Hey yeah I wasn't able to find a tutorial really and the plan is to solve 
this problem by making an easy to use app, I've started working on the app 
already actually, do you have some images and ground truth text files that 
I could test the app against?

On Thursday, September 14, 2023 at 3:52:44 AM UTC-7 hmaster wrote:

> I've thought about this for a long time. I tried to follow the process to 
> make image paths, and ground truth text files, and all failed. 
> I was never able to train a model to recognize some of my images.
> I don't think I've ever seen a tutorial where this is done in a clean 
> manner. Like a 1-2-3-4...-10 steps and you should be able to see XYZ result.
>
> If you know of such a tutorial or even some links that may help uncover 
> the mystery, please share.
>
> Thank you kindly.
> Looking forward to your feedback and hearing from you.
>
> PS: if you ever decide on doing this as a GUI, I'd be interested in 
> collaborating, and helping out achieve this GUI.
>
>
> On Thursday, 7 September 2023 at 05:35:27 UTC+1 erikrich...@gmail.com 
> wrote:
>
>> I had the same problem recently. I've been thinking about developing a 
>> simple GUI that makes it easy to fine-tune a model. Should be able to just 
>> upload a CSV containing image paths and ground truth text, choose the PSM 
>> value, decide which model to base the training on, and click to start the 
>> training process. Could handle eval on validation set too. Would this be 
>> useful for you? Just let me know if there are other features you'd like to 
>> see for your use case.
>>
>> On Sunday, September 3, 2023 at 5:12:05 AM UTC-7 kem...@yahoo.com wrote:
>>
>>> Hey all.
>>> There must be a simple training GUI for Tesseract?
>>> Looked but could not find.
>>>
>>> Saw mentioned jTessBoxEditor but the download link yields VietOCR,
>>> a software which seems to do nothing at all.
>>>
>>> Any ideas for a simple training GUI?
>>>
>>> Software should not be this difficult people.
>>> It's 2023, not 1982.
>>>
>>> I look forward to hearing any ideas you might have.
>>>
>>

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