Comments (2)
Thank you for your interest in ochre! Whether you need the aligned files depends on what you want to do (how you want to calculate performance). For calculating character error rate and word error rate, you don't need them. For doing word level error analysis, you need them, but if you use the workflows provided by ochre, they are generated automatically.
I am in the process of putting the workflows online and providing documentation. So, I hope you can wait a little longer.
Is your dataset publicly available? If so, I'd like to include it in my list :)
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Hi, Sorry for disappearing (working on another research). I've updated my question in a separate post:
#4
Thanks!
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Related Issues (17)
- Make separate commands for the diffrent neural network architectures
- Update workflows for extracting datasets to accept zipfile as input
- Using ochre to evaluate synthetic ocr post processing dataset generation HOT 3
- Error in align_output_to_input HOT 3
- All chars assumption HOT 2
- Unsatisfying results HOT 2
- Where to start? HOT 1
- Error during preprocessing HOT 2
- About OCR_aligned and Lost or missing text HOT 3
- Permanent failure with VU recepie HOT 2
- Additional OCR Post correction datasets HOT 2
- Pretrained models HOT 1
- print error - ICDAR2017_shared_task_workflows.ipynb HOT 3
- /usr/bin/python: dateutil 2.5.0 is the minimum required version HOT 1
- Issues in testing HOT 3
- Is test and training data format different. HOT 3
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