This repository contains images for training and testing an OCRopus model for Cyrillic letters.
As of today, the training data does not contain enough examples for every Cyrillic letter. Some letters might be missing completely.
The model can be trained using this command:
ocropus-rtrain -c codec.txt -F 1000 -o cyrillic training/*.bin.png
I have trained an initial model cyrillic-00009000.pyrnn.gz which can be found in the repository. You can see the training progress of the model in this diagram:
The snippets come from these sources:
There is a folder raw that contains additional images without ground truth data. If you can read Russian or like to fiddle about the Cyrillic letter (the most I can do) you are invidet to complete the ground truth data:
Generate an initial model as described above. Use that model for a prediction and create the HTML file for correction:
ocropus-rpred -m cyrillic-00003000.pyrnn.gz raw/*.bin.png
ocropus-gtedit html raw/*.bin.png
Edit the file correction.html and save the result. Beware that some browsers do not save the content of the input fields. Test it with a single line to avoid disappointment! I that case you can use the inspect funciton you browser and copy the HTML code into a file using a text editor.
After the HTML file containing the ground truth has been edited it needs to be processed by OCRopus:
ocropus-gtedit extract correction.html
If you like you can split the resulting bin.png and gt.txt files into training and testing folders. Or you simple leave them in the raw folder and I will be the distribution.
Additional scans containing Cyrillic letters are also warmly welcome!