Comments (4)
P2PaLa is created for handwriting text in mind, but it can somewhat generalize to printed text.
- post sample of your detection, training log, number of images used in training, sample of images trained vs trying to detect, the training config, are you talking about baselines or polygons, etc..
Without such info, how can we diagnose your issue
@stevethearkiv
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Maybe I need to explain better. I run the default ALAR model against handwriting where the handwriting deviates a bit from a straight line. The rectangle will cut the top and bottom off the handwriting, and where the handwriting starts to dip, it will partially disappear out of the rectangle. So my question is. Is it possible to train a model (using the P2PaLa set of tools), to create polygons around irregular, non fixed-height handwriting. I have many images, and many sets of coordinates which define where the handwriting is; coords which follow the shape of the letters. Is this all I need, and how could I train such a model, if possible?
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here you go dear
https://github.com/PRHLT/pageDistanceBasedContourGenerator
https://github.com/PRHLT/pageLineExtractor
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Hi,
@stevethearkiv , P2PaLA did not support complex text-line extraction. It is designed to baseline detection in mind, while text-line extraction is leaved to another tools like the ones pointed out in the previous comment.
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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
- [Enhancement] Page-XML extractor HOT 2
- Weights initialisation error
- minor typo in command HOT 1
- error while running the pre trained model in google colab HOT 3
- 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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