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Functions532 in github.com/SebastianJanampa/DT-LSD

⨍ Functions 532◇ Types & classes 90
Method__init__
(self, mean, std)
datasets/transforms.py:330
Method__init__
(self, transforms)
datasets/transforms.py:350
Method__init__
(self, img_folder, ann_file, transforms)
datasets/coco.py:28
Method__init__
(self, name)
models/registry.py:14
Method__init__
(self, x_noise_scale=0.2, y_noise_scale=0.2, w_noise_scale=0.2, h_noise_scale=0.2)
models/dtlsd/utils.py:65
Method__init__
(self, input_dim, hidden_dim, output_dim, num_layers)
models/dtlsd/utils.py:110
Method__init__
(self, d_model=256, nhead=8, num_queries=300, num_encoder_layers=6,
models/dtlsd/deformable_transformer.py:27
Method__init__
(self, decoder_layer, num_layers, norm=None, return_intermediate=False,
models/dtlsd/deformable_transformer.py:470
Method__init__
(self, d_model=256, d_ffn=1024, dropout=0.1, activation="relu",
models/dtlsd/deformable_transformer.py:587
Method__init__
(self, d_model=256, d_ffn=1024, dropout=0.1, activation="relu", n_levels=4,
models/dtlsd/deformable_transformer.py:628
Method__init__
Creates the matcher Params: cost_class: This is the relative weight of the classification error in the matching cost c
models/dtlsd/matcher.py:101
Method__init__
(self, dim, window_size, num_heads, qkv_bias=True, qk_scale=None, attn_drop=0., proj_drop=0.)
models/dtlsd/swin_transformer.py:82
Method__init__
(self, dim, num_heads, window_size=7, shift_size=0, mlp_ratio=4., qkv_bias=True, qk_scale=Non
models/dtlsd/swin_transformer.py:167
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
models/dtlsd/swin_transformer.py:256
Method__init__
(self, dim, depth, num_heads, window_size=
models/dtlsd/swin_transformer.py:309
Method__init__
(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)
models/dtlsd/swin_transformer.py:402
Method__init__
(self, pretrain_img_size=224, patch_size=4, in_chans=3,
models/dtlsd/swin_transformer.py:464
Method__init__
(self, n)
models/dtlsd/backbone.py:45
Method__init__
(self, backbone: nn.Module, train_backbone: bool, num_channels: int, return_interm_indices: list)
models/dtlsd/backbone.py:77
Method__init__
(self, name: str, train_backbone: bool, dilation: bool, ret
models/dtlsd/backbone.py:111
Method__init__
(self, num_pos_feats=64, temperatureH=10000, temperatureW=10000, normalize=False, scale=None)
models/dtlsd/position_encoding.py:67
Method__init__
(self, num_pos_feats=256)
models/dtlsd/position_encoding.py:111
Method__init__
Create the criterion. Parameters: num_classes: number of object categories, omitting the special no-object category m
models/dtlsd/dtlsd.py:287
Method__init__
(self, num_select=100, nms_iou_threshold=-1)
models/dtlsd/dtlsd.py:527
Method__init__
Multi-Scale Deformable Attention Module :param d_model hidden dimension :param n_levels number of feature levels
models/dtlsd/ops/modules/ms_deform_attn.py:31
Method__init__
(self, *args, **kwargs)
evaluation/lcnn/box.py:280
Method__init__
(self, iterable=None, box_class=Box, **box_options)
evaluation/lcnn/box.py:769
Method__init__
(self, msg, enable=True, fmt="%0.3g")
evaluation/lcnn/utils.py:12
Method__init__
(self, rootdir, split)
evaluation/lcnn/datasets.py:18
Method__init__
(self, device, model, optimizer, train_loader, val_loader, out)
evaluation/lcnn/trainer.py:24
Method__init__
(self, backbone)
evaluation/lcnn/models/line_vectorizer.py:16
Method__init__
(self, backbone)
evaluation/lcnn/models/multitask_learner.py:33
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
evaluation/lcnn/models/hourglass_pose.py:17
Method__init__
(self, block, head, depth, num_stacks, num_blocks, num_classes)
evaluation/lcnn/models/hourglass_pose.py:98
Method__init__
(self, window_size=20, fmt=None)
util/misc.py:37
Method__init__
(self, delimiter="\t")
util/misc.py:167
Method__init__
(self, tensors, mask: Optional[Tensor])
util/misc.py:302
Method__init__
(self, num_colors)
util/misc.py:562
Method__init__
(self)
util/utils.py:53
Method__init__
(self)
util/utils.py:175
Method__init__
(self, model, decay=0.9997, device=None)
util/utils.py:374
Method__init__
(self, init_res=0.0, better='large')
util/utils.py:399
Method__init__
(self, init_res=0.0, better='large', use_ema=False)
util/utils.py:434
Method__init__
(self, basergb=[255,255,0])
util/visualizer.py:44
Method__init__
(self)
util/visualizer.py:59
Method__init__
(self, *args, **kwargs)
util/logger.py:10
Method__init__
(self)
util/time_counter.py:5
Method__init__
(self)
util/time_counter.py:19
Method__init__
(self, name, fmt=':f', val_only=False)
util/time_counter.py:37
Method__iter__
(self)
util/slconfig.py:354
Method__len__
(self)
models/registry.py:23
Method__len__
(self)
evaluation/lcnn/datasets.py:27
Method__len__
(self)
util/slconfig.py:325
Method__missing__
(self, name)
util/slconfig.py:30
Method__new__
Due to the way pickling works in python 3, we need to make sure the box config is created as early as possible.
evaluation/lcnn/box.py:271
Function__parallel_handle
(f, q_in, q_out)
evaluation/lcnn/utils.py:70
Method__repr__
(self)
demo.py:32
Method__repr__
(self)
datasets/transforms.py:358
Method__repr__
(self)
models/registry.py:18
Method__repr__
(self)
evaluation/lcnn/box.py:614
Method__repr__
(self)
evaluation/lcnn/box.py:822
Method__repr__
(self)
evaluation/lcnn/box.py:1083
Method__repr__
(self)
evaluation/lcnn/box.py:1109
Method__repr__
(self)
util/slconfig.py:322
Method__repr__
(self)
util/misc.py:364
Method__repr__
(self)
util/utils.py:423
Method__reversed__
(self)
evaluation/lcnn/box.py:624
Method__setitem__
(self, key, value)
evaluation/lcnn/box.py:789
Method__setitem__
(self, name, value)
util/slconfig.py:349
Method__setstate__
(self, state)
evaluation/lcnn/box.py:406
Method__setstate__
(self, state)
util/slconfig.py:397
Method__str__
(self)
evaluation/lcnn/box.py:617
Method__str__
(self)
evaluation/lcnn/box.py:825
Method__str__
(self)
util/misc.py:87
Method__str__
(self)
util/misc.py:186
Method__str__
str: the string of the module
util/utils.py:294
Method__str__
(self)
util/utils.py:469
Method__str__
(self)
util/time_counter.py:31
Method__str__
(self)
util/time_counter.py:55
Method_contain_invalid_identifier
(dict_str)
util/slconfig.py:274
Method_format_basic_types
(k, v, use_mapping=False)
util/slconfig.py:242
Method_format_dict
(input_dict, outest_level=False)
util/slconfig.py:281
Method_format_list
(k, v, use_mapping=False)
util/slconfig.py:257
Method_get_tgt_permutation_idx
(self, indices)
models/dtlsd/dtlsd.py:362
Method_indent
(s_, num_spaces)
util/slconfig.py:232
Function_launch_tensorboard
(board_out, port, out)
evaluation/lcnn/trainer.py:324
Method_load_from_state_dict
(self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys
models/dtlsd/backbone.py:52
Functionaccuracy
Computes the precision@k for the specified values of k
util/misc.py:522
Functionall_gather
Run all_gather on arbitrary picklable data (not necessarily tensors) Args: data: any picklable object Returns: list[data]
util/misc.py:96
Methodavg
(self)
util/misc.py:71
Functionbox_cxcywh_to_xyxy
(x)
util/box_ops.py:9
Methodbox_it_up
(self)
evaluation/lcnn/box.py:959
Functionbox_xyxy_to_cxcywh
(x)
util/box_ops.py:16
Functionbuild
(image_set, args)
datasets/coco.py:150
Functionclean_state_dict
(state_dict)
util/misc.py:581
Functionclean_state_dict
(state_dict)
util/utils.py:22
Methodclear
(self)
evaluation/lcnn/box.py:603
Methodclear
(self)
util/time_counter.py:8
Functioncollate
(batch)
evaluation/lcnn/datasets.py:90
Functioncollate_fn
(batch)
util/misc.py:285
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