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Functions799 in github.com/PKU-ICST-MIPL/FineSports_CVPR2024

↓ 1 callersFunctionsort_by_field
Sort boxes and associated fields according to a scalar field. A common use case is reordering the boxes according to descending scores. Args:
evaluates/utils/np_box_mask_list_ops.py:141
↓ 1 callersFunctionspawn_workers
Use torch.multiprocessing.spawn to launch distributed processes
pipelines/launch.py:20
↓ 1 callersFunctionstep_lr_schedule
Decay the learning rate
models/BLIP/utils.py:14
↓ 1 callersFunctiontie_encoder_decoder_weights
(encoder: nn.Module, decoder: nn.Module, base_model_prefix: str, skip_key:str)
models/BLIP/models/blip_pretrain.py:270
↓ 1 callersFunctiontie_encoder_to_decoder_recursively
( decoder_pointer: nn.Module, encoder_pointer: nn.Module, module_name: str, un
models/BLIP/models/blip_pretrain.py:277
↓ 1 callersMethodto
(self, device)
models/transformer/util/misc.py:337
↓ 1 callersFunctiontrain
(model, data_loader, optimizer, epoch, device)
models/BLIP/train_vqa.py:33
↓ 1 callersFunctiontrain
(model, data_loader, optimizer, epoch, device, config)
models/BLIP/pretrain.py:30
↓ 1 callersFunctiontrain
(model, data_loader, optimizer, epoch, device, config)
models/BLIP/train_retrieval.py:31
↓ 1 callersFunctiontrain
(model, data_loader, optimizer, epoch, device, config)
models/BLIP/train_nlvr.py:33
↓ 1 callersFunctiontrain
(model, data_loader, optimizer, epoch, device)
models/BLIP/train_caption.py:31
↓ 1 callersFunctiontrain_postal_detection
(cfg, model, criterion, data_loader, optimizer, epoch, max_norm, lr_scheduler, writer=None, model_ema=None)
utils/video_action_recognition.py:86
↓ 1 callersFunctiontubelet_out_tube
(tube, i, K)
datasets/basketball_jhmdb_frame.py:27
↓ 1 callersFunctionvalidate_postal_ucf_detection
(cfg, model, criterion, postprocessors, data_loader, epoch, writer, prefix='')
utils/video_action_recognition.py:476
↓ 1 callersFunctionvalidate_postal_ucf_detection_ema
(cfg, model, criterion, postprocessors, data_loader, epoch, writer, prefix='')
utils/video_action_recognition.py:712
↓ 1 callersMethodvalue
(self)
utils/misc.py:72
↓ 1 callersFunctionwarmup_lr_schedule
Warmup the learning rate
models/BLIP/utils.py:8
↓ 1 callersFunctionwindow_reverse
Args: windows: (B*num_windows, window_size, window_size, C) window_size (tuple[int]): Window size H (int): Height of imag
models/backbones/video_swin_transformer.py:72
Method__call__
(self, imgs, target)
datasets/video_transforms.py:165
Method__call__
(self, imgs: list, target: dict)
datasets/video_transforms.py:175
Method__call__
(self, imgs: list, target: dict)
datasets/video_transforms.py:187
Method__call__
(self, imgs: list, target: dict)
datasets/video_transforms.py:214
Method__call__
(self, imgs, target)
datasets/video_transforms.py:240
Method__call__
(self, imgs, target)
datasets/video_transforms.py:257
Method__call__
(self, imgs, target)
datasets/video_transforms.py:269
Method__call__
(self, imgs, target)
datasets/video_transforms.py:276
Method__call__
(self, imgs, target=None)
datasets/video_transforms.py:286
Method__call__
(self, imgs, target)
datasets/video_transforms.py:295
Method__call__
(self, imgs, target)
datasets/video_transforms.py:311
Method__call__
(self, imgs, target)
datasets/video_transforms.py:318
Method__call__
(self, imgs, target)
datasets/video_transforms.py:327
Method__call__
(self, images, target=None)
datasets/video_transforms.py:336
Method__call__
(self, images, target=None)
datasets/video_transforms.py:354
Method__call__
(self, clip, target)
datasets/video_transforms.py:368
Method__call__
(self, images, target)
datasets/video_transforms.py:399
Method__call__
(self, img)
models/BLIP/data/video_dataset.py:23
Method__call__
(self, img)
models/BLIP/transform/randaugment.py:325
Method__getattr__
(self, attr)
utils/misc.py:163
Method__getattr__
(self, attr)
models/transformer/util/misc.py:171
Method__getattr__
(self, attr)
models/BLIP/utils.py:104
Method__getattr__
(self, attr)
models/detr/util/misc.py:171
Method__getitem__
(self, index)
datasets/basketball_jhmdb_frame.py:100
Method__getitem__
(self, index)
models/BLIP/data/video_dataset.py:62
Method__getitem__
(self, index)
models/BLIP/data/flickr30k_dataset.py:39
Method__getitem__
(self, index)
models/BLIP/data/flickr30k_dataset.py:87
Method__getitem__
(self, index)
models/BLIP/data/nocaps_dataset.py:24
Method__getitem__
(self, index)
models/BLIP/data/nlvr_dataset.py:35
Method__getitem__
(self, index)
models/BLIP/data/coco_karpathy_dataset.py:39
Method__getitem__
(self, index)
models/BLIP/data/coco_karpathy_dataset.py:72
Method__getitem__
(self, index)
models/BLIP/data/coco_karpathy_dataset.py:120
