Converting image into pixel array

Question

I'm trying to convert a grayscale image's pixels into a numpy array.

Working on google colab.

it shows an error saying: TypeError: 'numpy.uint8' object is not iterable

enter code here

    ##load Library
    import numpy as np
    import matplotlib.pyplot as plt
    import matplotlib.image as mpimg
    from google.colab import files
    from scipy import misc #to see image
    from sklearn.model_selection import train_test_split
    from sklearn.linear_model import LogisticRegression

    from PIL import Image
    pil_im = Image.open('papa.png')
    pil_imgray = pil_im.convert('LA')

    img = np.array(list(pil_imgray.getdata(band=0)), float)
    img.shape = (pil_imgray.size[1], pil_imgray.size[0])
    plt.imshow(img)

    for eachRow in img:
      for eachPixel in eachRow:
          x_test.append(sum(eachPixel)/3.0)

I which line does your error occur?

Randrian
– Randrian

2019-02-02 07:17:02 +00:00
Commented Feb 2, 2019 at 7:17 — Randrian
– Randrian, Commented Feb 2, 2019 at 7:17
Last line when i try to iterate x_test

Ojasvi Jain
– Ojasvi Jain

2019-02-03 08:23:35 +00:00
Commented Feb 3, 2019 at 8:23 — Ojasvi Jain
– Ojasvi Jain, Commented Feb 3, 2019 at 8:23

Randrian · Accepted Answer · 2019-02-02 07:16:34Z

1

You can directly load the image using matplotlib:

plt.imread('papa.png')

or you can convert your PIL image with:

img = np.asarray(pil_im)

answered Feb 2, 2019 at 7:16

Randrian

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2 Comments

Ojasvi Jain Over a year ago

it shows an error saying: NameError: name 'pil_im' is not defined

Randrian Over a year ago

well, pil_im has to be defined. But you had the line pil_im = Image.open('papa.png') loading the image and storing it in the variable pil_im.

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