How do I turn a numpy array into a tensor in “Tensorflow”?
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0
down vote
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I tried to test some learning networks after I completed training with a tensorflow.
But my test image is [512 512 1] data of channel 1 in 512 horizontal and 512 vertical pixels.
I changed the image data to a numpy array.
The tensor network should be [? 512 512 1] It looks like this.
How do I convert a numpy array to a tensor? ([512 512 1] -> [? 512 512 1])
numpy tensorflow
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
add a comment |
up vote
0
down vote
favorite
I tried to test some learning networks after I completed training with a tensorflow.
But my test image is [512 512 1] data of channel 1 in 512 horizontal and 512 vertical pixels.
I changed the image data to a numpy array.
The tensor network should be [? 512 512 1] It looks like this.
How do I convert a numpy array to a tensor? ([512 512 1] -> [? 512 512 1])
numpy tensorflow
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
What is the leading?dimension for?
– cheersmate
Nov 9 at 9:32
A message says ... ValueError: Cannot feed value of shape (512, 512, 1) for Tensor 'images:0', which has shape '(?, 512, 512, 1)'
– ddjfjfj djfiejdn
Nov 9 at 9:38
Yes, but what is the?dimension? Batch size?
– cheersmate
Nov 9 at 9:46
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I tried to test some learning networks after I completed training with a tensorflow.
But my test image is [512 512 1] data of channel 1 in 512 horizontal and 512 vertical pixels.
I changed the image data to a numpy array.
The tensor network should be [? 512 512 1] It looks like this.
How do I convert a numpy array to a tensor? ([512 512 1] -> [? 512 512 1])
numpy tensorflow
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
I tried to test some learning networks after I completed training with a tensorflow.
But my test image is [512 512 1] data of channel 1 in 512 horizontal and 512 vertical pixels.
I changed the image data to a numpy array.
The tensor network should be [? 512 512 1] It looks like this.
How do I convert a numpy array to a tensor? ([512 512 1] -> [? 512 512 1])
numpy tensorflow
numpy tensorflow
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
asked Nov 9 at 9:29
ddjfjfj djfiejdn
424
424
What is the leading?dimension for?
– cheersmate
Nov 9 at 9:32
A message says ... ValueError: Cannot feed value of shape (512, 512, 1) for Tensor 'images:0', which has shape '(?, 512, 512, 1)'
– ddjfjfj djfiejdn
Nov 9 at 9:38
Yes, but what is the?dimension? Batch size?
– cheersmate
Nov 9 at 9:46
add a comment |
What is the leading?dimension for?
– cheersmate
Nov 9 at 9:32
A message says ... ValueError: Cannot feed value of shape (512, 512, 1) for Tensor 'images:0', which has shape '(?, 512, 512, 1)'
– ddjfjfj djfiejdn
Nov 9 at 9:38
Yes, but what is the?dimension? Batch size?
– cheersmate
Nov 9 at 9:46
What is the leading
? dimension for?– cheersmate
Nov 9 at 9:32
What is the leading
? dimension for?– cheersmate
Nov 9 at 9:32
A message says ... ValueError: Cannot feed value of shape (512, 512, 1) for Tensor 'images:0', which has shape '(?, 512, 512, 1)'
– ddjfjfj djfiejdn
Nov 9 at 9:38
A message says ... ValueError: Cannot feed value of shape (512, 512, 1) for Tensor 'images:0', which has shape '(?, 512, 512, 1)'
– ddjfjfj djfiejdn
Nov 9 at 9:38
Yes, but what is the
? dimension? Batch size?– cheersmate
Nov 9 at 9:46
Yes, but what is the
? dimension? Batch size?– cheersmate
Nov 9 at 9:46
add a comment |
1 Answer
1
active
oldest
votes
up vote
2
down vote
accepted
You just have to append one dimension
arr = your_image # [512, 512, 1]
new_arr = np.expand_dims(arr, 0)
tensor = tf.convert_to_tensor(new_arr)
Now you can use feed dict or something else.
answered Nov 9 at 9:59
Lau
349214
thsnks you very very much!
– ddjfjfj djfiejdn
Nov 12 at 2:29
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
You just have to append one dimension
arr = your_image # [512, 512, 1]
new_arr = np.expand_dims(arr, 0)
tensor = tf.convert_to_tensor(new_arr)
Now you can use feed dict or something else.
answered Nov 9 at 9:59
Lau
349214
thsnks you very very much!
– ddjfjfj djfiejdn
Nov 12 at 2:29
add a comment |
up vote
2
down vote
accepted
You just have to append one dimension
arr = your_image # [512, 512, 1]
new_arr = np.expand_dims(arr, 0)
tensor = tf.convert_to_tensor(new_arr)
Now you can use feed dict or something else.
answered Nov 9 at 9:59
Lau
349214
thsnks you very very much!
– ddjfjfj djfiejdn
Nov 12 at 2:29
add a comment |
up vote
2
down vote
accepted
up vote
2
down vote
accepted
You just have to append one dimension
arr = your_image # [512, 512, 1]
new_arr = np.expand_dims(arr, 0)
tensor = tf.convert_to_tensor(new_arr)
Now you can use feed dict or something else.
answered Nov 9 at 9:59
Lau
349214
You just have to append one dimension
arr = your_image # [512, 512, 1]
new_arr = np.expand_dims(arr, 0)
tensor = tf.convert_to_tensor(new_arr)
Now you can use feed dict or something else.
answered Nov 9 at 9:59
Lau
349214
answered Nov 9 at 9:59
Lau
349214
answered Nov 9 at 9:59
Lau
349214
answered Nov 9 at 9:59
Lau
349214
349214
thsnks you very very much!
– ddjfjfj djfiejdn
Nov 12 at 2:29
add a comment |
thsnks you very very much!
– ddjfjfj djfiejdn
Nov 12 at 2:29
thsnks you very very much!
– ddjfjfj djfiejdn
Nov 12 at 2:29
thsnks you very very much!
– ddjfjfj djfiejdn
Nov 12 at 2:29
add a comment |
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What is the leading
?dimension for?– cheersmate
Nov 9 at 9:32
A message says ... ValueError: Cannot feed value of shape (512, 512, 1) for Tensor 'images:0', which has shape '(?, 512, 512, 1)'
– ddjfjfj djfiejdn
Nov 9 at 9:38
Yes, but what is the
?dimension? Batch size?– cheersmate
Nov 9 at 9:46