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Functions1,928 in github.com/Gsunshine/Enjoy-Hamburger

⨍ Functions 1,928◇ Types & classes 483↳ Endpoints 1
Method__init__
(self, out_channels=128, align_corners=False, conv_cfg=None
seg_mm/mmseg/models/backbones/bisenetv2.py:454
Method__init__
(self, in_channels=3, detail_channels=(64, 64, 128), semant
seg_mm/mmseg/models/backbones/bisenetv2.py:579
Method__init__
(self, channel, reduction=16, with_cp=False)
seg_mm/mmseg/models/backbones/cgnet.py:27
Method__init__
(self, in_channels, out_channels, dilation=2,
seg_mm/mmseg/models/backbones/cgnet.py:79
Method__init__
(self, num_downsampling)
seg_mm/mmseg/models/backbones/cgnet.py:174
Method__init__
(self, embed_dims, num_heads, feedforward_channels,
seg_mm/mmseg/models/backbones/vit.py:46
Method__init__
(self, arch='small', conv_cfg=None, norm_cfg=dict(type='BN'
seg_mm/mmseg/models/backbones/mobilenet_v3.py:73
Method__init__
(self, inplanes, planes, groups=1, base_wi
seg_mm/mmseg/models/backbones/resnext.py:19
Method__init__
(self, in_channels=3, num_channels=(64, 64, 64, 128), conv_
seg_mm/mmseg/models/backbones/bisenetv1.py:25
Method__init__
(self, in_channels, out_channel, conv_cfg=None,
seg_mm/mmseg/models/backbones/bisenetv1.py:94
Method__init__
(self, backbone_cfg, context_channels=(128, 256, 512), alig
seg_mm/mmseg/models/backbones/bisenetv1.py:147
Method__init__
(self, in_channels, out_channels, conv_cfg=None,
seg_mm/mmseg/models/backbones/bisenetv1.py:224
Method__init__
(self, num_branches, blocks, num_blocks, i
seg_mm/mmseg/models/backbones/hrnet.py:21
Method__init__
(self, in_channels, dw_channels, out_channels,
seg_mm/mmseg/models/backbones/fast_scnn.py:32
Method__init__
(self, in_channels=64, block_channels=(64, 96, 128), out_ch
seg_mm/mmseg/models/backbones/fast_scnn.py:116
Method__init__
(self, higher_in_channels, lower_in_channels, out_channels,
seg_mm/mmseg/models/backbones/fast_scnn.py:215
Method__init__
(self, backbone_cfg, in_channels=3, layer_channels=(512, 20
seg_mm/mmseg/models/backbones/icnet.py:45
Method__init__
(self, embed_dims, num_heads, window_size,
seg_mm/mmseg/models/backbones/swin.py:151
Method__init__
(self, embed_dims, num_heads, feedforward_channels,
seg_mm/mmseg/models/backbones/swin.py:313
Method__init__
(self, embed_dims, num_heads, feedforward_channels,
seg_mm/mmseg/models/backbones/swin.py:409
Method__init__
(self, pretrain_img_size=224, in_channels=3, embed_dims=96,
seg_mm/mmseg/models/backbones/swin.py:518
Method__init__
( self, model_name, features_only=True, pretrained=True, checkpoint_pa
seg_mm/mmseg/models/backbones/timm_backbone.py:28
Method__init__
(self, in_channels, out_channels, conv_cfg=None,
seg_mm/mmseg/models/backbones/erfnet.py:31
Method__init__
(self, channels, drop_rate=0, dilation=1,
seg_mm/mmseg/models/backbones/erfnet.py:89
Method__init__
(self, in_channels, out_channels, conv_cfg=None,
seg_mm/mmseg/models/backbones/erfnet.py:164
Method__init__
(self, widen_factor=1., strides=(1, 2, 2, 2, 1, 2, 1), dila
seg_mm/mmseg/models/backbones/mobilenet_v2.py:53
Method__init__
(self, embed_dims, num_heads, attn_drop=0.,
seg_mm/mmseg/models/backbones/twins.py:53
Method__init__
(self, embed_dims, num_heads, feedforward_channels,
seg_mm/mmseg/models/backbones/twins.py:101
Method__init__
(self, embed_dims, num_heads=8, qkv_bias=False,
seg_mm/mmseg/models/backbones/twins.py:165
Method__init__
(self, embed_dims, num_heads, feedforward_channels,
seg_mm/mmseg/models/backbones/twins.py:271
Method__init__
(self, in_channels, embed_dims=768, stride=1, init_cfg=None)
seg_mm/mmseg/models/backbones/twins.py:326
Method__init__
(self, in_channels=3, embed_dims=[64, 128, 256, 512], patch
seg_mm/mmseg/models/backbones/twins.py:385
