I only see images which are currently residing in symbolic tensor (logits, label):
with tf.name_scope("Train"):
optimizer = tf.train.AdamOptimizer(FLAGS.learning_rate).minimize(cost_function)
tf.summary.image('logits', tn_logits, max_outputs=4)
tf.summary.image('label', t_label, max_outputs=4)
In the session, I feed the network images in a loop.
for epoch in range(FLAGS.training_epochs):
for img in images:
_, summary_str, costs = sess.run([optimizer, merged_summary_op, cost_function],
feed_dict={t_im0: img.l_img.eval(), t_im1: img.r_img.eval(),
t_label: img.mask.eval()})
How to show all images simultaneously?
I want to have this view for all my images like in a gallery:
