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Functions1,075 in github.com/TonyXuQAQ/RNGDetPlusPlus

⨍ Functions 1,075◇ Types & classes 166
Method__init__
(self, id)
spacenet/lib/graph.py:422
Method__init__
(self, id, explored_end_dis, explored_start_pos, explored_end_pos, marked_length)
spacenet/lib/graph.py:562
Method__init__
(self, gc, rect)
spacenet/lib/graph.py:589
Method__init__
(self, graph, edge_index=None, road_segments=None, edge_id_to_rs_id=None, file_name=None)
spacenet/lib/graph.py:661
Method__init__
(self, x, y)
spacenet/lib/geom.py:5
Method__init__
(self, x, y)
spacenet/lib/geom.py:60
Method__init__
(self, start, end)
spacenet/lib/geom.py:103
Method__init__
(self, start, end)
spacenet/lib/geom.py:172
Method__init__
(self)
spacenet/prepare_dataset/create_label.py:25
Method__init__
(self,x,y,id)
spacenet/prepare_dataset/create_label.py:108
Method__init__
(self,src,dst,id,vertices=None,orientation=None,circle=False)
spacenet/prepare_dataset/create_label.py:133
Method__init__
Creates the matcher Params: cost_class: This is the relative weight of the classification error in the matching cost
spacenet/models/detr/matcher.py:20
Method__init__
(self, detr, freeze_detr=False)
spacenet/models/detr/segmentation_raw.py:13
Method__init__
(self, dim, fpn_dims, context_dim, output_size)
spacenet/models/detr/segmentation_raw.py:78
Method__init__
(self, query_dim, hidden_dim, num_heads, dropout=0.0, bias=True)
spacenet/models/detr/segmentation_raw.py:149
Method__init__
(self, in_planes, planes, stride=1)
spacenet/models/detr/segmentation_raw.py:182
Method__init__
(self, encoder_layer, num_layers, norm=None)
spacenet/models/detr/transformer.py:67
Method__init__
(self, decoder_layer, num_layers, norm=None, return_intermediate=False)
spacenet/models/detr/transformer.py:91
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
spacenet/models/detr/transformer.py:132
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
spacenet/models/detr/transformer.py:192
Method__init__
(self, detr, freeze_detr=False)
spacenet/models/detr/segmentation.py:14
Method__init__
(self, query_dim, hidden_dim, num_heads, dropout=0.0, bias=True)
spacenet/models/detr/segmentation.py:83
Method__init__
(self, args, transformer, dim, nheads ,fpn_dims, output_size)
spacenet/models/detr/segmentation.py:117
Method__init__
(self)
spacenet/models/detr/segmentation.py:237
Method__init__
Initializes the model. Parameters: backbone: torch module of the backbone to be used. See backbone.py transformer: to
spacenet/models/detr/detr.py:23
Method__init__
Create the criterion. Parameters: num_classes: number of object categories, omitting the special no-object category m
spacenet/models/detr/detr.py:95
Method__init__
(self, n)
spacenet/models/detr/backbone.py:25
Method__init__
(self, backbone: nn.Module, train_backbone: bool, num_channels: int, return_interm_layers: bool, history: bool
spacenet/models/detr/backbone.py:57
Method__init__
(self, name: str, train_backbone: bool, return_interm_layers: bool,
spacenet/models/detr/backbone.py:76
Method__init__
(self, num_pos_feats=256)
spacenet/models/detr/position_encoding.py:55
Method__init__
(self, window_size=20, fmt=None)
spacenet/models/util/misc.py:32
Method__init__
(self, delimiter="\t")
spacenet/models/util/misc.py:160
Method__init__
(self, tensors, mask: Optional[Tensor])
spacenet/models/util/misc.py:285
Method__len__
(self)
cityscale/dataset.py:25
Method__len__
(self)
spacenet/dataset.py:25
Method__ne__
(self, other)
cityscale/lib/geom.py:52
Method__ne__
(self, other)
spacenet/lib/geom.py:52
Method__repr
(self)
cityscale/lib/graph.py:557
Method__repr
(self)
spacenet/lib/graph.py:557
Method__repr__
(self)
cityscale/utils/misc.py:302
Method__repr__
(self)
cityscale/utils/transform.py:270
Method__repr__
(self)
cityscale/lib/graph.py:36
Method__repr__
(self)
cityscale/lib/graph.py:76
Method__repr__
(self)
cityscale/lib/geom.py:46
Method__repr__
(self)
cityscale/lib/geom.py:98
Method__repr__
(self)
