Replies: 5 comments 16 replies
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这些都是 阿里读光的表格识别模型 考虑到现有表格识别模型较弱,尝试阿里读光下的表格识别模型效果。 |
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感觉是有个斜线 加个判断就可 |
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合合的表格识别好像都是正确的,不知道是怎么训练的。 |
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@qqeip 有兴趣一起维护这个表格识别项目吗?感兴趣的话,可以加个QQ,我的是1226778264 |
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File "F:/pycharm2020.2/RapidStructure-0.0.0/TableStructureRec-main/demo_wired.py", line 31, in
table_str, elapse = table_rec(img_path)
File "F:\pycharm2020.2\RapidStructure-0.0.0\TableStructureRec-main\wired_table_rec\main.py", line 47, in call
polygons = self.table_line_rec(img)
File "F:\pycharm2020.2\RapidStructure-0.0.0\TableStructureRec-main\wired_table_rec\table_line_rec.py", line 69, in call
polygons = merge_adjacent_polys(polygons)
File "F:\pycharm2020.2\RapidStructure-0.0.0\TableStructureRec-main\wired_table_rec\utils_table_recover.py", line 79, in merge_adjacent_polys
polygons = combine_two_poly(polygons, idxs)
File "F:\pycharm2020.2\RapidStructure-0.0.0\TableStructureRec-main\wired_table_rec\utils_table_recover.py", line 88, in combine_two_poly
idxs = idxs.squeeze(0)
ValueError: cannot select an axis to squeeze out which has size not equal to one
原图
可视化表格框
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