[tesseract-ocr] understading lstmeval and use it on pretrained models for comparison

Hello, I just finished my first training of tesseract 4.0 and I ran a lstmeval on the generated model, which I named *mod01.* I use this command line : lstmeval --model data/checkpoints/mod01_checkpoint --traineddata ./usr/share /tessdata/mod01.traineddata --eval_listfile data/list.eval It worke

Re: [tesseract-ocr] understading lstmeval and use it on pretrained models for comparison

See https://github.com/tesseract-ocr/tesseract/blob/master/doc/lstmeval.1.asc When using checkpoint you need to also use the starter traineddata file used for training. Or give final traineddata file as model. So, if after training u have converted the checkpoint to a traineddata, you can use th

Re: [tesseract-ocr] understading lstmeval and use it on pretrained models for comparison

training/lstmeval --model ~/tesstutorial/engoutput/base_checkpoint \ --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \ --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt training/lstmeval --model tessdata/best/eng.traineddata \ --eval_listfile ~/tesstutorial/engeval/eng

[tesseract-ocr] Train Tesseract to ignore music?

I'd like to produce high-quality OCR of books that contain text interspersed with music. Is it possible to train Tesseract to ignore musical notation instead of turning it into junk OCR? How would one go about doing this? -- You received this message because you are subscribed to the Google Gr

[tesseract-ocr] GPU for Tesseract

On Tesseract site, it is mentioned that no GPU is needed (No support). What does this statement means? If i have a machine with GPU, does it improve training performance or it has no impact on training time. Please respond. -- You received this message because you are subscribed to the Google Gr