| Global: |
| use_gpu: true |
| epoch_num: 17 |
| log_smooth_window: 20 |
| print_batch_step: 100 |
| output_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' |
| 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 |
|
|
| 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 |
