6e6c12425a787d8c954ce5c31ceed59cdd531001,kraken/lib/ctc_decoder.py,,greedy_decoder,#Any#,48

Before Change

    start = None
    x = []
    for i in range(len(m)):
        if start is None and dec[i] != 0 and (not (i > 0 and dec[i-1] == dec[i])):
            start = i
            code = dec[i]
        if start is not None and (dec[i-1] != dec[i]):
            x.append((code, start, i , val[start:i+1].max().data[-1]))
            start = None
    return x

def blank_threshold_decoder(outputs, threshold=0.5):
    

After Change

        of the softmax layer in the region.
    
    labels = np.argmax(outputs, 0)
    seq_len = outputs.shape[1]
    mask = np.eye(outputs.shape[0], dtype="bool")[labels].T
    classes = []
    for label, group in groupby(zip(np.arange(seq_len), labels, outputs[mask]), key=lambda x: x[1]):
        group = list(group)
        if label != 0:
            classes.append((label, group[0][0], group[-1][0], max(x[2] for x in group)))
    return classes

def blank_threshold_decoder(outputs, threshold=0.5):
    

Instances