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i tried here table image text extraction using tablebank pretrained model (Table structure recognition).
Results here,
```
python drive/My\ Drive/OpenNMT-py/translate.py -data_type img -model dr…
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In blessFunc.py borderless,Icame across this error:
MergedBoxes = []
for cellrow in cellBoxes2BeMerged:
cellrow = sorted(cellrow,key=lambda x: x[0])
cur_cell = -1
for c,cell…
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I have a pdf and have converted it to the images. Now I want to pass it through the TETR for Table Structure Recognition.
Is there a way to run Inference with batch size > 1 for TSR?
Can it be done…
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I am finding that when using the latest `TATR-v1.1-Fin` model that in the initial TSR phase the model detects many very thin rows in the middle of a table, even when the table seems simple and is from…
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Hi!
I am trying to fine tune the TATR model with a proprietary dataset. I am currently trying to convert the dataset to the same format as FinTabNet and then using the script in this repository (s…
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After comparing
TATR-v1.1-Fin-msft.pth, TATR-v1.1-All-msft.pth and nielsr/detr-table-structure-recognition I found out that nielsr/detr-table-structure-recognition is more accurate when it comes to …
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With this script, can we only fine-tune for table structure recognition, or is fine-tuning for table structure recognition also improve table recognition for Financial tables?
Once again, thank you…
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### Feature request
The [Table Transformer](https://huggingface.co/docs/transformers/main/en/model_doc/table-transformer) is a model with basically the same architecture as [DETR](https://huggingfa…
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Hello,
I interest of your paper. And I have some questions.
1. When your model trains, HTML tag data is optional? Because, fig. 2 of your paper is written shared decoder's input is HTML tags. Bu…