|bbox| The coordinates of the image area in the original image, respectively [upper left corner x, upper left corner y, lower right corner x, lower right corner y]. |
|res| OCR or table recognition result of the image area. <br> table: a dict with field descriptions as follows: <br>       `html`: html str of table.<br>        In the code usage mode, set return_ocr_result_in_table=True whrn call can get the detection and recognition results of each text in the table area, corresponding to the following fields: <br>       `boxes`: text detection boxes.<br>       `rec_res`: text recognition results.<br> OCR: A tuple containing the detection boxes and recognition results of each single text. |
| output | The save path of result | ./output/table |
| table_max_len | When the table structure model predicts, the long side of the image | 488 |
| table_model_dir | the path of table structure model | None |
| table_char_dict_path | the dict path of table structure model | ../ppocr/utils/dict/table_structure_dict.txt |
| layout_path_model | The model path of the layout analysis model, which can be an online address or a local path. When it is a local path, layout_label_map needs to be set. In command line mode, use --layout_label_map='{0: "Text", 1: "Title", 2: "List", 3:"Table", 4:"Figure"}' | lp://PubLayNet/ppyolov2_r50vd_dcn_365e_publaynet/config |
| layout_label_map | Layout analysis model model label mapping dictionary path | None |
| model_name_or_path | the model path of VQA SER model | None |
| max_seq_length | the max token length of VQA SER model | 512 |
| label_map_path | the label path of VQA SER model | ./vqa/labels/labels_ser.txt |
|---|---|---|
| output | result save path | ./output/table |
| table_max_len | long side of the image resize in table structure model | 488 |
| table_model_dir | Table structure model inference model path| None |
| table_char_dict_path | The dictionary path of table structure model | ../ppocr/utils/dict/table_structure_dict.txt |
| merge_no_span_structure | In the table recognition model, whether to merge '\<td>' and '\</td>' | False |
| layout_model_dir | Layout analysis model inference model path| None |
| layout_dict_path | The dictionary path of layout analysis model| ../ppocr/utils/dict/layout_publaynet_dict.txt |
| layout_score_threshold | The box threshold path of layout analysis model| 0.5|
| layout_nms_threshold | The nms threshold path of layout analysis model| 0.5|
| vqa_algorithm | vqa model algorithm| LayoutXLM|
| ser_model_dir | Ser model inference model path| None|
| ser_dict_path | The dictionary path of Ser model| ../train_data/XFUND/class_list_xfun.txt|
| mode | structure or vqa | structure |
| image_orientation | Whether to perform image orientation classification in forward | False |
| layout | Whether to perform layout analysis in forward | True |
| table | Whether to perform table recognition in forward | True |
| ocr | Whether to perform ocr for non-table areas in layout analysis. When layout is False, it will be automatically set to False | True |
| structure_version | table structure Model version number, the current model support list is as follows: PP-STRUCTURE support english table structure model | PP-STRUCTURE |
| ocr | Whether to perform ocr for non-table areas in layout analysis. When layout is False, it will be automatically set to False| True |
| recovery | Whether to perform layout recovery in forward| False |
