表格识别出现IndexError: list index out of range #12708

beetter · 2024-02-05T03:27:14Z

beetter
Feb 5, 2024

请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem

系统环境/System Environment：ubuntu22.04
版本号/Version：Paddle： PaddleOCR：问题相关组件/Related components：
motmetrics 1.4.0
networkx 3.1
numpy 1.23.5
opencv-contrib-python 4.6.0.66
opencv-python 4.5.5.64
openpyxl 3.1.2
opt-einsum 3.3.0
packaging 23.2
paddle-bfloat 0.1.7
paddlepaddle-gpu 2.4.2.post117
pandas 2.0.3
Pillow 9.5.0
pip 23.3.1
Polygon3 3.0.9.1
premailer 3.10.0
protobuf 3.20.0
psutil 5.9.7
pyclipper 1.3.0.post5
pycocotools 2.0.7
pycryptodome 3.20.0
PyMuPDF 1.20.2
pyparsing 3.1.1
python-dateutil 2.8.2
pytz 2023.3.post1
PyWavelets 1.4.1
PyYAML 6.0.1
rapidfuzz 3.6.1
运行指令/Command Code：
python3 tools/train.py -c ch_ppstructure_mobile_v2.0_SLANet_train/config.yml
完整报错/Complete Error Message：
[2024/02/05 03:14:50] ppocr ERROR: When parsing line {"filename": "bztable926.jpg", "html": {"structure": {"tokens": ["", "", "", "", "<td", " colspan="2"", ">", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="3"", ">", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "<td", " rowspan="1"", ">", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="2"", ">", "", "<td", " colspan="5"", ">", "", "", "", "", "", "<td", " colspan="2"", ">", "", "<td", " colspan="5"", ">", "", "", "", "", "", "<td", " colspan="2"", ">", "", "<td", " colspan="4"", ">", "", "", "", "", "", "<td", " rowspan="3"", ">", "", "<td", " colspan="2"", ">", "", "", "", "<td", " colspan="3"", ">", "", "", "", "", "", "", "", "", "", "", "", "<td", " colspan="3"", ">", "", "", "", "", "", "<td", " colspan="2"", ">", "", "<td", " colspan="5"", ">", "", "", ""]}, "cells": [{"tokens": ["工", "程", "名", "称"], "bbox": [[48, 29], [198, 29], [198, 72], [48, 72]]}, {"tokens": [], "bbox": [[294, 29], [403, 29], [403, 70], [294, 70]]}, {"tokens": ["结", "构", "类", "型"], "bbox": [[464, 29], [613, 29], [613, 71], [464, 71]]}, {"tokens": [], "bbox": [[684, 29], [825, 29], [825, 70], [684, 70]]}, {"tokens": ["层", "数"], "bbox": [[914, 26], [995, 26], [995, 72], [914, 72]]}, {"tokens": [], "bbox": [[1105, 33], [1194, 33], [1194, 63], [1105, 63]]}, {"tokens": ["施", "工", "单", "位"], "bbox": [[49, 89], [197, 89], [197, 130], [49, 130]]}, {"tokens": [], "bbox": [[284, 94], [403, 94], [403, 131], [284, 131]]}, {"tokens": ["技", "术", "负", "责", "人"], "bbox": [[446, 89], [632, 89], [632, 130], [446, 130]]}, {"tokens": [], "bbox": [[692, 92], [808, 92], [808, 126], [692, 126]]}, {"tokens": ["质", "量", "负", "责", "人"], "bbox": [[867, 89], [1047, 89], [1047, 130], [867, 130]]}, {"tokens": [], "bbox": [[1099, 94], [1207, 94], [1207, 124], [1099, 124]]}, {"tokens": ["序", "号"], "bbox": [[29, 171], [120, 171], [120, 217], [29, 217]]}, {"tokens": ["子", "分", "部", "（", "分", "项", "）", "工", "程", "名", "称"], "bbox": [[132, 173], [571, 173], [571, 212], [132, 212]]}, {"tokens": ["（", "粉", "托", ")", "数"], "bbox": [[594, 145], [849, 145], [849, 237], [594, 237]]}, {"tokens": ["1", "4", "7", "4", "7"], "bbox": [[881, 145], [1049, 145], [1049, 239], [881, 239]]}, {"tokens": ["验", "收", "意", "见"], "bbox": [[1092, 171], [1236, 171], [1236, 213], [1092, 213]]}, {"tokens": ["1"], "bbox": [[54, 641], [83, 641], [83, 678], [54, 678]]}, {"tokens": [], "bbox": [[151, 261], [203, 261], [203, 298], [151, 298]]}, {"tokens": [], "bbox": [[295, 266], [481, 266], [481, 294], [295, 294]]}, {"tokens": [], "bbox": [[649, 268], [773, 268], [773, 300], [649, 300]]}, {"tokens": [], "bbox": [[916, 