransformer
forward	.\mmseg\models\backbones\pvt_dia.py	/^    def forward(self, x, H, W):$/;"	m	class:Attention
forward	.\mmseg\models\backbones\pvt_dia.py	/^    def forward(self, x, H, W):$/;"	m	class:Block
forward	.\mmseg\models\backbones\resnest.py	/^    def forward(self, x):$/;"	m	class:Bottleneck
forward	.\mmseg\models\backbones\resnest.py	/^    def forward(self, x):$/;"	m	class:RSoftmax
forward	.\mmseg\models\backbones\resnest.py	/^    def forward(self, x):$/;"	m	class:SplitAttentionConv2d
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forward	.\mmseg\models\backbones\resnet.py	/^    def forward(self, x):$/;"	m	class:ResNet
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forward	.\mmseg\models\backbones\unet.py	/^    def forward(self, x):$/;"	m	class:DeconvModule
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forward	.\mmseg\models\backbones\unet.py	/^    def forward(self, x):$/;"	m	class:UNet
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forward	.\mmseg\models\backbones\vit.py	/^    def forward(self, x):$/;"	m	class:Block
forward	.\mmseg\models\backbones\vit.py	/^    def forward(self, x):$/;"	m	class:HybridEmbed
forward	.\mmseg\models\backbones\vit.py	/^    def forward(self, x):$/;"	m	class:Mlp
forward	.\mmseg\models\backbones\vit.py	/^    def forward(self, x):$/;"	m	class:PatchEmbed
forward	.\mmseg\models\backbones\vit.py	/^    def forward(self, x):$/;"	m	class:VisionTransformer
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forward	.\mmseg\models\backbones\vit_mla.py	/^    def forward(self, x):$/;"	m	class:HybridEmbed
forward	.\mmseg\models\backbones\vit_mla.py	/^    def forward(self, x):$/;"	m	class:Mlp
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forward	.\mmseg\models\backbones\vit_mla.py	/^    def forward(self, x):$/;"	m	class:VIT_MLA
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forward	.\mmseg\models\decode_heads\ann_head.py	/^    def forward(self, feats):$/;"	m	class:PPMConcat
forward	.\mmseg\models\decode_heads\ann_head.py	/^    def forward(self, inputs):$/;"	m	class:ANNHead
forward	.\mmseg\models\decode_heads\ann_head.py	/^    def forward(self, low_feats, high_feats):$/;"	m	class:AFNB
forward	.\mmseg\models\decode_heads\apc_head.py	/^    def forward(self, inputs):$/;"	m	class:APCHead
forward	.\mmseg\models\decode_heads\apc_head.py	/^    def forward(self, x):$/;"	m	class:ACM
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forward	.\mmseg\models\decode_heads\aspp_head.py	/^    def forward(self, x):$/;"	m	class:ASPPModule
forward	.\mmseg\models\decode_heads\cascade_decode_head.py	/^    def forward(self, inputs, prev_output):$/;"	m	class:BaseCascadeDecodeHead
forward	.\mmseg\models\decode_heads\cc_head.py	/^    def forward(self, inputs):$/;"	m	class:CCHead
forward	.\mmseg\models\decode_heads\da_head.py	/^    def forward(self, inputs):$/;"	m	class:DAHead
forward	.\mmseg\models\decode_heads\da_head.py	/^    def forward(self, x):$/;"	m	class:CAM
forward	.\mmseg\models\decode_heads\da_head.py	/^    def forward(self, x):$/;"	m	class:PAM
forward	.\mmseg\models\decode_heads\decode_head.py	/^    def forward(self, inputs):$/;"	m	class:BaseDecodeHead
forward	.\mmseg\models\decode_heads\dm_head.py	/^    def forward(self, inputs):$/;"	m	class:DMHead
forward	.\mmseg\models\decode_heads\dm_head.py	/^    def forward(self, x):$/;"	m	class:DCM
forward	.\mmseg\models\decode_heads\dnl_head.py	/^    def forward(self, inputs):$/;"	m	class:DNLHead
forward	.\mmseg\models\decode_heads\dnl_head.py	/^    def forward(self, x):$/;"	m	class:DisentangledNonLocal2d
forward	.\mmseg\models\decode_heads\ema_head.py	/^    def forward(self, feats):$/;"	m	class:EMAModule
forward	.\mmseg\models\decode_heads\ema_head.py	/^    def forward(self, inputs):$/;"	m	class:EMAHead
forward	.\mmseg\models\decode_heads\enc_head.py	/^    def forward(self, inputs):$/;"	m	class:EncHead
forward	.\mmseg\models\decode_heads\enc_head.py	/^    def forward(self, x):$/;"	m	class:EncModule
forward	.\mmseg\models\decode_heads\fcn_head.py	/^    def forward(self, inputs):$/;"	m	class:FCNHead
forward	.\mmseg\models\decode_heads\fpn_head.py	/^    def forward(self, inputs):$/;"	m	class:FPNHead
forward	.\mmseg\models\decode_heads\gc_head.py	/^    def forward(self, inputs):$/;"	m	class:GCHead
forward	.\mmseg\models\decode_heads\layers\drop.py	/^    def forward(self, x):$/;"	m	class:DropBlock2d
forward	.\mmseg\models\decode_heads\layers\drop.py	/^    def forward(self, x):$/;"	m	class:DropPath
forward	.\mmseg\models\decode_heads\lraspp_head.py	/^    def forward(self, inputs):$/;"	m	class:LRASPPHead
forward	.\mmseg\models\decode_heads\nl_head.py	/^    def forward(self, inputs):$/;"	m	class:NLHead
forward	.\mmseg\models\decode_heads\ocr_head.py	/^    def forward(self, feats, probs):$/;"	m	class:SpatialGatherModule
forward	.\mmseg\models\decode_heads\ocr_head.py	/^    def forward(self, inputs, prev_output):$/;"	m	class:OCRHead
forward	.\mmseg\models\decode_heads\ocr_head.py	/^    def forward(self, query_feats, key_feats):$/;"	m	class:ObjectAttentionBlock
forward	.\mmseg\models\decode_heads\point_head.py	/^    def forward(self, fine_grained_point_feats, coarse_point_feats):$/;"	m	class:PointHead
forward	.\mmseg\models\decode_heads\psa_head.py	/^    def forward(self, inputs):$/;"	m	class:PSAHead
forward	.\mmseg\models\decode_heads\psp_head.py	/^    def forward(self, inputs):$/;"	m	class:PSPHead
forward	.\mmseg\models\decode_heads\psp_head.py	/^    def forward(self, x):$/;"	m	class:PPM
forward	.\mmseg\models\decode_heads\sep_aspp_head.py	/^    def forward(self, inputs):$/;"	m	class:DepthwiseSeparableASPPHead
forward	.\mmseg\models\decode_heads\uper_head.py	/^    def forward(self, inputs):$/;"	m	class:UPerHead
forward	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^    def forward(self, x):$/;"	m	class:VIT_MLA_AUXIHead
forward	.\mmseg\models\decode_heads\vit_mla_head.py	/^    def forward(self, inputs):$/;"	m	class:VIT_MLAHead
forward	.\mmseg\models\decode_heads\vit_mla_head.py	/^    def forward(self, mla_p2, mla_p3, mla_p4, mla_p5):$/;"	m	class:MLAHead
forward	.\mmseg\models\decode_heads\vit_up_head.py	/^    def forward(self, x):$/;"	m	class:VisionTransformerUpHead
forward	.\mmseg\models\losses\accuracy.py	/^    def forward(self, pred, target):$/;"	m	class:Accuracy
forward	.\mmseg\models\losses\cross_entropy_loss.py	/^    def forward(self,$/;"	m	class:CrossEntropyLoss
forward	.\mmseg\models\losses\lovasz_loss.py	/^    def forward(self,$/;"	m	class:LovaszLoss
forward	.\mmseg\models\necks\fpn.py	/^    def forward(self, inputs):$/;"	m	class:FPN
forward	.\mmseg\models\segmentors\base.py	/^    def forward(self, img, img_metas, return_loss=True, **kwargs):$/;"	m	class:BaseSegmentor
forward	.\mmseg\models\utils\inverted_residual.py	/^    def forward(self, x):$/;"	m	class:InvertedResidual
forward	.\mmseg\models\utils\inverted_residual.py	/^    def forward(self, x):$/;"	m	class:InvertedResidualV3
forward	.\mmseg\models\utils\se_layer.py	/^    def forward(self, x):$/;"	m	class:SELayer
forward	.\mmseg\models\utils\self_attention_block.py	/^    def forward(self, query_feats, key_feats):$/;"	m	class:SelfAttentionBlock
forward	.\mmseg\models\utils\up_conv_block.py	/^    def forward(self, skip, x):$/;"	m	class:UpConvBlock
forward	.\mmseg\ops\encoding.py	/^    def forward(self, x):$/;"	m	class:Encoding
forward	.\mmseg\ops\wrappers.py	/^    def forward(self, x):$/;"	m	class:Upsample
forward	.\tests\test_eval_hook.py	/^    def forward(self, img, img_metas, test_mode=False, **kwargs):$/;"	m	class:ExampleModel
forward	.\tests\test_models\test_segmentor.py	/^    def forward(self, inputs):$/;"	m	class:ExampleDecodeHead
forward	.\tests\test_models\test_segmentor.py	/^    def forward(self, inputs, prev_out):$/;"	m	class:ExampleCascadeDecodeHead
forward	.\tests\test_models\test_segmentor.py	/^    def forward(self, x):$/;"	m	class:ExampleBackbone
forward_dummy	.\mmseg\models\segmentors\encoder_decoder.py	/^    def forward_dummy(self, img):$/;"	m	class:EncoderDecoder
forward_features	.\mmseg\models\backbones\pvt.py	/^    def forward_features(self, x):$/;"	m	class:PyramidVisionTransformer
forward_features	.\mmseg\models\backbones\pvt_dia.py	/^    def forward_features(self, x):$/;"	m	class:PyramidVisionTransformer
forward_plugin	.\mmseg\models\backbones\resnet.py	/^    def forward_plugin(self, x, plugin_names):$/;"	m	class:Bottleneck
forward_test	.\mmseg\models\decode_heads\cascade_decode_head.py	/^    def forward_test(self, inputs, prev_output, img_metas, test_cfg):$/;"	m	class:BaseCascadeDecodeHead
forward_test	.\mmseg\models\decode_heads\da_head.py	/^    def forward_test(self, inputs, img_metas, test_cfg):$/;"	m	class:DAHead
forward_test	.\mmseg\models\decode_heads\decode_head.py	/^    def forward_test(self, inputs, img_metas, test_cfg):$/;"	m	class:BaseDecodeHead
forward_test	.\mmseg\models\decode_heads\enc_head.py	/^    def forward_test(self, inputs, img_metas, test_cfg):$/;"	m	class:EncHead
forward_test	.\mmseg\models\decode_heads\point_head.py	/^    def forward_test(self, inputs, prev_output, img_metas, test_cfg):$/;"	m	class:PointHead
forward_test	.\mmseg\models\segmentors\base.py	/^    def forward_test(self, imgs, img_metas, **kwargs):$/;"	m	class:BaseSegmentor
forward_train	.\mmseg\models\decode_heads\cascade_decode_head.py	/^    def forward_train(self, inputs, prev_output, img_metas, gt_semantic_seg,$/;"	m	class:BaseCascadeDecodeHead
forward_train	.\mmseg\models\decode_heads\decode_head.py	/^    def forward_train(self, inputs, img_metas, gt_semantic_seg, train_cfg):$/;"	m	class:BaseDecodeHead
forward_train	.\mmseg\models\decode_heads\point_head.py	/^    def forward_train(self, inputs, prev_output, img_metas, gt_semantic_seg,$/;"	m	class:PointHead
forward_train	.\mmseg\models\segmentors\base.py	/^    def forward_train(self, imgs, img_metas, **kwargs):$/;"	m	class:BaseSegmentor
forward_train	.\mmseg\models\segmentors\encoder_decoder.py	/^    def forward_train(self, img, img_metas, gt_semantic_seg):$/;"	m	class:EncoderDecoder
func	.\docs\stat.py	/^import functools as func$/;"	i
functools	.\mmseg\models\losses\utils.py	/^import functools$/;"	i
fusion_out_channels	.\configs\_base_\models\fast_scnn.py	/^        fusion_out_channels=128,$/;"	v
fusion_types	.\configs\_base_\models\gcnet_r50-d8.py	/^        fusion_types=('channel_add', ),$/;"	v
gen_packages_items	.\setup.py	/^    def gen_packages_items():$/;"	f	function:parse_requirements
generate_aug_list	.\tools\convert_datasets\voc_aug.py	/^def generate_aug_list(merged_list, excluded_list):$/;"	f
generate_labels	.\tools\convert_datasets\pascal_context.py	/^def generate_labels(img_id, detail, out_dir):$/;"	f
get_ann_info	.\mmseg\datasets\custom.py	/^    def get_ann_info(self, idx):$/;"	m	class:CustomDataset
get_classes	.\mmseg\core\evaluation\__init__.py	/^from .class_names import get_classes, get_palette$/;"	i
get_classes	.\mmseg\core\evaluation\class_names.py	/^def get_classes(dataset):$/;"	f
get_classes	.\tests\test_data\test_dataset.py	/^from mmseg.core.evaluation import get_classes, get_palette$/;"	i
get_classes_and_palette	.\mmseg\datasets\custom.py	/^    def get_classes_and_palette(self, classes=None, palette=None):$/;"	m	class:CustomDataset
get_confusion_matrix	.\tests\test_metrics.py	/^def get_confusion_matrix(pred_label, label, num_classes, ignore_index):$/;"	f
get_crop_bbox	.\mmseg\datasets\pipelines\transforms.py	/^    def get_crop_bbox(self, img):$/;"	m	class:RandomCrop
get_dist_info	.\mmseg\apis\test.py	/^from mmcv.runner import get_dist_info$/;"	i
get_dist_info	.\mmseg\datasets\builder.py	/^from mmcv.runner import get_dist_info$/;"	i
get_dist_info	.\tools\test.py	/^from mmcv.runner import get_dist_info, init_dist, load_checkpoint$/;"	i
get_final_iter	.\.dev\gather_models.py	/^def get_final_iter(config):$/;"	f
get_final_results	.\.dev\gather_models.py	/^def get_final_results(log_json_path, iter_num):$/;"	f
get_git_hash	.\mmseg\utils\collect_env.py	/^from mmcv.utils import get_git_hash$/;"	i
get_git_hash	.\tools\train.py	/^from mmcv.utils import Config, DictAction, get_git_hash$/;"	i
get_gt_seg_maps	.\mmseg\datasets\custom.py	/^    def get_gt_seg_maps(self, efficient_test=False):$/;"	m	class:CustomDataset
get_logger	.\mmseg\utils\logger.py	/^from mmcv.utils import get_logger$/;"	i
get_model_complexity_info	.\tools\get_flops.py	/^from mmcv.cnn import get_model_complexity_info$/;"	i
get_palette	.\demo\image_demo.py	/^from mmseg.core.evaluation import get_palette$/;"	i
get_palette	.\mmseg\core\evaluation\__init__.py	/^from .class_names import get_classes, get_palette$/;"	i
get_palette	.\mmseg\core\evaluation\class_names.py	/^def get_palette(dataset):$/;"	f
get_palette	.\tests\test_data\test_dataset.py	/^from mmseg.core.evaluation import get_classes, get_palette$/;"	i
get_palette_for_custom_classes	.\mmseg\datasets\custom.py	/^    def get_palette_for_custom_classes(self, class_names, palette=None):$/;"	m	class:CustomDataset
get_points_test	.\mmseg\models\decode_heads\point_head.py	/^    def get_points_test(self, seg_logits, uncertainty_func, cfg):$/;"	m	class:PointHead
get_points_train	.\mmseg\models\decode_heads\point_head.py	/^    def get_points_train(self, seg_logits, uncertainty_func, cfg):$/;"	m	class:PointHead
get_root_logger	.\mmseg\apis\__init__.py	/^from .train import get_root_logger, set_random_seed, train_segmentor$/;"	i
get_root_logger	.\mmseg\apis\train.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\datasets\custom.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\models\backbones\cgnet.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\models\backbones\hrnet.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\models\backbones\pvt.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\models\backbones\pvt_dia.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\models\backbones\resnet.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\models\backbones\unet.py	/^from mmseg.utils import get_root_logger$/;"	i
get_root_logger	.\mmseg\utils\__init__.py	/^from .logger import get_root_logger$/;"	i
get_root_logger	.\mmseg\utils\logger.py	/^def get_root_logger(log_file=None, log_level=logging.INFO):$/;"	f
get_root_logger	.\tools\train.py	/^from mmseg.utils import collect_env, get_root_logger$/;"	i
get_version	.\docs\conf.py	/^def get_version():$/;"	f
get_version	.\setup.py	/^def get_version():$/;"	f
get_world_size	.\tests\test_models\test_forward.py	/^def get_world_size(process_group):$/;"	f
glob	.\.dev\gather_models.py	/^import glob$/;"	i
glob	.\docs\stat.py	/^import glob$/;"	i
glob	.\tests\test_config.py	/^    import glob$/;"	i
glob	.\tests\test_config.py	/^import glob$/;"	i
global_block_channels	.\configs\_base_\models\fast_scnn.py	/^        global_block_channels=(64, 96, 128),$/;"	v
global_block_strides	.\configs\_base_\models\fast_scnn.py	/^        global_block_strides=(2, 2, 1),$/;"	v
global_in_channels	.\configs\_base_\models\fast_scnn.py	/^        global_in_channels=64,$/;"	v
global_out_channels	.\configs\_base_\models\fast_scnn.py	/^        global_out_channels=128,$/;"	v
gzip	.\tools\convert_datasets\stare.py	/^import gzip$/;"	i
hard_limit	.\mmseg\datasets\builder.py	/^    hard_limit = rlimit[1]$/;"	v
help	.\docs\make.bat	/^:help$/;"	l
helpers	.\mmseg\datasets\cityscapes.py	/^            import cityscapesscripts.helpers.labels as CSLabels$/;"	i
helpers	.\mmseg\datasets\cityscapes.py	/^        import cityscapesscripts.helpers.labels as CSLabels$/;"	i
higher_in_channels	.\configs\_base_\models\fast_scnn.py	/^        higher_in_channels=64,$/;"	v
hooks	.\configs\_base_\default_runtime.py	/^    hooks=[$/;"	v
html_static_path	.\docs\conf.py	/^html_static_path = ['_static']$/;"	v
html_theme	.\docs\conf.py	/^html_theme = 'sphinx_rtd_theme'$/;"	v
hue	.\mmseg\datasets\pipelines\transforms.py	/^    def hue(self, img):$/;"	m	class:PhotoMetricDistortion
img_dir	.\configs\_base_\datasets\FoodSeg103.py	/^        img_dir='img_dir\/test',$/;"	v
img_dir	.\configs\_base_\datasets\FoodSeg103.py	/^        img_dir='img_dir\/train',$/;"	v
img_dir	.\configs\_base_\datasets\ade20k.py	/^        img_dir='images\/training',$/;"	v
img_dir	.\configs\_base_\datasets\ade20k.py	/^        img_dir='images\/validation',$/;"	v
img_dir	.\configs\_base_\datasets\chase_db1.py	/^            img_dir='images\/training',$/;"	v
img_dir	.\configs\_base_\datasets\chase_db1.py	/^        img_dir='images\/validation',$/;"	v
img_dir	.\configs\_base_\datasets\cityscapes.py	/^        img_dir='leftImg8bit\/train',$/;"	v
img_dir	.\configs\_base_\datasets\cityscapes.py	/^        img_dir='leftImg8bit\/val',$/;"	v
img_dir	.\configs\_base_\datasets\drive.py	/^            img_dir='images\/training',$/;"	v
img_dir	.\configs\_base_\datasets\drive.py	/^        img_dir='images\/validation',$/;"	v
img_dir	.\configs\_base_\datasets\hrf.py	/^            img_dir='images\/training',$/;"	v
img_dir	.\configs\_base_\datasets\hrf.py	/^        img_dir='images\/validation',$/;"	v
img_dir	.\configs\_base_\datasets\pascal_context.py	/^        img_dir='JPEGImages',$/;"	v
img_dir	.\configs\_base_\datasets\pascal_voc12.py	/^        img_dir='JPEGImages',$/;"	v
img_dir	.\configs\_base_\datasets\stare.py	/^            img_dir='images\/training',$/;"	v
img_dir	.\configs\_base_\datasets\stare.py	/^        img_dir='images\/validation',$/;"	v
img_dir	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        img_dir='leftImg8bit\/train',$/;"	v
img_dir	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        img_dir='leftImg8bit\/val',$/;"	v
img_norm_cfg	.\configs\_base_\datasets\FoodSeg103.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\Recipe1M_768x768.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\ade20k.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\chase_db1.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\cityscapes.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\cityscapes_769x769.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\drive.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\hrf.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\pascal_context.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\pascal_voc12.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\_base_\datasets\stare.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^img_norm_cfg = dict($/;"	v
img_norm_cfg	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^img_norm_cfg = dict($/;"	v
img_scale	.\configs\_base_\datasets\FoodSeg103.py	/^        img_scale=(2048, 1024),$/;"	v
img_scale	.\configs\_base_\datasets\Recipe1M_768x768.py	/^        img_scale=(2049, 1025),$/;"	v
img_scale	.\configs\_base_\datasets\ade20k.py	/^        img_scale=(2048, 512),$/;"	v
img_scale	.\configs\_base_\datasets\chase_db1.py	/^        img_scale=img_scale,$/;"	v
img_scale	.\configs\_base_\datasets\chase_db1.py	/^img_scale = (960, 999)$/;"	v
img_scale	.\configs\_base_\datasets\cityscapes.py	/^        img_scale=(2048, 1024),$/;"	v
img_scale	.\configs\_base_\datasets\cityscapes_769x769.py	/^        img_scale=(2049, 1025),$/;"	v
img_scale	.\configs\_base_\datasets\drive.py	/^        img_scale=img_scale,$/;"	v
img_scale	.\configs\_base_\datasets\drive.py	/^img_scale = (584, 565)$/;"	v
img_scale	.\configs\_base_\datasets\hrf.py	/^        img_scale=img_scale,$/;"	v
img_scale	.\configs\_base_\datasets\hrf.py	/^img_scale = (2336, 3504)$/;"	v
img_scale	.\configs\_base_\datasets\pascal_context.py	/^        img_scale=img_scale,$/;"	v
img_scale	.\configs\_base_\datasets\pascal_context.py	/^img_scale = (520, 520)$/;"	v
img_scale	.\configs\_base_\datasets\pascal_voc12.py	/^        img_scale=(2048, 512),$/;"	v
img_scale	.\configs\_base_\datasets\stare.py	/^        img_scale=img_scale,$/;"	v
img_scale	.\configs\_base_\datasets\stare.py	/^img_scale = (605, 700)$/;"	v
img_scale	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        img_scale=(2048, 1024),$/;"	v
img_scale	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^        img_scale=(2048, 1024),$/;"	v
img_size	.\configs\_base_\models\setr_mla.py	/^        img_size=768,$/;"	v
img_size	.\configs\_base_\models\setr_naive_pup.py	/^        img_size=768,$/;"	v
img_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        img_size=768,$/;"	v
img_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        img_size=768,$/;"	v
img_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        img_size=768,$/;"	v
img_size	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        img_size=768,$/;"	v
img_size	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            img_size=768,$/;"	v
img_size	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        img_size=768, $/;"	v
img_size	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        img_size=768,$/;"	v
in_channels	.\configs\_base_\models\ann_r50-d8.py	/^        in_channels=1024,$/;"	v
in_channels	.\configs\_base_\models\ann_r50-d8.py	/^        in_channels=[1024, 2048],$/;"	v
in_channels	.\configs\_base_\models\apcnet_r50-d8.py	/^        in_channels=1024,$/;"	v
in_channels	.\configs\_base_\models\apcnet_r50-d8.py	/^        in_channels=2048,$/;"	v
in_channels	.\configs\_base_\models\ccnet_r50-d8.py	/^        in_channels=1024,$/;"	v
in_channels	.\configs\_base_\models\ccnet_r50-d8.py	/^        in_channels=2048,$/;"	v
in_channels	.\configs\_base_\models\cgnet.py	/^        in_channels=256,$/;"	v
in_channels	.\configs\_base_\models\cgnet.py	/^        in_channels=3,$/;"	v
in_channels	.\configs\_base_\models\danet_r50-d8.py	/^        in_channels=1024,$/;"	v
in_channels	.\configs\_base_\models\danet_r50-d8.py	/^        in_channels=2048,$/;"	v
in_channels	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        in_channels=1024,$/;"	v
in_channels	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        in_channels=2048,$/;"	v
in_channels	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        in_channels=128,$/;"	v
in_channels	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        in_channels=3,$/;"	v
in_channels	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        in_channels=64,$/;"	v
