reshape image error: 'tuple' object cannot be interpreted as an integer
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im=Image.open("/Users/shalinsavalia/Desktop/CNN_Numbers/Number_7.jpg")
im
im=im.resize((28, 28), Image.ANTIALIAS) # resize the image
im = np.array(im) # convert to an array
print(im)
im2=im/np.max(im).astype(float) # normalise input
test_image1=np.reshape(im2, [1,784]) # reshape it to our input placeholder shape
pred=(sess.run(y_predicted,
feed_dict={
x:test_image1
}))
predicted_class=np.argmax(pred)
print "Predicted class : {}" .format(predicted_class)
Error in result is:
Traceback (most recent call last)
<ipython-input-161-782995cc25e1> in <module>()
----> 1 im = im.resize((28, 28), Image.ANTIALIAS)
2 im = np.array(im)
3 im2 = im//np.max(im).astype(float)
4 test_image1 = np.reshape(im2, [784,4])
TypeError: 'tuple' object cannot be interpreted as an integer
image numpy
edited Nov 19 at 18:22
hpaulj
109k674138
asked Nov 19 at 17:00
NING LU
11
add a comment |
up vote
0
down vote
favorite
im=Image.open("/Users/shalinsavalia/Desktop/CNN_Numbers/Number_7.jpg")
im
im=im.resize((28, 28), Image.ANTIALIAS) # resize the image
im = np.array(im) # convert to an array
print(im)
im2=im/np.max(im).astype(float) # normalise input
test_image1=np.reshape(im2, [1,784]) # reshape it to our input placeholder shape
pred=(sess.run(y_predicted,
feed_dict={
x:test_image1
}))
predicted_class=np.argmax(pred)
print "Predicted class : {}" .format(predicted_class)
Error in result is:
Traceback (most recent call last)
<ipython-input-161-782995cc25e1> in <module>()
----> 1 im = im.resize((28, 28), Image.ANTIALIAS)
2 im = np.array(im)
3 im2 = im//np.max(im).astype(float)
4 test_image1 = np.reshape(im2, [784,4])
TypeError: 'tuple' object cannot be interpreted as an integer
image numpy
edited Nov 19 at 18:22
hpaulj
109k674138
asked Nov 19 at 17:00
NING LU
11
Can you please edit your question to format the code?
– user8408080
Nov 19 at 17:02
The error is in the resize method, not reshape, That's aImageissue, not a numpy one.
– hpaulj
Nov 19 at 18:21
@user8408080 I don't know what I should do.
– NING LU
Nov 20 at 12:00
@ hpaulj Can you tell me how to do it? I can't understand it.
– NING LU
Nov 20 at 12:02
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
im=Image.open("/Users/shalinsavalia/Desktop/CNN_Numbers/Number_7.jpg")
im
im=im.resize((28, 28), Image.ANTIALIAS) # resize the image
im = np.array(im) # convert to an array
print(im)
im2=im/np.max(im).astype(float) # normalise input
test_image1=np.reshape(im2, [1,784]) # reshape it to our input placeholder shape
pred=(sess.run(y_predicted,
feed_dict={
x:test_image1
}))
predicted_class=np.argmax(pred)
print "Predicted class : {}" .format(predicted_class)
Error in result is:
Traceback (most recent call last)
<ipython-input-161-782995cc25e1> in <module>()
----> 1 im = im.resize((28, 28), Image.ANTIALIAS)
2 im = np.array(im)
3 im2 = im//np.max(im).astype(float)
4 test_image1 = np.reshape(im2, [784,4])
TypeError: 'tuple' object cannot be interpreted as an integer
image numpy
edited Nov 19 at 18:22
hpaulj
109k674138
asked Nov 19 at 17:00
NING LU
11
im=Image.open("/Users/shalinsavalia/Desktop/CNN_Numbers/Number_7.jpg")
im
im=im.resize((28, 28), Image.ANTIALIAS) # resize the image
im = np.array(im) # convert to an array
print(im)
im2=im/np.max(im).astype(float) # normalise input
test_image1=np.reshape(im2, [1,784]) # reshape it to our input placeholder shape
pred=(sess.run(y_predicted,
feed_dict={
x:test_image1
}))
predicted_class=np.argmax(pred)
print "Predicted class : {}" .format(predicted_class)
Error in result is:
Traceback (most recent call last)
<ipython-input-161-782995cc25e1> in <module>()
----> 1 im = im.resize((28, 28), Image.ANTIALIAS)
2 im = np.array(im)
3 im2 = im//np.max(im).astype(float)
4 test_image1 = np.reshape(im2, [784,4])
TypeError: 'tuple' object cannot be interpreted as an integer
image numpy
image numpy
edited Nov 19 at 18:22
hpaulj
109k674138
asked Nov 19 at 17:00
NING LU
11
edited Nov 19 at 18:22
hpaulj
109k674138
asked Nov 19 at 17:00
NING LU
11
edited Nov 19 at 18:22
hpaulj
109k674138
edited Nov 19 at 18:22
hpaulj
109k674138
edited Nov 19 at 18:22
hpaulj
109k674138
109k674138
asked Nov 19 at 17:00
NING LU
11
asked Nov 19 at 17:00
NING LU
11
asked Nov 19 at 17:00
NING LU
11
11
Can you please edit your question to format the code?
– user8408080
Nov 19 at 17:02
The error is in the resize method, not reshape, That's aImageissue, not a numpy one.
– hpaulj
Nov 19 at 18:21
@user8408080 I don't know what I should do.
– NING LU
Nov 20 at 12:00
@ hpaulj Can you tell me how to do it? I can't understand it.
– NING LU
Nov 20 at 12:02
add a comment |
Can you please edit your question to format the code?
– user8408080
Nov 19 at 17:02
The error is in the resize method, not reshape, That's aImageissue, not a numpy one.
– hpaulj
Nov 19 at 18:21
@user8408080 I don't know what I should do.
– NING LU
Nov 20 at 12:00
@ hpaulj Can you tell me how to do it? I can't understand it.
– NING LU
Nov 20 at 12:02
Can you please edit your question to format the code?
– user8408080
Nov 19 at 17:02
Can you please edit your question to format the code?
– user8408080
Nov 19 at 17:02
The error is in the resize method, not reshape, That's a
Image issue, not a numpy one.– hpaulj
Nov 19 at 18:21
The error is in the resize method, not reshape, That's a
Image issue, not a numpy one.– hpaulj
Nov 19 at 18:21
@user8408080 I don't know what I should do.
– NING LU
Nov 20 at 12:00
@user8408080 I don't know what I should do.
– NING LU
Nov 20 at 12:00
@ hpaulj Can you tell me how to do it? I can't understand it.
– NING LU
Nov 20 at 12:02
@ hpaulj Can you tell me how to do it? I can't understand it.
– NING LU
Nov 20 at 12:02
add a comment |
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Can you please edit your question to format the code?
– user8408080
Nov 19 at 17:02
The error is in the resize method, not reshape, That's a
Imageissue, not a numpy one.– hpaulj
Nov 19 at 18:21
@user8408080 I don't know what I should do.
– NING LU
Nov 20 at 12:00
@ hpaulj Can you tell me how to do it? I can't understand it.
– NING LU
Nov 20 at 12:02