Method__getitem__
(self, index)
models/BLIP/data/pretrain_dataset.py:51
Method__getitem__
(self, index)
models/BLIP/data/vqa_dataset.py:40
Method__init__
(self, window_size=20, fmt=None)
utils/misc.py:27
Method__init__
(self, delimiter="\t")
utils/misc.py:152
Method__init__
(self, tensors, mask: Optional[Tensor])
utils/misc.py:367
Method__init__
(self)
utils/utils.py:60
Method__init__
(self, num_batches, meters, prefix="")
utils/utils.py:115
Method__init__
(self, optimizer: torch.optim.Optimizer, t_initial: int, lr
utils/lr_scheduler.py:92
Method__init__
(self, size)
datasets/video_transforms.py:162
Method__init__
(self, min_size: int, max_size: int)
datasets/video_transforms.py:171
Method__init__
(self, size)
datasets/video_transforms.py:183
Method__init__
(self, size)
datasets/video_transforms.py:210
Method__init__
(self, size)
datasets/video_transforms.py:237
Method__init__
(self, size)
datasets/video_transforms.py:254
Method__init__
(self, p=0.5)
datasets/video_transforms.py:266
Method__init__
(self, sizes, max_size=None)
datasets/video_transforms.py:281
Method__init__
(self, max_pad)
datasets/video_transforms.py:292
Method__init__
(self, transforms1, transforms2, p=0.5)
datasets/video_transforms.py:306
Method__init__
(self, *args, **kwargs)
datasets/video_transforms.py:324
Method__init__
(self, mean, std)
datasets/video_transforms.py:332
Method__init__
(self, mean, std)
datasets/video_transforms.py:350
Method__init__
(self, hue_shift=20.0, sat_shift=0.1, val_shift=0.1)
datasets/video_transforms.py:362
Method__init__
(self, transforms)
datasets/video_transforms.py:396
Method__init__
(self, directory, video_path, transforms, clip_len=8, crop_size=224, resize_size=256, mode='t
datasets/basketball_jhmdb_frame.py:48
Method__init__
(self, pretrained_path)
models/postal_basketball.py:22
Method__init__
(self, train_backbone: bool, num_channels: int, position_embedding, cfg)
models/backbone_builder.py:30
Method__init__
(self, in_channels, out_channels, kernel_size=(1, 1, 1),
models/I3D_Backbone.py:40
Method__init__
(self, kernel_size, stride=None, padding='SAME')
models/I3D_Backbone.py:111
Method__init__
(self, in_channels, out_channels)
models/I3D_Backbone.py:126
Method__init__
(self, I3D_class)
models/I3D_Backbone.py:419
Method__init__
(self, model, decay, device="cpu")
models/ema_model.py:7
Method__init__
Create the criterion. Parameters num_classes: number of object categories, omitting the special no-object category ma
models/criterion.py:18
Method__init__
Create the criterion. Parameters: num_classes: number of object categories, omitting the special no-object category m
models/criterion.py:216
Method__init__
(self, dim, window_size, num_heads, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
models/backbones/video_swin_transformer.py:118
Method__init__
(self, dim, num_heads, window_size=(2,7,7), shift_size=(0,0,0), mlp_ratio=4., qkv_bias=True,
models/backbones/video_swin_transformer.py:207
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
models/backbones/video_swin_transformer.py:299
Method__init__
(self, dim, depth, num_heads, window_size=
models/backbones/video_swin_transformer.py:363
Method__init__
(self, patch_size=(2,4,4), in_chans=3, embed_dim=96, norm_layer=None)
models/backbones/video_swin_transformer.py:436
Method__init__
(self, pretrained=None, pretrained2d=True, patch_size=(4,4,
models/backbones/video_swin_transformer.py:493
Method__init__
(self, in_planes, planes, stride=1, temporal_stride=1, down_sample=None, expansion=2, tempora
models/backbones/ir_CSN_152.py:34
Method__init__
(self, block, sample_size, sample_duration,
models/backbones/ir_CSN_152.py:92
Method__init__
(self, in_planes, planes, stride=1, temporal_stride=1, down_sample=None, expansion=2, tempora
models/backbones/ir_CSN_50.py:31
Method__init__
(self, block, sample_size, sample_duration,
models/backbones/ir_CSN_50.py:89
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
models/transformer/transformer_layers.py:47
Method__init__
(self, dropout=0.0)
models/transformer/transformer_layers.py:122
Method__init__
(self, embed_dim, num_heads, dropout=0.0, bias=True, kdim=None, vdim=None)
models/transformer/transformer_layers.py:170
Method__init__
(self, decoder_layer, num_layers, norm=None)
models/transformer/transformer_layers.py:379
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation='relu')
models/transformer/transformer_layers.py:406
Method__init__
(self, d_model, dropout=0.1, max_len=5000)
models/transformer/transformer_layers.py:450
Method__init__
(self, encoder_layer, num_layers, norm=None)
models/transformer/transformer.py:77
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