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Functions1,143 in github.com/devinxzhang/MFuser

Method__init__
(self, **kwargs)
mmseg/datasets/gta.py:11
Method__init__
(self, transforms, img_scale, img_ratios=None,
mmseg/datasets/pipelines/test_time_aug.py:55
Method__init__
(self, img_scale=None, multiscale_mode='range', ratio_range
mmseg/datasets/pipelines/transforms.py:46
Method__init__
(self, prob=None, direction='horizontal')
mmseg/datasets/pipelines/transforms.py:256
Method__init__
(self, size=None, size_divisor=None, pad_val=0,
mmseg/datasets/pipelines/transforms.py:312
Method__init__
(self, mean, std, to_rgb=True)
mmseg/datasets/pipelines/transforms.py:380
Method__init__
(self, min_value=0, max_value=255)
mmseg/datasets/pipelines/transforms.py:420
Method__init__
(self, clip_limit=40.0, tile_grid_size=(8, 8))
mmseg/datasets/pipelines/transforms.py:469
Method__init__
(self, crop_size, cat_max_ratio=1., ignore_index=255)
mmseg/datasets/pipelines/transforms.py:510
Method__init__
(self, prob, degree, pad_val=0, seg_pad_va
mmseg/datasets/pipelines/transforms.py:592
Method__init__
(self, out_channels=None, weights=(0.299, 0.587, 0.114))
mmseg/datasets/pipelines/transforms.py:672
Method__init__
(self, gamma=1.0)
mmseg/datasets/pipelines/transforms.py:720
Method__init__
(self, scale_factor=1)
mmseg/datasets/pipelines/transforms.py:755
Method__init__
(self, brightness_delta=32, contrast_range=(0.5, 1.5), satu
mmseg/datasets/pipelines/transforms.py:798
Method__init__
(self, to_float32=False, color_type='color', file_client_ar
mmseg/datasets/pipelines/loading.py:33
Method__init__
(self, reduce_zero_label=False, file_client_args=dict(backend='disk'),
mmseg/datasets/pipelines/loading.py:106
Method__init__
(self, transforms)
mmseg/datasets/pipelines/compose.py:19
Method__init__
(self, keys)
mmseg/datasets/pipelines/formating.py:46
Method__init__
(self, keys)
mmseg/datasets/pipelines/formating.py:80
Method__init__
(self, keys, order)
mmseg/datasets/pipelines/formating.py:115
Method__init__
(self, fields=(dict(key='img', stack=True), dict(key='gt_semant
mmseg/datasets/pipelines/formating.py:152
Method__init__
(self, ignore_index=255)
mmseg/datasets/pipelines/formating.py:267
Method__init__
(self, keys, meta_keys=('filename', 'ori_filename', 'ori_shape',
mmseg/datasets/pipelines/formating.py:335
Method__init__
(self, init_cfg=None)
mmseg/models/segmentors/base.py:18
Method__init__
(self, backbone, decode_head, neck=None, a
mmseg/models/segmentors/encoder_decoder.py:28
Method__init__
(self, in_channels, out_channels, num_outs,
mmseg/models/necks/fpn.py:67
Method__init__
(self, out_layers=[3], scales=[4])
mmseg/models/necks/segformer_adapter.py:11
Method__init__
(self, embed_dim, rescales=[4, 2, 1, 0.5], norm_cfg=dict(ty
mmseg/models/necks/featurepyramid.py:69
Method__init__
(self, radix, groups)
mmseg/models/backbones/resnest.py:25
Method__init__
(self, in_channels, channels, kernel_size,
mmseg/models/backbones/resnest.py:60
Method__init__
Bottleneck block for ResNeSt.
