loss.py 文件源码

def dsc_loss(scores, labels):
    scores = tf.sigmoid(scores)
    inter = tf.scalar_mul(2., tf.reduce_sum(tf.multiply(scores, labels), [1, 2, 3]))
    union = tf.add(tf.reduce_sum(scores, [1, 2, 3]), tf.reduce_sum(labels, [1, 2, 3]))
    dsc_loss = tf.reduce_mean(tf.sub(1., tf.div(inter, union)))

    return dsc_loss