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Functions231 in github.com/FudanCVL/MOVE

⨍ Functions 231◇ Types & classes 62
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:74
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:92
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:107
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:132
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:154
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:183
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:201
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:217
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:225
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:231
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:254
Method__call__
(self, imgs, annos)
libs/dataset/transform.py:270
Method__call__
Args: tensor (Tensor): Tensor image of size (C, H, W) to be normalized. Returns: Tensor: Normalized image.
libs/dataset/transform.py:279
Method__call__
(self, imgs)
libs/dataset/transform.py:296
Method__call__
(self, outputs, targets)
libs/models/DMA/loss.py:180
Method__del__
(self)
libs/utils/Logger.py:242
Method__getitem__
(self, idx)
libs/dataset/MOVE.py:516
Method__init__
(self, *args, skip_times=0, **kwargs)
libs/utils/track_progress_rich.py:31
Method__init__
(self, name, mode)
libs/utils/Logger.py:237
Method__init__
(self)
libs/utils/Logger.py:257
Method__init__
(self)
libs/utils/Logger.py:277
Method__init__
(self, class_list=None)
libs/utils/Logger.py:333
Method__init__
(self, maxstep, max_epoch)
libs/utils/Logger.py:471
Method__init__
(self)
libs/utils/Logger.py:482
Method__init__
(self, transform=[])
libs/dataset/transform.py:15
Method__init__
(self, delta=5.0)
libs/dataset/transform.py:70
Method__init__
(self, lower=0.97, upper=1.03)
libs/dataset/transform.py:86
Method__init__
(self)
libs/dataset/transform.py:104
Method__init__
(self)
libs/dataset/transform.py:129
Method__init__
(self, target_size)
libs/dataset/transform.py:147
Method__init__
(self)
libs/dataset/transform.py:213
Method__init__
(self, size)
libs/dataset/transform.py:239
Method__init__
(self, size)
libs/dataset/transform.py:260
Method__init__
(self, mean, std)
libs/dataset/transform.py:275
Method__init__
(self)
libs/dataset/transform.py:293
Method__init__
(self, action_groups_path: str, group_id, train=False)
libs/dataset/MOVE.py:20
Method__init__
(self, data_path=None, train=True, valid=False,
libs/dataset/MOVE.py:136
Method__init__
(self, num_points=12544, oversample_ratio=3.0, importance_sample_ratio=0.75)
libs/models/DMA/loss.py:175
Method__init__
(self, d_model, nhead, dropout=0.0, activation="relu", normalize_before=False)
libs/models/DMA/transformers.py:13
Method__init__
(self, d_model, nhead, dropout=0.0, activation="relu", normalize_before=False)
libs/models/DMA/transformers.py:71
Method__init__
(self, d_model, dim_feedforward=2048, dropout=0.0, activation="relu", normalize_before=False)
libs/models/DMA/transformers.py:134
Method__init__
(self, num_pos_feats=64, temperature=10000, normalize=False, scale=None)
libs/models/DMA/transformers.py:207
Method__init__
(self, hidden_dim)
libs/models/DMA/DMA.py:550
Method__init__
(self, hidden_dim)
libs/models/DMA/DMA.py:610
Method__init__
(self, hidden_dim, num_meta_motion_queries=1, num_q_former_layers=6)
libs/models/DMA/DMA.py:680
Method__init__
(self, hidden_dim, num_layers=3)
libs/models/DMA/DMA.py:818
Method__init__
(self, hidden_dim)
libs/models/DMA/DMA.py:872
Method__init__
(self, hidden_dim)
libs/models/DMA/DMA.py:955
Method__init__
(self, backbone='resnet50')
libs/models/DMA/encoder.py:6
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
libs/models/DMA/resnet.py:17
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
libs/models/DMA/resnet.py:49
Method__init__
(self, dim, window_size, num_heads, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:98
Method__init__
(self, dim, num_heads, window_size=(2,7,7), shift_size=(0,0,0), mlp_ratio=4., qkv_bias=True,
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:188
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:282
Method__init__
(self, dim, depth, num_heads, window_size=
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:348
Method__init__
(self, patch_size=(2,4,4), in_chans=3, embed_dim=96, norm_layer=None)
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:423
Method__init__
(self, pretrained=None, pretrained2d=True, patch_size=(4,4,
