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Functions4,693 in github.com/AlibabaResearch/AdvancedLiterateMachinery

⨍ Functions 4,693◇ Types & classes 1,647↳ Endpoints 1
Method__init__
( self, *, # begin keyword-only arguments bos="<s>", pad="<pad>", eos
OCR/LevOCR/levt/dictionary.py:35
Method__init__
(self, wrapped_dict, length)
OCR/LevOCR/levt/dictionary.py:426
Method__init__
(self, *args, **kwargs)
OCR/LevOCR/levt/incremental_decoding_utils.py:13
Method__init__
( self, args, no_encoder_attn=False, add_bias_kv=False, add_zero_attn=False )
OCR/LevOCR/levt/transformer_layer.py:286
Method__init__
(self, num_embeddings: int, embedding_dim: int, padding_idx: int)
OCR/LevOCR/levt/positional_embedding.py:44
Method__init__
(self, *args, **kwargs)
OCR/LevOCR/levt/layer_norm.py:39
Method__init__
(self, args, dictionary, embed_tokens, no_encoder_attn=False)
OCR/LevOCR/levt/levenshtein_transformer.py:388
Method__init__
(self, args, dictionary, embed_tokens, no_encoder_attn=False)
OCR/LevOCR/levt/levenshtein_transformer.py:524
Method__init__
(self, p, module_name=None)
OCR/LevOCR/levt/fairseq_dropout.py:16
Method__init__
( self, embed_dim, num_heads, kdim=None, vdim=None, dropout=0.
OCR/LevOCR/levt/multihead_attention.py:26
Method__init__
Creates a lookup table. Args: filename: Path to charset file which maps characters to ids. max_sequence_length: The max l
OCR/LevOCR/abinet/utils.py:21
Method__init__
(self)
OCR/LevOCR/abinet/utils.py:119
Method__init__
(self, config_path, host=True)
OCR/LevOCR/abinet/utils.py:189
Method__init__
(self, max_length, in_channels=512, num_channels=64, h=8, w=32, mode='nearest', **kwargs)
OCR/LevOCR/abinet/model_vision.py:24
Method__init__
(self, embed_dim, num_heads, dropout=0., bias=True, add_bias_kv=False, add_zero_attn=False, kdim=None, vdim=No
OCR/LevOCR/abinet/transformer.py:328
Method__init__
(self, encoder_layer, num_layers, norm=None)
OCR/LevOCR/abinet/transformer.py:596
Method__init__
(self, decoder_layer, num_layers, norm=None)
OCR/LevOCR/abinet/transformer.py:642
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", debug=False)
OCR/LevOCR/abinet/transformer.py:700
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", self_attn=True,
OCR/LevOCR/abinet/transformer.py:768
Method__init__
(self, d_model, dropout=0.1, max_len=5000)
OCR/LevOCR/abinet/transformer.py:869
Method__init__
(self)
OCR/LevOCR/abinet/backbone.py:14
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
OCR/LevOCR/abinet/resnet.py:21
Method__init__
(self, _config, split)
OCR/VLPT-STD/dataset.py:43
Method__init__
(self, config, weight=None)
OCR/VLPT-STD/models/VLPT.py:15
Method__init__
( self, in_features, hidden_features=None, out_features=None, act_laye
OCR/VLPT-STD/models/encoders.py:58
Method__init__
( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_
OCR/VLPT-STD/models/encoders.py:84
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, qk_scal
OCR/VLPT-STD/models/encoders.py:130
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, qk_scal
OCR/VLPT-STD/models/encoders.py:171
Method__init__
(self, config)
OCR/VLPT-STD/models/encoders.py:213
Method__init__
(self, config)
OCR/VLPT-STD/models/encoders.py:295
Method__init__
(self, config)
OCR/VLPT-STD/models/encoders.py:362
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm
OCR/VLPT-STD/models/resnet.py:39
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm
OCR/VLPT-STD/models/resnet.py:85
Method__init__
Description: initialize the class instance
Applications/DocXChain/modules/text_recognition.py:23
Method__init__
Description: initialize the class instance
Applications/DocXChain/modules/text_detection.py:24
Method__init__
Description: initialize the class instance
Applications/DocXChain/modules/layout_analysis.py:22
Method__init__
Description: initialize the class instance
Applications/DocXChain/modules/table_structure_recognition.py:26
Method__init__
Description: initialize the class instance
Applications/DocXChain/modules/formula_recognition.py:20
Method__init__
Description: initialize the class instance
Applications/DocXChain/pipelines/general_text_reading.py:22
Method__init__
Description: initialize the class instance
Applications/DocXChain/pipelines/table_parsing.py:23
Method__init__
Description: initialize the class instance
Applications/DocXChain/pipelines/document_structurization.py:25
Method__init__
(self, opt, dataset, pre_process_func)
DocumentUnderstanding/LORE-TSR/src/test.py:26
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/opts.py:10
Method__init__
(self, entries)
DocumentUnderstanding/LORE-TSR/src/lib/opts.py:462
Method__init__
Create a summary writer logging to log_dir.
