first commit

2025-07-02 08:57:16 +03:00
commit 56532cc9a9
1901 changed files with 457695 additions and 0 deletions
--- a/configs/table/SLANeXt_wired.yml
+++ b/configs/table/SLANeXt_wired.yml
@@ -0,0 +1,181 @@
+Global:
+  model_name: SLANeXt_wired # To use static model for inference.
+  use_gpu: true
+  epoch_num: 400
+  log_smooth_window: 20
+  print_batch_step: 20
+  save_model_dir: ./output/SLANeXt_wired
+  save_epoch_step: 400
+  eval_batch_step:
+  - 0
+  - 331
+  cal_metric_during_train: true
+  pretrained_model: "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/SLANeXt_wired_pretrained.pdparams"
+  checkpoints: null
+  save_inference_dir: ./output/SLANeXt_wired/infer
+  use_visualdl: false
+  infer_img: ppstructure/docs/table/table.jpg
+  character_dict_path: ppocr/utils/dict/table_structure_dict_ch.txt
+  character_type: en
+  max_text_length: 500
+  box_format: xyxyxyxy
+  infer_mode: false
+  use_sync_bn: true
+  save_res_path: output/infer
+  d2s_train_image_shape: [3, 512, 512]
+
+Optimizer:
+  name: AdamW
+  beta1: 0.9
+  beta2: 0.999
+  clip_norm: 5.0
+  lr:
+    name: Cosine
+    learning_rate: 0.0001
+    warmup_epoch: 1
+  regularizer:
+    name: L2
+    factor: 0.0
+
+Architecture:
+  model_type: table
+  algorithm: SLANeXt
+  Backbone:
+    name: Vary_VIT_B
+    image_size: 512 
+    encoder_embed_dim: 768
+    encoder_depth: 12
+    encoder_num_heads: 12
+    encoder_global_attn_indexes: [2, 5, 8, 11]
+  Head:
+    name: SLAHead
+    hidden_size: 512
+    max_text_length: 500
+    loc_reg_num: 8
+
+Loss:
+  name: SLALoss
+  structure_weight: 1.0
+  # SLANeXt does not train the cell location task by default, set the loc_weight if needed.
+  loc_weight: 0.0
+  loc_loss: smooth_l1
+
+PostProcess:
+  name: TableLabelDecode
+  merge_no_span_structure: true
+
+Metric:
+  name: TableMetric
+  main_indicator: acc
+  compute_bbox_metric: false
+  loc_reg_num: 8
+  box_format: xyxyxyxy
+  del_thead_tbody: true
+
+Train:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/train/
+    label_file_list:
+    - train_data/table/train.txt
+    ratio_list:
+    - 1
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - TableLabelEncode:
+        learn_empty_box: false
+        merge_no_span_structure: true
+        replace_empty_cell_token: false
+        loc_reg_num: 8
+        max_text_length: 500
+    - TableBoxEncode:
+        in_box_format: xyxyxyxy
+        out_box_format: xyxyxyxy
+    - ResizeTableImage:
+        max_len: 512
+        resize_bboxes: true
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - PaddingTableImage:
+        size:
+        - 512
+        - 512
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - structure
+        - bboxes
+        - bbox_masks
+        - length
+        - shape
+  loader:
+    shuffle: true
+    batch_size_per_card: 48
+    drop_last: true
+    num_workers: 1
+
+Eval:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/val/
+    label_file_list:
+    - train_data/table/val.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - TableLabelEncode:
+        learn_empty_box: false
+        merge_no_span_structure: true
+        replace_empty_cell_token: false
+        loc_reg_num: 8
+        max_text_length: 500
+    - TableBoxEncode:
+        in_box_format: xyxyxyxy
+        out_box_format: xyxyxyxy
+    - ResizeTableImage:
+        max_len: 512
+        resize_bboxes: true
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - PaddingTableImage:
+        size:
+        - 512
+        - 512
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - structure
+        - bboxes
+        - bbox_masks
+        - length
+        - shape
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 48
+    num_workers: 1
+
+profiler_options: null
--- a/configs/table/SLANeXt_wireless.yml
+++ b/configs/table/SLANeXt_wireless.yml
@@ -0,0 +1,181 @@
+Global:
+  model_name: SLANeXt_wireless # To use static model for inference.
