In order to re-train using previous checkpoint,
I try to change the following code in "model.py":
`self.saver = tf.train.Saver(max_to_keep=50, keep_checkpoint_every_n_hours=1)
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess, coord=coord)
However, I have an error of
ValueError: Can't load save_path when it is None
in the line of
saver.restore(sess, [tf.train.latest_checkpoint(r'./checkpoints/color/'))]
In order to re-train using previous checkpoint, I try to change the following code in "model.py": `self.saver = tf.train.Saver(max_to_keep=50, keep_checkpoint_every_n_hours=1) coord = tf.train.Coordinator() threads = tf.train.start_queue_runners(sess=sess, coord=coord)
summary_op = tf.summary.merge_all() summary_writer = tf.summary.FileWriter(self.train_dir, sess.graph, flush_secs=30)`
to: `# training summary summary_op = tf.summary.merge_all() summary_writer = tf.summary.FileWriter(self.train_dir, sess.graph, flush_secs=30)
saver = tf.train.import_meta_graph(r'./checkpoints/color/deblur.model-523000.meta') saver.restore(sess, tf.train.latest_checkpoint(r'./checkpoints/color/')) self.saver = saver
coord = tf.train.Coordinator() threads = tf.train.start_queue_runners(sess=sess, coord=coord)`
However, I have an error of
ValueError: Can't load save_path when it is Nonein the line ofsaver.restore(sess, [tf.train.latest_checkpoint(r'./checkpoints/color/'))]