268], [1010, 268], [1010, 289], [916, 289]]}, {"tokens": [], "bbox": [[1125, 268], [1158, 268], [1158, 283], [1125, 283]]}, {"tokens": [], "bbox": [[164, 329], [207, 329], [207, 353], [164, 353]]}, {"tokens": [], "bbox": [[301, 329], [453, 329], [453, 361], [301, 361]]}, {"tokens": [], "bbox": [[681, 329], [775, 329], [775, 350], [681, 350]]}, {"tokens": [], "bbox": [[934, 322], [977, 322], [977, 340], [934, 340]]}, {"tokens": [], "bbox": [[1105, 322], [1194, 322], [1194, 346], [1105, 346]]}, {"tokens": [], "bbox": [[134, 385], [197, 385], [197, 407], [134, 407]]}, {"tokens": [], "bbox": [[327, 372], [455, 372], [455, 405], [327, 405]]}, {"tokens": [], "bbox": [[673, 377], [794, 377], [794, 407], [673, 407]]}, {"tokens": [], "bbox": [[908, 377], [973, 377], [973, 405], [908, 405]]}, {"tokens": [], "bbox": [[1110, 372], [1186, 372], [1186, 403], [1110, 403]]}, {"tokens": [], "bbox": [[138, 437], [197, 437], [197, 461], [138, 461]]}, {"tokens": [], "bbox": [[310, 437], [445, 437], [445, 466], [310, 466]]}, {"tokens": [], "bbox": [[608, 440], [782, 440], [782, 468], [608, 468]]}, {"tokens": [], "bbox": [[895, 433], [1032, 433], [1032, 466], [895, 466]]}, {"tokens": [], "bbox": [[1090, 439], [1182, 439], [1182, 466], [1090, 466]]}, {"tokens": [], "bbox": [[157, 494], [199, 494], [199, 533], [157, 533]]}, {"tokens": [], "bbox": [[334, 496], [473, 496], [473, 535], [334, 535]]}, {"tokens": [], "bbox": [[651, 498], [790, 498], [790, 522], [651, 522]]}, {"tokens": [], "bbox": [[901, 498], [975, 498], [975, 522], [901, 522]]}, {"tokens": [], "bbox": [[1090, 494], [1160, 494], [1160, 520], [1090, 520]]}, {"tokens": [], "bbox": [[142, 557], [223, 557], [223, 590], [142, 590]]}, {"tokens": [], "bbox": [[349, 559], [458, 559], [458, 579], [349, 579]]}, {"tokens": [], "bbox": [[658, 553], [801, 553], [801, 587], [658, 587]]}, {"tokens": [], "bbox": [[901, 557], [1045, 557], [1045, 590], [901, 590]]}, {"tokens": [], "bbox": [[1110, 555], [1201, 555], [1201, 581], [1110, 581]]}, {"tokens": [], "bbox": [[140, 618], [186, 618], [186, 646], [140, 646]]}, {"tokens": [], "bbox": [[332, 611], [484, 611], [484, 646], [332, 646]]}, {"tokens": [], "bbox": [[670, 613], [758, 613], [758, 633], [670, 633]]}, {"tokens": [], "bbox": [[899, 602], [971, 602], [971, 640], [899, 640]]}, {"tokens": [], "bbox": [[1118, 618], [1216, 618], [1216, 646], [1118, 646]]}, {"tokens": [], "bbox": [[149, 674], [220, 674], [220, 707], [149, 707]]}, {"tokens": [], "bbox": [[323, 676], [477, 676], [477, 705], [323, 705]]}, {"tokens": [], "bbox": [[631, 674], [760, 674], [760, 705], [631, 705]]}, {"tokens": [], "bbox": [[908, 666], [994, 666], [994, 698], [908, 698]]}, {"tokens": [], "bbox": [[1107, 672], [1207, 672], [1207, 700], [1107, 700]]}, {"tokens": [], "bbox": [[144, 737], [220, 737], [220, 763], [144, 763]]}, {"tokens": [], "bbox": [[316, 731], [462, 731], [462, 766], [316, 766]]}, {"tokens": [], "bbox": [[620, 727], [731, 727], [731, 763], [620, 763]]}, {"tokens": [], "bbox": [[899, 727], [997, 727], [997, 763], [899, 763]]}, {"tokens": [], "bbox": [[1092, 739], [1197, 739], [1197, 759], [1092, 759]]}, {"tokens": [], "bbox": [[153, 798], [216, 798], [216, 829], [153, 829]]}, {"tokens": [], "bbox": [[345, 794], [473, 794], [473, 822], [345, 822]]}, {"tokens": [], "bbox": [[658, 794], [801, 794], [801, 824], [658, 824]]}, {"tokens": [], "bbox": [[905, 789], [984, 789], [984, 818], [905, 818]]}, {"tokens": [], "bbox": [[1092, 789], [1203, 789], [1203, 815], [1092, 815]]}, {"tokens": [], "bbox": [[145, 850], [216, 850], [216, 877], [145, 877]]}, {"tokens": [], "bbox": [[295, 846], [464, 846], [464, 883], [295, 883]]}, {"tokens": [], "bbox": [[636, 842], [747, 842], [747, 885], [636, 885]]}, {"tokens": [], "bbox": [[903, 848], [1007, 848], [1007, 872], [903, 872]]}, {"tokens": [], "bbox": [[1099, 846], [1192, 846], [1192, 872], [1099, 872]]}, {"tokens": [], "bbox": [[149, 911], [208, 911], [208, 944], [149, 944]]}, {"tokens": [], "bbox": [[351, 915], [473, 915], [473, 950], [351, 950]]}, {"tokens": [], "bbox": [[653, 907], [808, 907], [808, 940], [653, 940]]}, {"tokens": [], "bbox": [[894, 902], [1010, 902], [1010, 935], [894, 935]]}, {"tokens": [], "bbox": [[1101, 905], [1186, 905], [1186, 937], [1101, 937]]}, {"tokens": [], "bbox": [[147, 968], [194, 968], [194, 994], [147, 994]]}, {"tokens": [], "bbox": [[334, 972], [529, 972], [529, 1000], [334, 1000]]}, {"tokens": [], "bbox": [[636, 965], [762, 965], [762, 1005], [636, 1005]]}, {"tokens": [], "bbox": [[890, 961], [1014, 961], [1014, 985], [890, 985]]}, {"tokens": [], "bbox": [[1118, 970], [1205, 970], [1205, 1005], [1118, 1005]]}, {"tokens": [], "bbox": [[147, 1020], [199, 1020], [199, 1048], [147, 1048]]}, {"tokens": [], "bbox": [[331, 1020], [492, 1020], [492, 1053], [331, 1053]]}, {"tokens": [], "bbox": [[651, 1027], [829, 1027], [829, 1050], [651, 1050]]}, {"tokens": [], "bbox": [[877, 1018], [1027, 1018], [1027, 1059], [877, 1059]]}, {"tokens": [], "bbox": [[1092, 1029], [1214, 1029], [1214, 1061], [1092, 1061]]}, {"tokens": ["2"], "bbox": [[56, 1079], [83, 1079], [83, 1119], [56, 1119]]}, {"tokens": ["质", "量", "控", "制", "资", "料"], "bbox": [[178, 1079], [391, 1079], [391, 1115], [178, 1115]]}, {"tokens": [], "bbox": [[608, 1090], [788, 1090], [788, 1120], [608, 1120]]}, {"tokens": [], "bbox": [[1144, 1090], [1220, 1090], [1220, 1116], [1144, 1116]]}, {"tokens": ["3"], "bbox": [[56, 1161], [83, 1161], [83, 1203], [56, 1203]]}, {"tokens": ["安", "全", "检", "测", "力", "报", "验"], "bbox": [[160, 1137], [414, 1137], [414, 1233], [160, 1233]]}, {"tokens": [], "bbox": [[657, 1163], [820, 1163], [820, 1205], [657, 1205]]}, {"tokens": [], "bbox": [[1121, 1163], [1207, 1163], [1207, 1224], [1121, 1224]]}, {"tokens": ["4"], "bbox": [[54, 1248], [85, 1248], [85, 1286], [54, 1286]]}, {"tokens": ["观", "感", "质", "量", "验", "收"], "bbox": [[174, 1241], [393, 1241], [393, 1286], [174, 1286]]}, {"tokens": [], "bbox": [[647, 1248], [907, 1248], [907, 1281], [647, 1281]]}, {"tokens": [], "bbox": [[1108, 1252], [1225, 1252], [1225, 1277], [1108, 1277]]}, {"tokens": ["单", "收"], "bbox": [[27, 1378], [121, 1378], [121, 1489], [27, 1489]]}, {"tokens": ["施", "工", "单", "位"], "bbox": [[208, 1302], [357, 1302], [357, 1346], [208, 1346]]}, {"tokens": ["项", "目", "经", "理"], "bbox": [[501, 1299], [651, 1299], [651, 1346], [501, 1346]]}, {"tokens": [], "bbox": [[744, 1311], [807, 1311], [807, 1333], [744, 1333]]}, {"tokens": ["年", "月", "日"], "bbox": [[981, 1299], [1225, 1299], [1225, 1350], [981, 1350]]}, {"tokens": ["设", "计", "单", "位"], "bbox": [[210, 1362], [357, 1362], [357, 1404], [210, 1404]]}, {"tokens": ["项", "目", "负", "责", "人"], "bbox": [[486, 1362], [669, 1362], [669, 1404], [486, 1404]]}, {"tokens": [], "bbox": [[736, 1365], [820, 1365], [820, 1400], [736, 1400]]}, {"tokens": ["年", "月", "日"], "bbox": [[981, 1357], [1218, 1357], [1218, 1398], [981, 1398]]}, {"tokens": ["监", "理", "（", "建", "设", "）", "单", "位"], "bbox": [[140, 1475], [426, 1475], [426, 1510], [140, 1510]]}, {"tokens": [], "bbox": [[584, 1472], [1023, 1472], [1023, 1509], [584, 1509]]}]}, "gt": "<td colspan="2"><td colspan="2"><td colspan="2"><td colspan="3">工程名称<td colspan="2"><td rowspan="1">层数<td colspan="2">施工单位<td colspan="2">序号<td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="2"><td colspan="5"><td colspan="2">安全检测力报验<td colspan="5"><td colspan="2">4<td colspan="4">观感质量验收<td rowspan="3"><td colspan="2">单收<td colspan="3">项目经理<td colspan="3"><td colspan="2">监理（建设）单位<td colspan="5">
