I have updated the guide explaining on how to train by cutting the top
layer. You can check it out. I hope it is helpful.
On Sunday, October 22, 2023 at 7:41:15 PM UTC+3 renec...@gmail.com wrote:
> Hi Keith,
> The foo.traindedata is not existing but do you mean : the trainedata I
> want to
are you trying to train from scratch?
On Sunday, October 22, 2023 at 8:27:26 PM UTC+3 bkpalm...@gmail.com wrote:
>
> I have both of these files. I don't understand. They are both prefixed
> with .eng in my tessdata directory. I am so close...
>
--
You received this message because you
I have both of these files. I don't understand. They are both prefixed
with .eng in my tessdata directory. I am so close...
--
You received this message because you are subscribed to the Google Groups
"tesseract-ocr" group.
To unsubscribe from this group and stop receiving emails from
Hi Keith,
The foo.traindedata is not existing but do you mean : the trainedata I want
to train ex: hye.traineddata ?
In my case I should add a new character in the hye.traineddata
It seems that I can do this using the option 2 !
But how ? Which command should I use to execute this function
The shell script still works. But, if you are specifically looking for a
python script, there are a number of python scripts posted in this forum. I
personally have been using the script posted by Ali
here: https://groups.google.com/g/tesseract-ocr/c/-G7TZEnVHgE
On Sunday, October 22, 2023 at
Hello, everyone:
As we know.in tesseract 5.0 , we can use tesstrain.sh to create
training data,but
in tesseract5.3.0, the tesstrain.sh script is removed.
The guide says:"
* bash scripts is unsupported/abandoned for Tesseract 5. Please use python
scripts from tesstrain repo
thx. i will try with this method as soon as possible.
On Sunday, 22 October, 2023 at 3:49:46 pm UTC+6 desal...@gmail.com wrote:
> here it is:
> https://github.com/tesseract-ocr/tessdoc/blob/main/Data-Files-in-tessdata_best.md
>
> On Sunday, October 22, 2023 at 12:45:40 PM UTC+3 Des Bw wrote:
>
here it
is:
https://github.com/tesseract-ocr/tessdoc/blob/main/Data-Files-in-tessdata_best.md
On Sunday, October 22, 2023 at 12:45:40 PM UTC+3 Des Bw wrote:
> This is the code I used to train from a layer:
> *make training MODEL_NAME=amh START_MODEL=amh APPEND_INDEX=5
> NET_SPEC='[Lfx256
This is the code I used to train from a layer:
*make training MODEL_NAME=amh START_MODEL=amh APPEND_INDEX=5
NET_SPEC='[Lfx256 O1c105]' TESSDATA=../tesseract/tessdata EPOCHS=3
TARGET_ERROR_RATE=0.0001 training >> data/amh.log &*
*- I took it from Scheer' training *tesstrain-JSTORArabic*: *
you can test by changes '--char spacing=1.0 . i think it would be problem
accuracy of result on it also.
On Sunday, 22 October, 2023 at 3:07:16 pm UTC+6 Ali hussain wrote:
> i haven't tried by cut the top layer of the network. you can share your
> knowledge what you done by cut the top layer of
i haven't tried by cut the top layer of the network. you can share your
knowledge what you done by cut the top layer of the network. or github
project link.
On Sunday, 22 October, 2023 at 12:27:32 pm UTC+6 desal...@gmail.com wrote:
> That is massive data. Have you tried to train by cut the top
That is massive data. Have you tried to train by cut the top layer of the
network?
I think that is the most promising approach. I was getting really good
results with that. But, the result is not getting translated to scanned
documents. I get best results with the syntethic data. I am no
12 matches
Mail list logo
