Yilun Xu
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Yilun Xu
您好，请问在model.py的ImageEncoder中，foward()内的这两句代码是什么意思？ features_top = features_orig[-1] features = features_top.view(features_top.size(0), features_top.size(1), -1).transpose(2, 1) # b, 49, 2048
您好，关于为LGPMA构建训练数据，我有以下两点疑问： 1、是否一定需要包含空单元格（blank cell）的标注； 2、bbox是否一定要按照pubtabnet那样标注为text region的格式，如果标注为align cell bound，会对模型产生怎样的负面影响（因为lgpma的lpma分支里面有对text region的mask predict） 可否解答我的疑惑，谢谢
The code opensourced in this repo seems not open the refine_bboxes during post-processing.
The inference function 'simple_test' seems only support Multi-Modal Feature Fusion part and Relational Graph Construction part, can you open source the Table Elements Extraction part and Structural Graph Construction part?...