Method__init__
(self, inplanes, planes, stride=1, dilatio
seg_mm/mmseg/models/backbones/resnet.py:19
Method__init__
(self, inplanes, planes, stride=1, dilatio
seg_mm/mmseg/models/backbones/resnet.py:108
Method__init__
(self, **kwargs)
seg_mm/mmseg/models/backbones/resnet.py:698
Method__init__
(self, **kwargs)
seg_mm/mmseg/models/backbones/resnet.py:712
Method__init__
(self, key_in_channels, query_in_channels, channels, out_channels, share_key_query, query_dow
seg_mm/mmseg/models/utils/self_attention_block.py:33
Method__init__
(self, channels, ratio=16, conv_cfg=None,
seg_mm/mmseg/models/utils/se_layer.py:27
Method__init__
(self, conv_block, in_channels, skip_channels,
seg_mm/mmseg/models/utils/up_conv_block.py:45
Method__init__
(self, block, inplanes, planes, num_blocks
seg_mm/mmseg/models/utils/res_layer.py:28
Method__init__
(self, in_channels, out_channels, mid_channels,
seg_mm/mmseg/models/utils/inverted_residual.py:129
Method__init__
(self, kernel_size=1, stride=1, dilation=1, padding='corner')
seg_mm/mmseg/models/utils/embed.py:43
Method__init__
(self, in_channels, out_channels, kernel_size=2,
seg_mm/mmseg/models/utils/embed.py:236
Method__init__
(self, in_channels, channels, *, num_class
seg_mm/mmseg/models/decode_heads/decode_head.py:54
Method__init__
(self, **kwargs)
seg_mm/mmseg/models/decode_heads/sep_aspp_head.py:15
Method__init__
(self, pool_scales=(1, 2, 3, 6), **kwargs)
seg_mm/mmseg/models/decode_heads/uper_head.py:24
Method__init__
( self, in_channels, num_layers, num_heads, embed_
seg_mm/mmseg/models/decode_heads/segmenter_mask_head.py:47
Method__init__
(self, in_channels=768, out_channels=[96, 192, 384, 768], r
seg_mm/mmseg/models/decode_heads/dpt_head.py:26
Method__init__
(self, in_channels, act_cfg, norm_cfg, str
seg_mm/mmseg/models/decode_heads/dpt_head.py:111
Method__init__
(self, in_channels, act_cfg, norm_cfg, exp
seg_mm/mmseg/models/decode_heads/dpt_head.py:163
Method__init__
(self, interpolate_mode='bilinear', **kwargs)
seg_mm/mmseg/models/decode_heads/segformer_head.py:23
Method__init__
(self, ratio=1 / 4., pooling_type='att', fusion_types=('cha
seg_mm/mmseg/models/decode_heads/gc_head.py:24
Method__init__
(self, in_channels, channels, conv_cfg, norm_cfg, act_cfg)
seg_mm/mmseg/models/decode_heads/isa_head.py:23
Method__init__
(self, dw_act_cfg=None, **kwargs)
seg_mm/mmseg/models/decode_heads/sep_fcn_head.py:34
Method__init__
(self, feature_strides, **kwargs)
seg_mm/mmseg/models/decode_heads/fpn_head.py:24
Method__init__
(self, dilations, in_channels, channels, conv_cfg, norm_cfg, act_cfg)
seg_mm/mmseg/models/decode_heads/aspp_head.py:23
Method__init__
(self, recurrence=2, **kwargs)
seg_mm/mmseg/models/decode_heads/cc_head.py:25
Method__init__
(self, *arg, temperature, **kwargs)
seg_mm/mmseg/models/decode_heads/dnl_head.py:17
Method__init__
(self, pool_scales=(1, 2, 3, 6), **kwargs)
seg_mm/mmseg/models/decode_heads/psp_head.py:74
Method__init__
(self, num_fcs=3, coarse_pred_each_layer=True, conv_cfg=dic
seg_mm/mmseg/models/decode_heads/point_head.py:67
Method__init__
(self, boundary_threshold=0.1, **kwargs)
seg_mm/mmseg/models/decode_heads/stdc_head.py:19
Method__init__
(self, mla_channels=128, up_scale=4, **kwargs)
seg_mm/mmseg/models/decode_heads/setr_mla_head.py:23
Method__init__
(self, in_channels, num_codes, conv_cfg, norm_cfg, act_cfg)
seg_mm/mmseg/models/decode_heads/enc_head.py:23
Method__init__
(self, scale)
seg_mm/mmseg/models/decode_heads/ocr_head.py:20
Method__init__
(self, in_channels, channels, scale, conv_cfg, norm_cfg, act_cfg)
seg_mm/mmseg/models/decode_heads/ocr_head.py:43
Method__init__
(self, norm_layer=dict(type='LN', eps=1e-6, requires_grad=True), num_convs=1
seg_mm/mmseg/models/decode_heads/setr_up_head.py:28