cityscale/lib/geom.py:167
Method__repr__
(self)
cityscale/models/util/misc.py:303
Method__repr__
(self)
spacenet/utils/misc.py:302
Method__repr__
(self)
spacenet/utils/transform.py:270
Method__repr__
(self)
spacenet/lib/graph.py:36
Method__repr__
(self)
spacenet/lib/graph.py:76
Method__repr__
(self)
spacenet/lib/geom.py:46
Method__repr__
(self)
spacenet/lib/geom.py:98
Method__repr__
(self)
spacenet/lib/geom.py:167
Method__repr__
(self)
spacenet/models/util/misc.py:303
Method__setattr__
(self, key, value)
cityscale/agent.py:14
Method__setattr__
(self, key, value)
cityscale/sampler.py:13
Method__setattr__
(self, key, value)
spacenet/agent.py:14
Method__setattr__
(self, key, value)
spacenet/sampler.py:13
Method__str__
(self)
cityscale/utils/misc.py:79
Method__str__
(self)
cityscale/utils/misc.py:178
Method__str__
(self)
cityscale/utils/regions.py:7
Method__str__
(self)
cityscale/models/util/misc.py:80
Method__str__
(self)
cityscale/models/util/misc.py:179
Method__str__
(self)
spacenet/utils/misc.py:79
Method__str__
(self)
spacenet/utils/misc.py:178
Method__str__
(self)
spacenet/utils/regions.py:7
Method__str__
(self)
spacenet/models/util/misc.py:80
Method__str__
(self)
spacenet/models/util/misc.py:179
Method_get_clones
(self,module, N)
spacenet/models/detr/segmentation.py:150
Method_get_tgt_permutation_idx
(self, indices)
cityscale/models/detr/detr.py:225
Method_get_tgt_permutation_idx
(self, indices)
spacenet/models/detr/detr.py:225
Method_load_from_state_dict
(self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys
cityscale/models/detr/backbone.py:32
Method_load_from_state_dict
(self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys
spacenet/models/detr/backbone.py:32
Method_make_layer
(self, Bottleneck, planes, num_blocks, stride)
cityscale/models/detr/segmentation_raw.py:242
Method_make_layer
(self, Bottleneck, planes, num_blocks, stride)
spacenet/models/detr/segmentation_raw.py:242
Method_pop_not_explored_starting_points
()
cityscale/utils/model_utils.py:341
Method_pop_not_explored_starting_points
()
spacenet/utils/model_utils.py:341
Method_pop_random_patch
(max_iter=5)
cityscale/utils/model_utils.py:412
Method_pop_random_patch
(max_iter=5)
spacenet/utils/model_utils.py:412
Method_pop_road_seg_peak
()
cityscale/utils/model_utils.py:398
Method_pop_road_seg_peak
()
spacenet/utils/model_utils.py:398
Method_pop_search_vertices
()
cityscale/utils/model_utils.py:331
Method_pop_search_vertices
()
spacenet/utils/model_utils.py:331
Method_set_aux_loss
(self, outputs_class, outputs_coord)
cityscale/models/detr/detr.py:81
Method_set_aux_loss
(self, outputs_class, outputs_coord)
spacenet/models/detr/detr.py:81
Method_upsample
(self, x, h, w)
cityscale/models/detr/segmentation.py:149
Method_upsample
(self, x, h, w)
spacenet/models/detr/segmentation.py:153
Method_upsample_add
Upsample and add two feature maps. Args: x: (Variable) top feature map to be upsampled. y: (Variable) lateral feature map.
cityscale/models/detr/segmentation.py:26
Method_upsample_add
(self, x, y)
cityscale/models/detr/segmentation.py:152
Method_upsample_add
Upsample and add two feature maps. Args: x: (Variable) top feature map to be upsampled. y: (Variable) lateral feature map.
spacenet/models/detr/segmentation.py:27
Method_upsample_add
(self, x, y)
spacenet/models/detr/segmentation.py:156
Functionaccuracy
Computes the precision@k for the specified values of k
cityscale/utils/misc.py:432
Functionaccuracy
Computes the precision@k for the specified values of k
cityscale/models/util/misc.py:433
Functionaccuracy
Computes the precision@k for the specified values of k
spacenet/utils/misc.py:432
Functionaccuracy
Computes the precision@k for the specified values of k
spacenet/models/util/misc.py:433
Methodadd
(self,edge)
cityscale/main_val.py:46
Methodadd
(self, other)
cityscale/lib/geom.py:72
Methodadd
(self,edge)
spacenet/main_val.py:46
Methodadd
(self, other)
spacenet/lib/geom.py:72
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