mmseg/models/backbones/resnest.py:167
Method__init__
(self, dim, num_heads=8, qkv_bias=False, q
mmseg/models/backbones/mix_transformer.py:49
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_b
mmseg/models/backbones/mix_transformer.py:110
Method__init__
(self, img_size=224, patch_size=7, stride=4,
mmseg/models/backbones/mix_transformer.py:154
Method__init__
(self, img_size=224, patch_size=16, in_chans=3,
mmseg/models/backbones/mix_transformer.py:189
Method__init__
(self, dim=768)
mmseg/models/backbones/mix_transformer.py:442
Method__init__
(self, **kwargs)
mmseg/models/backbones/mix_transformer.py:458
Method__init__
(self, **kwargs)
mmseg/models/backbones/mix_transformer.py:474
Method__init__
(self, **kwargs)
mmseg/models/backbones/mix_transformer.py:490
Method__init__
(self, **kwargs)
mmseg/models/backbones/mix_transformer.py:506
Method__init__
(self, **kwargs)
mmseg/models/backbones/mix_transformer.py:522
Method__init__
(self, **kwargs)
mmseg/models/backbones/mix_transformer.py:538
Method__init__
(self, embed_dims, num_heads, feedforward_channels,
mmseg/models/backbones/vit.py:53
Method__init__
(self, img_size=224, patch_size=16, in_channels=3,
mmseg/models/backbones/vit.py:180
Method__init__
(self, **kwargs)
mmseg/models/backbones/vit.py:477
Method__init__
(self, inplanes, planes, groups=1, base_wi
mmseg/models/backbones/resnext.py:20
Method__init__
(self, inplanes, planes, stride=1, dilatio
mmseg/models/backbones/resnet.py:20
Method__init__
(self, inplanes, planes, stride=1, dilatio
mmseg/models/backbones/resnet.py:109
Method__init__
(self, **kwargs)
mmseg/models/backbones/resnet.py:697
Method__init__
(self, **kwargs)
mmseg/models/backbones/resnet.py:711
Method__init__
(self, channels, num_codes)
mmseg/models/utils/encoding.py:18
Method__init__
(self, key_in_channels, query_in_channels, channels, out_channels, share_key_query, query_dow
mmseg/models/utils/self_attention_block.py:34
Method__init__
(self, channels, ratio=16, conv_cfg=None,
mmseg/models/utils/se_layer.py:27
Method__init__
(self, conv_block, in_channels, skip_channels,
mmseg/models/utils/up_conv_block.py:45
Method__init__
(self, num_feats, row_num_embed=50, col_num_embed=50,
mmseg/models/utils/positional_encoding.py:119
Method__init__
(self, kernel_size=1, stride=1, dilation=1, padding='corner')
mmseg/models/utils/transformer.py:67
Method__init__
(self, in_channels, out_channels, kernel_size=2,
mmseg/models/utils/transformer.py:138
Method__init__
(self, attn_cfgs, feedforward_channels, ffn_dropout=0.0,
mmseg/models/utils/transformer.py:357
Method__init__
(self, *args, post_norm_cfg=dict(type='LN'), **kwargs)
mmseg/models/utils/transformer.py:388
Method__init__
(self, *args, post_norm_cfg=dict(type='LN'), return_interme
mmseg/models/utils/transformer.py:420
Method__init__
(self, encoder=None, decoder=None, init_cfg=None)
mmseg/models/utils/transformer.py:485
Method__init__
(self, *args, return_intermediate=False, **kwargs)
mmseg/models/utils/transformer.py:557
Method__init__
(self, as_two_stage=False, num_feature_levels=4, two_stage_
mmseg/models/utils/transformer.py:650
Method__init__
(self, in_channels=256, feat_channels=64, out_channels=None
mmseg/models/utils/transformer.py:1006
Method__init__
(self, block, inplanes, planes, num_blocks
mmseg/models/utils/res_layer.py:29
Method__init__
(self, in_channels, out_channels, mid_channels,
mmseg/models/utils/inverted_residual.py:129
Method__init__
(self, num_gts, gt_inds, labels)
mmseg/models/utils/assigner.py:17