in_channels	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        in_channels=1024,$/;"	v
in_channels	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        in_channels=2048,$/;"	v
in_channels	.\configs\_base_\models\dmnet_r50-d8.py	/^        in_channels=1024,$/;"	v
in_channels	.\configs\_base_\models\dmnet_r50-d8.py	/^        in_channels=2048,$/;"	v
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in_index	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        in_index=(0, 1, 2),$/;"	v
in_index	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        in_index=(0, 1, 2),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            in_index=(0, 1, 2, 3),$/;"	v
in_index	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        in_index=[0, 1, 2, 3],$/;"	v
in_index	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        in_index=[0],$/;"	v
inference	.\mmseg\models\segmentors\encoder_decoder.py	/^    def inference(self, img, img_meta, rescale):$/;"	m	class:EncoderDecoder
inference_segmentor	.\demo\image_demo.py	/^from mmseg.apis import inference_segmentor, init_segmentor, show_result_pyplot$/;"	i
inference_segmentor	.\mmseg\apis\__init__.py	/^from .inference import inference_segmentor, init_segmentor, show_result_pyplot$/;"	i
inference_segmentor	.\mmseg\apis\inference.py	/^def inference_segmentor(model, img):$/;"	f
inference_segmentor	.\tests\test_inference.py	/^from mmseg.apis import inference_segmentor, init_segmentor$/;"	i
init_dist	.\tools\test.py	/^from mmcv.runner import get_dist_info, init_dist, load_checkpoint$/;"	i
init_dist	.\tools\train.py	/^from mmcv.runner import init_dist$/;"	i
init_segmentor	.\demo\image_demo.py	/^from mmseg.apis import inference_segmentor, init_segmentor, show_result_pyplot$/;"	i
init_segmentor	.\mmseg\apis\__init__.py	/^from .inference import inference_segmentor, init_segmentor, show_result_pyplot$/;"	i
init_segmentor	.\mmseg\apis\inference.py	/^def init_segmentor(config, checkpoint=None, device='cuda:0'):$/;"	f
init_segmentor	.\tests\test_inference.py	/^from mmseg.apis import inference_segmentor, init_segmentor$/;"	i
init_weights	.\mmseg\models\backbones\cgnet.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:CGNet
init_weights	.\mmseg\models\backbones\fast_scnn.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:FastSCNN
init_weights	.\mmseg\models\backbones\hrnet.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:HRNet
init_weights	.\mmseg\models\backbones\mobilenet_v2.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:MobileNetV2
init_weights	.\mmseg\models\backbones\mobilenet_v3.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:MobileNetV3
init_weights	.\mmseg\models\backbones\pvt.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:PyramidVisionTransformer
init_weights	.\mmseg\models\backbones\pvt_dia.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:PyramidVisionTransformer
init_weights	.\mmseg\models\backbones\resnet.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:ResNet
init_weights	.\mmseg\models\backbones\unet.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:UNet
init_weights	.\mmseg\models\backbones\vit.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:VisionTransformer
init_weights	.\mmseg\models\backbones\vit_mla.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:VIT_MLA
init_weights	.\mmseg\models\decode_heads\decode_head.py	/^    def init_weights(self):$/;"	m	class:BaseDecodeHead
init_weights	.\mmseg\models\decode_heads\point_head.py	/^    def init_weights(self):$/;"	m	class:PointHead
init_weights	.\mmseg\models\decode_heads\vit_up_head.py	/^    def init_weights(self):$/;"	m	class:VisionTransformerUpHead
init_weights	.\mmseg\models\necks\fpn.py	/^    def init_weights(self):$/;"	m	class:FPN
init_weights	.\mmseg\models\segmentors\base.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:BaseSegmentor
init_weights	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:CascadeEncoderDecoder
init_weights	.\mmseg\models\segmentors\encoder_decoder.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:EncoderDecoder
init_weights	.\mmseg\models\utils\self_attention_block.py	/^    def init_weights(self):$/;"	m	class:SelfAttentionBlock
init_weights	.\tests\test_models\test_segmentor.py	/^    def init_weights(self, pretrained=None):$/;"	m	class:ExampleBackbone
input_shape	.\tools\pytorch2onnx.py	/^        input_shape = ($/;"	v
input_shape	.\tools\pytorch2onnx.py	/^        input_shape = (1, 3, args.shape[0], args.shape[0])$/;"	v
input_transform	.\configs\_base_\models\fcn_hr18.py	/^        input_transform='resize_concat',$/;"	v
input_transform	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        input_transform='multiple_select',$/;"	v
input_transform	.\configs\_base_\models\ocrnet_hr18.py	/^            input_transform='resize_concat',$/;"	v
input_transform	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        input_transform='multiple_select',$/;"	v
input_transform	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        input_transform='multiple_select',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            input_transform='resize_concat',$/;"	v
input_transform	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            input_transform='resize_concat',$/;"	v
intersect_and_union	.\mmseg\core\evaluation\metrics.py	/^def intersect_and_union(pred_label,$/;"	f
interval	.\configs\_base_\default_runtime.py	/^    interval=50,$/;"	v
is_block	.\tests\test_models\test_backbone.py	/^def is_block(modules):$/;"	f
is_norm	.\tests\test_models\test_backbone.py	/^def is_norm(modules):$/;"	f
is_tuple_of	.\mmseg\datasets\pipelines\transforms.py	/^from mmcv.utils import deprecated_api_warning, is_tuple_of$/;"	i
is_tuple_of	.\mmseg\models\decode_heads\lraspp_head.py	/^from mmcv import is_tuple_of$/;"	i
isdir	.\tests\test_config.py	/^from os.path import dirname, exists, isdir, join, relpath$/;"	i
join	.\tests\test_config.py	/^from os.path import dirname, exists, isdir, join, relpath$/;"	i
join	.\tests\test_models\test_forward.py	/^from os.path import dirname, exists, join$/;"	i
json	.\.dev\gather_models.py	/^import json$/;"	i
json2labelImg	.\tools\convert_datasets\cityscapes.py	/^from cityscapesscripts.preparation.json2labelImg import json2labelImg$/;"	i
kaiming_init	.\mmseg\models\backbones\mobilenet_v2.py	/^from mmcv.cnn import ConvModule, constant_init, kaiming_init$/;"	i
kaiming_init	.\mmseg\models\backbones\mobilenet_v3.py	/^from mmcv.cnn import ConvModule, constant_init, kaiming_init$/;"	i
kernel_size	.\configs\_base_\models\fcn_hr18.py	/^        kernel_size=1,$/;"	v
kernel_size	.\configs\_base_\models\ocrnet_hr18.py	/^            kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            kernel_size=1,$/;"	v
kernel_size	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            kernel_size=1,$/;"	v
key_pool_scales	.\configs\_base_\models\ann_r50-d8.py	/^        key_pool_scales=(1, 3, 6, 8),$/;"	v
legacy_mean_dice	.\tests\test_metrics.py	/^def legacy_mean_dice(results, gt_seg_maps, num_classes, ignore_index):$/;"	f
legacy_mean_iou	.\tests\test_metrics.py	/^def legacy_mean_iou(results, gt_seg_maps, num_classes, ignore_index):$/;"	f
load_annotations	.\mmseg\datasets\custom.py	/^    def load_annotations(self, img_dir, img_suffix, ann_dir, seg_map_suffix,$/;"	m	class:CustomDataset
load_checkpoint	.\mmseg\apis\inference.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\cgnet.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\hrnet.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\mobilenet_v2.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\mobilenet_v3.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\pvt.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\pvt_dia.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\resnet.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\mmseg\models\backbones\unet.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\tools\benchmark.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\tools\pytorch2onnx.py	/^from mmcv.runner import load_checkpoint$/;"	i
load_checkpoint	.\tools\test.py	/^from mmcv.runner import get_dist_info, init_dist, load_checkpoint$/;"	i
load_from	.\configs\_base_\default_runtime.py	/^load_from = None$/;"	v
load_pretrained	.\mmseg\models\backbones\helpers.py	/^def load_pretrained(model, cfg=None, num_classes=1000, in_chans=3, filter_fn=None, strict=True, pos_embed_interp=False, num_patches=576, align_corners=False):$/;"	f
load_pretrained	.\mmseg\models\backbones\vit.py	/^from .helpers import load_pretrained$/;"	i
load_pretrained	.\mmseg\models\backbones\vit_mla.py	/^from .helpers import load_pretrained$/;"	i
load_pretrained	.\mmseg\models\decode_heads\helpers.py	/^def load_pretrained(model, cfg=None, num_classes=1000, in_chans=3, filter_fn=None, strict=True, pos_embed_interp=False, num_patches=576, align_corners=False):$/;"	f
load_pretrained	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from .helpers import load_pretrained$/;"	i
load_pretrained	.\mmseg\models\decode_heads\vit_mla_head.py	/^from .helpers import load_pretrained$/;"	i
load_pretrained	.\mmseg\models\decode_heads\vit_up_head.py	/^from .helpers import load_pretrained$/;"	i
load_state_dict_from_url	.\mmseg\models\backbones\helpers.py	/^def load_state_dict_from_url(url, model_dir=None, file_name=None, check_hash=False, progress=True, map_location=None):$/;"	f
loadmat	.\tools\convert_datasets\voc_aug.py	/^from scipy.io import loadmat$/;"	i
log_config	.\configs\_base_\default_runtime.py	/^log_config = dict($/;"	v
log_level	.\configs\_base_\default_runtime.py	/^log_level = 'INFO'$/;"	v
logging	.\mmseg\models\backbones\helpers.py	/^import logging$/;"	i
logging	.\mmseg\models\backbones\mobilenet_v2.py	/^import logging$/;"	i
logging	.\mmseg\models\backbones\mobilenet_v3.py	/^import logging$/;"	i
logging	.\mmseg\models\decode_heads\helpers.py	/^import logging$/;"	i
logging	.\mmseg\models\segmentors\base.py	/^import logging$/;"	i
logging	.\mmseg\utils\logger.py	/^import logging$/;"	i
logging	.\tests\test_eval_hook.py	/^import logging$/;"	i
loss_decode	.\configs\_base_\models\ann_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\apcnet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\ccnet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\cgnet.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\danet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\dmnet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\dnl_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\emanet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\encnet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\fast_scnn.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\fast_scnn.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\fcn_hr18.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\fcn_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\fpn_r50.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\gcnet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\nonlocal_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\ocrnet_hr18.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\ocrnet_r50-d8.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\pointrend_r50.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\psanet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\pspnet_r50-d8.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\setr_mla.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\setr_naive_pup.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\_base_\models\upernet_r50.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            loss_decode=dict($/;"	v
loss_decode	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        loss_decode=dict($/;"	v
loss_se_decode	.\configs\_base_\models\encnet_r50-d8.py	/^        loss_se_decode=dict($/;"	v
loss_weight	.\configs\_base_\models\cgnet.py	/^            loss_weight=1.0,$/;"	v
losses	.\mmseg\models\decode_heads\da_head.py	/^    def losses(self, seg_logit, seg_label):$/;"	m	class:DAHead
losses	.\mmseg\models\decode_heads\decode_head.py	/^    def losses(self, seg_logit, seg_label):$/;"	m	class:BaseDecodeHead
losses	.\mmseg\models\decode_heads\enc_head.py	/^    def losses(self, seg_logit, seg_label):$/;"	m	class:EncHead
losses	.\mmseg\models\decode_heads\point_head.py	/^    def losses(self, point_logits, point_label):$/;"	m	class:PointHead
lovasz_grad	.\mmseg\models\losses\lovasz_loss.py	/^def lovasz_grad(gt_sorted):$/;"	f
lovasz_hinge	.\mmseg\models\losses\lovasz_loss.py	/^def lovasz_hinge(logits,$/;"	f
lovasz_hinge_flat	.\mmseg\models\losses\lovasz_loss.py	/^def lovasz_hinge_flat(logits, labels):$/;"	f
lovasz_softmax	.\mmseg\models\losses\lovasz_loss.py	/^def lovasz_softmax(probs,$/;"	f
lovasz_softmax_flat	.\mmseg\models\losses\lovasz_loss.py	/^def lovasz_softmax_flat(probs, labels, classes='present', class_weight=None):$/;"	f
lower_in_channels	.\configs\_base_\models\fast_scnn.py	/^        lower_in_channels=128,$/;"	v
lr_config	.\configs\_base_\schedules\schedule_160k.py	/^lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)$/;"	v
lr_config	.\configs\_base_\schedules\schedule_20k.py	/^lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)$/;"	v
lr_config	.\configs\_base_\schedules\schedule_40k.py	/^lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)$/;"	v
lr_config	.\configs\_base_\schedules\schedule_80k.py	/^lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)$/;"	v
lr_config	.\configs\_base_\schedules\schedule_80k_step.py	/^lr_config = dict($/;"	v
lr_config	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)$/;"	v
lr_config	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)$/;"	v
lr_config	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^lr_config = dict(policy='step',    $/;"	v
lr_config	.\configs\ocrnet\ocrnet_r101-d8_512x1024_40k_b16_cityscapes.py	/^lr_config = dict(min_lr=2e-4)$/;"	v
lr_config	.\configs\ocrnet\ocrnet_r101-d8_512x1024_80k_b16_cityscapes.py	/^lr_config = dict(min_lr=2e-4)$/;"	v
lr_config	.\configs\point_rend\pointrend_r50_512x1024_80k_cityscapes.py	/^lr_config = dict(warmup='linear', warmup_iters=200)$/;"	v
lr_config	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^lr_config = dict(warmup='linear', warmup_iters=200)$/;"	v
main	.\.dev\gather_models.py	/^def main():$/;"	f
main	.\.dev\upload_modelzoo.py	/^def main():$/;"	f
main	.\demo\image_demo.py	/^def main():$/;"	f
main	.\tools\benchmark.py	/^def main():$/;"	f
main	.\tools\convert_datasets\chase_db1.py	/^def main():$/;"	f
main	.\tools\convert_datasets\cityscapes.py	/^def main():$/;"	f
main	.\tools\convert_datasets\drive.py	/^def main():$/;"	f
main	.\tools\convert_datasets\hrf.py	/^def main():$/;"	f
main	.\tools\convert_datasets\pascal_context.py	/^def main():$/;"	f
main	.\tools\convert_datasets\stare.py	/^def main():$/;"	f
main	.\tools\convert_datasets\voc_aug.py	/^def main():$/;"	f
main	.\tools\get_flops.py	/^def main():$/;"	f
main	.\tools\print_config.py	/^def main():$/;"	f
main	.\tools\publish_model.py	/^def main():$/;"	f
main	.\tools\test.py	/^def main():$/;"	f
main	.\tools\train.py	/^def main():$/;"	f
make_block_plugins	.\mmseg\models\backbones\resnet.py	/^    def make_block_plugins(self, in_channels, plugins):$/;"	m	class:Bottleneck
make_divisible	.\mmseg\models\backbones\mobilenet_v2.py	/^from ..utils import InvertedResidual, make_divisible$/;"	i
make_divisible	.\mmseg\models\utils\__init__.py	/^from .make_divisible import make_divisible$/;"	i
make_divisible	.\mmseg\models\utils\make_divisible.py	/^def make_divisible(value, divisor, min_value=None, min_ratio=0.9):$/;"	f
make_divisible	.\mmseg\models\utils\se_layer.py	/^from .make_divisible import make_divisible$/;"	i
make_divisible	.\tests\test_utils\test_make_divisible.py	/^from mmseg.models.utils import make_divisible$/;"	i
make_layer	.\mmseg\models\backbones\mobilenet_v2.py	/^    def make_layer(self, out_channels, num_blocks, stride, dilation,$/;"	m	class:MobileNetV2
make_res_layer	.\mmseg\models\backbones\resnest.py	/^    def make_res_layer(self, **kwargs):$/;"	m	class:ResNeSt
make_res_layer	.\mmseg\models\backbones\resnet.py	/^    def make_res_layer(self, **kwargs):$/;"	m	class:ResNet
make_res_layer	.\mmseg\models\backbones\resnext.py	/^    def make_res_layer(self, **kwargs):$/;"	m	class:ResNeXt
make_stage_plugins	.\mmseg\models\backbones\resnet.py	/^    def make_stage_plugins(self, plugins, stage_idx):$/;"	m	class:ResNet
mask_cross_entropy	.\mmseg\models\losses\cross_entropy_loss.py	/^def mask_cross_entropy(pred,$/;"	f
mask_size	.\configs\_base_\models\psanet_r50-d8.py	/^        mask_size=(97, 97),$/;"	v
master_doc	.\docs\conf.py	/^master_doc = 'index'$/;"	v
math	.\mmseg\models\backbones\helpers.py	/^import math$/;"	i
math	.\mmseg\models\backbones\layers\weight_init.py	/^import math$/;"	i
math	.\mmseg\models\backbones\resnest.py	/^import math$/;"	i
math	.\mmseg\models\backbones\resnext.py	/^import math$/;"	i
math	.\mmseg\models\backbones\vit.py	/^import math$/;"	i
math	.\mmseg\models\backbones\vit_mla.py	/^import math$/;"	i
math	.\mmseg\models\decode_heads\ema_head.py	/^import math$/;"	i
math	.\mmseg\models\decode_heads\helpers.py	/^import math$/;"	i
math	.\mmseg\models\decode_heads\layers\weight_init.py	/^import math$/;"	i
math	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^import math$/;"	i
math	.\mmseg\models\decode_heads\vit_mla_head.py	/^import math$/;"	i
math	.\mmseg\models\decode_heads\vit_up_head.py	/^import math$/;"	i
math	.\tests\test_data\test_dataset_builder.py	/^import math$/;"	i
matplotlib	.\mmseg\apis\inference.py	/^import matplotlib.pyplot as plt$/;"	i
mean_dice	.\mmseg\core\evaluation\__init__.py	/^from .metrics import eval_metrics, mean_dice, mean_iou$/;"	i
mean_dice	.\mmseg\core\evaluation\metrics.py	/^def mean_dice(results,$/;"	f
mean_dice	.\tests\test_metrics.py	/^from mmseg.core.evaluation import eval_metrics, mean_dice, mean_iou$/;"	i
mean_iou	.\mmseg\core\evaluation\__init__.py	/^from .metrics import eval_metrics, mean_dice, mean_iou$/;"	i
mean_iou	.\mmseg\core\evaluation\metrics.py	/^def mean_iou(results,$/;"	f
mean_iou	.\tests\test_metrics.py	/^from mmseg.core.evaluation import eval_metrics, mean_dice, mean_iou$/;"	i
mla_channels	.\configs\_base_\models\setr_mla.py	/^        mla_channels=256,$/;"	v
mla_channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        mla_channels=256,$/;"	v
mla_channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        mla_channels=256,$/;"	v
mla_channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        mla_channels=256,$/;"	v
mla_channels	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        mla_channels=256,$/;"	v
mla_index	.\configs\_base_\models\setr_mla.py	/^        mla_index=(5,11,17,23)$/;"	v
mla_index	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        mla_index=(5,7,9,11)$/;"	v
mla_index	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        mla_index=(5,7,9,11)$/;"	v
mla_index	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        mla_index=(5,7,9,11)$/;"	v
mla_index	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        mla_index=(5,11,17,23)$/;"	v
mlahead_channels	.\configs\_base_\models\setr_mla.py	/^        mlahead_channels=128,$/;"	v
mmcv	.\.dev\gather_models.py	/^import mmcv$/;"	i
mmcv	.\mmseg\__init__.py	/^import mmcv$/;"	i
mmcv	.\mmseg\apis\inference.py	/^import mmcv$/;"	i
mmcv	.\mmseg\apis\test.py	/^import mmcv$/;"	i
mmcv	.\mmseg\core\evaluation\class_names.py	/^import mmcv$/;"	i
mmcv	.\mmseg\core\evaluation\metrics.py	/^import mmcv$/;"	i
mmcv	.\mmseg\datasets\cityscapes.py	/^import mmcv$/;"	i
mmcv	.\mmseg\datasets\custom.py	/^import mmcv$/;"	i
mmcv	.\mmseg\datasets\pipelines\formating.py	/^import mmcv$/;"	i
mmcv	.\mmseg\datasets\pipelines\loading.py	/^import mmcv$/;"	i
mmcv	.\mmseg\datasets\pipelines\test_time_aug.py	/^import mmcv$/;"	i
mmcv	.\mmseg\datasets\pipelines\transforms.py	/^import mmcv$/;"	i
mmcv	.\mmseg\models\backbones\mobilenet_v3.py	/^import mmcv$/;"	i
mmcv	.\mmseg\models\losses\lovasz_loss.py	/^import mmcv$/;"	i
mmcv	.\mmseg\models\segmentors\base.py	/^import mmcv$/;"	i
mmcv	.\mmseg\models\utils\se_layer.py	/^import mmcv$/;"	i
mmcv	.\tests\test_data\test_loading.py	/^import mmcv$/;"	i
mmcv	.\tests\test_data\test_transform.py	/^import mmcv$/;"	i
mmcv	.\tests\test_data\test_tta.py	/^import mmcv$/;"	i
mmcv	.\tests\test_eval_hook.py	/^import mmcv.runner$/;"	i
mmcv	.\tests\test_inference.py	/^import mmcv$/;"	i
mmcv	.\tests\test_utils\test_inverted_residual_module.py	/^import mmcv$/;"	i
mmcv	.\tests\test_utils\test_se_layer.py	/^import mmcv$/;"	i
mmcv	.\tools\convert_datasets\chase_db1.py	/^import mmcv$/;"	i
mmcv	.\tools\convert_datasets\cityscapes.py	/^import mmcv$/;"	i
mmcv	.\tools\convert_datasets\drive.py	/^import mmcv$/;"	i
mmcv	.\tools\convert_datasets\hrf.py	/^import mmcv$/;"	i
mmcv	.\tools\convert_datasets\pascal_context.py	/^import mmcv$/;"	i
mmcv	.\tools\convert_datasets\stare.py	/^import mmcv$/;"	i
mmcv	.\tools\convert_datasets\voc_aug.py	/^import mmcv$/;"	i
mmcv	.\tools\pytorch2onnx.py	/^import mmcv$/;"	i
mmcv	.\tools\test.py	/^import mmcv$/;"	i
mmcv	.\tools\train.py	/^import mmcv$/;"	i
mmcv_max_version	.\mmseg\__init__.py	/^mmcv_max_version = digit_version(MMCV_MAX)$/;"	v
mmcv_min_version	.\mmseg\__init__.py	/^mmcv_min_version = digit_version(MMCV_MIN)$/;"	v
mmcv_version	.\mmseg\__init__.py	/^mmcv_version = digit_version(mmcv.__version__)$/;"	v
mmseg	.\mmseg\utils\collect_env.py	/^import mmseg$/;"	i
mmseg	.\tests\test_config.py	/^        import mmseg$/;"	i
mmseg	.\tests\test_models\test_forward.py	/^        import mmseg$/;"	i
mode	.\configs\_base_\models\dnl_r50-d8.py	/^        mode='embedded_gaussian',$/;"	v
mode	.\configs\_base_\models\nonlocal_r50-d8.py	/^        mode='embedded_gaussian',$/;"	v
mode	.\configs\_base_\models\pointrend_r50.py	/^        mode='whole',$/;"	v
model	.\configs\_base_\models\ann_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\apcnet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\ccnet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\cgnet.py	/^model = dict($/;"	v