结构类型
技术负责人质量负责人
子分部（分项）工程名称（粉托)数 14747 验收意见
1
2
质量控制资料
3
施工单位
年月日设计单位项目负责人年月日
"}, error happened with msg: Traceback (most recent call last):
File "/home/zgc/PaddleOCR-release-2.6/ppocr/data/pubtab_dataset.py", line 119, in getitem
outs = transform(data, self.ops)
File "/home/zgc/PaddleOCR-release-2.6/ppocr/data/imaug/init.py", line 56, in transform
data = op(data)
File "/home/zgc/PaddleOCR-release-2.6/ppocr/data/imaug/label_ops.py", line 725, in call
if 'bbox' in cells[bbox_idx] and len(cells[bbox_idx][
IndexError: list index out of range
我们提供了AceIssueSolver来帮助你解答问题，你是否想要它来解答(请填写yes/no)?/We provide AceIssueSolver to solve issues, do you want it? (Please write yes/no):
yes
请尽量不要包含图片在问题中/Please try to not include the image in the issue.
我的yml配置是：
Global:
use_gpu: true
epoch_num: 400
log_smooth_window: 20
print_batch_step: 20
save_model_dir: ./output/SLANet_en_merge_newdict_one
save_epoch_step: 400
eval_batch_step:
- 0
- 311
  cal_metric_during_train: true
  pretrained_model: ./ch_ppstructure_mobile_v2.0_SLANet_train/best_accuracy.pdparams
  checkpoints:
  save_inference_dir: ./output/SLANet_en_merge_newdict_one/infer
  use_visualdl: false
  infer_img: doc/table/table.jpg
  character_dict_path: ppocr/utils/dict/table_structure_dict_ch.txt
  character_type: en
  max_text_length: 1000
  box_format: xyxyxyxy
  infer_mode: false
  use_sync_bn: true
  save_res_path: output/infer
  Optimizer:
  name: Adam
  beta1: 0.9
  beta2: 0.999
  clip_norm: 5.0
  lr:
  learning_rate: 0.00025
  regularizer:
  name: L2
  factor: 0.0
  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: 1000
  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: true
  Metric:
  name: TableMetric
  main_indicator: acc
  compute_bbox_metric: false
  loc_reg_num: 8
  box_format: xyxyxyxy
  del_thead_tbody: false
  Train:
  dataset:
  name: PubTabDataSet
  data_dir: ./tabel_one_train/train_image
  label_file_list:
  - tabel_one_train/train/train.txt
    ratio_list:
  - 0.015
    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: 1000
  - TableBoxEncode:
    box_format: xyxyxyxy
  - 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: null
  - KeepKeys:
    keep_keys:
    - image
    - structure
    - bboxes
    - bbox_masks
    - shape
      loader:
      shuffle: true
      batch_size_per_card: 1
      drop_last: true
      num_workers: 1
      use_shared_memory: false
      Eval:
      dataset:
      name: PubTabDataSet
      data_dir: ./tabel_one_train/val_image/
      label_file_list:
  - tabel_one_train/val/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: 1000
  - TableBoxEncode:
    box_format: xyxyxyxy
  - 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: null
  - KeepKeys:
    keep_keys:
    - image
    - structure
    - bboxes
    - bbox_masks
    - shape
      loader:
      shuffle: false
      drop_last: false
      batch_size_per_card: 1
      num_workers: 1
      use_shared_memory: false
      profiler_options: null
      原图片：
      
