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 | 1 | initial version |
Thank you, guys. I found a problem. Error, actually was in the number of channels and decided to replace the lines:
x = tf.placeholder(tf.float32, shape=[None, img_height, img_width], name='x_input')
x_image = tf.reshape(x, [-1, img_height, img_width, num_channels])
with these:
x_image = tf.placeholder(tf.float32, shape=[None, img_height, img_width, num_channels], name='x_input')
| | 2 | No.2 Revision |
@berak , @dkurt Thank you, guys. I found a problem. Error, actually was in the number of channels and decided to replace the lines:
x = tf.placeholder(tf.float32, shape=[None, img_height, img_width], name='x_input')
x_image = tf.reshape(x, [-1, img_height, img_width, num_channels])
with these:
x_image = tf.placeholder(tf.float32, shape=[None, img_height, img_width, num_channels], name='x_input')