DocumentUnderstanding/LORE-TSR/src/lib/logger.py:18
Method__init__
(self, ipynb=False, theme='black', num_classes=-1, dataset=None, down_ratio=4)
DocumentUnderstanding/LORE-TSR/src/lib/utils/debugger.py:9
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/utils/utils.py:14
Method__init__
(self, pred_table, gt_table)
DocumentUnderstanding/LORE-TSR/src/lib/utils/eval_utils.py:59
Method__init__
(self, bbox_path, axis_path, file_name)
DocumentUnderstanding/LORE-TSR/src/lib/utils/eval_utils.py:153
Method__init__
(self, bbox, axis)
DocumentUnderstanding/LORE-TSR/src/lib/utils/eval_utils.py:218
Method__init__
(self, bbox)
DocumentUnderstanding/LORE-TSR/src/lib/utils/eval_utils.py:228
Method__init__
(self, opt, model, loss, processor=None)
DocumentUnderstanding/LORE-TSR/src/lib/trains/base_trainer.py:15
Method__init__
(self, opt, model, optimizer=None, processor=None)
DocumentUnderstanding/LORE-TSR/src/lib/trains/ctdet.py:104
Method__init__
(self, opt)
DocumentUnderstanding/LORE-TSR/src/lib/detectors/ctdet.py:26
Method__init__
(self, opt)
DocumentUnderstanding/LORE-TSR/src/lib/detectors/base_detector.py:18
Method__init__
(self, opt, split)
DocumentUnderstanding/LORE-TSR/src/lib/datasets/dataset/table_small.py:23
Method__init__
(self, opt, split)
DocumentUnderstanding/LORE-TSR/src/lib/datasets/dataset/table_mid.py:23
Method__init__
(self, opt, split)
DocumentUnderstanding/LORE-TSR/src/lib/datasets/dataset/table.py:23
Method__init__
(self, opt)
DocumentUnderstanding/LORE-TSR/src/lib/models/classifier.py:52
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/losses.py:55
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/losses.py:74
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/losses.py:89
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/losses.py:98
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/losses.py:110
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/losses.py:150
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/losses.py:164
Method__init__
(self, input_size, hidden_size, N, heads, dropout)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:12
Method__init__
(self, hidden_size, output_size)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:35
Method__init__
(self, input_size, hidden_size, output_size, n_layers, heads, dropout)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:49
Method__init__
(self, heads, d_model, dropout = 0.1)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:144
Method__init__
(self, d_model, d_ff=2048, dropout = 0.1)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:201
Method__init__
(self, vocab_size, d_model)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:217
Method__init__
(self, d_model, max_seq_len = 900, dropout = 0.1)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:225
Method__init__
(self, d_model, heads, dropout=0.1)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:253
Method__init__
(self, d_model, heads, dropout=0.1)
DocumentUnderstanding/LORE-TSR/src/lib/models/transformer.py:283
Method__init__
(self, module, device_ids=None, output_device=None, dim=0, chunk_sizes=None)
DocumentUnderstanding/LORE-TSR/src/lib/models/data_parallel.py:44
Method__init__
(self, in_planes, ratio=16)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_resnet_half.py:35
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_resnet_half.py:55
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_resnet_half.py:102
Method__init__
(self, block, layers, heads, head_conv, **kwargs)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_resnet_half.py:142
Method__init__
(self, in_planes, ratio=16)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_mask_resnet.py:56
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_mask_resnet.py:76
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_mask_resnet.py:126
Method__init__
(self, block, layers, heads, head_conv, **kwargs)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_mask_resnet.py:166
Method__init__
(self, inplanes, planes, stride=1, dilation=1)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:29
Method__init__
(self, inplanes, planes, stride=1, dilation=1)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:62
Method__init__
(self, inplanes, planes, stride=1, dilation=1)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:104
Method__init__
(self, in_channels, out_channels, kernel_size, residual)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:145
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/dlav0.py:166
Method__init__
(self)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:421
Method__init__
(self, node_kernel, out_dim, channels, up_factors)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:441
Method__init__
(self, channels, scales=(1, 2, 4, 8, 16), in_channels=None)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:500
Method__init__
(self, base_name, heads, pretrained=True, down_ratio=4, head_conv=256)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/dlav0.py:534
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/resnet_dcn.py:73
Method__init__
(self, block, layers, heads, head_conv)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/resnet_dcn.py:132
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_resnet.py:69
Method__init__
(self, block, layers, heads, head_conv, **kwargs)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/fpn_resnet.py:109
Method__init__
(self, inplanes, planes, stride=1, dilation=1)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/pose_dla_dcn.py:32
Method__init__
(self, inplanes, planes, stride=1, dilation=1)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/pose_dla_dcn.py:65
Method__init__
(self, inplanes, planes, stride=1, dilation=1)
DocumentUnderstanding/LORE-TSR/src/lib/models/networks/pose_dla_dcn.py:107
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