+  use_gpu: true
+  epoch_num: 400
+  log_smooth_window: 20
+  print_batch_step: 20
+  save_model_dir: ./output/SLANeXt_wireless
+  save_epoch_step: 400
+  eval_batch_step:
+  - 0
+  - 331
+  cal_metric_during_train: true
+  pretrained_model: "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/SLANeXt_wireless_pretrained.pdparams"
+  checkpoints: null
+  save_inference_dir: ./output/SLANeXt_wireless/infer
+  use_visualdl: false
+  infer_img: ppstructure/docs/table/table.jpg
+  character_dict_path: ppocr/utils/dict/table_structure_dict_ch.txt
+  character_type: en
+  max_text_length: 500
+  box_format: xyxyxyxy
+  infer_mode: false
+  use_sync_bn: true
+  save_res_path: output/infer
+  d2s_train_image_shape: [3, 512, 512]
+
+Optimizer:
+  name: AdamW
+  beta1: 0.9
+  beta2: 0.999
+  clip_norm: 5.0
+  lr:
+    name: Cosine
+    learning_rate: 0.0001
+    warmup_epoch: 1
+  regularizer:
+    name: L2
+    factor: 0.0
+
+Architecture:
+  model_type: table
+  algorithm: SLANeXt
+  Backbone:
+    name: Vary_VIT_B
+    image_size: 512 
+    encoder_embed_dim: 768
+    encoder_depth: 12
+    encoder_num_heads: 12
+    encoder_global_attn_indexes: [2, 5, 8, 11]
+  Head:
+    name: SLAHead
+    hidden_size: 512
+    max_text_length: 500
+    loc_reg_num: 8
+
+Loss:
+  name: SLALoss
+  structure_weight: 1.0
+  # SLANeXt does not train the cell location task by default, set the loc_weight if needed.
+  loc_weight: 0.0
+  loc_loss: smooth_l1
+
+PostProcess:
+  name: TableLabelDecode
+  merge_no_span_structure: true
+
+Metric:
+  name: TableMetric
+  main_indicator: acc
+  compute_bbox_metric: false
+  loc_reg_num: 8
+  box_format: xyxyxyxy
+  del_thead_tbody: true
+
+Train:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/train/
+    label_file_list:
+    - train_data/table/train.txt
+    ratio_list:
+    - 1
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - TableLabelEncode:
+        learn_empty_box: false
+        merge_no_span_structure: true
+        replace_empty_cell_token: false
+        loc_reg_num: 8
+        max_text_length: 500
+    - TableBoxEncode:
+        in_box_format: xyxyxyxy
+        out_box_format: xyxyxyxy
+    - ResizeTableImage:
+        max_len: 512
+        resize_bboxes: true
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - PaddingTableImage:
+        size:
+        - 512
+        - 512
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - structure
+        - bboxes
+        - bbox_masks
+        - length
+        - shape
+  loader:
+    shuffle: true
+    batch_size_per_card: 48
+    drop_last: true
+    num_workers: 1
+
+Eval:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/val/
+    label_file_list:
+    - train_data/table/val.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - TableLabelEncode:
+        learn_empty_box: false
+        merge_no_span_structure: true
+        replace_empty_cell_token: false
+        loc_reg_num: 8
+        max_text_length: 500
+    - TableBoxEncode:
+        in_box_format: xyxyxyxy
+        out_box_format: xyxyxyxy
+    - ResizeTableImage:
+        max_len: 512
+        resize_bboxes: true
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - PaddingTableImage:
+        size:
+        - 512
+        - 512
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - structure
+        - bboxes
+        - bbox_masks
+        - length
+        - shape
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 48
+    num_workers: 1
+
+profiler_options: null
--- a/configs/table/SLANet.yml
+++ b/configs/table/SLANet.yml
@@ -0,0 +1,146 @@
+Global:
+  model_name: SLANet # To use static model for inference.