model	.\configs\_base_\models\danet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\deeplabv3_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^model = dict($/;"	v
model	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\dmnet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\dnl_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\emanet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\encnet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\fast_scnn.py	/^model = dict($/;"	v
model	.\configs\_base_\models\fcn_hr18.py	/^model = dict($/;"	v
model	.\configs\_base_\models\fcn_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\fcn_unet_s5-d16.py	/^model = dict($/;"	v
model	.\configs\_base_\models\fpn_r50.py	/^model = dict($/;"	v
model	.\configs\_base_\models\gcnet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\lraspp_m-v3-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\nonlocal_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\ocrnet_hr18.py	/^model = dict($/;"	v
model	.\configs\_base_\models\ocrnet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\pointrend_r50.py	/^model = dict($/;"	v
model	.\configs\_base_\models\psanet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\pspnet_r50-d8.py	/^model = dict($/;"	v
model	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^model = dict($/;"	v
model	.\configs\_base_\models\setr_mla.py	/^model = dict($/;"	v
model	.\configs\_base_\models\setr_naive_pup.py	/^model = dict($/;"	v
model	.\configs\_base_\models\upernet_r50.py	/^model = dict($/;"	v
model	.\configs\ann\ann_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ann\ann_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ann\ann_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ann\ann_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ann\ann_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ann\ann_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ann\ann_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\apcnet\apcnet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\apcnet\apcnet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\apcnet\apcnet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\apcnet\apcnet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\apcnet\apcnet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\apcnet\apcnet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\apcnet\apcnet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\apcnet\apcnet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\apcnet\apcnet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\apcnet\apcnet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ccnet\ccnet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ccnet\ccnet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ccnet\ccnet_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ccnet\ccnet_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ccnet\ccnet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ccnet\ccnet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ccnet\ccnet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\danet\danet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\danet\danet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\danet\danet_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\danet\danet_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\danet\danet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\danet\danet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\danet\danet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_480x480_40k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_480x480_80k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r101b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r101b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r18-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r18-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r18b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r18b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_480x480_40k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_480x480_80k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3\deeplabv3_r50b-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\deeplabv3\deeplabv3_r50b-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_480x480_40k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_480x480_80k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r101b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r18-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r18b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_480x480_40k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_480x480_80k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50b-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\deeplabv3plus\deeplabv3plus_r50b-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\dmnet\dmnet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dmnet\dmnet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dmnet\dmnet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dmnet\dmnet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dmnet\dmnet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dmnet\dmnet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dmnet\dmnet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\dmnet\dmnet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\dmnet\dmnet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\dmnet\dmnet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\dnlnet\dnl_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dnlnet\dnl_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dnlnet\dnl_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dnlnet\dnl_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dnlnet\dnl_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dnlnet\dnl_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\dnlnet\dnl_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\dnlnet\dnl_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\dnlnet\dnl_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\dnlnet\dnl_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\emanet\emanet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\emanet\emanet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\emanet\emanet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\encnet\encnet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\encnet\encnet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\encnet\encnet_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\encnet\encnet_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\encnet\encnet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\encnet\encnet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\encnet\encnet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\encnet\encnet_r50s-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r101-d8_480x480_40k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_480x480_80k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\fcn\fcn_r101b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r101b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r18-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r18-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r18b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r18b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_480x480_40k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_480x480_80k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\fcn\fcn_r50b-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\fcn\fcn_r50b-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^model = dict($/;"	v
model	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^model = dict($/;"	v
model	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^model = dict($/;"	v
model	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^model = dict($/;"	v
model	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^model = dict($/;"	v
model	.\configs\foodnet\ccnet_r50-d8_512x1024_80k_RM.py	/^model = dict(pretrained='.\/pretrained_model\/recipe1M_R50_LSTM.pth', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^model = dict($/;"	v
model	.\configs\foodnet\fpn_r50_512x1024_80k.py	/^model = dict(decode_head=dict(num_classes=104))$/;"	v
model	.\configs\foodnet\fpn_r50_512x1024_80k_RM.py	/^model = dict(pretrained='.\/pretrained_model\/recipe1M_R50_LSTM.pth', $/;"	v
model	.\configs\gcnet\gcnet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\gcnet\gcnet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\gcnet\gcnet_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\gcnet\gcnet_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\gcnet\gcnet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\gcnet\gcnet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\gcnet\gcnet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18_480x480_40k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18_480x480_80k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18_512x512_160k_ade20k.py	/^model = dict(decode_head=dict(num_classes=150))$/;"	v
model	.\configs\hrnet\fcn_hr18_512x512_20k_voc12aug.py	/^model = dict(decode_head=dict(num_classes=21))$/;"	v
model	.\configs\hrnet\fcn_hr18_512x512_40k_voc12aug.py	/^model = dict(decode_head=dict(num_classes=21))$/;"	v
model	.\configs\hrnet\fcn_hr18_512x512_80k_ade20k.py	/^model = dict(decode_head=dict(num_classes=150))$/;"	v
model	.\configs\hrnet\fcn_hr18s_480x480_40k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_480x480_80k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_512x1024_160k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_512x1024_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr18s_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_480x480_40k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_480x480_80k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_512x1024_160k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_512x1024_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\hrnet\fcn_hr48_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\fcn_m-v2-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v3\lraspp_m-v3-d8_512x1024_320k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/contrib\/mobilenet_v3_large')$/;"	v
model	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\nonlocal_net\nonlocal_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\nonlocal_net\nonlocal_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\nonlocal_net\nonlocal_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\nonlocal_net\nonlocal_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^model = dict(decode_head=[$/;"	v
model	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^model = dict(decode_head=[$/;"	v
model	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^model = dict(decode_head=[$/;"	v
model	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^model = dict(decode_head=[$/;"	v
model	.\configs\ocrnet\ocrnet_hr18s_512x1024_160k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr18s_512x1024_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr18s_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr18s_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr18s_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr18s_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr18s_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\ocrnet\ocrnet_r101-d8_512x1024_40k_b16_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ocrnet\ocrnet_r101-d8_512x1024_40k_b8_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\ocrnet\ocrnet_r101-d8_512x1024_80k_b16_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\point_rend\pointrend_r101_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\point_rend\pointrend_r101_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^model = dict(decode_head=[$/;"	v
model	.\configs\psanet\psanet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\psanet\psanet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\psanet\psanet_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\psanet\psanet_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\psanet\psanet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\psanet\psanet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\psanet\psanet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r101-d8_480x480_40k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_480x480_80k_pascal_context.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\pspnet\pspnet_r101b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r101b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r18-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r18-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r18b-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r18b-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_480x480_40k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_480x480_80k_pascal_context.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50-d8_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\pspnet\pspnet_r50b-d8_512x1024_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\pspnet\pspnet_r50b-d8_769x769_80k_cityscapes.py	/^model = dict(pretrained='torchvision:\/\/resnet50', backbone=dict(type='ResNet'))$/;"	v
model	.\configs\resnest\deeplabv3_s101-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\resnest\deeplabv3_s101-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\resnest\deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\resnest\deeplabv3plus_s101-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\resnest\fcn_s101-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\resnest\fcn_s101-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\resnest\pspnet_s101-d8_512x1024_80k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\resnest\pspnet_s101-d8_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\sem_fpn\fpn_r101_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\sem_fpn\fpn_r101_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\sem_fpn\fpn_r50_512x512_160k_ade20k.py	/^model = dict(decode_head=dict(num_classes=150))$/;"	v
model	.\configs\unet\deeplabv3_unet_s5-d16_128x128_40k_chase_db1.py	/^model = dict(test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))$/;"	v
model	.\configs\unet\deeplabv3_unet_s5-d16_128x128_40k_stare.py	/^model = dict(test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))$/;"	v
model	.\configs\unet\deeplabv3_unet_s5-d16_256x256_40k_hrf.py	/^model = dict(test_cfg=dict(crop_size=(256, 256), stride=(170, 170)))$/;"	v
model	.\configs\unet\deeplabv3_unet_s5-d16_64x64_40k_drive.py	/^model = dict(test_cfg=dict(crop_size=(64, 64), stride=(42, 42)))$/;"	v
model	.\configs\unet\fcn_unet_s5-d16_128x128_40k_chase_db1.py	/^model = dict(test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))$/;"	v
model	.\configs\unet\fcn_unet_s5-d16_128x128_40k_stare.py	/^model = dict(test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))$/;"	v
model	.\configs\unet\fcn_unet_s5-d16_256x256_40k_hrf.py	/^model = dict(test_cfg=dict(crop_size=(256, 256), stride=(170, 170)))$/;"	v
model	.\configs\unet\fcn_unet_s5-d16_64x64_40k_drive.py	/^model = dict(test_cfg=dict(crop_size=(64, 64), stride=(42, 42)))$/;"	v
model	.\configs\unet\pspnet_unet_s5-d16_128x128_40k_chase_db1.py	/^model = dict(test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))$/;"	v
model	.\configs\unet\pspnet_unet_s5-d16_128x128_40k_stare.py	/^model = dict(test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))$/;"	v
model	.\configs\unet\pspnet_unet_s5-d16_256x256_40k_hrf.py	/^model = dict(test_cfg=dict(crop_size=(256, 256), stride=(170, 170)))$/;"	v
model	.\configs\unet\pspnet_unet_s5-d16_64x64_40k_drive.py	/^model = dict(test_cfg=dict(crop_size=(64, 64), stride=(42, 42)))$/;"	v
model	.\configs\upernet\upernet_r101_512x1024_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r101_512x1024_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r101_512x512_160k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r101_512x512_20k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r101_512x512_40k_voc12aug.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r101_512x512_80k_ade20k.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r101_769x769_40k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r101_769x769_80k_cityscapes.py	/^model = dict(pretrained='open-mmlab:\/\/resnet101_v1c', backbone=dict(depth=101))$/;"	v
model	.\configs\upernet\upernet_r50_512x512_160k_ade20k.py	/^model = dict($/;"	v
model	.\configs\upernet\upernet_r50_512x512_20k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\upernet\upernet_r50_512x512_40k_voc12aug.py	/^model = dict($/;"	v
model	.\configs\upernet\upernet_r50_512x512_80k_ade20k.py	/^model = dict($/;"	v
model	.\configs\upernet\upernet_r50_769x769_40k_cityscapes.py	/^model = dict($/;"	v
model	.\configs\upernet\upernet_r50_769x769_80k_cityscapes.py	/^model = dict($/;"	v
model_name	.\configs\_base_\models\setr_mla.py	/^        model_name='vit_large_patch16_384',$/;"	v
model_name	.\configs\_base_\models\setr_naive_pup.py	/^        model_name='vit_base_patch16_224',$/;"	v
model_name	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        model_name='vit_base_patch16_384',$/;"	v
model_name	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        model_name='vit_base_patch16_224',$/;"	v
model_name	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        model_name='vit_base_patch16_224',$/;"	v
model_name	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        model_name='vit_base_patch16_224',$/;"	v
model_name	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        model_name='vit_large_patch16_224',$/;"	v
model_zoo	.\mmseg\models\backbones\helpers.py	/^import torch.utils.model_zoo as model_zoo$/;"	i
model_zoo	.\mmseg\models\decode_heads\helpers.py	/^import torch.utils.model_zoo as model_zoo$/;"	i
momentum	.\configs\_base_\models\emanet_r50-d8.py	/^        momentum=0.1,$/;"	v
msglist	.\docs\stat.py	/^msglist = '\\n'.join(x for _, _, x in stats)$/;"	v
multi_gpu_test	.\mmseg\apis\__init__.py	/^from .test import multi_gpu_test, single_gpu_test$/;"	i
multi_gpu_test	.\mmseg\apis\test.py	/^def multi_gpu_test(model,$/;"	f
multi_gpu_test	.\mmseg\core\evaluation\eval_hooks.py	/^        from mmseg.apis import multi_gpu_test$/;"	i
multi_gpu_test	.\tests\test_eval_hook.py	/^def multi_gpu_test(model, data_loader, tmpdir=None, gpu_collect=False):$/;"	f
multi_gpu_test	.\tools\test.py	/^from mmseg.apis import multi_gpu_test, single_gpu_test$/;"	i
multi_grid	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        multi_grid=(1, 2, 4)),$/;"	v
multi_grid	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        multi_grid=(1, 2, 4)),$/;"	v
multi_grid	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        multi_grid=(1, 2, 4)),$/;"	v
multi_grid	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        multi_grid=(1, 2, 4)),$/;"	v
neck	.\configs\_base_\models\fpn_r50.py	/^    neck=dict($/;"	v
neck	.\configs\_base_\models\pointrend_r50.py	/^    neck=dict($/;"	v
net	.\tests\test_model.py	/^net=torch.load(pthfile)$/;"	v
nn	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\backbones\cgnet.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\fast_scnn.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\helpers.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\helpers.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\backbones\hrnet.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\layers\drop.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\layers\drop.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\backbones\mobilenet_v2.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\mobilenet_v3.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\pvt.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\pvt.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\backbones\pvt_dia.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\pvt_dia.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\backbones\resnest.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\resnest.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\backbones\resnet.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\unet.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\vit.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\vit.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\backbones\vit_mla.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\backbones\vit_mla.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\builder.py	/^from torch import nn$/;"	i
nn	.\mmseg\models\decode_heads\ann_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\apc_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\apc_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\aspp_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\da_head.py	/^from torch import nn$/;"	i
nn	.\mmseg\models\decode_heads\da_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\decode_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\dm_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\dm_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\dnl_head.py	/^from torch import nn$/;"	i
