paddleocr extraction miss match issue

[tzktz]

@sdcb @ZeyuChen @haobibo @bingooo @llxxxll @tink2123
code i used..

import os
import cv2
from paddleocr import PPStructure,save_structure_res
from paddleocr.ppstructure.recovery.recovery_to_doc import sorted_layout_boxes, convert_info_docx

table_engine = PPStructure(recovery=True, lang='en')

save_folder = './output'
img_path = 'cropped_table_2.png'
img = cv2.imread(img_path)
result = table_engine(img)
save_structure_res(result, save_folder, os.path.basename(img_path).split('.')[0])

for line in result:
    line.pop('img')
    print(line)

h, w, _ = img.shape
res = sorted_layout_boxes(result, w)
convert_info_docx(img, res, save_folder, os.path.basename(img_path).split('.')[0])

input image ..

output doc for ocr extraction..

see the miss match in row category details..can anyone resolve it..

[tink2123]

Sorry, the effect of the table recognition model is not good enough. We are optimizing and iterating, so you can continue to pay attention.

[tzktz]

Sorry, the effect of the table recognition model is not good enough. We are optimizing and iterating, so you can continue to pay attention.

thank u for ur reply..And consider this issue also..
NielsRogge/Transformers-Tutorials#386
regarding paddle ocr list index out of range..!!