+  use_gpu: true
+  epoch_num: 100
+  log_smooth_window: 20
+  print_batch_step: 20
+  save_model_dir: ./output/SLANet
+  save_epoch_step: 400
+  # evaluation is run every 1000 iterations after the 0th iteration
+  eval_batch_step: [0, 1000]
+  cal_metric_during_train: True
+  pretrained_model: "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/SLANet_pretrained.pdparams"
+  checkpoints:
+  save_inference_dir: ./output/SLANet/infer
+  use_visualdl: False
+  infer_img: ppstructure/docs/table/table.jpg
+  # for data or label process
+  character_dict_path: ppocr/utils/dict/table_structure_dict.txt
+  character_type: en
+  max_text_length: &max_text_length 500
+  box_format: &box_format 'xyxy' # 'xywh', 'xyxy', 'xyxyxyxy'
+  infer_mode: False
+  use_sync_bn: True
+  save_res_path: 'output/infer'
+  d2s_train_image_shape: [3, -1, -1]
+  amp_custom_white_list: ['concat', 'elementwise_sub', 'set_value']
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  clip_norm: 5.0
+  lr:
+    name: Piecewise
+    learning_rate: 0.001
+    decay_epochs : [40, 50]
+    values : [0.001, 0.0001, 0.00005]
+  regularizer:
+    name: 'L2'
+    factor: 0.00000
+
+Architecture:
+  model_type: table
+  algorithm: SLANet
+  Backbone:
+    name: PPLCNet
+    scale: 1.0
+    pretrained: true
+    use_ssld: true
+  Neck:
+    name: CSPPAN
+    out_channels: 96
+  Head:
+    name: SLAHead
+    hidden_size: 256
+    max_text_length: *max_text_length
+    loc_reg_num: &loc_reg_num 4
+
+Loss:
+  name: SLALoss
+  structure_weight: 1.0
+  loc_weight: 2.0
+  loc_loss: smooth_l1
+
+PostProcess:
+  name: TableLabelDecode
+  merge_no_span_structure: &merge_no_span_structure True
+
+Metric:
+  name: TableMetric
+  main_indicator: acc
+  compute_bbox_metric: False
+  loc_reg_num: *loc_reg_num
+  box_format: *box_format
+
+Train:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/pubtabnet/train/
+    label_file_list: [train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: ['image', 'structure', 'bboxes', 'bbox_masks', 'length', 'shape']
+  loader:
+    shuffle: True
+    batch_size_per_card: 48
+    drop_last: True
+    num_workers: 1
+
+Eval:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/pubtabnet/val/
+    label_file_list: [train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: ['image', 'structure', 'bboxes', 'bbox_masks', 'length', 'shape']
+  loader:
+    shuffle: False
+    drop_last: False
+    batch_size_per_card: 48
+    num_workers: 1
--- a/configs/table/SLANet_lcnetv2.yml
+++ b/configs/table/SLANet_lcnetv2.yml
@@ -0,0 +1,139 @@
+Global:
+  use_gpu: true
+  epoch_num: 50
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output/SLANet_lcnetv2
+  save_epoch_step: 20
+  # evaluation is run every 1000 iterations after the 0th iteration
+  eval_batch_step: [0, 1000]
+  cal_metric_during_train: True
+  pretrained_model:
+  checkpoints:
+  save_inference_dir: ./SLANet_lcnetv2_infer
+  use_visualdl: False
+  infer_img: ppstructure/docs/table/table.jpg
+  # for data or label process
+  character_dict_path: ppocr/utils/dict/table_structure_dict.txt
+  character_type: en
+  max_text_length: &max_text_length 500
+  box_format: &box_format 'xyxy' # 'xywh', 'xyxy', 'xyxyxyxy'
+  infer_mode: False
+  use_sync_bn: True
+  save_res_path: 'output/infer'
+  d2s_train_image_shape: [3, -1, -1]
+  amp_custom_white_list: ['concat', 'elementwise_sub', 'set_value']
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  clip_norm: 5.0
+  lr:
+    learning_rate: 0.001
