ValueError: could not convert string to float 'jpg' Python

Question

I have this code:

test_image = image.load_img('dataset/kot/cat.1633.jpg', target_size = (64, 64))
test_image = image.img_to_array('cat.1633.jpg')

I get this error:

File "<string>", line 566, in run_nodebug
File "C:\Users\Nixid\Desktop\ta.py", line 37, in <module>
test_image = image.img_to_array('cat.1633.jpg')
File "C:\Users\Nixid\AppData\Local\Programs\Python\Python35\lib\site- 
packages\keras_preprocessing\image.py", line 423, in img_to_array
x = np.asarray(img, dtype=backend.floatx())
File "C:\Users\Nixid\AppData\Local\Programs\Python\Python35\lib\site- 
packages\numpy\core\numeric.py", line 492, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: could not convert string to float: 'cat.1633.jpg'

How to fix this?

Try test_image = image.img_to_array(test_image) instead of test_image = image.img_to_array('cat.1633.jpg') — PilouPili
– PilouPili, Commented Sep 15, 2018 at 12:28

dtk · Accepted Answer · 2018-09-15 12:38:54Z

1

Kera's img_to_array() method takes a PIL.Image instance (as returned by load_img()) as its parameter, not the name of a file. So you will need to pass it the test_image you loaded in the first line:

from keras.preprocessing import image

test_image = image.load_img('dataset/kot/cat.1633.jpg', target_size=(64, 64))
test_image = image.img_to_array(test_image)

Hth :) dtk

PS As commented above, it's generally a good idea to paste the whole error message, including a stack trace, as - with some practice - that makes it much easier to understand what's going on. Also, showing the imports that are required to quickly reproduce the problem will make debugging way nicer 👍

edited Sep 15, 2018 at 12:38

answered Sep 15, 2018 at 12:09

dtk

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