is there a way to create numpy array from a list of images?

Question

i'm trying to creat numpy array from my list that contains are 1768 images. this my code:

w = []
directory = os.listdir(PATH)
directory = sorted(directory, key=len)
for item in directory:
    img = Image.open(os.path.join(PATH, item))
    w.append(img)
    count+=1
print('w_shape: ', np.array(w, dtype='float32').shape)

and when run it, i face with this error:

TypeError: float() argument must be a string or a number, not 'JpegImageFile'

anybody can help me to solve?

What do you want the resulting array to look like? What should its shape be? What problem do you hope to solve by creating the array? — Karl Knechtel
– Karl Knechtel, Commented Jun 14, 2021 at 6:11
Question has nothing to do with artificial-intelligence - kindly do not spam irrelevant tags (removed). — desertnaut
– desertnaut, Commented Jun 21, 2021 at 0:13

Shubham · Accepted Answer · 2021-06-14 06:16:14Z

0

You are getting this error because each element of you list is a 'JpegImageFile' which is not compatible with float(). To avoid this, add the images directly as arrays to your list.
You can use np.asarray() to read the image as a numpy array. Check out the code snippet below:

w = []
directory = os.listdir(PATH)
directory = sorted(directory, key=len)
for item in directory:
    img = Image.open(os.path.join(PATH, item))
    w.append(np.asarray(img)) # convert it to an array of floats
    count+=1 
print('w_shape: ', np.array(w, dtype='float32').shape)

Note: You can also use np.array(img) instead. Check out what the difference is here

edited Jun 14, 2021 at 6:16

answered Jun 14, 2021 at 6:09

Shubham

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