+  regularizer:
+    name: 'L2'
+    factor: 0.00000
+
+Architecture:
+  model_type: table
+  algorithm: SLANet
+  Backbone:
+    name: PPLCNetV2_base
+  Neck:
+    name: CSPPAN
+    out_channels: 96
+  Head:
+    name: SLAHead
+    hidden_size: 256
+    max_text_length: *max_text_length
+    loc_reg_num: &loc_reg_num 4
+
+Loss:
+  name: SLALoss
+  structure_weight: 1.0
+  loc_weight: 2.0
+  loc_loss: smooth_l1
+
+PostProcess:
+  name: TableLabelDecode
+  merge_no_span_structure: &merge_no_span_structure True
+
+Metric:
+  name: TableMetric
+  main_indicator: acc
+  compute_bbox_metric: False
+  loc_reg_num: *loc_reg_num
+  box_format: *box_format
+
+Train:
+  dataset:
+    name: PubTabDataSet
+    data_dir: ../table_data/pubtabnet/train/
+    label_file_list: [../table_data/pubtabnet/PubTabNet_2.0.0_train.jsonl]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: [ 'image', 'structure', 'bboxes', 'bbox_masks', 'length', 'shape' ]
+  loader:
+    shuffle: True
+    batch_size_per_card: 24
+    drop_last: True
+    num_workers: 8
+
+Eval:
+  dataset:
+    name: PubTabDataSet
+    data_dir: ../table_data/pubtabnet/val/
+    label_file_list: [../table_data/pubtabnet/PubTabNet_2.0.0_val.jsonl]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: [ 'image', 'structure', 'bboxes', 'bbox_masks', 'shape' ]
+  loader:
+    shuffle: False
+    drop_last: False
+    batch_size_per_card: 48
+    num_workers: 4
--- a/configs/table/SLANet_plus.yml
+++ b/configs/table/SLANet_plus.yml
@@ -0,0 +1,143 @@
+Global:
+  model_name: SLANet_plus # To use static model for inference.
+  use_gpu: True
+  epoch_num: 400
+  log_smooth_window: 20
+  print_batch_step: 20
+  save_model_dir: ./output/SLANet_plus
+  save_epoch_step: 400
+  # evaluation is run every 331 iterations after the 0th iteration
+  eval_batch_step: [0, 331]
+  cal_metric_during_train: True
+  pretrained_model: "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/SLANet_plus_pretrained.pdparams"
+  checkpoints: 
+  save_inference_dir: ./output/SLANet_plus/infer
+  use_visualdl: False
+  infer_img: ppstructure/docs/table/table.jpg
+  # for data or label process
+  character_dict_path: ppocr/utils/dict/table_structure_dict_ch.txt
+  character_type: en
+  max_text_length: &max_text_length 500
+  box_format: &box_format xyxyxyxy # 'xywh', 'xyxy', 'xyxyxyxy'
+  infer_mode: False
+  use_sync_bn: True
+  save_res_path: output/infer
+  d2s_train_image_shape: [3, 488, 488]
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  clip_norm: 5.0
+  lr:
+    learning_rate: 0.001
+  regularizer:
+    name: 'L2'
+    factor: 0.00000
+
+Architecture:
+  model_type: table
+  algorithm: SLANet
+  Backbone:
+    name: PPLCNet
+    scale: 1.0
+    pretrained: True
+    use_ssld: True
+  Neck:
+    name: CSPPAN
+    out_channels: 96
+  Head:
+    name: SLAHead
+    hidden_size: 256
+    max_text_length: *max_text_length
+    loc_reg_num: &loc_reg_num 8
+
+Loss:
+  name: SLALoss
+  structure_weight: 1.0
+  loc_weight: 2.0
+  loc_loss: smooth_l1
+
+PostProcess:
+  name: TableLabelDecode
+  merge_no_span_structure: &merge_no_span_structure True
+
+Metric:
+  name: TableMetric
+  main_indicator: acc
+  compute_bbox_metric: False
+  loc_reg_num: *loc_reg_num
+  box_format: *box_format
+  del_thead_tbody: True
+
+Train:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/train/
+    label_file_list: [train_data/table/train.txt]
+    transforms:
+      - DecodeImage:
