#!/usr/bin/env python

import sys

from the_semantic_db_code import *
from the_semantic_db_functions import *
from the_semantic_db_processor import *

C = context_list("image pixels")

# start here:
# google: "python extract pixel values from image"
# http://stackoverflow.com/questions/138250/read-the-rgb-value-of-a-given-pixel-in-python-programatically
# http://www.lfd.uci.edu/~gohlke/pythonlibs/#pillow
#
# good stuff here:
# http://www.processing.org/tutorials/pixels/
# http://en.wikipedia.org/wiki/Standard_test_image
# FERET database (DARPA/NIST face recognition database)
# http://en.wikipedia.org/wiki/FERET_database



from PIL import Image

im = Image.open("image-play/Lenna.png")
im = Image.open("image-play/220px-Lenna.png")
pix = im.load()
print(im.size)

print(pix[30,30])
print(pix[100,100])

r,g,b,a = pix[200,200]
print("r:",r)
print("g:",g)
print("b:",b)
print("a:",a)

w = im.size[0]
h = im.size[1]
print("w:",w)
print("h:",h)

#sys.exit(0)
print()

filename = "sw-examples/200-lenna.sw"
with open(filename,'w') as f:

  for i in range(w):
    for j in range(h):
#    print(pix[i,j])
      r,g,b,a = pix[i,j]
      f.write("value |pixel: " + str(i) + ": " + str(j) + "> => " + str(ket("r",r) + ket("g",g) + ket("b",b) + ket("a",a)) + "\n")