Method__init__
(self, num_convs=2, kernel_size=3, concat_input=True,
seg_mm/mmseg/models/decode_heads/fcn_head.py:24
Method__init__
(self, *args, **kwargs)
seg_mm/mmseg/models/decode_heads/cascade_decode_head.py:11
Method__init__
(self, pool_scales=(1, 3, 6, 8))
seg_mm/mmseg/models/decode_heads/ann_head.py:19
Method__init__
(self, low_in_channels, high_in_channels, channels, out_channels, share_key_query, query_scal
seg_mm/mmseg/models/decode_heads/ann_head.py:53
Method__init__
(self, in_channels, channels, out_channels, query_scales, key_pool_scales, conv_cfg, norm_cfg
seg_mm/mmseg/models/decode_heads/ann_head.py:151
Method__init__
(self, project_channels, query_scales=(1, ), key_pool_scale
seg_mm/mmseg/models/decode_heads/ann_head.py:199
Method__init__
(self, branch_channels=(32, 64), **kwargs)
seg_mm/mmseg/models/decode_heads/lraspp_head.py:24
Method__init__
(self, filter_sizes=(1, 3, 5, 7), fusion=False, **kwargs)
seg_mm/mmseg/models/decode_heads/dm_head.py:107
Method__init__
(self, mask_size, psa_type='bi-direction', compact=False,
seg_mm/mmseg/models/decode_heads/psa_head.py:36
Method__init__
(self, args=None)
seg_mm/mmseg/models/decode_heads/ham_head.py:12
Method__init__
(self, ham_channels=512, concat_input=True, **kwargs)
seg_mm/mmseg/models/decode_heads/ham_head.py:163
Method__init__
(self, channels, num_bases, num_stages, momentum)
seg_mm/mmseg/models/decode_heads/ema_head.py:32
Method__init__
(self, reduction=2, use_scale=True, mode='embedded_gaussian
seg_mm/mmseg/models/decode_heads/nl_head.py:24
Method__init__
(self, pool_scales=(1, 2, 3, 6), fusion=True, **kwargs)
seg_mm/mmseg/models/decode_heads/apc_head.py:125
Method__init__
(self)
seg_mm/mmseg/models/decode_heads/da_head.py:53
Method__init__
(self, pam_channels, **kwargs)
seg_mm/mmseg/models/decode_heads/da_head.py:86
Method__init__
(self, smooth=1, exponent=2, reduction='mean',
seg_mm/mmseg/models/losses/dice_loss.py:74
Method__init__
(self, loss_type='multi_class', classes='present', per_imag
seg_mm/mmseg/models/losses/lovasz_loss.py:252
Method__init__
Module to calculate the accuracy. Args: topk (tuple, optional): The criterion used to calculate the accuracy. Def
seg_mm/mmseg/models/losses/accuracy.py:59
Method__init__
(self, use_sigmoid=False, use_mask=False, reduction='mean',
seg_mm/mmseg/models/losses/cross_entropy_loss.py:158
Method__init__
`Focal Loss <https://arxiv.org/abs/1708.02002>`_ Args: use_sigmoid (bool, optional): Whether to the prediction is
seg_mm/mmseg/models/losses/focal_loss.py:139
Method__init__
(self, inplanes, planes, stride=1, dilation=1, downsample=None, previous_dilation=1)
seg/HamNet/network.py:20
Method__init__
(self, weight=None, reduction='none', ignore_index=-1)
seg/HamNet/network.py:169
Method__init__
(self, n_classes, n_layers)
seg/HamNet/network.py:180
Method__init__
(self, dt_split)
seg/HamNet/eval.py:25
Method__init__
(self, split='trainaug', dtype=None, val=True)
seg/HamNet/train.py:68
Method__init__
(self, data_root, split='test')
seg/HamNet/test.py:77
Method__init__
(self, dt_split)
seg/HamNet/test.py:88
Method__init__
(self, data_root, split)
seg/HamNet/dataset.py:88
Method__init__
(self, data_root=settings.DATA_ROOT, split='trainaug')
seg/HamNet/dataset.py:108
Method__init__
(self, exc_info)
seg/HamNet/sync_bn/utils/data/dataloader.py:25
Method__init__
(self, loader)
seg/HamNet/sync_bn/utils/data/dataloader.py:188
Method__init__
(self, dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None, num_workers=0,
seg/HamNet/sync_bn/utils/data/dataloader.py:380
Method__init__
(self, dataset, num_replicas=None, rank=None)
seg/HamNet/sync_bn/utils/data/distributed.py:25
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