nn	.\mmseg\models\decode_heads\ema_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\ema_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\enc_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\enc_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\fcn_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\fpn_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\helpers.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\helpers.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\layers\drop.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\layers\drop.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\lraspp_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\ocr_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\ocr_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\point_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\psa_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\psa_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\psp_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\sep_aspp_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\uper_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\vit_mla_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\vit_mla_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\decode_heads\vit_up_head.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\decode_heads\vit_up_head.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\losses\accuracy.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\losses\cross_entropy_loss.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\losses\cross_entropy_loss.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\losses\lovasz_loss.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\losses\lovasz_loss.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\losses\utils.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\necks\fpn.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\necks\fpn.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\segmentors\base.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^from torch import nn$/;"	i
nn	.\mmseg\models\segmentors\encoder_decoder.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\segmentors\encoder_decoder.py	/^import torch.nn.functional as F$/;"	i
nn	.\mmseg\models\utils\inverted_residual.py	/^from torch import nn as nn$/;"	i
nn	.\mmseg\models\utils\res_layer.py	/^from torch import nn as nn$/;"	i
nn	.\mmseg\models\utils\se_layer.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\models\utils\self_attention_block.py	/^from torch import nn as nn$/;"	i
nn	.\mmseg\models\utils\up_conv_block.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\ops\encoding.py	/^from torch import nn as nn$/;"	i
nn	.\mmseg\ops\wrappers.py	/^import torch.nn as nn$/;"	i
nn	.\mmseg\ops\wrappers.py	/^import torch.nn.functional as F$/;"	i
nn	.\tests\test_config.py	/^from torch import nn$/;"	i
nn	.\tests\test_eval_hook.py	/^import torch.nn as nn$/;"	i
nn	.\tests\test_models\test_forward.py	/^import torch.nn as nn$/;"	i
nn	.\tests\test_models\test_segmentor.py	/^from torch import nn$/;"	i
nn	.\tests\test_models\test_unet.py	/^from torch import nn$/;"	i
nn	.\tools\pytorch2onnx.py	/^from torch import nn$/;"	i
no_weight_decay	.\mmseg\models\backbones\vit.py	/^    def no_weight_decay(self):$/;"	m	class:VisionTransformer
no_weight_decay	.\mmseg\models\backbones\vit_mla.py	/^    def no_weight_decay(self):$/;"	m	class:VIT_MLA
noqa	.\mmseg\core\__init__.py	/^from .evaluation import *  # noqa: F401, F403$/;"	i
noqa	.\mmseg\core\__init__.py	/^from .seg import *  # noqa: F401, F403$/;"	i
noqa	.\mmseg\core\__init__.py	/^from .utils import *  # noqa: F401, F403$/;"	i
noqa	.\mmseg\datasets\cityscapes.py	/^            import cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling as CSEval  # noqa$/;"	i
noqa	.\mmseg\models\__init__.py	/^from .backbones import *  # noqa: F401,F403$/;"	i
noqa	.\mmseg\models\__init__.py	/^from .decode_heads import *  # noqa: F401,F403$/;"	i
noqa	.\mmseg\models\__init__.py	/^from .losses import *  # noqa: F401,F403$/;"	i
noqa	.\mmseg\models\__init__.py	/^from .necks import *  # noqa: F401,F403$/;"	i
noqa	.\mmseg\models\__init__.py	/^from .segmentors import *  # noqa: F401,F403$/;"	i
noqa	.\mmseg\models\backbones\helpers.py	/^from urllib.parse import urlparse  # noqa: F401$/;"	i
norm0	.\mmseg\models\backbones\resnest.py	/^    def norm0(self):$/;"	m	class:SplitAttentionConv2d
norm1	.\mmseg\models\backbones\hrnet.py	/^    def norm1(self):$/;"	m	class:HRNet
norm1	.\mmseg\models\backbones\resnest.py	/^    def norm1(self):$/;"	m	class:SplitAttentionConv2d
norm1	.\mmseg\models\backbones\resnet.py	/^    def norm1(self):$/;"	m	class:BasicBlock
norm1	.\mmseg\models\backbones\resnet.py	/^    def norm1(self):$/;"	m	class:Bottleneck
norm1	.\mmseg\models\backbones\resnet.py	/^    def norm1(self):$/;"	m	class:ResNet
norm2	.\mmseg\models\backbones\hrnet.py	/^    def norm2(self):$/;"	m	class:HRNet
norm2	.\mmseg\models\backbones\resnet.py	/^    def norm2(self):$/;"	m	class:BasicBlock
norm2	.\mmseg\models\backbones\resnet.py	/^    def norm2(self):$/;"	m	class:Bottleneck
norm3	.\mmseg\models\backbones\resnet.py	/^    def norm3(self):$/;"	m	class:Bottleneck
norm_cdf	.\mmseg\models\backbones\layers\weight_init.py	/^    def norm_cdf(x):$/;"	f	function:_no_grad_trunc_normal_
norm_cdf	.\mmseg\models\decode_heads\layers\weight_init.py	/^    def norm_cdf(x):$/;"	f	function:_no_grad_trunc_normal_
norm_cfg	.\configs\_base_\models\ann_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\ann_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\apcnet_r50-d8.py	/^        norm_cfg=dict(type='SyncBN', requires_grad=True),$/;"	v
norm_cfg	.\configs\_base_\models\apcnet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\apcnet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\ccnet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\ccnet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\cgnet.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\cgnet.py	/^norm_cfg = dict(type='SyncBN', eps=1e-03, requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\danet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\danet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\deeplabv3_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\dmnet_r50-d8.py	/^        norm_cfg=dict(type='SyncBN', requires_grad=True),$/;"	v
norm_cfg	.\configs\_base_\models\dmnet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\dmnet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\dnl_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\dnl_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\emanet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\emanet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\encnet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\encnet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\fast_scnn.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\fast_scnn.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\fast_scnn.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True, momentum=0.01)$/;"	v
norm_cfg	.\configs\_base_\models\fcn_hr18.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\fcn_hr18.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\fcn_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\fcn_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\fcn_unet_s5-d16.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\fpn_r50.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\fpn_r50.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\gcnet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\gcnet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        norm_cfg=norm_cfg),$/;"	v
norm_cfg	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\lraspp_m-v3-d8.py	/^norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\nonlocal_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\nonlocal_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\ocrnet_hr18.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\ocrnet_hr18.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\ocrnet_hr18.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\ocrnet_r50-d8.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\ocrnet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\ocrnet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\pointrend_r50.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\pointrend_r50.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\pointrend_r50.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\psanet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\psanet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\pspnet_r50-d8.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\pspnet_r50-d8.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\setr_mla.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\setr_mla.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\setr_naive_pup.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\setr_naive_pup.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\_base_\models\upernet_r50.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\_base_\models\upernet_r50.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        norm_cfg=norm_cfg),$/;"	v
norm_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)$/;"	v
norm_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        norm_cfg=norm_cfg),$/;"	v
norm_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_cfg	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        norm_cfg=norm_cfg,$/;"	v
norm_cfg	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^norm_cfg = dict(type='SyncBN', requires_grad=True)$/;"	v
norm_eval	.\configs\_base_\models\ann_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\apcnet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\ccnet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\danet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        norm_eval=False),$/;"	v
norm_eval	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\dmnet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\dnl_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\emanet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\encnet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\fcn_hr18.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\fcn_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        norm_eval=False),$/;"	v
norm_eval	.\configs\_base_\models\fpn_r50.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\gcnet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\nonlocal_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\ocrnet_hr18.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\ocrnet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\pointrend_r50.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\psanet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\pspnet_r50-d8.py	/^        norm_eval=False,$/;"	v
norm_eval	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        norm_eval=False),$/;"	v
norm_eval	.\configs\_base_\models\upernet_r50.py	/^        norm_eval=False,$/;"	v
normal_init	.\mmseg\models\decode_heads\decode_head.py	/^from mmcv.cnn import normal_init$/;"	i
normal_init	.\mmseg\models\decode_heads\point_head.py	/^from mmcv.cnn import ConvModule, normal_init$/;"	i
normalization_factor	.\configs\_base_\models\psanet_r50-d8.py	/^        normalization_factor=1.0,$/;"	v
np	.\docs\stat.py	/^import numpy as np$/;"	i
np	.\mmseg\apis\test.py	/^import numpy as np$/;"	i
np	.\mmseg\apis\train.py	/^import numpy as np$/;"	i
np	.\mmseg\core\evaluation\metrics.py	/^import numpy as np$/;"	i
np	.\mmseg\datasets\builder.py	/^import numpy as np$/;"	i
np	.\mmseg\datasets\cityscapes.py	/^import numpy as np$/;"	i
np	.\mmseg\datasets\custom.py	/^import numpy as np$/;"	i
np	.\mmseg\datasets\pipelines\formating.py	/^import numpy as np$/;"	i
np	.\mmseg\datasets\pipelines\loading.py	/^import numpy as np$/;"	i
np	.\mmseg\datasets\pipelines\transforms.py	/^import numpy as np$/;"	i
np	.\mmseg\models\decode_heads\fpn_head.py	/^import numpy as np$/;"	i
np	.\mmseg\models\segmentors\base.py	/^import numpy as np$/;"	i
np	.\tests\test_config.py	/^    import numpy as np$/;"	i
np	.\tests\test_data\test_dataset.py	/^import numpy as np$/;"	i
np	.\tests\test_data\test_loading.py	/^import numpy as np$/;"	i
np	.\tests\test_data\test_transform.py	/^import numpy as np$/;"	i
np	.\tests\test_metrics.py	/^import numpy as np$/;"	i
np	.\tests\test_models\test_forward.py	/^import numpy as np$/;"	i
np	.\tests\test_models\test_losses.py	/^import numpy as np$/;"	i
np	.\tests\test_models\test_segmentor.py	/^import numpy as np$/;"	i
np	.\tools\convert_datasets\pascal_context.py	/^import numpy as np$/;"	i
np	.\tools\convert_datasets\voc_aug.py	/^import numpy as np$/;"	i
np	.\tools\pytorch2onnx.py	/^import numpy as np$/;"	i
np2tmp	.\mmseg\apis\test.py	/^def np2tmp(array, temp_file_name=None):$/;"	f
num_bases	.\configs\_base_\models\emanet_r50-d8.py	/^        num_bases=64,$/;"	v
num_blocks	.\configs\_base_\models\cgnet.py	/^        num_blocks=(3, 21),$/;"	v
num_blocks	.\configs\_base_\models\fcn_hr18.py	/^                num_blocks=(4, ),$/;"	v
num_blocks	.\configs\_base_\models\fcn_hr18.py	/^                num_blocks=(4, 4),$/;"	v
num_blocks	.\configs\_base_\models\fcn_hr18.py	/^                num_blocks=(4, 4, 4),$/;"	v
num_blocks	.\configs\_base_\models\fcn_hr18.py	/^                num_blocks=(4, 4, 4, 4),$/;"	v
num_blocks	.\configs\_base_\models\ocrnet_hr18.py	/^                num_blocks=(4, ),$/;"	v
num_blocks	.\configs\_base_\models\ocrnet_hr18.py	/^                num_blocks=(4, 4),$/;"	v
num_blocks	.\configs\_base_\models\ocrnet_hr18.py	/^                num_blocks=(4, 4, 4),$/;"	v
num_blocks	.\configs\_base_\models\ocrnet_hr18.py	/^                num_blocks=(4, 4, 4, 4),$/;"	v
num_branches	.\configs\_base_\models\fcn_hr18.py	/^                num_branches=1,$/;"	v
num_branches	.\configs\_base_\models\fcn_hr18.py	/^                num_branches=2,$/;"	v
num_branches	.\configs\_base_\models\fcn_hr18.py	/^                num_branches=3,$/;"	v
num_branches	.\configs\_base_\models\fcn_hr18.py	/^                num_branches=4,$/;"	v
num_branches	.\configs\_base_\models\ocrnet_hr18.py	/^                num_branches=1,$/;"	v
num_branches	.\configs\_base_\models\ocrnet_hr18.py	/^                num_branches=2,$/;"	v
num_branches	.\configs\_base_\models\ocrnet_hr18.py	/^                num_branches=3,$/;"	v
num_branches	.\configs\_base_\models\ocrnet_hr18.py	/^                num_branches=4,$/;"	v
num_channels	.\configs\_base_\models\cgnet.py	/^        num_channels=(32, 64, 128),$/;"	v
num_channels	.\configs\_base_\models\fcn_hr18.py	/^                num_channels=(18, 36)),$/;"	v
num_channels	.\configs\_base_\models\fcn_hr18.py	/^                num_channels=(18, 36, 72)),$/;"	v
num_channels	.\configs\_base_\models\fcn_hr18.py	/^                num_channels=(18, 36, 72, 144)))),$/;"	v
num_channels	.\configs\_base_\models\fcn_hr18.py	/^                num_channels=(64, )),$/;"	v
num_channels	.\configs\_base_\models\ocrnet_hr18.py	/^                num_channels=(18, 36)),$/;"	v
num_channels	.\configs\_base_\models\ocrnet_hr18.py	/^                num_channels=(18, 36, 72)),$/;"	v
num_channels	.\configs\_base_\models\ocrnet_hr18.py	/^                num_channels=(18, 36, 72, 144)))),$/;"	v
num_channels	.\configs\_base_\models\ocrnet_hr18.py	/^                num_channels=(64, )),$/;"	v
num_ckpts	.\docs\stat.py	/^num_ckpts = 0$/;"	v
num_classes	.\configs\_base_\models\ann_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\apcnet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\ccnet_r50-d8.py	/^        num_classes=104,$/;"	v
num_classes	.\configs\_base_\models\cgnet.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\danet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        num_classes=2,$/;"	v
num_classes	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\dmnet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\dnl_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\emanet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\encnet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\fast_scnn.py	/^            num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\fast_scnn.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\fcn_hr18.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\fcn_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        num_classes=2,$/;"	v
num_classes	.\configs\_base_\models\fpn_r50.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\gcnet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\nonlocal_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\ocrnet_hr18.py	/^            num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\ocrnet_r50-d8.py	/^            num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\pointrend_r50.py	/^            num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\psanet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\pspnet_r50-d8.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        num_classes=2,$/;"	v
num_classes	.\configs\_base_\models\setr_mla.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\setr_naive_pup.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\_base_\models\upernet_r50.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        num_classes=104,$/;"	v
num_classes	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        num_classes=104,$/;"	v
num_classes	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        num_classes=104,$/;"	v
num_classes	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^        num_classes=104,$/;"	v
num_classes	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            num_classes=104,$/;"	v
num_classes	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        num_classes=104,$/;"	v
num_classes	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        num_classes=104,$/;"	v
num_classes	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        num_classes=19,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        num_classes=150,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        num_classes=21,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        num_classes=21,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        num_classes=150,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            num_classes=19,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            num_classes=19,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            num_classes=19,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            num_classes=150,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            num_classes=21,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            num_classes=21,$/;"	v
num_classes	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            num_classes=150,$/;"	v
num_classes	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        num_classes=150,$/;"	v
num_codes	.\configs\_base_\models\encnet_r50-d8.py	/^        num_codes=32,$/;"	v
num_conv	.\configs\_base_\models\setr_naive_pup.py	/^        num_conv=2,$/;"	v
num_conv	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            num_conv=2,$/;"	v
num_conv	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        num_conv=2, $/;"	v
num_convs	.\configs\_base_\models\ann_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\apcnet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\ccnet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\cgnet.py	/^        num_convs=0,$/;"	v
num_convs	.\configs\_base_\models\danet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\dmnet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\dnl_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\emanet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\encnet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\fast_scnn.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\fcn_hr18.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\fcn_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\fcn_r50-d8.py	/^        num_convs=2,$/;"	v
num_convs	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\gcnet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\nonlocal_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\ocrnet_hr18.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\ocrnet_r50-d8.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\psanet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\pspnet_r50-d8.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\_base_\models\upernet_r50.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            num_convs=1,$/;"	v
num_convs	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            num_convs=1,$/;"	v
num_fcs	.\configs\_base_\models\pointrend_r50.py	/^            num_fcs=3,$/;"	v
num_fcs	.\configs\point_rend\pointrend_r50_512x512_160k_ade20k.py	/^        num_fcs=3,$/;"	v
num_heads	.\configs\_base_\models\setr_mla.py	/^        num_heads=16, $/;"	v
num_heads	.\configs\_base_\models\setr_naive_pup.py	/^        num_heads=16,$/;"	v
num_heads	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        num_heads=12,$/;"	v
num_heads	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^        num_heads=12,$/;"	v
num_heads	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        num_heads=12,$/;"	v
num_heads	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        num_heads=12,$/;"	v
num_heads	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        num_heads=12, $/;"	v
num_modules	.\configs\_base_\models\fcn_hr18.py	/^                num_modules=1,$/;"	v
num_modules	.\configs\_base_\models\fcn_hr18.py	/^                num_modules=3,$/;"	v
num_modules	.\configs\_base_\models\fcn_hr18.py	/^                num_modules=4,$/;"	v
num_modules	.\configs\_base_\models\ocrnet_hr18.py	/^                num_modules=1,$/;"	v
num_modules	.\configs\_base_\models\ocrnet_hr18.py	/^                num_modules=3,$/;"	v
num_modules	.\configs\_base_\models\ocrnet_hr18.py	/^                num_modules=4,$/;"	v
num_outs	.\configs\_base_\models\fpn_r50.py	/^        num_outs=4),$/;"	v
num_outs	.\configs\_base_\models\pointrend_r50.py	/^        num_outs=4),$/;"	v
num_stages	.\configs\_base_\models\ann_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\apcnet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\ccnet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\danet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        num_stages=5,$/;"	v
