d1e6f8655410239f50cdda35f31377839cf630fb,kraken/ketos.py,,train,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,80

Before Change

    
    st_time = time.time()
    if load is None:
        click.echo("Training from scratch not yet supported.")
        ctx.exit(1)
    if ctx.meta["verbose"] > 0:
        click.echo(u"[{:2.4f}] Building ground truth set from {} line images".format(time.time() - st_time, len(ground_truth)))
    else:

After Change

        newcodec = Codec()
        code2char, char2code = {}, {}
        for code, char in enumerate([126] + [ord(c) for c in sorted(list(gt_set.training_alphabet.keys()))]):
            code2char[code] = chr(char)
            char2code[chr(char)] = code
        newcodec.code2char = code2char
        newcodec.char2code = char2code
        rnn = tlstm.TlstmSeqRecognizer.init_model(lineheight, hiddensize, len(newcodec.code2char), newcodec)
        if not ctx.meta["verbose"]:

Instances