something about the Summary

[liuqinying]

In your code "capsNet.py",you add "self.decoded" to the "tf.summary.image" as "recon_img ",but self.X= input_image/255,and in your code
"
orgin = tf.reshape(self.X, shape=(cfg.batch_size, -1))

    squared = tf.square(self.decoded - orgin)

    self.reconstruction_err = tf.reduce_mean(squared)

"
so self.decoded is not reconstructed image,you need to multiply it by 255,right?

[naturomics]

tf.summary.image can deal with this problem and display the images correctly. It's OK since we just want to display it on tensorboard.