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Baseline + polygon detection of handwriting #34
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P2PaLa is created for handwriting text in mind, but it can somewhat generalize to printed text.
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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? |
Hi, |
Hello. I have ran P2Pala succesfully against typewritten and print with the default model, but I am not getting very good results when running against handwriting. Is it possible to train a model to work against handwriting, and if so, what kind of ground truth, and how much is required?
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