num_stages	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\dmnet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\dnl_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\emanet_r50-d8.py	/^        num_stages=3,$/;"	v
num_stages	.\configs\_base_\models\emanet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\encnet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\fcn_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        num_stages=5,$/;"	v
num_stages	.\configs\_base_\models\fpn_r50.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\gcnet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\nonlocal_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\ocrnet_hr18.py	/^    num_stages=2,$/;"	v
num_stages	.\configs\_base_\models\ocrnet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\ocrnet_r50-d8.py	/^    num_stages=2,$/;"	v
num_stages	.\configs\_base_\models\pointrend_r50.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\pointrend_r50.py	/^    num_stages=2,$/;"	v
num_stages	.\configs\_base_\models\psanet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\pspnet_r50-d8.py	/^        num_stages=4,$/;"	v
num_stages	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        num_stages=5,$/;"	v
num_stages	.\configs\_base_\models\upernet_r50.py	/^        num_stages=4,$/;"	v
obj_from_dict	.\tests\test_eval_hook.py	/^from mmcv.runner import obj_from_dict$/;"	i
ocr_channels	.\configs\_base_\models\ocrnet_hr18.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\_base_\models\ocrnet_r50-d8.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr18_512x512_160k_ade20k.py	/^        ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr18_512x512_20k_voc12aug.py	/^        ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr18_512x512_40k_voc12aug.py	/^        ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr18_512x512_80k_ade20k.py	/^        ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^            ocr_channels=256,$/;"	v
ocr_channels	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^            ocr_channels=256,$/;"	v
onnx	.\tools\pytorch2onnx.py	/^        import onnx$/;"	i
opset_version	.\tools\pytorch2onnx.py	/^        opset_version=args.opset_version,$/;"	v
optimizer	.\configs\_base_\schedules\schedule_160k.py	/^optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)$/;"	v
optimizer	.\configs\_base_\schedules\schedule_20k.py	/^optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)$/;"	v
optimizer	.\configs\_base_\schedules\schedule_40k.py	/^optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)$/;"	v
optimizer	.\configs\_base_\schedules\schedule_80k.py	/^optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)$/;"	v
optimizer	.\configs\_base_\schedules\schedule_80k_step.py	/^optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)$/;"	v
optimizer	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^optimizer = dict(type='Adam', lr=0.001, eps=1e-08, weight_decay=0.0005)$/;"	v
optimizer	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^optimizer = dict(type='Adam', lr=0.001, eps=1e-08, weight_decay=0.0005)$/;"	v
optimizer	.\configs\deeplabv3\deeplabv3_r50-d8_480x480_40k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\deeplabv3\deeplabv3_r50-d8_480x480_80k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_480x480_40k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_480x480_80k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\dnlnet\dnl_r50-d8_769x769_80k_cityscapes.py	/^optimizer = dict($/;"	v
optimizer	.\configs\fastscnn\fast_scnn_4x8_80k_lr0.12_cityscapes.py	/^optimizer = dict(type='SGD', lr=0.12, momentum=0.9, weight_decay=4e-5)$/;"	v
optimizer	.\configs\fcn\fcn_r50-d8_480x480_40k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\fcn\fcn_r50-d8_480x480_80k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^optimizer = dict(lr=0.002, weight_decay=0.0,$/;"	v
optimizer	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^optimizer = dict(lr=0.002, weight_decay=0.0,$/;"	v
optimizer	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^optimizer = dict(lr=0.002, weight_decay=0.0,$/;"	v
optimizer	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^optimizer = dict(lr=0.002, weight_decay=0.0,$/;"	v
optimizer	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^optimizer = dict(lr=0.01, weight_decay=0.0, paramwise_cfg=dict(custom_keys={'head': dict(lr_mult=10.)}))$/;"	v
optimizer	.\configs\hrnet\fcn_hr18_480x480_40k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\hrnet\fcn_hr18_480x480_80k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\ocrnet\ocrnet_r101-d8_512x1024_40k_b16_cityscapes.py	/^optimizer = dict(lr=0.02)$/;"	v
optimizer	.\configs\ocrnet\ocrnet_r101-d8_512x1024_80k_b16_cityscapes.py	/^optimizer = dict(lr=0.02)$/;"	v
optimizer	.\configs\pspnet\pspnet_r50-d8_480x480_40k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer	.\configs\pspnet\pspnet_r50-d8_480x480_80k_pascal_context.py	/^optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)$/;"	v
optimizer_config	.\configs\_base_\schedules\schedule_160k.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\_base_\schedules\schedule_20k.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\_base_\schedules\schedule_40k.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\_base_\schedules\schedule_80k.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\_base_\schedules\schedule_80k_step.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\foodnet\fpn_r50_512x1024_80k.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\foodnet\fpn_r50_512x1024_80k_RM.py	/^optimizer_config = dict()$/;"	v
optimizer_config	.\configs\fp16\deeplabv3_r101-d8_512x1024_80k_fp16_cityscapes.py	/^optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.)$/;"	v
optimizer_config	.\configs\fp16\deeplabv3plus_r101-d8_512x1024_80k_fp16_cityscapes.py	/^optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.)$/;"	v
optimizer_config	.\configs\fp16\fcn_r101-d8_512x1024_80k_fp16_cityscapes.py	/^optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.)$/;"	v
optimizer_config	.\configs\fp16\pspnet_r101-d8_512x1024_80k_fp16_cityscapes.py	/^optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.)$/;"	v
os	.\.dev\gather_models.py	/^import os$/;"	i
os	.\.dev\gather_models.py	/^import os.path as osp$/;"	i
os	.\.dev\upload_modelzoo.py	/^import os$/;"	i
os	.\.dev\upload_modelzoo.py	/^import os.path as osp$/;"	i
os	.\docs\conf.py	/^import os$/;"	i
os	.\docs\stat.py	/^import os.path as osp$/;"	i
os	.\mmseg\apis\test.py	/^import os.path as osp$/;"	i
os	.\mmseg\core\evaluation\eval_hooks.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\chase_db1.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\cityscapes.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\custom.py	/^import os$/;"	i
os	.\mmseg\datasets\custom.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\drive.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\hrf.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\pascal_context.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\pipelines\loading.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\stare.py	/^import os.path as osp$/;"	i
os	.\mmseg\datasets\voc.py	/^import os.path as osp$/;"	i
os	.\mmseg\models\backbones\helpers.py	/^import os$/;"	i
os	.\tests\test_config.py	/^import os$/;"	i
os	.\tests\test_data\test_dataset.py	/^import os.path as osp$/;"	i
os	.\tests\test_data\test_dataset_builder.py	/^import os.path as osp$/;"	i
os	.\tests\test_data\test_loading.py	/^import os.path as osp$/;"	i
os	.\tests\test_data\test_transform.py	/^import os.path as osp$/;"	i
os	.\tests\test_data\test_tta.py	/^import os.path as osp$/;"	i
os	.\tests\test_inference.py	/^import os.path as osp$/;"	i
os	.\tools\convert_datasets\chase_db1.py	/^import os$/;"	i
os	.\tools\convert_datasets\chase_db1.py	/^import os.path as osp$/;"	i
os	.\tools\convert_datasets\cityscapes.py	/^import os.path as osp$/;"	i
os	.\tools\convert_datasets\drive.py	/^import os$/;"	i
os	.\tools\convert_datasets\drive.py	/^import os.path as osp$/;"	i
os	.\tools\convert_datasets\hrf.py	/^import os$/;"	i
os	.\tools\convert_datasets\hrf.py	/^import os.path as osp$/;"	i
os	.\tools\convert_datasets\pascal_context.py	/^import os.path as osp$/;"	i
os	.\tools\convert_datasets\stare.py	/^import os$/;"	i
os	.\tools\convert_datasets\stare.py	/^import os.path as osp$/;"	i
os	.\tools\convert_datasets\voc_aug.py	/^import os.path as osp$/;"	i
os	.\tools\test.py	/^import os$/;"	i
os	.\tools\train.py	/^import os$/;"	i
os	.\tools\train.py	/^import os.path as osp$/;"	i
osp	.\.dev\gather_models.py	/^import os.path as osp$/;"	i
osp	.\.dev\upload_modelzoo.py	/^import os.path as osp$/;"	i
osp	.\docs\stat.py	/^import os.path as osp$/;"	i
osp	.\mmseg\apis\test.py	/^import os.path as osp$/;"	i
osp	.\mmseg\core\evaluation\eval_hooks.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\chase_db1.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\cityscapes.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\custom.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\drive.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\hrf.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\pascal_context.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\pipelines\loading.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\stare.py	/^import os.path as osp$/;"	i
osp	.\mmseg\datasets\voc.py	/^import os.path as osp$/;"	i
osp	.\tests\test_data\test_dataset.py	/^import os.path as osp$/;"	i
osp	.\tests\test_data\test_dataset_builder.py	/^import os.path as osp$/;"	i
osp	.\tests\test_data\test_loading.py	/^import os.path as osp$/;"	i
osp	.\tests\test_data\test_transform.py	/^import os.path as osp$/;"	i
osp	.\tests\test_data\test_tta.py	/^import os.path as osp$/;"	i
osp	.\tests\test_inference.py	/^import os.path as osp$/;"	i
osp	.\tools\convert_datasets\chase_db1.py	/^import os.path as osp$/;"	i
osp	.\tools\convert_datasets\cityscapes.py	/^import os.path as osp$/;"	i
osp	.\tools\convert_datasets\drive.py	/^import os.path as osp$/;"	i
osp	.\tools\convert_datasets\hrf.py	/^import os.path as osp$/;"	i
osp	.\tools\convert_datasets\pascal_context.py	/^import os.path as osp$/;"	i
osp	.\tools\convert_datasets\stare.py	/^import os.path as osp$/;"	i
osp	.\tools\convert_datasets\voc_aug.py	/^import os.path as osp$/;"	i
osp	.\tools\train.py	/^import os.path as osp$/;"	i
oss2	.\.dev\upload_modelzoo.py	/^import oss2$/;"	i
out_channels	.\configs\_base_\models\fpn_r50.py	/^        out_channels=256,$/;"	v
out_channels	.\configs\_base_\models\pointrend_r50.py	/^        out_channels=256,$/;"	v
out_indices	.\configs\_base_\models\ann_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\apcnet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\ccnet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\danet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\dmnet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\dnl_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\emanet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\encnet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\fast_scnn.py	/^        out_indices=(0, 1, 2),$/;"	v
out_indices	.\configs\_base_\models\fcn_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\fpn_r50.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\gcnet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\lraspp_m-v3-d8.py	/^        out_indices=(1, 3, 16),$/;"	v
out_indices	.\configs\_base_\models\nonlocal_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\ocrnet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\pointrend_r50.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\psanet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\pspnet_r50-d8.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\_base_\models\upernet_r50.py	/^        out_indices=(0, 1, 2, 3),$/;"	v
out_indices	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x512_160k_ade20k.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v2\fcn_m-v2-d8_512x512_160k_ade20k.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x1024_80k_cityscapes.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x512_160k_ade20k.py	/^        out_indices=(1, 2, 4, 6)),$/;"	v
out_indices	.\configs\mobilenet_v3\lraspp_m-v3s-d8_512x1024_320k_cityscapes.py	/^        out_indices=(0, 1, 12),$/;"	v
out_indices	.\configs\mobilenet_v3\lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py	/^        out_indices=(0, 1, 12),$/;"	v
output_file	.\tools\pytorch2onnx.py	/^        output_file=args.output_file,$/;"	v
pam_channels	.\configs\_base_\models\danet_r50-d8.py	/^        pam_channels=64,$/;"	v
pam_cls_seg	.\mmseg\models\decode_heads\da_head.py	/^    def pam_cls_seg(self, feat):$/;"	m	class:DAHead
paper	.\docs\stat.py	/^    paper = set([(papertype, title)])$/;"	v
papertype	.\docs\stat.py	/^    papertype = _papertype[0]$/;"	v
paramwise_cfg	.\configs\dnlnet\dnl_r50-d8_769x769_80k_cityscapes.py	/^    paramwise_cfg=dict($/;"	v
paramwise_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^paramwise_cfg = dict(custom_keys={'head': dict(lr_mult=10.)})$/;"	v
paramwise_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^paramwise_cfg = dict(custom_keys={'head': dict(lr_mult=10.)})$/;"	v
paramwise_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^paramwise_cfg = dict(custom_keys={'head': dict(lr_mult=10.)})$/;"	v
paramwise_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^paramwise_cfg = dict(custom_keys={'head': dict(lr_mult=10.)})$/;"	v
parse	.\mmseg\models\backbones\layers\helpers.py	/^    def parse(x):$/;"	f	function:_ntuple
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parse_args	.\.dev\upload_modelzoo.py	/^def parse_args():$/;"	f
parse_args	.\tools\benchmark.py	/^def parse_args():$/;"	f
parse_args	.\tools\convert_datasets\chase_db1.py	/^def parse_args():$/;"	f
parse_args	.\tools\convert_datasets\cityscapes.py	/^def parse_args():$/;"	f
parse_args	.\tools\convert_datasets\drive.py	/^def parse_args():$/;"	f
parse_args	.\tools\convert_datasets\hrf.py	/^def parse_args():$/;"	f
parse_args	.\tools\convert_datasets\pascal_context.py	/^def parse_args():$/;"	f
parse_args	.\tools\convert_datasets\stare.py	/^def parse_args():$/;"	f
parse_args	.\tools\convert_datasets\voc_aug.py	/^def parse_args():$/;"	f
parse_args	.\tools\get_flops.py	/^def parse_args():$/;"	f
parse_args	.\tools\print_config.py	/^def parse_args():$/;"	f
parse_args	.\tools\publish_model.py	/^def parse_args():$/;"	f
parse_args	.\tools\pytorch2onnx.py	/^def parse_args():$/;"	f
parse_args	.\tools\test.py	/^def parse_args():$/;"	f
parse_args	.\tools\train.py	/^def parse_args():$/;"	f
parse_line	.\setup.py	/^    def parse_line(line):$/;"	f	function:parse_requirements
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parse_version_info	.\mmseg\version.py	/^def parse_version_info(version_str):$/;"	f
partial	.\mmseg\datasets\builder.py	/^from functools import partial$/;"	i
partial	.\mmseg\models\backbones\pvt.py	/^from functools import partial$/;"	i
partial	.\mmseg\models\backbones\pvt_dia.py	/^from functools import partial$/;"	i
partial	.\mmseg\models\backbones\vit.py	/^from functools import partial$/;"	i
partial	.\mmseg\models\backbones\vit_mla.py	/^from functools import partial$/;"	i
partial	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from functools import partial$/;"	i
partial	.\mmseg\models\decode_heads\vit_mla_head.py	/^from functools import partial$/;"	i
partial	.\mmseg\models\decode_heads\vit_up_head.py	/^from functools import partial$/;"	i
partial	.\tools\convert_datasets\pascal_context.py	/^from functools import partial$/;"	i
partial	.\tools\convert_datasets\voc_aug.py	/^from functools import partial$/;"	i
partial	.\tools\pytorch2onnx.py	/^from functools import partial$/;"	i
patch	.\tests\test_data\test_dataset.py	/^from unittest.mock import MagicMock, patch$/;"	i
patch	.\tests\test_eval_hook.py	/^from unittest.mock import MagicMock, patch$/;"	i
patch	.\tests\test_models\test_forward.py	/^from unittest.mock import patch$/;"	i
patch	.\tests\test_models\test_heads.py	/^from unittest.mock import patch$/;"	i
patch_size	.\configs\_base_\models\setr_mla.py	/^        patch_size=16, $/;"	v
patch_size	.\configs\_base_\models\setr_naive_pup.py	/^        patch_size=16,$/;"	v
patch_size	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        patch_size=16, $/;"	v
pickle	.\mmseg\apis\test.py	/^import pickle$/;"	i
pipeline	.\configs\_base_\datasets\FoodSeg103.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\FoodSeg103.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\FoodSeg103.py	/^        pipeline=train_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\ade20k.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\ade20k.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\ade20k.py	/^        pipeline=train_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\chase_db1.py	/^            pipeline=train_pipeline)),$/;"	v
pipeline	.\configs\_base_\datasets\chase_db1.py	/^        pipeline=test_pipeline))$/;"	v
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pipeline	.\configs\_base_\datasets\cityscapes.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\cityscapes.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\cityscapes.py	/^        pipeline=train_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\drive.py	/^            pipeline=train_pipeline)),$/;"	v
pipeline	.\configs\_base_\datasets\drive.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\drive.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\hrf.py	/^            pipeline=train_pipeline)),$/;"	v
pipeline	.\configs\_base_\datasets\hrf.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\hrf.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\pascal_context.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\pascal_context.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\pascal_context.py	/^        pipeline=train_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\pascal_voc12.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\pascal_voc12.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\pascal_voc12.py	/^        pipeline=train_pipeline),$/;"	v
pipeline	.\configs\_base_\datasets\stare.py	/^            pipeline=train_pipeline)),$/;"	v
pipeline	.\configs\_base_\datasets\stare.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\_base_\datasets\stare.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        pipeline=test_pipeline))$/;"	v
pipeline	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        pipeline=test_pipeline),$/;"	v
pipeline	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        pipeline=train_pipeline),$/;"	v
platform	.\mmseg\datasets\builder.py	/^import platform$/;"	i
plt	.\mmseg\apis\inference.py	/^import matplotlib.pyplot as plt$/;"	i
point_sample	.\mmseg\models\decode_heads\point_head.py	/^from mmcv.ops import point_sample$/;"	i
policy	.\configs\_base_\schedules\schedule_80k_step.py	/^    policy='step',$/;"	v
pool_scales	.\configs\_base_\models\apcnet_r50-d8.py	/^        pool_scales=(1, 2, 3, 6),$/;"	v
pool_scales	.\configs\_base_\models\pspnet_r50-d8.py	/^        pool_scales=(1, 2, 3, 6),$/;"	v
pool_scales	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        pool_scales=(1, 2, 3, 6),$/;"	v
pool_scales	.\configs\_base_\models\upernet_r50.py	/^        pool_scales=(1, 2, 3, 6),$/;"	v
pooling_type	.\configs\_base_\models\gcnet_r50-d8.py	/^        pooling_type='att',$/;"	v
pos_embed_interp	.\configs\_base_\models\setr_mla.py	/^        pos_embed_interp=True,$/;"	v
pos_embed_interp	.\configs\_base_\models\setr_naive_pup.py	/^        pos_embed_interp=True,$/;"	v
pos_embed_interp	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^        pos_embed_interp=True, $/;"	v
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pos_embed_interp	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^        pos_embed_interp=True, $/;"	v
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pos_embed_interp	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^        pos_embed_interp=True, $/;"	v
pos_embed_interp	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^        pos_embed_interp=True,$/;"	v
pre_pipeline	.\mmseg\datasets\custom.py	/^    def pre_pipeline(self, results):$/;"	m	class:CustomDataset
prepare_test_img	.\mmseg\datasets\custom.py	/^    def prepare_test_img(self, idx):$/;"	m	class:CustomDataset
prepare_train_img	.\mmseg\datasets\custom.py	/^    def prepare_train_img(self, idx):$/;"	m	class:CustomDataset
pretrained	.\configs\_base_\models\ann_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\apcnet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\ccnet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\danet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\deeplabv3_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^    pretrained=None,$/;"	v
pretrained	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\dmnet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\dnl_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\emanet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\encnet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\fcn_hr18.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w18',$/;"	v
pretrained	.\configs\_base_\models\fcn_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\fcn_unet_s5-d16.py	/^    pretrained=None,$/;"	v
pretrained	.\configs\_base_\models\fpn_r50.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\gcnet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\nonlocal_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\ocrnet_hr18.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w18',$/;"	v
pretrained	.\configs\_base_\models\ocrnet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\pointrend_r50.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\psanet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\pspnet_r50-d8.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^    pretrained=None,$/;"	v