Method__init__
(self, cls_cost=dict(type='ClassificationCost', weight=1.0), dice_cost=dict(
mmseg/models/utils/assigner.py:61
Method__init__
(self, num_cls)
mmseg/models/utils/assigner.py:170
Method__init__
(self, kernel_size=1, stride=1, dilation=1, padding='corner')
mmseg/models/utils/embed.py:56
Method__init__
(self, in_channels, out_channels, kernel_size=2,
mmseg/models/utils/embed.py:249
Method__init__
(self, size=None, scale_factor=None, mode='nearest',
mmseg/models/utils/wrappers.py:32
Method__init__
(self, in_channels: int, branch_channels: int, out_channels
mmseg/models/utils/ppm.py:154
Method__init__
(self, in_channels, channels, *, num_class
mmseg/models/decode_heads/decode_head.py:49
Method__init__
(self, dilations=(6, 12, 18, 24), **kwargs)
mmseg/models/decode_heads/dlv2_head.py:9
Method__init__
(self, **kwargs)
mmseg/models/decode_heads/sep_aspp_head.py:16
Method__init__
(self, pool_scales=(1, 2, 3, 6), **kwargs)
mmseg/models/decode_heads/uper_head.py:25
Method__init__
(self, **kwargs)
mmseg/models/decode_heads/segformer_head.py:38
Method__init__
(self, **kwargs)
mmseg/models/decode_heads/identity_head.py:23
Method__init__
(self, in_channels, channels, conv_cfg, no
mmseg/models/decode_heads/isa_head.py:27
Method__init__
(self, in_channels, channels, isa_channels,
mmseg/models/decode_heads/isa_head.py:69
Method__init__
(self, text_categories, text_channels, text_embeddings_path, visual_projs_path, vit=False,
mmseg/models/decode_heads/maskclip_head.py:14
Method__init__
(self, feature_strides, **kwargs)
mmseg/models/decode_heads/fpn_head.py:24
Method__init__
(self, dilations, in_channels, channels, conv_cfg, norm_cfg, act_cfg)
mmseg/models/decode_heads/aspp_head.py:24
Method__init__
(self, pool_scales=(1, 2, 3, 6), **kwargs)
mmseg/models/decode_heads/psp_head.py:75
Method__init__
(self, in_channels, feat_channels, out_channels,
mmseg/models/decode_heads/mask2former_head.py:57
Method__init__
(self, mla_channels=128, up_scale=4, **kwargs)
mmseg/models/decode_heads/setr_mla_head.py:23
Method__init__
(self, out_channels, num_queries=100, pixel_decoder=None,
mmseg/models/decode_heads/maskformer_head.py:52
Method__init__
(self, norm_layer=dict(type='LN', eps=1e-6, requires_grad=True), num_convs=1
mmseg/models/decode_heads/setr_up_head.py:28
Method__init__
(self, in_channels, feat_channels, out_channels,
mmseg/models/decode_heads/tqdm_head.py:22
Method__init__
(self, num_convs=2, kernel_size=3, concat_input=True,
mmseg/models/decode_heads/fcn_head.py:25
Method__init__
(self, **kwargs)
mmseg/models/decode_heads/daformer_head.py:121
Method__init__
(self)
mmseg/models/decode_heads/da_head.py:55
Method__init__
(self, pam_channels, **kwargs)
mmseg/models/decode_heads/da_head.py:88
Method__init__
(self, in_channels=[256, 512, 1024, 2048], strides=[4, 8, 16, 32],
mmseg/models/plugins/tqdm_msdeformattn_pixel_decoder.py:17
Method__init__
(self, kernel_size=1, stride=1, dilation=1, padding='corner')
mmseg/models/plugins/transformerlayers.py:99
Method__init__
(self, in_channels=3, embed_dims=768, conv_type='Conv2d',
mmseg/models/plugins/transformerlayers.py:182
Method__init__
(self, in_channels, out_channels, kernel_size=2,
mmseg/models/plugins/transformerlayers.py:310
Method__init__
(self, embed_dims, num_heads, attn_drop=0.,
mmseg/models/plugins/transformerlayers.py:430
Method__init__
(self, attn_cfgs=None, ffn_cfgs=dict( type='FFN',
mmseg/models/plugins/transformerlayers.py:675
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