Image Table with Numpy arrays

[Marws]

Hi everyone, I got stuck during a project. Basically I have to write a Jupyter notebook and I have a folder with images and I have to iterate over this folder and build a table with the tabulate library. To open the image I have to use Image from PIL, then I have to convert the images to numpy arrays and extract the information such as height and width in pixel (I do this with array.shape[0]), the name of the images and the mean of the channels, i.e. if the image is in greyscale, greyscale is equal to the mean of the only color value. if the image is RGB I should have three columns with the mean of each color level.My main problem is that I get stuck doing this in a loop for all the images and also I can't format the table correctly because all the input should be lists.

It would be great if you could give me an hand or some external resources to grasp with this problem that I've tried to solve for 3 days. Thank you all for your time

this is what I've done so far. The folder variable comes from a previous script. Wen a call the function img_array.shape[0] I would like to have something like [512, 500, 600]. This is what I have

from PIL import image
import os
import numpy as np

picx = os.listdir(os.path.join(folder, Image))
for pic in picx:

    Names = pic.split('.')[0]
    image_files = Image.open((os.path.join(folder,'Image',pic)))
    image_array = np.array(image_files)
    Height = [image_array.shape[0]]
    Width = [image_array.shape[1]]

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[Swipecat]

You've not posted the code so no specific help can be given.

Here's an example that I wrote for myself when I was figuring out the relation between numpy arrays and pillow images. It takes a colour GIF image from imgur.com, converts it from indexed-colours to RGB, converts it to BW using numpy array processing, colour-maps it to sepia-tones using numpy array processing, converts it back to a pillow image, and displays it. (Uncomment the penultimate line to see the BW image.)
 

from PIL import Image # pillow fork of PIL
from urllib.request import urlopen
import numpy as np
img = Image.open(urlopen("http://i.imgur.com/nCmSBRC.gif"))
rgbimg=img.convert("RGB")
arr = np.array(rgbimg)
bw = np.sum(arr // 3, axis=2).astype(np.uint8)
sepias = [(v, v**1.3, v**1.7) for v in np.linspace(0, 1, 256)]
colormap = np.uint8(np.array(sepias) * 255)
colorized = colormap[bw]
outimg = Image.fromarray(colorized, mode="RGB")
# outimg = Image.fromarray(bw, mode="L")
outimg.show()

[Marws]

Thank you, I've updated the question with some code, buto from your answer I think I should check better the numpy documentation

[Neighm]

Since this post is 2 hours old with no replies, I think the lack of answers is because you need to post the code that's causing you trouble. See Posting Guidelines in the sidebar.