How to slice odd sites from image and then put them back on their original position?
In the following code there is only one image, image height is 6 and input channels are 1. I want to slice odd sites from the image. How can I do that? And after slicing can I put back the same pixels on their original position?
`input = tf.Variable(tf.random_normal([1,6,1]))
sess = tf.Session()
init = tf.initialize_all_variables()
sess.run(init)
data = sess.run(input)
print(data)
print(data.shape)`
tensorflow
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In the following code there is only one image, image height is 6 and input channels are 1. I want to slice odd sites from the image. How can I do that? And after slicing can I put back the same pixels on their original position?
`input = tf.Variable(tf.random_normal([1,6,1]))
sess = tf.Session()
init = tf.initialize_all_variables()
sess.run(init)
data = sess.run(input)
print(data)
print(data.shape)`
tensorflow
add a comment |
In the following code there is only one image, image height is 6 and input channels are 1. I want to slice odd sites from the image. How can I do that? And after slicing can I put back the same pixels on their original position?
`input = tf.Variable(tf.random_normal([1,6,1]))
sess = tf.Session()
init = tf.initialize_all_variables()
sess.run(init)
data = sess.run(input)
print(data)
print(data.shape)`
tensorflow
In the following code there is only one image, image height is 6 and input channels are 1. I want to slice odd sites from the image. How can I do that? And after slicing can I put back the same pixels on their original position?
`input = tf.Variable(tf.random_normal([1,6,1]))
sess = tf.Session()
init = tf.initialize_all_variables()
sess.run(init)
data = sess.run(input)
print(data)
print(data.shape)`
tensorflow
tensorflow
edited Nov 28 '18 at 16:38
K.Dᴀᴠɪs
7,330112440
7,330112440
asked Nov 28 '18 at 11:07
R.joeR.joe
46
46
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add a comment |
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