In reading the training wiki for 4.0, I was confused by this line about
boxfile creation:
The boxes only need to be at the *textline level.* It is thus *far easier*
> to make training data from existing image data.
>
What does "textline level" mean? Would that be an entire line of text on a
Hey all,
After some wrangling, I've been able to get Tesseract to successfully train
on my dataset (i.e. lstmtraining application runs to completion without
critical errors)
However, it's not clear in the wiki what exactly the output of lstmtraining
is. In the output directory I set for
Nevermind. It seems like it wasn't working because I wasn't explicitly
setting the --tessdata-dir flag to the correct /tessdata/ on my system.
On Monday, January 7, 2019 at 12:58:36 PM UTC-5, tc...@zips.uakron.edu
wrote:
>
> So I was able to successfully get a traineddata file from lstmtraining
So I was able to successfully get a traineddata file from lstmtraining
buthave encounterd a new error. When I try to run Tesseract against an
image as follows:
tesseract ../test.png out -l lso --oem 1 --psm 7
I get the following error:
Failed to read boxes from ../test.png
Any
Hey all,
I'm currently working on a program that explores the handwritten OCR
capabilities of Tesseract.
I have ~1400 images with ~8 lines of handwritten textlines per image with
accompanying BOX files. Additionally, I've got a couple of handwritten
fonts that I'm using to bootstrap the
Yeah I gave it quite a while to complete and it was still stuck on the same
text2image call. Upon inspection, I see that its hanging after the eighth
call to text2image during Phase I when the synthetic images are being
generated. I'm getting the same behavior using the unmodified tesstrain
Disregard my last question. I figured out how to modify the batch size and
found that it will hang indefinitely after processing the first batch of
files if the specified batch size is smaller than the number of files I
want to process. I set the batch size to and everything seems to be
I'm using Tesseract v4.0.0.20181030 which I cloned from the main GitHub
page two days ago.
I built Tesseract and the training tools from source with the Autotools and
Make files.
Tesseract and the training tools are being run on a WSL install of Ubuntu
v18.04.1 LTS on a VirtualBox VM running
Hey all,
I've got a few question regarding eval_listfile:
1) The listed files are .lstmf right?
2) Should these be generated in the same tesstrain.sh process as the
training files or should be they be obtained from a tesstrain.sh process
independently? I ask this since based on my
Here's google drive link to a few examples of mine:
https://drive.google.com/file/d/1Bhl8nv6rRx2xu5tQx_T1Ru9dvbCyAu6H/view?usp=sharing
Each textline in the image has a line in the boxfile for each character in
the textline. the box dimensions following a single character are not for a
single
How did you add a blacklist?
On Monday, April 29, 2019 at 11:32:14 PM UTC-4, Jonathan wrote:
>
> If you know you won't have numbers, what worked for me is blacklisting
> numbers. Otherwise you will have to improve the image quality (like
> resizing to bigger size and sharping the edges)
>
> On
11 matches
Mail list logo