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Functions376 in github.com/IDEA-Research/GroundingDINO

Method__init__
Initializes the model. Parameters: backbone: torch module of the backbone to be used. See backbone.py transformer: tor
groundingdino/models/GroundingDINO/groundingdino.py:54
Method__init__
( self, embed_dim: int = 256, num_heads: int = 8, num_levels: int = 4,
groundingdino/models/GroundingDINO/ms_deform_attn.py:154
Method__init__
( self, dim, window_size, num_heads, qkv_bias=True, qk_scale=N
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:90
Method__init__
( self, dim, num_heads, window_size=7, shift_size=0, mlp_ratio
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:194
Method__init__
(self, dim, norm_layer=nn.LayerNorm)
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:308
Method__init__
( self, dim, depth, num_heads, window_size=7, mlp_ratio=4.0,
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:361
Method__init__
(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:468
Method__init__
( self, pretrain_img_size=224, patch_size=4, in_chans=3, embed_dim=96,
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:530
Method__init__
(self, n)
groundingdino/models/GroundingDINO/backbone/backbone.py:42
Method__init__
( self, backbone: nn.Module, train_backbone: bool, num_channels: int,
groundingdino/models/GroundingDINO/backbone/backbone.py:74
Method__init__
( self, name: str, train_backbone: bool, dilation: bool, return_interm
groundingdino/models/GroundingDINO/backbone/backbone.py:122
Method__init__
( self, num_pos_feats=64, temperatureH=10000, temperatureW=10000, normalize=False, scale=None )
groundingdino/models/GroundingDINO/backbone/position_encoding.py:84
Method__init__
(self, num_pos_feats=256)
groundingdino/models/GroundingDINO/backbone/position_encoding.py:139
Method__init__
(self, window_size=20, fmt=None)
groundingdino/util/misc.py:38
Method__init__
(self, delimiter="\t")
groundingdino/util/misc.py:248
Method__init__
(self, tensors, mask: Optional[Tensor])
groundingdino/util/misc.py:400
Method__init__
(self, num_colors)
groundingdino/util/misc.py:688
Method__init__
(self)
groundingdino/util/utils.py:67
Method__init__
(self)
groundingdino/util/utils.py:276
Method__init__
(self, model, decay=0.9997, device=None)
groundingdino/util/utils.py:474
Method__init__
(self, init_res=0.0, better="large")
groundingdino/util/utils.py:504
Method__init__
(self, init_res=0.0, better="large", use_ema=False)
groundingdino/util/utils.py:539
Method__init__
(self, basergb=[255, 255, 0])
groundingdino/util/visualizer.py:51
Method__init__
(self, coco=None, tokenlizer=None)
groundingdino/util/visualizer.py:96
Method__init__
(self, *args, **kwargs)
groundingdino/util/logger.py:11
Method__init__
(self)
groundingdino/util/time_counter.py:6
Method__init__
(self)
groundingdino/util/time_counter.py:20
Method__init__
(self, name, fmt=":f", val_only=False)
groundingdino/util/time_counter.py:39
Method__init__
( self, model_config_path: str, model_checkpoint_path: str, device: str = "cud
groundingdino/util/inference.py:139
Method__init__
(self, num_select=300, coco_api=None, tokenlizer=None)
demo/test_ap_on_coco.py:69
Method__iter__
(self)
groundingdino/util/slconfig.py:342
Method__len__
(self)
groundingdino/models/registry.py:29
Method__len__
(self)
groundingdino/util/slconfig.py:313
Method__missing__
(self, name)
groundingdino/util/slconfig.py:27
Method__repr__
(self)
groundingdino/datasets/transforms.py:305
Method__repr__
(self)
groundingdino/models/registry.py:23
Method__repr__
(self)
groundingdino/util/slconfig.py:310
Method__repr__
(self)
groundingdino/util/misc.py:466
Method__repr__
(self)
groundingdino/util/utils.py:528
Method__setitem__
(self, name, value)
groundingdino/util/slconfig.py:337
Method__setstate__
(self, state)
groundingdino/util/slconfig.py:386
Method__str__
(self)
groundingdino/util/misc.py:92
Method__str__
(self)
groundingdino/util/misc.py:266
Method__str__
str: the string of the module
groundingdino/util/utils.py:394
Method__str__
(self)
groundingdino/util/utils.py:573
Method__str__
(self)
groundingdino/util/time_counter.py:32
Method__str__
(self)
groundingdino/util/time_counter.py:57
Method_contain_invalid_identifier
(dict_str)
groundingdino/util/slconfig.py:263
Function_dummy
(*args, **kwargs)
groundingdino/models/GroundingDINO/ms_deform_attn.py:410
Method_format_basic_types
(k, v, use_mapping=False)
groundingdino/util/slconfig.py:231
Method_format_dict
(input_dict, outest_level=False)
groundingdino/util/slconfig.py:269
Method_format_list
(k, v, use_mapping=False)
groundingdino/util/slconfig.py:246
Method_indent
(s_, num_spaces)
groundingdino/util/slconfig.py:221
Method_load_from_state_dict
( self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs )
groundingdino/models/GroundingDINO/backbone/backbone.py:49
Method_reset_parameters
(self)
groundingdino/models/GroundingDINO/ms_deform_attn.py:194
Method_set_aux_loss
(self, outputs_class, outputs_coord)
groundingdino/models/GroundingDINO/groundingdino.py:368
Functionaccuracy
Computes the precision@k for the specified values of k
groundingdino/util/misc.py:638
Functionaccuracy_onehot
