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Training on my own images #1

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ghost opened this issue Sep 6, 2018 · 2 comments
Open

Training on my own images #1

ghost opened this issue Sep 6, 2018 · 2 comments

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@ghost
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ghost commented Sep 6, 2018

@gaxler Thank you for your hard work.

How can I train your tool using my own images?
What is required, and what data format can I use? PAGE XML annotation? YOLO darknet bbox?

@ghost ghost changed the title Word segmentation from extracted text-lines Training on my own dataset Sep 7, 2018
@ghost ghost changed the title Training on my own dataset Training on my own images Sep 7, 2018
@gaxler
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gaxler commented Sep 8, 2018

You can write an interface to your own data. Basically you need to have a generator that produces MetaImage objects ( see data/metaimage.py). You can find examples in the data folder ( e.g. data/iclef.py)

@ghost
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ghost commented Sep 9, 2018

@gaxler how do your tool compare to ocroseg from ocropus3?
What label format does your tool accept: yolo, voc or kitti?

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