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Deep learning convolutional neural networks seem like the next generation for object detection. The accuracy is significantly better, and it is not tied to particular aspect ratio. This would work v…
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### Environment
* **Tesseract Version**: both 4 and 5
* **Platform**: Linux arch 5.10.47
### Current Behavior:
There are two pictures:
1.
![550](https://user-images.githubusercontent.com/6…
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### Environment
```
tesseract 4.1.1 and 5.0.0-beta-20210916
Linux 5.4.0-81-generic #91-Ubuntu SMP Thu Jul 15 19:09:17 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
```
using nld language.
the langua…
rmast updated
2 years ago
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### Tesseract 4.1.0-beta1
**All trained data for 4.0 dont work except 3.04.00. Unfortunately, the accuracy and confidence of 3.04.00 is very bad. Where can i find an accurate trained data for this…
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What steps will reproduce the problem?
1.O:\recovered files\drive M\rao-files\chilume\test-3.02-r806>tesseract
rao1.tif test -l kan
Error: unichar |:|0n2 in normproto file is not in unichar set.
…
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```
What steps will reproduce the problem?
1.O:\recovered files\drive M\rao-files\chilume\test-3.02-r806>tesseract
rao1.tif test -l kan
Error: unichar |:|0n2 in normproto file is not in unichar set.
…
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```
What steps will reproduce the problem?
1.O:\recovered files\drive M\rao-files\chilume\test-3.02-r806>tesseract
rao1.tif test -l kan
Error: unichar |:|0n2 in normproto file is not in unichar set.
…
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After messing around with this for about 8 hours over the weekend I found that "i" is consistently confused for "f". On the rare occasion "Q" is confused for "O". Sometimes restarting everything fixed…
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Perhaps this is working backward, but is there anything we can do place the text we have into the form of the page of Talmud, or into the form of the Mishneh Torah, or into a nice format for Tanach wi…
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### Environment
* **Tesseract Version**: 5.0.1
* **Commit Number**: 424b17f997363670d187f42c43408c472fe55053
* **Platform**: Linux girid 4.19.0-20-amd64 # 1 SMP Debian 4.19.235-1 x86_64 GNU/Linux…