_summary_ Args: pred (_type_): n, c gt (_type_): n, c
groundingdino/util/misc.py:657
Methodadd_meter
(self, name, meter)
groundingdino/util/misc.py:279
Methodavg
(self)
groundingdino/util/misc.py:72
Methodbackward
(ctx, grad_output)
groundingdino/models/GroundingDINO/ms_deform_attn.py:72
Functionbox_cxcywh_to_xyxy
(x)
groundingdino/util/box_ops.py:9
Functionbuild_groundingdino
(args)
groundingdino/models/GroundingDINO/groundingdino.py:379
Functionbuild_id2posspan_and_caption
Build id2pos_span and caption from category_dict Args: category_dict (dict): category_dict
groundingdino/util/vl_utils.py:90
Methodclear
(self)
groundingdino/util/time_counter.py:9
Functioncollate_fn
(batch)
groundingdino/util/misc.py:383
Methodcompact2origin
(self, idx)
groundingdino/util/utils.py:156
Functioncreate_dummy_class
When a dependency of a class is not available, create a dummy class which throws ImportError when used. Args: klass (str): name
groundingdino/models/GroundingDINO/ms_deform_attn.py:362
Functioncreate_dummy_func
When a dependency of a function is not available, create a dummy function which throws ImportError when used. Args: func (str):
groundingdino/models/GroundingDINO/ms_deform_attn.py:391
Methoddevice
(self)
groundingdino/util/misc.py:460
Methoddump_to_fileobj
(self, obj, file, **kwargs)
groundingdino/util/slio.py:67
Methoddump_to_fileobj
(self, obj, file, **kwargs)
groundingdino/util/slio.py:80
Methoddump_to_path
(self, obj, filepath, mode="w", **kwargs)
groundingdino/util/slio.py:40
Methoddump_to_str
(self, obj, **kwargs)
groundingdino/util/slio.py:33
Methoddump_to_str
(self, obj, **kwargs)
groundingdino/util/slio.py:63
Methoddump_to_str
(self, obj, **kwargs)
groundingdino/util/slio.py:84
Methodfilename
(self)
groundingdino/util/slconfig.py:209
MethodformatMessage
(self, record)
groundingdino/util/logger.py:18
Methodforward
(self, x)
groundingdino/models/GroundingDINO/utils.py:182
Methodforward
_summary_ Args: x (_type_): _description_ text_dict (_type_): _description_ { 'encoded_te
groundingdino/models/GroundingDINO/utils.py:242
Methodforward
(self, encoder_features)
groundingdino/models/GroundingDINO/fuse_modules.py:28
Methodforward
_summary_ Args: v (_type_): bs, n_img, dim l (_type_): bs, n_text, dim attention_mask_v (_type_, optional
groundingdino/models/GroundingDINO/fuse_modules.py:146
Methodforward
(self, v, l, attention_mask_v=None, attention_mask_l=None)
groundingdino/models/GroundingDINO/fuse_modules.py:286
Methodforward
r""" encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): Seq
groundingdino/models/GroundingDINO/bertwarper.py:31
Methodforward
(self, **kw)
groundingdino/models/GroundingDINO/bertwarper.py:175
Methodforward
Input: - srcs: List of multi features [bs, ci, hi, wi] - masks: List of multi masks [bs, hi, wi] - refpoi
groundingdino/models/GroundingDINO/transformer.py:211
Methodforward
Input: - src: [bs, sum(hi*wi), 256] - pos: pos embed for src. [bs, sum(hi*wi), 256] - spatial_shapes: h,w
groundingdino/models/GroundingDINO/transformer.py:482
Methodforward
Input: - tgt: nq, bs, d_model - memory: hw, bs, d_model - pos: hw, bs, d_model - refpoints_un
groundingdino/models/GroundingDINO/transformer.py:633
Methodforward
( self, src, pos, reference_points, spatial_shapes, level_start_index, key_padding_mask=None )
groundingdino/models/GroundingDINO/transformer.py:780
Methodforward
Input: - tgt/tgt_query_pos: nq, bs, d_model -
groundingdino/models/GroundingDINO/transformer.py:868
Methodforward
Args: text_attention_mask: bs, num_token memory_text: bs, num_token, d_model Raises: RuntimeErr
groundingdino/models/GroundingDINO/transformer_vanilla.py:47
Methodforward
( self, src, src_mask: Optional[Tensor] = None, src_key_padding_mask: Optional
groundingdino/models/GroundingDINO/transformer_vanilla.py:101
Methodforward
The forward expects a NestedTensor, which consists of: - samples.tensor: batched images, of shape [batch_size x 3 x H x W] - sam
groundingdino/models/GroundingDINO/groundingdino.py:227
Methodforward
( ctx, value, value_spatial_shapes, value_level_start_index, sampling_
groundingdino/models/GroundingDINO/ms_deform_attn.py:43
Methodforward
Forward Function of MultiScaleDeformableAttention Args: query (torch.Tensor): Query embeddings with shape `(num_q
groundingdino/models/GroundingDINO/ms_deform_attn.py:232
Methodforward
(self, x)
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:38
Methodforward
Forward function. Args: x: input features with shape of (num_windows*B, N, C) mask: (0/-inf) mask with shape of (num_w
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:134
Methodforward
Forward function. Args: x: Input feature, tensor size (B, H*W, C). H, W: Spatial resolution of the input feature.
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:238
Methodforward
Forward function. Args: x: Input feature, tensor size (B, H*W, C). H, W: Spatial resolution of the input feature.
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:314
Methodforward
Forward function. Args: x: Input feature, tensor size (B, H*W, C). H, W: Spatial resolution of the input feature.
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:409
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