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Merge pull request #18 from stweil/master

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These models don't work with old versions of Tesseract.
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zdenop 2018-10-23 18:19:46 +02:00 committed by GitHub
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This repository contains fast integer versions of trained models for the [Tesseract Open Source OCR Engine](https://github.com/tesseract-ocr/tesseract). This repository contains fast integer versions of trained models for the [Tesseract Open Source OCR Engine](https://github.com/tesseract-ocr/tesseract).
These models only work with the LSTM OCR engine of Tesseract 4.
- These are a speed/accuracy compromise as to what offered the best "value for money" in speed vs accuracy. - These are a speed/accuracy compromise as to what offered the best "value for money" in speed vs accuracy.
- For some languages, this is still best, but for most not. - For some languages, this is still best, but for most not.
- The "best value for money" network configuration was then integerized for further speed. - The "best value for money" network configuration was then integerized for further speed.
- Most users will want to use these traineddata files to do OCR and these will be shipped as part of Linux distributions eg. Ubuntu 18.04. - Most users will want to use these traineddata files to do OCR and these will be shipped as part of Linux distributions eg. Ubuntu 18.04.
- Fine tuning/incremental training will **NOT** be possible from these `fast` models, as they are 8-bit integer. - Fine tuning/incremental training will **NOT** be possible from these `fast` models, as they are 8-bit integer.
- When using the models in this repository, only the new LSTM-based OCR engine is supported. The legacy `tesseract` engine is not supported with these files, so Tesseract's oem modes '0' and '2' won't work with them. - When using the models in this repository, only the new LSTM-based OCR engine is supported. The legacy `tesseract` engine is not supported with these files, so Tesseract's oem modes '0' and '2' won't work with them.
## Two types of models ## Two types of models