from PIL import Image
import numpy as np

def remove_alpha(img_path):
    # Open image and ensure not palettised, make into Numpy array and select alpha channel
    im = Image.open(img_path).convert('RGBA')
    na = np.array(im)
    alpha = na[:, :, 3]

    # Find non-empty rows and columns
    non_empty_rows = np.where(alpha.max(axis=1) > 0)[0]
    non_empty_columns = np.where(alpha.max(axis=0) > 0)[0]

    # Copy them to new image
    opaque = na[non_empty_rows, :, :][:, non_empty_columns, :]

    # Create new image with non-empty rows and columns
    new_image = Image.fromarray(opaque)

    # Save the new image
    new_image.save(f'{tmp_img_name}.png')
    

remove_alpha(r'C:\Users\Administrator\Desktop\c.png')