Improving speed of a fine-tuned tessdata-best data file

[Kunal Singh]

Hello,

I am using a fine-tuned traineddata file (from tessdata_best). But its' speed is lot slower than tessdata (legacy+LSTM) or tessdata_fast.

Now, is there any way to make the fine-tuned traineddata file faster, by sacrificing slight accuracy? Can we possibly reduce some of the layers of LSTM model?

Any suggestions would be great.

Regards,

Kunal

[Shree Devi Kumar]

Convert it to a fast model.

combine_tessdata -c

compresses the traineddata file.

You can also do it when you stop lstmtraining with --convert-to-int flag

Please check syntax -

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[Kunal Singh]

Thanks for the reply. It worked. 

combine_tessdata -c <disk-location/of/current/eng.traineddata>

On Sunday, May 17, 2020 at 11:42:00 AM UTC+5:30, shree wrote:

Convert it to a fast model.

combine_tessdata -c

compresses the traineddata file.

You can also do it when you stop lstmtraining with --convert-to-int flag

Please check syntax -

On Sun, May 17, 2020, 11:13 Kunal Singh <singh.k...@gmail.com> wrote:

Hello,

I am using a fine-tuned traineddata file (from tessdata_best). But its' speed is lot slower than tessdata (legacy+LSTM) or tessdata_fast.

Now, is there any way to make the fine-tuned traineddata file faster, by sacrificing slight accuracy? Can we possibly reduce some of the layers of LSTM model?

Any suggestions would be great.

Regards,

Kunal

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