      我试了好多图片都出现这个错，使用pubtabnet就没问题，使用的ppocrlabel标注导出的数据。

beetter · 2024-02-05T03:28:44Z

beetter
Feb 5, 2024
Author

我是使用预训练模型微调的

0 replies

tink2123 · 2024-02-05T06:46:54Z

tink2123
Feb 5, 2024
Collaborator

请检查数据标注是否正确，每个cell单元格都应该有对应的box标注。

0 replies

beetter · 2024-02-05T07:25:47Z

beetter
Feb 5, 2024
Author

请检查数据标注是否正确，每个单元格都应有对应的方框标注。

标注是没问题的，我根据cells的坐标复原了标注框，顺序格式都没问题

0 replies

tink2123 · 2024-02-05T07:41:09Z

tink2123
Feb 5, 2024
Collaborator

标注结构需要和弹出的excel结构一一对应，请确认这一步是否完成。

0 replies

beetter · 2024-02-05T07:56:18Z

beetter
Feb 5, 2024
Author

标注结构需要和弹出的excel结构一一对应，请确认这一步是否完成。

excel是正确的，因为我的表格结构比较复杂，合并的时候可能占两列或者两个半列，我不知道这样符不符合。
$Uploading }T$KXLBEC2@{7_YM_S7QBWY.png…$

0 replies

beetter · 2024-02-05T07:57:16Z

beetter
Feb 5, 2024
Author

0 replies

beetter · 2024-02-05T07:57:57Z

beetter
Feb 5, 2024
Author

类似于我画出来的这种，我在excel里面是两列合并的

0 replies

tink2123 · 2024-02-06T03:15:31Z

tink2123
Feb 6, 2024
Collaborator

标注了一个box框，就需要对应excel里的一个单元格。只要一一对应好，确保单元格的个数，和box的个数一致就是对的。

0 replies

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表格识别出现IndexError: list index out of range #12708

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表格识别出现IndexError: list index out of range #12708

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beetter Feb 5, 2024

Replies: 8 comments

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beetter Feb 5, 2024 Author

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tink2123 Feb 5, 2024 Collaborator

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