Method__init__(self, levels, block, in_channels, out_channels, stride=1,
level_root=False, root_dim=0, root
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/pose_dla_dcn.py:169
Method__init__(self, base_name, heads, pretrained, down_ratio, final_kernel,
last_level, head_conv, out_cha
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/pose_dla_dcn.py:429
Method__init__(self, block, layers, heads, head_conv, **kwargs)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_mask_resnet_half.py:232
Method__init__(self, in_channels, out_channels,
kernel_size, stride, padding, dilation=1, deformable_groups
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/DCNv2_1.4/dcn_v2.py:67
Method__init__(
self,
in_channels,
out_channels,
kernel_size,
stride,
paddin
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/DCNv2/dcn_v2.py:97
Method__init__(
self,
spatial_scale,
pooled_size,
output_dim,
no_trans,
grou
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/DCNv2/dcn_v2.py:263
Method__init__(
self,
spatial_scale,
pooled_size,
output_dim,
no_trans,
grou
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/DCNv2/dcn_v2.py:304
Method__init__(self, ipynb=False, theme='black',
num_classes=-1, dataset=None, down_ratio=4)
DocumentUnderstanding/DocXLayout/utils/debugger.py:12
Method__init__(self, module, device_ids=None, output_device=None, dim=0, chunk_sizes=None)
DocumentUnderstanding/DocXLayout/models/data_parallel.py:44
Method__init__(self, levels, block, in_channels, out_channels, stride=1,
level_root=False, root_dim=0, root
DocumentUnderstanding/DocXLayout/models/networks/dlav0_subfield.py:166
Method__init__(self, channels, scales=(1, 2, 4, 8, 16), in_channels=None)
DocumentUnderstanding/DocXLayout/models/networks/dlav0_subfield.py:501
Method__init__(self, base_name, heads,
pretrained=True, down_ratio=4, head_conv=256, convert_onnx=False)
DocumentUnderstanding/DocXLayout/models/networks/dlav0_subfield.py:537
Method__init__(
self,
dataset,
task,
backbone_type,
model_head,
dataset_root
DocumentUnderstanding/GeoLayoutLM/lightning_modules/data_modules/vie_dataset.py:14
Method__init__(self, in_chans=3,
depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], drop_path_rate=0.,
DocumentUnderstanding/GeoLayoutLM/bros/convnext.py:65
Method__init__(
self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0.,
proj_drop=0., w
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:85
Method__init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
dr
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:137
Method__init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
dr
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:193
Method__init__(
self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0.,
proj_drop=0., w
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:231
Method__init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
dr
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:363
Method__init__(self, img_size=[224, 224], patch_size=16, in_chans=3, embed_dim=768, bias=True)
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:399
Method__init__(self, backbone, img_size=[224, 224], feature_size=None, in_chans=3, embed_dim=768)
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:437
Method__init__(self,
img_size=[224, 224],
patch_size=16,
in_chans=3,
DocumentUnderstanding/VGT/object_detection/ditod/VGTbeit.py:554
Method__init__(self, name, out_features, drop_path, img_size, pos_type, merge_type, model_kwargs)
DocumentUnderstanding/VGT/object_detection/ditod/VGTbackbone.py:38