Open VincentFEI opened 6 years ago
I can't understand what codes below want to do, does anybody can explain? Thanks so much !!!
if use_dilated: pad = [[0, 0], [0, 0]] self.pool4 = tf.nn.max_pool(self.conv4_3, ksize=[1, 2, 2, 1], strides=[1, 1, 1, 1], padding='SAME', name='pool4') self.pool4 = tf.space_to_batch(self.pool4, paddings=pad, block_size=2) else: self.pool4 = self._max_pool(self.conv4_3, 'pool4', debug)
This implements dilated (atrous) convolutions.
I can't understand what codes below want to do, does anybody can explain? Thanks so much !!!