pretrained	.\configs\_base_\models\upernet_r50.py	/^    pretrained='open-mmlab:\/\/resnet50_v1c',$/;"	v
pretrained	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^    pretrained='open-mmlab:\/\/resnet101_v1c',$/;"	v
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pretrained	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^    pretrained='mmcls:\/\/mobilenet_v2',$/;"	v
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pretrained	.\configs\ocrnet\ocrnet_hr48_512x1024_160k_cityscapes.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w48',$/;"	v
pretrained	.\configs\ocrnet\ocrnet_hr48_512x1024_40k_cityscapes.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w48',$/;"	v
pretrained	.\configs\ocrnet\ocrnet_hr48_512x1024_80k_cityscapes.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w48',$/;"	v
pretrained	.\configs\ocrnet\ocrnet_hr48_512x512_160k_ade20k.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w48',$/;"	v
pretrained	.\configs\ocrnet\ocrnet_hr48_512x512_20k_voc12aug.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w48',$/;"	v
pretrained	.\configs\ocrnet\ocrnet_hr48_512x512_40k_voc12aug.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w48',$/;"	v
pretrained	.\configs\ocrnet\ocrnet_hr48_512x512_80k_ade20k.py	/^    pretrained='open-mmlab:\/\/msra\/hrnetv2_w48',$/;"	v
pretrained	.\configs\pspnet\pspnet_r101b-d8_512x1024_80k_cityscapes.py	/^    pretrained='torchvision:\/\/resnet101',$/;"	v
pretrained	.\configs\pspnet\pspnet_r101b-d8_769x769_80k_cityscapes.py	/^    pretrained='torchvision:\/\/resnet101',$/;"	v
pretrained	.\configs\pspnet\pspnet_r18-d8_512x1024_80k_cityscapes.py	/^    pretrained='open-mmlab:\/\/resnet18_v1c',$/;"	v
pretrained	.\configs\pspnet\pspnet_r18-d8_769x769_80k_cityscapes.py	/^    pretrained='open-mmlab:\/\/resnet18_v1c',$/;"	v
pretrained	.\configs\pspnet\pspnet_r18b-d8_512x1024_80k_cityscapes.py	/^    pretrained='torchvision:\/\/resnet18',$/;"	v
pretrained	.\configs\pspnet\pspnet_r18b-d8_769x769_80k_cityscapes.py	/^    pretrained='torchvision:\/\/resnet18',$/;"	v
pretrained	.\configs\resnest\deeplabv3_s101-d8_512x1024_80k_cityscapes.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
pretrained	.\configs\resnest\deeplabv3_s101-d8_512x512_160k_ade20k.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
pretrained	.\configs\resnest\deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
pretrained	.\configs\resnest\deeplabv3plus_s101-d8_512x512_160k_ade20k.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
pretrained	.\configs\resnest\fcn_s101-d8_512x1024_80k_cityscapes.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
pretrained	.\configs\resnest\fcn_s101-d8_512x512_160k_ade20k.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
pretrained	.\configs\resnest\pspnet_s101-d8_512x1024_80k_cityscapes.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
pretrained	.\configs\resnest\pspnet_s101-d8_512x512_160k_ade20k.py	/^    pretrained='open-mmlab:\/\/resnest101',$/;"	v
print_log	.\mmseg\datasets\cityscapes.py	/^from mmcv.utils import print_log$/;"	i
print_log	.\mmseg\datasets\custom.py	/^from mmcv.utils import print_log$/;"	i
process_checkpoint	.\.dev\gather_models.py	/^def process_checkpoint(in_file, out_file):$/;"	f
process_checkpoint	.\tools\publish_model.py	/^def process_checkpoint(in_file, out_file):$/;"	f
project	.\docs\conf.py	/^project = 'MMSegmentation'$/;"	v
project_channels	.\configs\_base_\models\ann_r50-d8.py	/^        project_channels=256,$/;"	v
psa_softmax	.\configs\_base_\models\psanet_r50-d8.py	/^        psa_softmax=True,$/;"	v
psa_type	.\configs\_base_\models\psanet_r50-d8.py	/^        psa_type='bi-direction',$/;"	v
psp_forward	.\mmseg\models\decode_heads\uper_head.py	/^    def psp_forward(self, inputs):$/;"	m	class:UPerHead
pthfile	.\tests\test_model.py	/^pthfile = r'\/SEG\/mmsegmentation\/pretrained_model\/recipe1MP_R50.pth'$/;"	v
pvt_large	.\mmseg\models\backbones\pvt.py	/^class pvt_large(PyramidVisionTransformer):$/;"	c
pvt_small	.\mmseg\models\backbones\__init__.py	/^from .pvt import pvt_small, pvt_small_f4, pvt_tiny$/;"	i
pvt_small	.\mmseg\models\backbones\pvt.py	/^class pvt_small(PyramidVisionTransformer):$/;"	c
pvt_small_dia	.\mmseg\models\backbones\__init__.py	/^from .pvt_dia import pvt_small_dia$/;"	i
pvt_small_dia	.\mmseg\models\backbones\pvt_dia.py	/^class pvt_small_dia(PyramidVisionTransformer):$/;"	c
pvt_small_f4	.\mmseg\models\backbones\__init__.py	/^from .pvt import pvt_small, pvt_small_f4, pvt_tiny$/;"	i
pvt_small_f4	.\mmseg\models\backbones\pvt.py	/^class pvt_small_f4(PyramidVisionTransformer):$/;"	c
pvt_tiny	.\mmseg\models\backbones\__init__.py	/^from .pvt import pvt_small, pvt_small_f4, pvt_tiny$/;"	i
pvt_tiny	.\mmseg\models\backbones\pvt.py	/^class pvt_tiny(PyramidVisionTransformer):$/;"	c
pvt_tiny_dia	.\mmseg\models\backbones\pvt_dia.py	/^class pvt_tiny_dia(PyramidVisionTransformer):$/;"	c
pytest	.\tests\test_data\test_dataset.py	/^import pytest$/;"	i
pytest	.\tests\test_data\test_dataset_builder.py	/^import pytest$/;"	i
pytest	.\tests\test_data\test_transform.py	/^import pytest$/;"	i
pytest	.\tests\test_data\test_tta.py	/^import pytest$/;"	i
pytest	.\tests\test_eval_hook.py	/^import pytest$/;"	i
pytest	.\tests\test_models\test_backbone.py	/^import pytest$/;"	i
pytest	.\tests\test_models\test_forward.py	/^import pytest$/;"	i
pytest	.\tests\test_models\test_heads.py	/^import pytest$/;"	i
pytest	.\tests\test_models\test_losses.py	/^import pytest$/;"	i
pytest	.\tests\test_models\test_unet.py	/^import pytest$/;"	i
pytest	.\tests\test_sampler.py	/^import pytest$/;"	i
pytest	.\tests\test_utils\test_inverted_residual_module.py	/^import pytest$/;"	i
pytest	.\tests\test_utils\test_se_layer.py	/^import pytest$/;"	i
pytorch2onnx	.\tools\pytorch2onnx.py	/^def pytorch2onnx(model,$/;"	f
query_scales	.\configs\_base_\models\ann_r50-d8.py	/^        query_scales=(1, ),$/;"	v
radix	.\configs\resnest\deeplabv3_s101-d8_512x1024_80k_cityscapes.py	/^        radix=2,$/;"	v
radix	.\configs\resnest\deeplabv3_s101-d8_512x512_160k_ade20k.py	/^        radix=2,$/;"	v
radix	.\configs\resnest\deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	/^        radix=2,$/;"	v
radix	.\configs\resnest\deeplabv3plus_s101-d8_512x512_160k_ade20k.py	/^        radix=2,$/;"	v
radix	.\configs\resnest\fcn_s101-d8_512x1024_80k_cityscapes.py	/^        radix=2,$/;"	v
radix	.\configs\resnest\fcn_s101-d8_512x512_160k_ade20k.py	/^        radix=2,$/;"	v
radix	.\configs\resnest\pspnet_s101-d8_512x1024_80k_cityscapes.py	/^        radix=2,$/;"	v
radix	.\configs\resnest\pspnet_s101-d8_512x512_160k_ade20k.py	/^        radix=2,$/;"	v
random	.\mmseg\apis\train.py	/^import random$/;"	i
random	.\mmseg\datasets\builder.py	/^import random$/;"	i
random	.\mmseg\datasets\pipelines\transforms.py	/^from numpy import random$/;"	i
random_sample	.\mmseg\datasets\pipelines\transforms.py	/^    def random_sample(img_scales):$/;"	m	class:Resize
random_sample_ratio	.\mmseg\datasets\pipelines\transforms.py	/^    def random_sample_ratio(img_scale, ratio_range):$/;"	m	class:Resize
random_select	.\mmseg\datasets\pipelines\transforms.py	/^    def random_select(img_scales):$/;"	m	class:Resize
ratio	.\configs\_base_\models\gcnet_r50-d8.py	/^        ratio=1 \/ 4.,$/;"	v
re	.\docs\stat.py	/^import re$/;"	i
re	.\mmseg\models\backbones\helpers.py	/^import re$/;"	i
re	.\setup.py	/^    import re$/;"	i
readme	.\setup.py	/^def readme():$/;"	f
recurrence	.\configs\_base_\models\ccnet_r50-d8.py	/^        recurrence=2,$/;"	v
reduce	.\mmseg\datasets\custom.py	/^from functools import reduce$/;"	i
reduce_loss	.\mmseg\models\losses\__init__.py	/^from .utils import reduce_loss, weight_reduce_loss, weighted_loss$/;"	i
reduce_loss	.\mmseg\models\losses\utils.py	/^def reduce_loss(loss, reduction):$/;"	f
reduce_loss	.\tests\test_models\test_losses.py	/^from mmseg.models.losses import Accuracy, reduce_loss, weight_reduce_loss$/;"	i
reduce_mean	.\mmseg\models\decode_heads\ema_head.py	/^def reduce_mean(tensor):$/;"	f
reduction	.\configs\_base_\models\dnl_r50-d8.py	/^        reduction=2,$/;"	v
reduction	.\configs\_base_\models\nonlocal_r50-d8.py	/^        reduction=2,$/;"	v
reduction_factor	.\configs\resnest\deeplabv3_s101-d8_512x1024_80k_cityscapes.py	/^        reduction_factor=4,$/;"	v
reduction_factor	.\configs\resnest\deeplabv3_s101-d8_512x512_160k_ade20k.py	/^        reduction_factor=4,$/;"	v
reduction_factor	.\configs\resnest\deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	/^        reduction_factor=4,$/;"	v
reduction_factor	.\configs\resnest\deeplabv3plus_s101-d8_512x512_160k_ade20k.py	/^        reduction_factor=4,$/;"	v
reduction_factor	.\configs\resnest\fcn_s101-d8_512x1024_80k_cityscapes.py	/^        reduction_factor=4,$/;"	v
reduction_factor	.\configs\resnest\fcn_s101-d8_512x512_160k_ade20k.py	/^        reduction_factor=4,$/;"	v
reduction_factor	.\configs\resnest\pspnet_s101-d8_512x1024_80k_cityscapes.py	/^        reduction_factor=4,$/;"	v
reduction_factor	.\configs\resnest\pspnet_s101-d8_512x512_160k_ade20k.py	/^        reduction_factor=4,$/;"	v
reductions	.\configs\_base_\models\cgnet.py	/^        reductions=(8, 16)),$/;"	v
register_extra_symbolics	.\tools\pytorch2onnx.py	/^from mmcv.onnx import register_extra_symbolics$/;"	i
register_model	.\mmseg\models\backbones\pvt.py	/^from timm.models.registry import register_model$/;"	i
register_model	.\mmseg\models\backbones\pvt_dia.py	/^from timm.models.registry import register_model$/;"	i
release	.\docs\conf.py	/^release = get_version()$/;"	v
relpath	.\tests\test_config.py	/^from os.path import dirname, exists, isdir, join, relpath$/;"	i
repeat	.\mmseg\models\backbones\layers\helpers.py	/^from itertools import repeat$/;"	i
repeat	.\mmseg\models\decode_heads\layers\helpers.py	/^from itertools import repeat$/;"	i
reset_drop_path	.\mmseg\models\backbones\pvt.py	/^    def reset_drop_path(self, drop_path_rate):$/;"	m	class:PyramidVisionTransformer
reset_drop_path	.\mmseg\models\backbones\pvt_dia.py	/^    def reset_drop_path(self, drop_path_rate):$/;"	m	class:PyramidVisionTransformer
resize	.\mmseg\models\backbones\fast_scnn.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\backbones\hrnet.py	/^from mmseg.ops import Upsample, resize$/;"	i
resize	.\mmseg\models\decode_heads\apc_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\aspp_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\decode_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\enc_head.py	/^from mmseg.ops import Encoding, resize$/;"	i
resize	.\mmseg\models\decode_heads\fpn_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\lraspp_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\ocr_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\point_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\psa_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\psp_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\sep_aspp_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\decode_heads\uper_head.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\segmentors\cascade_encoder_decoder.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\models\segmentors\encoder_decoder.py	/^from mmseg.ops import resize$/;"	i
resize	.\mmseg\ops\__init__.py	/^from .wrappers import Upsample, resize$/;"	i
resize	.\mmseg\ops\wrappers.py	/^def resize(input,$/;"	f
resource	.\mmseg\datasets\builder.py	/^    import resource$/;"	i
results2img	.\mmseg\datasets\cityscapes.py	/^    def results2img(self, results, imgfile_prefix, to_label_id):$/;"	m	class:CityscapesDataset
resume_from	.\configs\_base_\default_runtime.py	/^resume_from = None$/;"	v
return_counts	.\docs\stat.py	/^                                    return_counts=True)$/;"	v
rlimit	.\mmseg\datasets\builder.py	/^    rlimit = resource.getrlimit(resource.RLIMIT_NOFILE)$/;"	v
rt	.\tools\pytorch2onnx.py	/^import onnxruntime as rt$/;"	i
runner	.\configs\_base_\schedules\schedule_160k.py	/^runner = dict(type='IterBasedRunner', max_iters=160000)$/;"	v
runner	.\configs\_base_\schedules\schedule_20k.py	/^runner = dict(type='IterBasedRunner', max_iters=20000)$/;"	v
runner	.\configs\_base_\schedules\schedule_40k.py	/^runner = dict(type='IterBasedRunner', max_iters=40000)$/;"	v
runner	.\configs\_base_\schedules\schedule_80k.py	/^runner = dict(type='IterBasedRunner', max_iters=80000)$/;"	v
runner	.\configs\_base_\schedules\schedule_80k_step.py	/^runner = dict(type='IterBasedRunner', max_iters=80000)$/;"	v
runner	.\configs\foodnet\fpn_r50_512x1024_80k.py	/^runner = dict(type='IterBasedRunner', max_iters=80000)$/;"	v
runner	.\configs\foodnet\fpn_r50_512x1024_80k_RM.py	/^runner = dict(type='IterBasedRunner', max_iters=80000)$/;"	v
runner	.\configs\mobilenet_v3\lraspp_m-v3-d8_512x1024_320k_cityscapes.py	/^runner = dict(type='IterBasedRunner', max_iters=320000)$/;"	v
runner	.\configs\mobilenet_v3\lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes.py	/^runner = dict(type='IterBasedRunner', max_iters=320000)$/;"	v
runner	.\tests\test_eval_hook.py	/^import mmcv.runner$/;"	i
sample	.\mmseg\core\seg\sampler\base_pixel_sampler.py	/^    def sample(self, seg_logit, seg_label):$/;"	m	class:BasePixelSampler
sample	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^    def sample(self, seg_logit, seg_label):$/;"	m	class:OHEMPixelSampler
sampler	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        sampler=dict(type='OHEMPixelSampler', min_kept=100000)))$/;"	v
sampler	.\configs\deeplabv3\deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        sampler=dict(type='OHEMPixelSampler', min_kept=100000)))$/;"	v
sampler	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes.py	/^        sampler=dict(type='OHEMPixelSampler', min_kept=100000)))$/;"	v
sampler	.\configs\deeplabv3plus\deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py	/^        sampler=dict(type='OHEMPixelSampler', min_kept=100000)))$/;"	v
samples_per_gpu	.\configs\_base_\datasets\FoodSeg103.py	/^    samples_per_gpu=2,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\ade20k.py	/^    samples_per_gpu=4,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\chase_db1.py	/^    samples_per_gpu=4,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\cityscapes.py	/^    samples_per_gpu=2,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\drive.py	/^    samples_per_gpu=4,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\hrf.py	/^    samples_per_gpu=4,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\pascal_context.py	/^    samples_per_gpu=4,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\pascal_voc12.py	/^    samples_per_gpu=4,$/;"	v
samples_per_gpu	.\configs\_base_\datasets\stare.py	/^    samples_per_gpu=4,$/;"	v
samples_per_gpu	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^    samples_per_gpu=8,$/;"	v
samples_per_gpu	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^    samples_per_gpu=8,$/;"	v
saturation	.\mmseg\datasets\pipelines\transforms.py	/^    def saturation(self, img):$/;"	m	class:PhotoMetricDistortion
scale_factor	.\configs\_base_\models\pointrend_r50.py	/^        scale_factor=2))$/;"	v
scaled_l2	.\mmseg\ops\encoding.py	/^    def scaled_l2(x, codewords, scale):$/;"	m	class:Encoding
scatter	.\mmseg\apis\inference.py	/^from mmcv.parallel import collate, scatter$/;"	i
segmentor	.\tools\pytorch2onnx.py	/^    segmentor = _convert_batchnorm(segmentor)$/;"	v
segmentor	.\tools\pytorch2onnx.py	/^    segmentor = build_segmentor($/;"	v
serialization	.\tools\pytorch2onnx.py	/^import torch.serialization$/;"	i
set_random_seed	.\mmseg\apis\__init__.py	/^from .train import get_root_logger, set_random_seed, train_segmentor$/;"	i
set_random_seed	.\mmseg\apis\train.py	/^def set_random_seed(seed, deterministic=False):$/;"	f
set_random_seed	.\tools\train.py	/^from mmseg.apis import set_random_seed, train_segmentor$/;"	i
setup	.\docs\conf.py	/^def setup(app):$/;"	f
setup	.\setup.py	/^from setuptools import find_packages, setup$/;"	i
setup_class	.\tests\test_data\test_loading.py	/^    def setup_class(cls):$/;"	m	class:TestLoading
show	.\tools\pytorch2onnx.py	/^        show=args.show,$/;"	v
show_result	.\mmseg\models\segmentors\base.py	/^    def show_result(self,$/;"	m	class:BaseSegmentor
show_result_pyplot	.\demo\image_demo.py	/^from mmseg.apis import inference_segmentor, init_segmentor, show_result_pyplot$/;"	i
show_result_pyplot	.\mmseg\apis\__init__.py	/^from .inference import inference_segmentor, init_segmentor, show_result_pyplot$/;"	i
show_result_pyplot	.\mmseg\apis\inference.py	/^def show_result_pyplot(model, img, result, palette=None, fig_size=(15, 10)):$/;"	f
shrink_factor	.\configs\_base_\models\psanet_r50-d8.py	/^        shrink_factor=2,$/;"	v
shutil	.\.dev\gather_models.py	/^import shutil$/;"	i
shutil	.\mmseg\apis\test.py	/^import shutil$/;"	i
simple_test	.\mmseg\models\segmentors\base.py	/^    def simple_test(self, img, img_meta, **kwargs):$/;"	m	class:BaseSegmentor
simple_test	.\mmseg\models\segmentors\encoder_decoder.py	/^    def simple_test(self, img, img_meta, rescale=True):$/;"	m	class:EncoderDecoder
single_gpu_test	.\mmseg\apis\__init__.py	/^from .test import multi_gpu_test, single_gpu_test$/;"	i
single_gpu_test	.\mmseg\apis\test.py	/^def single_gpu_test(model,$/;"	f
single_gpu_test	.\mmseg\core\evaluation\eval_hooks.py	/^        from mmseg.apis import single_gpu_test$/;"	i
single_gpu_test	.\tests\test_eval_hook.py	/^from mmseg.apis import single_gpu_test$/;"	i
single_gpu_test	.\tools\test.py	/^from mmseg.apis import multi_gpu_test, single_gpu_test$/;"	i
slide_inference	.\mmseg\models\segmentors\encoder_decoder.py	/^    def slide_inference(self, img, img_meta, rescale):$/;"	m	class:EncoderDecoder
soft_limit	.\mmseg\datasets\builder.py	/^    soft_limit = min(4096, hard_limit)$/;"	v
source_suffix	.\docs\conf.py	/^source_suffix = {$/;"	v
split	.\configs\_base_\datasets\pascal_context.py	/^        split='ImageSets\/SegmentationContext\/train.txt',$/;"	v
split	.\configs\_base_\datasets\pascal_context.py	/^        split='ImageSets\/SegmentationContext\/val.txt',$/;"	v
split	.\configs\_base_\datasets\pascal_voc12.py	/^        split='ImageSets\/Segmentation\/train.txt',$/;"	v
split	.\configs\_base_\datasets\pascal_voc12.py	/^        split='ImageSets\/Segmentation\/val.txt',$/;"	v
split	.\configs\_base_\datasets\pascal_voc12_aug.py	/^        split=[$/;"	v
stage1	.\configs\_base_\models\fcn_hr18.py	/^            stage1=dict($/;"	v
stage1	.\configs\_base_\models\ocrnet_hr18.py	/^            stage1=dict($/;"	v
stage1	.\configs\hrnet\fcn_hr18s_480x480_40k_pascal_context.py	/^            stage1=dict(num_blocks=(2, )),$/;"	v
stage1	.\configs\hrnet\fcn_hr18s_480x480_80k_pascal_context.py	/^            stage1=dict(num_blocks=(2, )),$/;"	v
stage1	.\configs\hrnet\fcn_hr18s_512x1024_160k_cityscapes.py	/^            stage1=dict(num_blocks=(2, )),$/;"	v
stage1	.\configs\hrnet\fcn_hr18s_512x1024_40k_cityscapes.py	/^            stage1=dict(num_blocks=(2, )),$/;"	v
stage1	.\configs\hrnet\fcn_hr18s_512x1024_80k_cityscapes.py	/^            stage1=dict(num_blocks=(2, )),$/;"	v
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test_cfg	.\configs\ann\ann_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\apcnet\apcnet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\apcnet\apcnet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\ccnet\ccnet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\ccnet\ccnet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\danet\danet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\danet\danet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\deeplabv3\deeplabv3_r50-d8_480x480_40k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\deeplabv3\deeplabv3_r50-d8_480x480_80k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\deeplabv3\deeplabv3_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\deeplabv3\deeplabv3_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_480x480_40k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_480x480_80k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\deeplabv3plus\deeplabv3plus_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\dmnet\dmnet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\dmnet\dmnet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\dnlnet\dnl_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\dnlnet\dnl_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\emanet\emanet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\encnet\encnet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\encnet\encnet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\fcn\fcn_r50-d8_480x480_40k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\fcn\fcn_r50-d8_480x480_80k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\fcn\fcn_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\fcn\fcn_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base.py	/^test_cfg = dict(mode='slide', crop_size=crop_size, stride=(512, 512))$/;"	v
test_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224.py	/^test_cfg = dict(mode='slide', crop_size=crop_size, stride=(512, 512))$/;"	v
test_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_base_224_step.py	/^test_cfg = dict(mode='slide', crop_size=crop_size, stride=(512, 512))$/;"	v
test_cfg	.\configs\foodnet\SETR_MLA_768x768_80k_Recipe1M_bs_8_large.py	/^test_cfg = dict(mode='slide', crop_size=crop_size, stride=(512, 512))$/;"	v
test_cfg	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^test_cfg = dict(mode='slide', crop_size=crop_size, stride=(512, 512))$/;"	v
test_cfg	.\configs\foodnet\ccnet_vit_768x768_80k.py	/^test_cfg = dict(mode='slide', crop_size=crop_size, stride=(512, 512))$/;"	v
test_cfg	.\configs\gcnet\gcnet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\gcnet\gcnet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\hrnet\fcn_hr18_480x480_40k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\hrnet\fcn_hr18_480x480_80k_pascal_context.py	/^    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))$/;"	v