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: ['image', 'structure', 'bboxes', 'bbox_masks', 'length', 'shape']
+  loader:
+    shuffle: True
+    batch_size_per_card: 48
+    drop_last: True
+    num_workers: 1
+
+Eval:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/val/
+    label_file_list: [train_data/table/val.txt]
+    transforms:
+      - DecodeImage:
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: ['image', 'structure', 'bboxes', 'bbox_masks', 'length', 'shape']
+  loader:
+    shuffle: False
+    drop_last: False
+    batch_size_per_card: 48
+    num_workers: 1
--- a/configs/table/table_master.yml
+++ b/configs/table/table_master.yml
@@ -0,0 +1,145 @@
+Global:
+  use_gpu: true
+  epoch_num: 17
+  log_smooth_window: 20
+  print_batch_step: 100
+  save_model_dir: ./output/table_master/
+  save_epoch_step: 17
+  eval_batch_step: [0,  6259]
+  cal_metric_during_train: true
+  pretrained_model: null
+  checkpoints:
+  save_inference_dir: output/table_master/infer
+  use_visualdl: false
+  infer_img: ppstructure/docs/table/table.jpg
+  save_res_path: ./output/table_master
+  character_dict_path: ppocr/utils/dict/table_master_structure_dict.txt
+  infer_mode: false
+  max_text_length: &max_text_length 500
+  box_format: &box_format 'xywh' # 'xywh', 'xyxy', 'xyxyxyxy'
+  d2s_train_image_shape: [3, 480, 480]
+
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    name: MultiStepDecay
+    learning_rate: 0.001
+    milestones: [12, 15]
+    gamma: 0.1
+    warmup_epoch: 0.02
+  regularizer:
+    name: L2
+    factor: 0.0
+
+Architecture:
+  model_type: table
+  algorithm: TableMaster
+  Backbone:
+    name: TableResNetExtra
+    gcb_config:
+      ratio: 0.0625
+      headers: 1
+      att_scale: False
+      fusion_type: channel_add
+      layers: [False, True, True, True]
+    layers: [1,2,5,3]
+  Head:
+    name: TableMasterHead
+    hidden_size: 512
+    headers: 8
+    dropout: 0
+    d_ff: 2024
+    max_text_length: *max_text_length
+    loc_reg_num: &loc_reg_num 4
+
+Loss:
+  name: TableMasterLoss
+  ignore_index: 42 # set to len of dict + 3
+
+PostProcess:
+  name: TableMasterLabelDecode
+  box_shape: pad
+  merge_no_span_structure: &merge_no_span_structure True
+
+Metric:
+  name: TableMetric
+  main_indicator: acc
+  compute_bbox_metric: False
+  box_format: *box_format
+
+Train:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/pubtabnet/train/
+    label_file_list: [train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl]
+    transforms:
+      - DecodeImage:
+          img_mode: BGR
+          channel_first: False
+      - TableMasterLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: True
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - ResizeTableImage:
+          max_len: 480
+          resize_bboxes: True
+      - PaddingTableImage:
+          size: [480, 480]
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.5, 0.5, 0.5]
+          std: [0.5, 0.5, 0.5]
+          order: hwc
+      - ToCHWImage: null
+      - KeepKeys:
+          keep_keys: [image, structure, bboxes, bbox_masks, shape]
+  loader:
+    shuffle: True
+    batch_size_per_card: 10
+    drop_last: True
+    num_workers: 8
+
+Eval:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/pubtabnet/val/
+    label_file_list: [train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl]
+    transforms:
+      - DecodeImage:
+          img_mode: BGR
+          channel_first: False
+      - TableMasterLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: *merge_no_span_structure
