Hi all,

I've made this simple class to create a grayscale image:

from PIL import Image, ImageFilter
from numpy import array

class ScaleUtils():
    def __init__(self, p, h=28, w=28):
        self.im = Image.open(p)
        self.size = (h,w)
    def toGrey(self):
        self.im = self.im.convert("L")
        return self
    def resize(self):
        self.im = self.im.resize(self.size)
        return self
    def getArray(self):
        return array(self.im)
    def getImage(self):
        return self.im
    def run(self):
        return self.toGrey().resize().getArray()

if __name__ == "__main__":
    #ScaleUtils("test.jpg").toGrey().resize().getImage().save("output.jpg", "JPEG")
    print(ScaleUtils("test.jpg").toGrey().resize().getArray())

Can I be certain that this will produce everytime an array with values between 0-255 for every given image? Thanks

Consider the following image:

Image

If you zoom in, you will observe that the picture contains pixels of the form (0,0,0,x) in RGBA format (I have used pillow to verify this btw). What I want to do is if the pixel's alpha is less than equal to 200, then write (0,0,0,0) at the pixel's place, and if it is greater than 200 then write (0,0,0,255) at the pixel's place.

Here's my code rn:

from PIL import Image
import numpy as np

def inp_gen(img_path):
    im = Image.open(img_path, 'r')
    pix_vals = list(im.getdata())
    layer = [x[3] for x in pix_vals]
    for j in layer:
        if j <= 200:
            layer[layer.index(j)] = 0
        if j > 200:
            layer[layer.index(j)] = 1 
    return layer

def render_img(img_data):
    image_data = [(0,0,0,255*x) for x in img_data]
    data = np.array(image_data, dtype=np.uint8).T
    image = Image.fromarray(data)
    image.show() 

render_img(img_gen("Path to image in drive link on my PC"))

Sadly, this does not give me the output I want:

Output

So what should I do now?