test_cfg	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\nonlocal_net\nonlocal_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\psanet\psanet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\psanet\psanet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\pspnet\pspnet_r50-d8_480x480_40k_pascal_context.py	/^test_cfg = dict(mode='slide', crop_size=(480, 480), stride=(320, 320))$/;"	v
test_cfg	.\configs\pspnet\pspnet_r50-d8_480x480_80k_pascal_context.py	/^test_cfg = dict(mode='slide', crop_size=(480, 480), stride=(320, 320))$/;"	v
test_cfg	.\configs\pspnet\pspnet_r50-d8_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\pspnet\pspnet_r50-d8_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\upernet\upernet_r50_769x769_40k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cfg	.\configs\upernet\upernet_r50_769x769_80k_cityscapes.py	/^    test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))$/;"	v
test_cgnet_GlobalContextExtractor	.\tests\test_models\test_backbone.py	/^def test_cgnet_GlobalContextExtractor():$/;"	f
test_cgnet_backbone	.\tests\test_models\test_backbone.py	/^def test_cgnet_backbone():$/;"	f
test_cgnet_context_guided_block	.\tests\test_models\test_backbone.py	/^def test_cgnet_context_guided_block():$/;"	f
test_classes	.\tests\test_data\test_dataset.py	/^def test_classes():$/;"	f
test_config_build_segmentor	.\tests\test_config.py	/^def test_config_build_segmentor():$/;"	f
test_config_data_pipeline	.\tests\test_config.py	/^def test_config_data_pipeline():$/;"	f
test_custom_classes_override_default	.\tests\test_data\test_dataset.py	/^def test_custom_classes_override_default(dataset, classes):$/;"	f
test_custom_dataset	.\tests\test_data\test_dataset.py	/^def test_custom_dataset():$/;"	f
test_custom_dataset_custom_palette	.\tests\test_data\test_dataset.py	/^def test_custom_dataset_custom_palette():$/;"	f
test_custom_dataset_random_palette_is_generated	.\tests\test_data\test_dataset.py	/^def test_custom_dataset_random_palette_is_generated():$/;"	f
test_da_head	.\tests\test_models\test_heads.py	/^def test_da_head():$/;"	f
test_danet_forward	.\tests\test_models\test_forward.py	/^def test_danet_forward():$/;"	f
test_dataset_wrapper	.\tests\test_data\test_dataset.py	/^def test_dataset_wrapper():$/;"	f
test_decode_head	.\tests\test_models\test_heads.py	/^def test_decode_head():$/;"	f
test_deconv_module	.\tests\test_models\test_unet.py	/^def test_deconv_module():$/;"	f
test_deeplabv3_forward	.\tests\test_models\test_forward.py	/^def test_deeplabv3_forward():$/;"	f
test_deeplabv3plus_forward	.\tests\test_models\test_forward.py	/^def test_deeplabv3plus_forward():$/;"	f
test_dist_eval_hook	.\tests\test_eval_hook.py	/^def test_dist_eval_hook():$/;"	f
test_dist_eval_hook_epoch	.\tests\test_eval_hook.py	/^def test_dist_eval_hook_epoch():$/;"	f
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test_dnl_head	.\tests\test_models\test_heads.py	/^def test_dnl_head():$/;"	f
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test_emanet_forward	.\tests\test_models\test_forward.py	/^def test_emanet_forward():$/;"	f
test_emanet_head	.\tests\test_models\test_heads.py	/^def test_emanet_head():$/;"	f
test_enc_head	.\tests\test_models\test_heads.py	/^def test_enc_head():$/;"	f
test_encnet_forward	.\tests\test_models\test_forward.py	/^def test_encnet_forward():$/;"	f
test_encoder_decoder	.\tests\test_models\test_segmentor.py	/^def test_encoder_decoder():$/;"	f
test_epoch_eval_hook	.\tests\test_eval_hook.py	/^def test_epoch_eval_hook():$/;"	f
test_fastscnn_backbone	.\tests\test_models\test_backbone.py	/^def test_fastscnn_backbone():$/;"	f
test_fcn_forward	.\tests\test_models\test_forward.py	/^def test_fcn_forward():$/;"	f
test_fcn_head	.\tests\test_models\test_heads.py	/^def test_fcn_head():$/;"	f
test_flip	.\tests\test_data\test_transform.py	/^def test_flip():$/;"	f
test_fpn	.\tests\test_models\test_necks.py	/^def test_fpn():$/;"	f
test_gc_head	.\tests\test_models\test_heads.py	/^def test_gc_head():$/;"	f
test_gcnet_forward	.\tests\test_models\test_forward.py	/^def test_gcnet_forward():$/;"	f
test_hrnet_forward	.\tests\test_models\test_forward.py	/^def test_hrnet_forward():$/;"	f
test_interp_conv	.\tests\test_models\test_unet.py	/^def test_interp_conv():$/;"	f
test_inv_residual	.\tests\test_utils\test_inverted_residual_module.py	/^def test_inv_residual():$/;"	f
test_inv_residualv3	.\tests\test_utils\test_inverted_residual_module.py	/^def test_inv_residualv3():$/;"	f
test_iter_eval_hook	.\tests\test_eval_hook.py	/^def test_iter_eval_hook():$/;"	f
test_load_img	.\tests\test_data\test_loading.py	/^    def test_load_img(self):$/;"	m	class:TestLoading
test_load_seg	.\tests\test_data\test_loading.py	/^    def test_load_seg(self):$/;"	m	class:TestLoading
test_load_seg_custom_classes	.\tests\test_data\test_loading.py	/^    def test_load_seg_custom_classes(self):$/;"	m	class:TestLoading
test_lovasz_loss	.\tests\test_models\test_losses.py	/^def test_lovasz_loss():$/;"	f
test_lraspp_head	.\tests\test_models\test_heads.py	/^def test_lraspp_head():$/;"	f
test_make_divisible	.\tests\test_utils\test_make_divisible.py	/^def test_make_divisible():$/;"	f
test_mean_dice	.\tests\test_metrics.py	/^def test_mean_dice():$/;"	f
test_mean_iou	.\tests\test_metrics.py	/^def test_mean_iou():$/;"	f
test_metrics	.\tests\test_metrics.py	/^def test_metrics():$/;"	f
test_mobilenet_v2_forward	.\tests\test_models\test_forward.py	/^def test_mobilenet_v2_forward():$/;"	f
test_mobilenet_v3	.\tests\test_models\test_backbone.py	/^def test_mobilenet_v3():$/;"	f
test_multi_scale_flip_aug	.\tests\test_data\test_tta.py	/^def test_multi_scale_flip_aug():$/;"	f
test_nl_head	.\tests\test_models\test_heads.py	/^def test_nl_head():$/;"	f
test_nonlocal_net_forward	.\tests\test_models\test_forward.py	/^def test_nonlocal_net_forward():$/;"	f
test_normalize	.\tests\test_data\test_transform.py	/^def test_normalize():$/;"	f
test_ocr_head	.\tests\test_models\test_heads.py	/^def test_ocr_head():$/;"	f
test_ocrnet_forward	.\tests\test_models\test_forward.py	/^def test_ocrnet_forward():$/;"	f
test_ohem_sampler	.\tests\test_sampler.py	/^def test_ohem_sampler():$/;"	f
test_pad	.\tests\test_data\test_transform.py	/^def test_pad():$/;"	f
test_palette	.\tests\test_data\test_dataset.py	/^def test_palette():$/;"	f
test_pipeline	.\configs\_base_\datasets\FoodSeg103.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\Recipe1M_768x768.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\ade20k.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\chase_db1.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\cityscapes.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\cityscapes_769x769.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\drive.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\hrf.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\pascal_context.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\pascal_voc12.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\_base_\datasets\stare.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^test_pipeline = [$/;"	v
test_pipeline	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^test_pipeline = [$/;"	v
test_point_head	.\tests\test_models\test_heads.py	/^def test_point_head():$/;"	f
test_point_rend_forward	.\tests\test_models\test_forward.py	/^def test_point_rend_forward():$/;"	f
test_psa_head	.\tests\test_models\test_heads.py	/^def test_psa_head():$/;"	f
test_psanet_forward	.\tests\test_models\test_forward.py	/^def test_psanet_forward():$/;"	f
test_psp_head	.\tests\test_models\test_heads.py	/^def test_psp_head():$/;"	f
test_pspnet_forward	.\tests\test_models\test_forward.py	/^def test_pspnet_forward():$/;"	f
test_random_crop	.\tests\test_data\test_transform.py	/^def test_random_crop():$/;"	f
test_renext_bottleneck	.\tests\test_models\test_backbone.py	/^def test_renext_bottleneck():$/;"	f
test_rerange	.\tests\test_data\test_transform.py	/^def test_rerange():$/;"	f
test_resize	.\tests\test_data\test_transform.py	/^def test_resize():$/;"	f
test_resnest_backbone	.\tests\test_models\test_backbone.py	/^def test_resnest_backbone():$/;"	f
test_resnest_bottleneck	.\tests\test_models\test_backbone.py	/^def test_resnest_bottleneck():$/;"	f
test_resnet_backbone	.\tests\test_models\test_backbone.py	/^def test_resnet_backbone():$/;"	f
test_resnet_basic_block	.\tests\test_models\test_backbone.py	/^def test_resnet_basic_block():$/;"	f
test_resnet_bottleneck	.\tests\test_models\test_backbone.py	/^def test_resnet_bottleneck():$/;"	f
test_resnet_res_layer	.\tests\test_models\test_backbone.py	/^def test_resnet_res_layer():$/;"	f
test_resnext_backbone	.\tests\test_models\test_backbone.py	/^def test_resnext_backbone():$/;"	f
test_rgb2gray	.\tests\test_data\test_transform.py	/^def test_rgb2gray():$/;"	f
test_rotate	.\tests\test_data\test_transform.py	/^def test_rotate():$/;"	f
test_se_layer	.\tests\test_utils\test_se_layer.py	/^def test_se_layer():$/;"	f
test_seg_rescale	.\tests\test_data\test_transform.py	/^def test_seg_rescale():$/;"	f
test_sem_fpn_forward	.\tests\test_models\test_forward.py	/^def test_sem_fpn_forward():$/;"	f
test_sep_fcn_head	.\tests\test_models\test_heads.py	/^def test_sep_fcn_head():$/;"	f
test_test_time_augmentation_on_cpu	.\tests\test_inference.py	/^def test_test_time_augmentation_on_cpu():$/;"	f
test_unet	.\tests\test_models\test_unet.py	/^def test_unet():$/;"	f
test_unet_basic_conv_block	.\tests\test_models\test_unet.py	/^def test_unet_basic_conv_block():$/;"	f
test_up_conv_block	.\tests\test_models\test_unet.py	/^def test_up_conv_block():$/;"	f
test_uper_head	.\tests\test_models\test_heads.py	/^def test_uper_head():$/;"	f
test_upernet_forward	.\tests\test_models\test_forward.py	/^def test_upernet_forward():$/;"	f
test_utils	.\tests\test_models\test_losses.py	/^def test_utils():$/;"	f
time	.\tools\benchmark.py	/^import time$/;"	i
time	.\tools\train.py	/^import time$/;"	i
times	.\configs\_base_\datasets\chase_db1.py	/^        times=40000,$/;"	v
times	.\configs\_base_\datasets\drive.py	/^        times=40000,$/;"	v
times	.\configs\_base_\datasets\hrf.py	/^        times=40000,$/;"	v
times	.\configs\_base_\datasets\stare.py	/^        times=40000,$/;"	v
title	.\docs\stat.py	/^    title = content.split('\\n')[0].replace('#', '').strip()$/;"	v
titles	.\docs\stat.py	/^titles = []$/;"	v
to_1D	.\mmseg\models\backbones\vit.py	/^    def to_1D(self, x):$/;"	m	class:VisionTransformer
to_1tuple	.\mmseg\models\backbones\layers\helpers.py	/^to_1tuple = _ntuple(1)$/;"	v
to_1tuple	.\mmseg\models\decode_heads\layers\helpers.py	/^to_1tuple = _ntuple(1)$/;"	v
to_2D	.\mmseg\models\backbones\vit.py	/^    def to_2D(self, x):$/;"	m	class:VisionTransformer
to_2D	.\mmseg\models\backbones\vit_mla.py	/^    def to_2D(self, x):$/;"	m	class:Conv_MLA
to_2D	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^    def to_2D(self, x):$/;"	m	class:VIT_MLA_AUXIHead
to_2tuple	.\mmseg\models\backbones\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_2tuple	.\mmseg\models\backbones\layers\helpers.py	/^to_2tuple = _ntuple(2)$/;"	v
to_2tuple	.\mmseg\models\backbones\pvt.py	/^from timm.models.layers import DropPath, to_2tuple, trunc_normal_$/;"	i
to_2tuple	.\mmseg\models\backbones\pvt_dia.py	/^from timm.models.layers import DropPath, to_2tuple, trunc_normal_$/;"	i
to_2tuple	.\mmseg\models\backbones\vit.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
to_2tuple	.\mmseg\models\backbones\vit_mla.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
to_2tuple	.\mmseg\models\decode_heads\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_2tuple	.\mmseg\models\decode_heads\layers\helpers.py	/^to_2tuple = _ntuple(2)$/;"	v
to_2tuple	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
to_2tuple	.\mmseg\models\decode_heads\vit_mla_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
to_2tuple	.\mmseg\models\decode_heads\vit_up_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
to_3tuple	.\mmseg\models\backbones\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_3tuple	.\mmseg\models\backbones\layers\helpers.py	/^to_3tuple = _ntuple(3)$/;"	v
to_3tuple	.\mmseg\models\decode_heads\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_3tuple	.\mmseg\models\decode_heads\layers\helpers.py	/^to_3tuple = _ntuple(3)$/;"	v
to_4tuple	.\mmseg\models\backbones\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_4tuple	.\mmseg\models\backbones\layers\helpers.py	/^to_4tuple = _ntuple(4)$/;"	v
to_4tuple	.\mmseg\models\decode_heads\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_4tuple	.\mmseg\models\decode_heads\layers\helpers.py	/^to_4tuple = _ntuple(4)$/;"	v
to_cuda	.\tests\test_models\test_heads.py	/^def to_cuda(module, data):$/;"	f
to_ntuple	.\mmseg\models\backbones\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_ntuple	.\mmseg\models\backbones\layers\helpers.py	/^to_ntuple = _ntuple$/;"	v
to_ntuple	.\mmseg\models\decode_heads\layers\__init__.py	/^from .helpers import to_ntuple, to_2tuple, to_3tuple, to_4tuple$/;"	i
to_ntuple	.\mmseg\models\decode_heads\layers\helpers.py	/^to_ntuple = _ntuple$/;"	v
to_tensor	.\mmseg\datasets\pipelines\formating.py	/^def to_tensor(data):$/;"	f
torch	.\.dev\gather_models.py	/^import torch$/;"	i
torch	.\mmseg\apis\inference.py	/^import torch$/;"	i
torch	.\mmseg\apis\test.py	/^import torch$/;"	i
torch	.\mmseg\apis\test.py	/^import torch.distributed as dist$/;"	i
torch	.\mmseg\apis\train.py	/^import torch$/;"	i
torch	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^import torch$/;"	i
torch	.\mmseg\core\seg\sampler\ohem_pixel_sampler.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\datasets\pipelines\formating.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\cgnet.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\cgnet.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\cgnet.py	/^import torch.utils.checkpoint as cp$/;"	i
torch	.\mmseg\models\backbones\fast_scnn.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\fast_scnn.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\helpers.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\helpers.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\helpers.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\backbones\helpers.py	/^import torch.utils.model_zoo as model_zoo$/;"	i
torch	.\mmseg\models\backbones\hrnet.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\layers\drop.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\layers\drop.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\layers\drop.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\backbones\layers\weight_init.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\mobilenet_v2.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\mobilenet_v3.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\pvt.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\pvt.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\pvt.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\backbones\pvt_dia.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\pvt_dia.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\pvt_dia.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\backbones\resnest.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\resnest.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\resnest.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\backbones\resnest.py	/^import torch.utils.checkpoint as cp$/;"	i
torch	.\mmseg\models\backbones\resnet.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\resnet.py	/^import torch.utils.checkpoint as cp$/;"	i
torch	.\mmseg\models\backbones\unet.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\unet.py	/^import torch.utils.checkpoint as cp$/;"	i
torch	.\mmseg\models\backbones\vit.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\vit.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\vit.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\backbones\vit_mla.py	/^import torch$/;"	i
torch	.\mmseg\models\backbones\vit_mla.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\backbones\vit_mla.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\ann_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\ann_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\apc_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\apc_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\apc_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\aspp_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\aspp_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\cc_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\da_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\da_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\decode_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\decode_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\dm_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\dm_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\dm_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\dnl_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\ema_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\ema_head.py	/^import torch.distributed as dist$/;"	i
torch	.\mmseg\models\decode_heads\ema_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\ema_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\enc_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\enc_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\enc_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\fcn_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\fcn_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\fpn_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\gc_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\helpers.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\helpers.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\helpers.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\helpers.py	/^import torch.utils.model_zoo as model_zoo$/;"	i
torch	.\mmseg\models\decode_heads\layers\drop.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\layers\drop.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\layers\drop.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\layers\weight_init.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\lraspp_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\lraspp_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\nl_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\ocr_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\ocr_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\ocr_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\point_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\point_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\psa_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\psa_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\psa_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\psp_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\psp_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\sep_aspp_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\sep_aspp_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\uper_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\uper_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\vit_mla_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\vit_mla_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\vit_mla_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\decode_heads\vit_up_head.py	/^import torch$/;"	i
torch	.\mmseg\models\decode_heads\vit_up_head.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\decode_heads\vit_up_head.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\losses\accuracy.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\losses\cross_entropy_loss.py	/^import torch$/;"	i
torch	.\mmseg\models\losses\cross_entropy_loss.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\losses\cross_entropy_loss.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\losses\lovasz_loss.py	/^import torch$/;"	i
torch	.\mmseg\models\losses\lovasz_loss.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\losses\lovasz_loss.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\losses\utils.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\necks\fpn.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\necks\fpn.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\segmentors\base.py	/^import torch$/;"	i
torch	.\mmseg\models\segmentors\base.py	/^import torch.distributed as dist$/;"	i
torch	.\mmseg\models\segmentors\base.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\segmentors\encoder_decoder.py	/^import torch$/;"	i
torch	.\mmseg\models\segmentors\encoder_decoder.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\segmentors\encoder_decoder.py	/^import torch.nn.functional as F$/;"	i
torch	.\mmseg\models\utils\se_layer.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\models\utils\self_attention_block.py	/^import torch$/;"	i
torch	.\mmseg\models\utils\up_conv_block.py	/^import torch$/;"	i
torch	.\mmseg\models\utils\up_conv_block.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\ops\encoding.py	/^import torch$/;"	i
torch	.\mmseg\ops\wrappers.py	/^import torch$/;"	i
torch	.\mmseg\ops\wrappers.py	/^import torch.nn as nn$/;"	i
torch	.\mmseg\ops\wrappers.py	/^import torch.nn.functional as F$/;"	i
torch	.\tests\test_eval_hook.py	/^import torch$/;"	i
torch	.\tests\test_eval_hook.py	/^import torch.nn as nn$/;"	i
torch	.\tests\test_model.py	/^import torch$/;"	i
torch	.\tests\test_models\test_backbone.py	/^import torch$/;"	i
torch	.\tests\test_models\test_forward.py	/^import torch$/;"	i
torch	.\tests\test_models\test_forward.py	/^import torch.nn as nn$/;"	i
torch	.\tests\test_models\test_heads.py	/^import torch$/;"	i
torch	.\tests\test_models\test_losses.py	/^import torch$/;"	i
torch	.\tests\test_models\test_necks.py	/^import torch$/;"	i
torch	.\tests\test_models\test_segmentor.py	/^import torch$/;"	i
torch	.\tests\test_models\test_unet.py	/^import torch$/;"	i
