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Kaiwen Liuandliukaiwen
37925f36d9
* # add table recognition using struct-eqtable ## Changelog 31/07/20204 - Support table recognition. Table images will be converted into html. ### how to use the new feature: set the attribute 'table-mode' to 'true' in magic-pdf.json ### caution: it takes 200s to 500s to convert a single table image using cpu * # add table recognition using struct-eqtable ## Changelog 31/07/20204 - Support table recognition. Table images will be converted into LaTex. ### how to use the new feature: set the attribute 'table-mode' to 'true' in magic-pdf.json ### caution: it takes 200s to 500s to convert a single table image using cpu * # feat(model inference): add table recognition and convertion to LaTeX # What's Changed ### New Features - Add table content recognition, we use weights of [StructEqTable](https://github.com/UniModal4Reasoning/StructEqTable-Deploy) to convert table image to LaTex. ### Instruction - pip install pypandoc struct-eqtable==0.1.0 - Download [StructEqTable weights](https://huggingface.co/wanderkid/PDF-Extract-Kit/tree/main/models/TabRec) and put it under models/ directory. - Edit 'table-mode' value to turn on table recognition function which is turned off by default. - If you did not download any models before, refer to [how to download models](docs/how_to_download_models_zh_cn.md)。 * add table recognition and convertion to LaTeX * add table recognition and conversion to LaTeX * add table recognition and conversion to LaTeX * add table recognition and conversion to LaTeX --------- Co-authored-by: liukaiwen <liukaiwen@pjlab.org.cn>
12 lines
278 B
JSON
12 lines
278 B
JSON
{
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"bucket_info":{
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"bucket-name-1":["ak", "sk", "endpoint"],
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"bucket-name-2":["ak", "sk", "endpoint"]
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},
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"models-dir":"/tmp/models",
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"device-mode":"cpu",
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"table-config": {
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"is_table_recog_enable": false,
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"max_time": 400
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}
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} |