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:481
Method__init__
(self, backbone_pretrained: bool, backbone_pretrained_path, train_backbone: bool, **kwargs)
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:644
Method__init__
(self, dim, window_size, num_heads, qkv_bias=True, qk_scale=None, attn_drop=0., proj_drop=0.)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:93
Method__init__
(self, dim, num_heads, window_size=7, shift_size=0, mlp_ratio=4., qkv_bias=True, qk_scale=Non
libs/models/DMA/video_swin_referfomer/swin_transformer.py:178
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:267
Method__init__
(self, dim, depth, num_heads, window_size=
libs/models/DMA/video_swin_referfomer/swin_transformer.py:320
Method__init__
(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:413
Method__init__
(self, pretrain_img_size=224, patch_size=4, in_chans=3,
libs/models/DMA/video_swin_referfomer/swin_transformer.py:474
Method__init__
(self, backbone: nn.Module, strides=[4, 8, 16, 32], num_channels=[96, 192, 384, 768])
libs/models/DMA/video_swin_referfomer/swin_transformer.py:626
Method__init__
(self, name: str, checkpoint: bool = False, pretrained: str = None)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:645
Method__init__
(self, backbone, position_embedding)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:660
Method__len__
(self)
libs/dataset/MOVE.py:746
Method_init_weights
(m)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:576
Functionbinary_entropy_loss
(pred, target, eps=0.001)
libs/utils/loss.py:8
Functionbuild_swin_backbone
(args)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:680
Methodcollect_actions
(current_dict, current_path)
libs/dataset/MOVE.py:105
Methoddevice
(self)
libs/models/DMA/DMA.py:742
Functionfinetune_optimizer
(model)
libs/utils/optimer.py:21
Methodflush
(self)
libs/utils/Logger.py:250
Methodforward
(self, tgt, tgt_mask: Optional[Tensor] = None, tgt_key_padding_mask: Optional[
libs/models/DMA/transformers.py:58
Methodforward
(self, tgt, memory, memory_mask: Optional[Tensor] = None, memory_key_padding_m
libs/models/DMA/transformers.py:120
Methodforward
(self, tgt)
libs/models/DMA/transformers.py:169
Methodforward
(self, x)
libs/models/DMA/transformers.py:195
Methodforward
(self, x, mask=None)
libs/models/DMA/transformers.py:218
Methodforward
(self, query_video, support_video, support_mask, query_mask=None, require_cls=False, oracle_mask=False)
libs/models/DMA/DMA.py:245
Methodforward
(self, q_f32, q_f16, q_f8)
libs/models/DMA/DMA.py:586
Methodforward
(self, q_f32, q_f16, q_f8, motion_p, motion_pe)
libs/models/DMA/DMA.py:635
Methodforward
(self, features, motion_feats, k_shot, num_support_frames)
libs/models/DMA/DMA.py:765
Methodforward
(self, motion1_p, motion1_pe, motion2_p, motion2_pe, require_cls=False)
libs/models/DMA/DMA.py:854
Methodforward
(self, enhance_q_motion_p, enhance_q_motion_pe, f16, f8, f4)
libs/models/DMA/DMA.py:897
Methodforward
(self, enhance_q_motion_p, enhance_q_motion_pe, f16, f8, f4, prior_mask)
libs/models/DMA/DMA.py:984
Methodforward
(self, x)
libs/models/DMA/encoder.py:35
Methodforward
(self, x)
libs/models/DMA/resnet.py:27
Methodforward
(self, x)
libs/models/DMA/resnet.py:62
Methodforward
(self, x)
libs/models/DMA/resnet.py:137
Methodforward
(self, x)
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:29
Methodforward
Forward function. Args: x: input features with shape of (num_windows*B, N, C) mask: (0/-inf) mask with shape of (num_
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:136
Methodforward
Forward function. Args: x: Input feature, tensor size (B, D, H, W, C). mask_matrix: Attention mask for cyclic shift.
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:252
Methodforward
Forward function. Args: x: Input feature, tensor size (B, D, H, W, C).
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:288
Methodforward
Forward function. Args: x: Input feature, tensor size (B, C, D, H, W).
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:390
Methodforward
Forward function.
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:436
Methodforward
Forward function.
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:614
Methodforward
(self, samples: torch.Tensor, num_frames)
libs/models/DMA/video_swin_referfomer/video_swin_transformer.py:676
Methodforward
(self, x)
libs/models/DMA/video_swin_referfomer/swin_transformer.py:41
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