torch	.\tests\test_sampler.py	/^import torch$/;"	i
torch	.\tests\test_utils\test_inverted_residual_module.py	/^import torch$/;"	i
torch	.\tests\test_utils\test_se_layer.py	/^import torch$/;"	i
torch	.\tools\benchmark.py	/^import torch$/;"	i
torch	.\tools\publish_model.py	/^import torch$/;"	i
torch	.\tools\pytorch2onnx.py	/^import torch$/;"	i
torch	.\tools\pytorch2onnx.py	/^import torch._C$/;"	i
torch	.\tools\pytorch2onnx.py	/^import torch.serialization$/;"	i
torch	.\tools\test.py	/^import torch$/;"	i
torch	.\tools\train.py	/^import torch$/;"	i
total_intersect_and_union	.\mmseg\core\evaluation\metrics.py	/^def total_intersect_and_union(results,$/;"	f
total_iters	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^total_iters = 60000$/;"	v
total_iters	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^total_iters = 60000$/;"	v
train	.\configs\_base_\datasets\FoodSeg103.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\Recipe1M_768x768.py	/^    train=dict(pipeline=train_pipeline),$/;"	v
train	.\configs\_base_\datasets\ade20k.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\chase_db1.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\cityscapes.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\cityscapes_769x769.py	/^    train=dict(pipeline=train_pipeline),$/;"	v
train	.\configs\_base_\datasets\drive.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\hrf.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\pascal_context.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\pascal_voc12.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\pascal_voc12_aug.py	/^    train=dict($/;"	v
train	.\configs\_base_\datasets\stare.py	/^    train=dict($/;"	v
train	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^    train=dict($/;"	v
train	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^    train=dict(pipeline=train_pipeline),$/;"	v
train	.\mmseg\models\backbones\cgnet.py	/^    def train(self, mode=True):$/;"	m	class:CGNet
train	.\mmseg\models\backbones\hrnet.py	/^    def train(self, mode=True):$/;"	m	class:HRNet
train	.\mmseg\models\backbones\mobilenet_v2.py	/^    def train(self, mode=True):$/;"	m	class:MobileNetV2
train	.\mmseg\models\backbones\mobilenet_v3.py	/^    def train(self, mode=True):$/;"	m	class:MobileNetV3
train	.\mmseg\models\backbones\resnet.py	/^    def train(self, mode=True):$/;"	m	class:ResNet
train	.\mmseg\models\backbones\unet.py	/^    def train(self, mode=True):$/;"	m	class:UNet
train_cfg	.\configs\_base_\models\ann_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\apcnet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\ccnet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\cgnet.py	/^    train_cfg=dict(sampler=None),$/;"	v
train_cfg	.\configs\_base_\models\danet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\deeplabv3_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\dmnet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\dnl_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\emanet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\encnet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\fast_scnn.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\fcn_hr18.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\fcn_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\fcn_unet_s5-d16.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\fpn_r50.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\gcnet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\lraspp_m-v3-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\nonlocal_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\ocrnet_hr18.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\ocrnet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\pointrend_r50.py	/^    train_cfg=dict($/;"	v
train_cfg	.\configs\_base_\models\psanet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\pspnet_r50-d8.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^    train_cfg=dict(),$/;"	v
train_cfg	.\configs\_base_\models\setr_mla.py	/^train_cfg = dict()$/;"	v
train_cfg	.\configs\_base_\models\setr_naive_pup.py	/^train_cfg = dict()$/;"	v
train_cfg	.\configs\_base_\models\upernet_r50.py	/^    train_cfg=dict(),$/;"	v
train_pipeline	.\configs\_base_\datasets\FoodSeg103.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\Recipe1M_768x768.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\ade20k.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\chase_db1.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\cityscapes.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\cityscapes_769x769.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\drive.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\hrf.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\pascal_context.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\pascal_voc12.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\_base_\datasets\stare.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^train_pipeline = [$/;"	v
train_pipeline	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^train_pipeline = [$/;"	v
train_segmentor	.\mmseg\apis\__init__.py	/^from .train import get_root_logger, set_random_seed, train_segmentor$/;"	i
train_segmentor	.\mmseg\apis\train.py	/^def train_segmentor(model,$/;"	f
train_segmentor	.\tools\train.py	/^from mmseg.apis import set_random_seed, train_segmentor$/;"	i
train_step	.\mmseg\models\segmentors\base.py	/^    def train_step(self, data_batch, optimizer, **kwargs):$/;"	m	class:BaseSegmentor
train_step	.\tests\test_eval_hook.py	/^    def train_step(self, data_batch, optimizer):$/;"	m	class:ExampleModel
transforms	.\configs\_base_\datasets\FoodSeg103.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\Recipe1M_768x768.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\ade20k.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\chase_db1.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\cityscapes.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\cityscapes_769x769.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\drive.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\hrf.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\pascal_context.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\pascal_voc12.py	/^        transforms=[$/;"	v
transforms	.\configs\_base_\datasets\stare.py	/^        transforms=[$/;"	v
transforms	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^        transforms=[$/;"	v
transforms	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^        transforms=[$/;"	v
trunc_normal_	.\mmseg\models\backbones\layers\__init__.py	/^from .weight_init import trunc_normal_/;"	i
trunc_normal_	.\mmseg\models\backbones\layers\weight_init.py	/^def trunc_normal_(tensor, mean=0., std=1., a=-2., b=2.):$/;"	f
trunc_normal_	.\mmseg\models\backbones\pvt.py	/^from timm.models.layers import DropPath, to_2tuple, trunc_normal_$/;"	i
trunc_normal_	.\mmseg\models\backbones\pvt_dia.py	/^from timm.models.layers import DropPath, to_2tuple, trunc_normal_$/;"	i
trunc_normal_	.\mmseg\models\backbones\vit.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
trunc_normal_	.\mmseg\models\backbones\vit_mla.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
trunc_normal_	.\mmseg\models\decode_heads\layers\__init__.py	/^from .weight_init import trunc_normal_/;"	i
trunc_normal_	.\mmseg\models\decode_heads\layers\weight_init.py	/^def trunc_normal_(tensor, mean=0., std=1., a=-2., b=2.):$/;"	f
trunc_normal_	.\mmseg\models\decode_heads\vit_mla_auxi_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
trunc_normal_	.\mmseg\models\decode_heads\vit_mla_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
trunc_normal_	.\mmseg\models\decode_heads\vit_up_head.py	/^from .layers import DropPath, to_2tuple, trunc_normal_$/;"	i
type	.\configs\_base_\datasets\FoodSeg103.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\FoodSeg103.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\Recipe1M_768x768.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\ade20k.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\ade20k.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\chase_db1.py	/^            type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\chase_db1.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\chase_db1.py	/^        type='RepeatDataset',$/;"	v
type	.\configs\_base_\datasets\chase_db1.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\cityscapes.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\cityscapes.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\cityscapes_769x769.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\drive.py	/^            type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\drive.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\drive.py	/^        type='RepeatDataset',$/;"	v
type	.\configs\_base_\datasets\drive.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\hrf.py	/^            type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\hrf.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\hrf.py	/^        type='RepeatDataset',$/;"	v
type	.\configs\_base_\datasets\hrf.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\pascal_context.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\pascal_context.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\pascal_voc12.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\pascal_voc12.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\stare.py	/^            type=dataset_type,$/;"	v
type	.\configs\_base_\datasets\stare.py	/^        type='MultiScaleFlipAug',$/;"	v
type	.\configs\_base_\datasets\stare.py	/^        type='RepeatDataset',$/;"	v
type	.\configs\_base_\datasets\stare.py	/^        type=dataset_type,$/;"	v
type	.\configs\_base_\models\ann_r50-d8.py	/^        type='ANNHead',$/;"	v
type	.\configs\_base_\models\ann_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\ann_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\ann_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\apcnet_r50-d8.py	/^        type='APCHead',$/;"	v
type	.\configs\_base_\models\apcnet_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\apcnet_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\apcnet_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\ccnet_r50-d8.py	/^        type='CCHead',$/;"	v
type	.\configs\_base_\models\ccnet_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\ccnet_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\ccnet_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\cgnet.py	/^            type='CrossEntropyLoss',$/;"	v
type	.\configs\_base_\models\cgnet.py	/^        type='CGNet',$/;"	v
type	.\configs\_base_\models\cgnet.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\cgnet.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\danet_r50-d8.py	/^        type='DAHead',$/;"	v
type	.\configs\_base_\models\danet_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\danet_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\danet_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        type='ASPPHead',$/;"	v
type	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\deeplabv3_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\deeplabv3_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        type='ASPPHead',$/;"	v
type	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        type='UNet',$/;"	v
type	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        type='DepthwiseSeparableASPPHead',$/;"	v
type	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\deeplabv3plus_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\dmnet_r50-d8.py	/^        type='DMHead',$/;"	v
type	.\configs\_base_\models\dmnet_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\dmnet_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\dmnet_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\dnl_r50-d8.py	/^        type='DNLHead',$/;"	v
type	.\configs\_base_\models\dnl_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\dnl_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\dnl_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\emanet_r50-d8.py	/^        type='EMAHead',$/;"	v
type	.\configs\_base_\models\emanet_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\emanet_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\emanet_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\encnet_r50-d8.py	/^        type='EncHead',$/;"	v
type	.\configs\_base_\models\encnet_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\encnet_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\encnet_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\fast_scnn.py	/^            type='FCNHead',$/;"	v
type	.\configs\_base_\models\fast_scnn.py	/^        type='DepthwiseSeparableFCNHead',$/;"	v
type	.\configs\_base_\models\fast_scnn.py	/^        type='FastSCNN',$/;"	v
type	.\configs\_base_\models\fast_scnn.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\fcn_hr18.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\fcn_hr18.py	/^        type='HRNet',$/;"	v
type	.\configs\_base_\models\fcn_hr18.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\fcn_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\fcn_r50-d8.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\fcn_r50-d8.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        type='UNet',$/;"	v
type	.\configs\_base_\models\fcn_unet_s5-d16.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\fpn_r50.py	/^        type='FPN',$/;"	v
type	.\configs\_base_\models\fpn_r50.py	/^        type='FPNHead',$/;"	v
type	.\configs\_base_\models\fpn_r50.py	/^        type='ResNetV1c',$/;"	v
type	.\configs\_base_\models\fpn_r50.py	/^    type='EncoderDecoder',$/;"	v
type	.\configs\_base_\models\gcnet_r50-d8.py	/^        type='FCNHead',$/;"	v
type	.\configs\_base_\models\gcnet_r50-d8.py	/^        type='GCHead',$/;"	v
type	.\configs\_base_\models\gcnet_r50-d8.py	/^        type='ResNetV1c',$/;"	v
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un_gz	.\tools\convert_datasets\stare.py	/^def un_gz(src, dst):$/;"	f
upsample_cfg	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        upsample_cfg=dict(type='InterpConv'),$/;"	v
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upsample_cfg	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        upsample_cfg=dict(type='InterpConv'),$/;"	v
upsampling_method	.\configs\_base_\models\setr_naive_pup.py	/^        upsampling_method='bilinear',$/;"	v
upsampling_method	.\configs\foodnet\SETR_Naive_768x768_80k_Recipe1M_bs_8_base_224.py	/^            upsampling_method='bilinear',$/;"	v
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url	.\docs\stat.py	/^    url = osp.dirname(f.replace('..\/', url_prefix))$/;"	v
url_prefix	.\docs\stat.py	/^url_prefix = 'https:\/\/github.com\/open-mmlab\/mmsegmentation\/blob\/master\/'$/;"	v
urlparse	.\mmseg\models\backbones\helpers.py	/^from urllib.parse import urlparse  # noqa: F401$/;"	i
use_scale	.\configs\_base_\models\dnl_r50-d8.py	/^        use_scale=True,$/;"	v
use_scale	.\configs\_base_\models\nonlocal_r50-d8.py	/^        use_scale=True,$/;"	v
use_se_loss	.\configs\_base_\models\encnet_r50-d8.py	/^        use_se_loss=True,$/;"	v
use_sigmoid	.\configs\_base_\models\cgnet.py	/^            use_sigmoid=False,$/;"	v
utils	.\mmseg\models\backbones\cgnet.py	/^import torch.utils.checkpoint as cp$/;"	i
utils	.\mmseg\models\backbones\helpers.py	/^import torch.utils.model_zoo as model_zoo$/;"	i
utils	.\mmseg\models\backbones\resnest.py	/^import torch.utils.checkpoint as cp$/;"	i
utils	.\mmseg\models\backbones\resnet.py	/^import torch.utils.checkpoint as cp$/;"	i
utils	.\mmseg\models\backbones\unet.py	/^import torch.utils.checkpoint as cp$/;"	i
utils	.\mmseg\models\decode_heads\helpers.py	/^import torch.utils.model_zoo as model_zoo$/;"	i
val	.\configs\_base_\datasets\FoodSeg103.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\Recipe1M_768x768.py	/^    val=dict(pipeline=test_pipeline),$/;"	v
val	.\configs\_base_\datasets\ade20k.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\chase_db1.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\cityscapes.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\cityscapes_769x769.py	/^    val=dict(pipeline=test_pipeline),$/;"	v
val	.\configs\_base_\datasets\drive.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\hrf.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\pascal_context.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\pascal_voc12.py	/^    val=dict($/;"	v
val	.\configs\_base_\datasets\stare.py	/^    val=dict($/;"	v
val	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^    val=dict($/;"	v
val	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^    val=dict(pipeline=test_pipeline),$/;"	v
val_step	.\mmseg\models\segmentors\base.py	/^    def val_step(self, data_batch, **kwargs):$/;"	m	class:BaseSegmentor
verify	.\tools\pytorch2onnx.py	/^        verify=args.verify)$/;"	v
version_file	.\docs\conf.py	/^version_file = '..\/mmseg\/version.py'$/;"	v
version_file	.\setup.py	/^version_file = 'mmseg\/version.py'$/;"	v
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version_info	.\mmseg\version.py	/^version_info = parse_version_info(__version__)$/;"	v
voc_classes	.\mmseg\core\evaluation\class_names.py	/^def voc_classes():$/;"	f
voc_palette	.\mmseg\core\evaluation\class_names.py	/^def voc_palette():$/;"	f
warnings	.\mmseg\apis\train.py	/^import warnings$/;"	i
warnings	.\mmseg\datasets\pipelines\test_time_aug.py	/^import warnings$/;"	i
warnings	.\mmseg\models\backbones\helpers.py	/^import warnings$/;"	i
warnings	.\mmseg\models\backbones\layers\weight_init.py	/^import warnings$/;"	i
warnings	.\mmseg\models\builder.py	/^import warnings$/;"	i
warnings	.\mmseg\models\decode_heads\layers\weight_init.py	/^import warnings$/;"	i
warnings	.\mmseg\models\segmentors\base.py	/^import warnings$/;"	i
warnings	.\mmseg\ops\wrappers.py	/^import warnings$/;"	i
weight_reduce_loss	.\mmseg\models\losses\__init__.py	/^from .utils import reduce_loss, weight_reduce_loss, weighted_loss$/;"	i
weight_reduce_loss	.\mmseg\models\losses\cross_entropy_loss.py	/^from .utils import weight_reduce_loss$/;"	i
weight_reduce_loss	.\mmseg\models\losses\lovasz_loss.py	/^from .utils import weight_reduce_loss$/;"	i
weight_reduce_loss	.\mmseg\models\losses\utils.py	/^def weight_reduce_loss(loss, weight=None, reduction='mean', avg_factor=None):$/;"	f
weight_reduce_loss	.\tests\test_models\test_losses.py	/^from mmseg.models.losses import Accuracy, reduce_loss, weight_reduce_loss$/;"	i
weighted_loss	.\mmseg\models\losses\__init__.py	/^from .utils import reduce_loss, weight_reduce_loss, weighted_loss$/;"	i
weighted_loss	.\mmseg\models\losses\utils.py	/^def weighted_loss(loss_func):$/;"	f
whole_inference	.\mmseg\models\segmentors\encoder_decoder.py	/^    def whole_inference(self, img, img_meta, rescale):$/;"	m	class:EncoderDecoder
widen_factor	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	/^        widen_factor=1.,$/;"	v
widen_factor	.\configs\mobilenet_v2\deeplabv3_m-v2-d8_512x512_160k_ade20k.py	/^        widen_factor=1.,$/;"	v
widen_factor	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	/^        widen_factor=1.,$/;"	v
widen_factor	.\configs\mobilenet_v2\deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	/^        widen_factor=1.,$/;"	v
widen_factor	.\configs\mobilenet_v2\fcn_m-v2-d8_512x1024_80k_cityscapes.py	/^        widen_factor=1.,$/;"	v
widen_factor	.\configs\mobilenet_v2\fcn_m-v2-d8_512x512_160k_ade20k.py	/^        widen_factor=1.,$/;"	v
widen_factor	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x1024_80k_cityscapes.py	/^        widen_factor=1.,$/;"	v
widen_factor	.\configs\mobilenet_v2\pspnet_m-v2-d8_512x512_160k_ade20k.py	/^        widen_factor=1.,$/;"	v
with_auxiliary_head	.\mmseg\models\segmentors\base.py	/^    def with_auxiliary_head(self):$/;"	m	class:BaseSegmentor
with_cp	.\configs\_base_\models\deeplabv3_unet_s5-d16.py	/^        with_cp=False,$/;"	v
with_cp	.\configs\_base_\models\fcn_unet_s5-d16.py	/^        with_cp=False,$/;"	v
with_cp	.\configs\_base_\models\pspnet_unet_s5-d16.py	/^        with_cp=False,$/;"	v
with_decode_head	.\mmseg\models\segmentors\base.py	/^    def with_decode_head(self):$/;"	m	class:BaseSegmentor
with_neck	.\mmseg\models\segmentors\base.py	/^    def with_neck(self):$/;"	m	class:BaseSegmentor
worker_init_fn	.\mmseg\datasets\builder.py	/^def worker_init_fn(worker_id, num_workers, rank, seed):$/;"	f
workers_per_gpu	.\configs\_base_\datasets\FoodSeg103.py	/^    workers_per_gpu=2,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\ade20k.py	/^    workers_per_gpu=4,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\chase_db1.py	/^    workers_per_gpu=4,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\cityscapes.py	/^    workers_per_gpu=2,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\drive.py	/^    workers_per_gpu=4,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\hrf.py	/^    workers_per_gpu=4,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\pascal_context.py	/^    workers_per_gpu=4,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\pascal_voc12.py	/^    workers_per_gpu=4,$/;"	v
workers_per_gpu	.\configs\_base_\datasets\stare.py	/^    workers_per_gpu=4,$/;"	v
workers_per_gpu	.\configs\cgnet\cgnet_512x1024_60k_cityscapes.py	/^    workers_per_gpu=8,$/;"	v
workers_per_gpu	.\configs\cgnet\cgnet_680x680_60k_cityscapes.py	/^    workers_per_gpu=8,$/;"	v
workflow	.\configs\_base_\default_runtime.py	/^workflow = [('train', 1)]$/;"	v
wrapper	.\mmseg\models\losses\utils.py	/^    def wrapper(pred,$/;"	f	function:weighted_loss
xavier_init	.\mmseg\models\necks\fpn.py	/^from mmcv.cnn import ConvModule, xavier_init$/;"	i
zipfile	.\mmseg\models\backbones\helpers.py	/^import zipfile$/;"	i
zipfile	.\tools\convert_datasets\chase_db1.py	/^import zipfile$/;"	i
zipfile	.\tools\convert_datasets\drive.py	/^import zipfile$/;"	i
zipfile	.\tools\convert_datasets\hrf.py	/^import zipfile$/;"	i