+          replace_empty_cell_token: True
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - ResizeTableImage:
+          max_len: 480
+          resize_bboxes: True
+      - PaddingTableImage:
+          size: [480, 480]
+      - TableBoxEncode:
+          in_box_format: *box_format
+          out_box_format: *box_format
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.5, 0.5, 0.5]
+          std: [0.5, 0.5, 0.5]
+          order: hwc
+      - ToCHWImage: null
+      - KeepKeys:
+          keep_keys: [image, structure, bboxes, bbox_masks, shape]
+  loader:
+    shuffle: False
+    drop_last: False
+    batch_size_per_card: 10
+    num_workers: 8
--- a/configs/table/table_mv3.yml
+++ b/configs/table/table_mv3.yml
@@ -0,0 +1,129 @@
+Global:
+  use_gpu: true
+  epoch_num: 400
+  log_smooth_window: 20
+  print_batch_step: 5
+  save_model_dir: ./output/table_mv3/
+  save_epoch_step: 400
+  # evaluation is run every 400 iterations after the 0th iteration
+  eval_batch_step: [0, 400]
+  cal_metric_during_train: True
+  pretrained_model:
+  checkpoints:
+  save_inference_dir:
+  use_visualdl: False
+  infer_img: ppstructure/docs/table/table.jpg
+  save_res_path: output/table_mv3
+  # for data or label process
+  character_dict_path: ppocr/utils/dict/table_structure_dict.txt
+  character_type: en
+  max_text_length: &max_text_length 500
+  box_format: &box_format 'xyxy' # 'xywh', 'xyxy', 'xyxyxyxy'
+  infer_mode: False
+  amp_custom_black_list: ['matmul_v2','elementwise_add']
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  clip_norm: 5.0
+  lr:
+    learning_rate: 0.001
+  regularizer:
+    name: 'L2'
+    factor: 0.00000
+
+Architecture:
+  model_type: table
+  algorithm: TableAttn
+  Backbone:
+    name: MobileNetV3
+    scale: 1.0
+    model_name: small
+    disable_se: true
+  Head:
+    name: TableAttentionHead
+    hidden_size: 256
+    max_text_length: *max_text_length
+    loc_reg_num: &loc_reg_num 4
+
+Loss:
+  name: TableAttentionLoss
+  structure_weight: 100.0
+  loc_weight: 10000.0
+
+PostProcess:
+  name: TableLabelDecode
+
+Metric:
+  name: TableMetric
+  main_indicator: acc
+  compute_bbox_metric: false # cost many time, set False for training
+
+Train:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/pubtabnet/train/
+    label_file_list: [train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: False
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: [ 'image', 'structure', 'bboxes', 'bbox_masks', 'shape' ]
+  loader:
+    shuffle: True
+    batch_size_per_card: 48
+    drop_last: True
+    num_workers: 1
+
+Eval:
+  dataset:
+    name: PubTabDataSet
+    data_dir: train_data/table/pubtabnet/val/
+    label_file_list: [train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - TableLabelEncode:
+          learn_empty_box: False
+          merge_no_span_structure: False
+          replace_empty_cell_token: False
+          loc_reg_num: *loc_reg_num
+          max_text_length: *max_text_length
+      - TableBoxEncode:
+      - ResizeTableImage:
+          max_len: 488
+      - NormalizeImage:
+          scale: 1./255.
+          mean: [0.485, 0.456, 0.406]
+          std: [0.229, 0.224, 0.225]
+          order: 'hwc'
+      - PaddingTableImage:
+          size: [488, 488]
+      - ToCHWImage:
+      - KeepKeys:
+          keep_keys: [ 'image', 'structure', 'bboxes', 'bbox_masks', 'shape' ]
+  loader:
+    shuffle: False
+    drop_last: False
+    batch_size_per_card: 48
+    num_workers: 1