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,
depth,
num_heads,
window_size=7,
mlp_ratio=4.0,
groundingdino/models/GroundingDINO/backbone/swin_transformer.py:361
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, num_pos_feats=64, temperatureH=10000, temperatureW=10000, normalize=False, scale=None
)
groundingdino/models/GroundingDINO/backbone/position_encoding.py:84
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
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 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