Re: [tesseract-ocr] lstmeval gives a perfect result but tesseract fails

>From what I understand from the documentation provided by Ray Smith regarding LSTM training, the models have been trained on hundreds of thousands of lines and hundreds of fonts. The network spec used for training from scratch will therefore be optimized for such large models. You seem to have

Re: [tesseract-ocr] lstmeval gives a perfect result but tesseract fails

>I've trained a LSTM model for a custom language from scratch as explained here . >The language only has about 100 words and 17 characters, so it's pretty simple. For such a small model, try to build the legacy version