I did fine-tuning with the eng.traineddata, using about 200 text lines from
the training text and 1100 iterations , CER of 0.01. The resulting model is
small because it does not have the dictionary files and is compressed to
fast/integer model.
On Wed, Mar 31, 2021, 03:37 marvin thielk wrote:
>
oops, missed this delivery failure. The ttf file is too large to attach
because it contains asian characters. I can upload it somewhere if you're
interested, but I plan on training a model for my own edification. Original
message below:
This is awesome, thank you so much!
What hyperparameters did
I do have the font available as a ttf file. It is probably copyright
protected but I could post it if it would be useful.
No I need to recognize letters and numbers, and I've been able to extract
text from other regions of the images, its just this region of numbers and
.%'s
Thanks,
~Marvin
O
Do you have the font used in the sample?
Do you only need to recognise numbers in it?
On Sat, Mar 27, 2021, 16:10 Marvin Thielk wrote:
> I've tried a variety of pre-processing attempts and different configs, but
> this feels like it should be an easy detection task.
>
> I've tried with several d
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