large_image | Python modules to work with large multiresolution images

I am writing a program where I chop up an image into many sub-tiles, process the tiles, then stitch them together. I am stuck at the stitching part. When I run my code, after the first row the tiles each shift one space over. I am working with 1000x1000 tiles and the image size can be variable. I also get this ugly horizontal padding that I can't figure out how to get rid of. Here is a google drive link to the images: https://drive.google.com/drive/folders/1HqRl29YlWUrsYoZP88TAztJe9uwgP5PS?usp=sharing

Clarification based on the comments

I take the original black and white image and crop it into 1000px x 1000px black and white tiles. These tiles are then re-colored to replace the white with a color corresponding to a density heatmap. The recolored tiles are then saved into that folder. The picture I included is one of the colored in tiles that I am trying to piece back together. When pieced together it should be the same shape but multi colored version of the black and white image

I am using the patchify library to create patches of a bigger .jpg image. I am using the following code, taken from this YT video: https://www.youtube.com/watch?v=7IL7LKSLb9I&ab_channel=DigitalSreeni

When the YT guy reads his images (12 tiff images) he gets the following size for the large_image_stack variable: (12, 768, 1024), i.e. 12 images each of those is 768x1024.

I have a single jpg image of 3000x4000 and the size I am getting for large_image_stack variable is (3000, 4000, 3). So then I run the code...

I want to find this icon with transparent background

in this image

I tried the following code:

I have a very large Pillow image(1920x~40,000) that I'm doing some manipulation on, would it be better practice to store the image as a global variable and have my function reference it from there, or to pass the image into a function multiple times per seconds?

For example:

I'm fairly new to Python and Selenium.

My goal is to automate the process of googling a phrase, clicking the first image present in the image results page, waiting for the larger image to load, and then downloading and saving that larger image to a local directory. (The idea is to save a higher-quality version of the image than those initially present in the search results.)

Here's my code that works to download only the initial "smaller" images. (I've omitted all imports, etc., for brevity):

I might miss some basic vue.js knowledge, but I have the following question related to and specifically srcset

I have different formats of the same image coming from my api, like this: