Closed Parshwa27 closed 3 years ago
Either a learned probability for a ground truth label sequence has collapsed to zero or your ground truth label sequence is longer than the feature sequence. See https://stackoverflow.com/questions/45130184/ctc-loss-error-no-valid-path-found
Is this the reason that the model is omitting every double character? E.g. "ned" instead of "need".
@Parshwa27 Not likely. More likely is that the model has not yet learned to insert the CTC blank character needed to prevent the repeated characters from being merged during the beam search.
While training OCR I got the following error a couple of times only: Error: W tensorflow/core/util/ctc/ctc_loss_calculator.cc:144] No valid path found I don't understand what it means. Can anyone help?