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- from re import M
- from PIL import Image
- def calc_X_metric(pixels: list[tuple[int, int, int]]) -> float:
- return sum(x * x + y * y + z * z for x, y, z in pixels) / len(pixels)
- def calc_Y_metric(pixels: list[tuple[int, int, int]]) -> tuple[float, float, float]:
- r_sum = 0
- g_sum = 0
- b_sum = 0
- for r, g, b in pixels:
- r_sum += r
- g_sum += g
- b_sum += b
- factor = 2 / len(pixels)
- return (r_sum * factor, g_sum * factor, b_sum * factor)
- def read_png_data(img_name: str) -> list[tuple[int, int, int]]:
- return [(r, g, b) for r, g, b, a in Image.open(img_name).convert("RGBA").getdata() if a > 0]
- def ingest_png(file_name: str):
- print(f"Ingesting {file_name}")
- data = read_png_data(file_name)
- x = calc_X_metric(data)
- y = calc_Y_metric(data)
- name = file_name.rsplit("/", maxsplit=1)[1].split(".", maxsplit=1)[0]
- return name, x, *y
- if __name__ == "__main__":
- import csv
- import os
- data = [ingest_png("pngs/" + fn) for f in os.listdir("pngs") if (fn := os.fsdecode(f)).endswith(".png")]
- with open("database.csv", "w") as outfile:
- writer = csv.writer(outfile, delimiter=",", quotechar="'")
- writer.writerows(data)
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