START_MODEL gives Segmentation Failure Error

[Madhav Pandey]

Hey Guys,

I hope you're all doing well. We have been working on training a model using a handwritten font in Tesseract OCR, and we have encountered an issue related to the START_MODEL flag.

Currently, we are using the following command for training:

make tesstrain START_MODEL=hin TESSDATA=tessdata_best

However, whenever we include the START_MODEL flag, we consistently encounter the "Segmentation Failure" error. Strangely, when we omit the START_MODEL flag and only specify the TESSDATA path, the training process runs without any failures.

I have a couple of questions regarding this issue:
1. When we omit the START_MODEL flag and solely provide the TESSDATA path, which base model does Tesseract use for training?
2. Is there any specific reason why we are encountering the "Segmentation Failure" error when using the START_MODEL flag?

I would appreciate any insights or guidance you can provide regarding these questions. Thank you all for your support.

[Zdenko Podobny]

Hello,

If you are really looking for help, you need to provide full details (e.g. whole log of training, how did you installed tesseract, which version of tesseract, how did you install model (specieally hin model) example of training data that help to replicate "Segmentation Failure" etc.

Zdenko

pi 23. 6. 2023 o 7:58 Madhav Pandey <mad.dev...@gmail.com> napísal(a):

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[Madhav Pandey]

Hi,

What is the good to capture the logs for model training?

Thanks!

[Madhav Pandey]

Hi,

Please find the detail below:

1. Dataset: It's available in marathi handwritten zip folder here https://github.com/codeatpanorama/training-data/blob/main/marathi_handwritten_text.zip

2. Log : Tesstrain.log file - https://github.com/codeatpanorama/training-data/tree/main/logs

3. Command Used: nohup make training MODEL_NAME=mar_hw START_MODEL=mar TESSDATA=tessdata_best MAX_ITERATIONS=10000 LANG_TYPE=Indic > plot/TESSTRAIN.LOG &

4. We installed mar.traineddata using this command wget https://github.com/tesseract-ocr/tessdata/raw/main/mar.traineddata -P tessdata_best

This is out of tesseract version:

tesseract 4.1.1

 leptonica-1.79.0

  libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 2.0.3) : libpng 1.6.37 : libtiff 4.1.0 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.1

 Found libarchive 3.4.0 zlib/1.2.11 liblzma/5.2.4 bz2lib/1.0.8 liblz4/1.9.2 libzstd/1.4.4

Please help us unblock here.

Also, When we omit the START_MODEL flag and solely provide the TESSDATA path, which base model does Tesseract use for training?

Thanks!

[Madhav Pandey]

Hi Zdenop, 

Can you please provide some input here on why we might me getting this error?

Thanks!

[Madhav Pandey]

Hi Zdenop, I have provided all the information that you asked for in this thread. Can you please help us here? 

If anything is missing, please let me know I can provide all the information that you need. 

Thanks!

[Zdenko Podobny]

Let's start with the basics:

The current leptonica version is 1.83.1 https://github.com/DanBloomberg/leptonica/releases

The current tesseract version is 5.3.1 https://github.com/tesseract-ocr/tesseract/releases

Use the latest version if there is a problem. Nobody wants to waste time with (probably) already fixed issues.

"4. We installed mar.traineddata ... -P tessdata_best"  Why you pretend that tessdata is tessdata_best???

If you have a problem - stick to manual/documentation.

Zdenko

št 6. 7. 2023 o 19:50 Madhav Pandey <mad.dev...@gmail.com> napísal(a):

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[Madhav Pandey]

Thanks for responding.

I will update the version and see if it fixes things for me. I will keep you posted.