Comments (2)
@EvertonTomalok
Can you clarify more? what do you mean extract information/coordinates about page
.
- Are you talking about improving the model backbone?
- Are you talking about improving the baseline to textline extractor?
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To adapt the script to extract information/coordinates about page, from XML's formats most knowledge in the industry, like YOLO and PASCAL/VOC.
Observation: I could help with this task.
Hi,
YOLO and PASCAL/VOC formats are very focused on image segmentation data, while PAGE-XML is focused on Document image representation, this is not just the segmentation of the document but the relationship between objects (e.g. reading order), the data in the documents (transcription, probabilistic index, modernization, notes. ....) and of course the metadata of the document itself.
If you think that YOLO/PASCAL format converted is useful for the community, please feel free to contribute (Send a pull request).
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Related Issues (20)
- [config] HOT 1
- evaluation HOT 1
- Different predictions when changing the images order in prod_img_list HOT 1
- Error when run pretrained model HOT 1
- JoseRPrietoF version? HOT 2
- TextLine region HOT 4
- XML generator HOT 5
- Weights initialisation error
- minor typo in command HOT 1
- error while running the pre trained model in google colab HOT 3
- Baseline + polygon detection of handwriting HOT 4
- Demo not working HOT 1
- Wights used on the Website demo HOT 1
- "Neural Networks based Model" link in docs not working HOT 1
- How to see output polygon drawn on an input image? HOT 4
- Does P2Pala support reading order? HOT 1
- Any chance to see more pre-trained models? HOT 2
- model for zone segmentation HOT 1
- require opencv-python-headless variant HOT 2
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