ingest.py 1.1 KB

12345678910111213141516171819202122232425262728293031323334353637
  1. #!/usr/bin/env python3
  2. from PIL import Image
  3. def ingest_png(file_name: str) -> tuple[str, int, int, int, int]:
  4. print(f"Ingesting {file_name}")
  5. # image name - strip leading path and trailing extension
  6. name = file_name.rsplit("/", maxsplit=1)[1].split(".", maxsplit=1)[0]
  7. # read non-transparent pixels of image as RGB values
  8. pixels = [(r, g, b) for r, g, b, a in Image.open(file_name).convert("RGBA").getdata() if a > 0]
  9. # X metric - mean sq norm of all pixels
  10. x = sum(x * x + y * y + z * z for x, y, z in pixels) / len(pixels)
  11. # Y metrics - 2 * mean of color components
  12. yr_sum = 0
  13. yg_sum = 0
  14. yb_sum = 0
  15. for r, g, b in pixels:
  16. yr_sum += r
  17. yg_sum += g
  18. yb_sum += b
  19. yfactor = 2 / len(pixels)
  20. return name, x, yr_sum * yfactor, yg_sum * yfactor, yb_sum * yfactor
  21. if __name__ == "__main__":
  22. import csv
  23. import os
  24. data = [ingest_png("pngs/" + fn) for f in os.listdir("pngs") if (fn := os.fsdecode(f)).endswith(".png")]
  25. with open("database.csv", "w") as outfile:
  26. writer = csv.writer(outfile, delimiter=",", quotechar="'")
  27. writer.writerows(data)