From 655bc54cac2d33b0879f2c3e5cc857351b8d2ed4 Mon Sep 17 00:00:00 2001
From: Lukas Joss <lukas.joss@swisstopo.ch>
Date: Fri, 3 May 2024 11:40:59 +0200
Subject: [PATCH] PB-470: Remove average icon script

---
 scripts/generate_average_icon.py | 39 --------------------------------
 1 file changed, 39 deletions(-)
 delete mode 100644 scripts/generate_average_icon.py

diff --git a/scripts/generate_average_icon.py b/scripts/generate_average_icon.py
deleted file mode 100644
index 4dbcf60..0000000
--- a/scripts/generate_average_icon.py
+++ /dev/null
@@ -1,39 +0,0 @@
-'''
-Taken from
-https://stackoverflow.com/questions/17291455/how-to-get-an-average-picture-from-100-pictures-using-pil/17383621#17383621
-Sanity check which creates the average image from all the icon images since
-I did not want to check if every icons is offset so i just looked at the average
-'''
-import os
-
-import numpy
-from PIL import Image
-
-# Access all PNG files in directory
-image_dir = os.path.dirname(os.path.realpath(__file__)) + '/../static/images/default/'
-script_dir = os.path.dirname(os.path.realpath(__file__))
-allfiles = os.listdir(image_dir)
-imlist = [filename for filename in allfiles if filename[-4:] in [".png", ".PNG"]]
-
-# Assuming all images are the same size, get dimensions of first image
-print(imlist[0])
-w, h = Image.open(image_dir + imlist[0]).size
-N = len(imlist)
-
-# Create a numpy array of doubles to store the average (assume RGB images)
-arr = numpy.zeros((h, w, 4), numpy.double)
-
-# Build up average pixel intensities, casting each image as an array of doubles
-for im in imlist:
-    imarr = numpy.array(Image.open(image_dir + im), dtype=numpy.double)
-    print(imarr)
-    arr = arr + imarr/N
-
-# Round values in array and cast as 8-bit integer
-arr = numpy.array(numpy.round(arr), dtype=numpy.uint8)
-
-# Generate, save and preview final image
-out = Image.fromarray(arr, mode="RGBA")
-out.save(script_dir + "/Average.png")
-out.show()
-print()