def _head_to_tail(self, pool5, is_training, reuse=False):
with tf.variable_scope(self._scope, self._scope, reuse=reuse):
pool5_flat = slim.flatten(pool5, scope='flatten')
fc6 = slim.fully_connected(pool5_flat, 4096, scope='fc6')
if is_training:
fc6 = slim.dropout(fc6, keep_prob=0.5, is_training=True,
scope='dropout6')
fc7 = slim.fully_connected(fc6, 4096, scope='fc7')
if is_training:
fc7 = slim.dropout(fc7, keep_prob=0.5, is_training=True,
scope='dropout7')
return fc7
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