Creates a semi random image, similar to a Jackson Pollock or Monet painting.
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# My original intention was to create some
# disruptive visual camoflage, inspired by the pattern on
# the bark of plane trees. The result was never quite what I intended
# and several fixes had to be incorperated to aproximate what I wanted.
# The end result is effective though and reminds me of a Jackson Pollock
# or a Monet painting.
# CODE
from Tkinter import *
from math import *
from random import*
# critical parameters, adjust to suit
W = 900 # canvas dimensions
H = 500
nLow = 25 # recursive limiter
nLayers = 5 # number of repeated paint overs
nCover = 0.8 # Adjusts probability of a particular area being painted over per sweep
nMSpan = 5.0 # Same as above, These two parameters depend upon the number of recursions
nCSpan = 2.0 # Same for colour range
# scale factor per recursion. i.e. not scale invariant
aScale = [0.1, .3, .5, 0.5,0.9,0.9,0.1,0.1,0.1,0,0,0,0,0,0,0,0,0,0,0,0]
# colours are scale invariant
aColour = [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
# The two functions AutumnPastels and DrawSplash
# can be modified to suit
def AutumnPastels(nCR, nCG, nCB):
# colour scheme
cR = ColStr(int((ZeroToOne(nCR, 8.0)) * 150) + 80) # red
cG = ColStr(int((ZeroToOne(nCG, 8.0)) * 150) + 80) # green
cB = ColStr(int((ZeroToOne(nCB, 8.0)) * 25) + 30) # blue
return '#' + cR + cG + cB
def DrawSplash(nX, nY, colour):
# simulation of paint splatter or leaves
nX2 = dist(nX, nLow / 2.0)
nY2 = dist(nY, nLow / 2.0)
for i in range(8):
nX1 = dist(nX2, nLow / 3.0)
nY1 = dist(nY2, nLow / 3.0)
nL = dist(nLow / 6.0 + 2, nLow / 3.0)
canvas.create_oval( nX1, nY1, nX1 + nL, nY1 + nL, fill = colour, width = 0)
canvas.update()
def ColStr( x):
if x > 255:
x = 0
if x < 0:
x = 255
s = "%x" % x # converts x into a hexidecimal string
if len( s) < 2:
s = '0' + s
return s
# This is a clumbsy way of recording continuity across the plane
# A dictionary would be more efficient, but it seems to work O.K.
def Load(aGrid, nX, nY, n):
# changes value if not set, or else it returns the value
if aGrid[nX][nY] == -1:
aGrid[nX][nY] = n
return n
return aGrid[nX][nY]
def ZeroToOne(nM, nSpan):
# maps the Real domain onto [0 , 1]
return atan(nM * nSpan) / pi + 0.5
def mid(n1, n2):
return int((n1 + n2) / 2)
def dist(nP, nScale):
return nP + (random() - 0.5) * nScale
def FracDown(aGrid, nX1, nY1, nX2, nY2, nTL, nTR, nBL, nBR, nLim, nRecursive, nCR, nCG, nCB):
# fractal lanscape grenerator
dx = nX2 - nX1
dy = nY2 - nY1
nS = aScale[nRecursive]
nT = dist((nTL + nTR) / 2, nS * nHorizFactor)
nL = dist((nTL + nBL) / 2, nS)
nR = dist((nTR + nBR) / 2, nS)
nB = dist((nBL + nBR) / 2, nS * nHorizFactor)
nM = dist((nTL + nTR + nBL + nBR) / 4, nS * nDiagFactor)
nSC = aColour[nRecursive]
nCR = dist(nCR, nSC)
nCG = dist(nCG, nSC)
nCB = dist(nCB, nSC)
nXm = mid(nX1, nX2)
nYm = mid(nY1, nY2)
if dx <= nLow and dy <= nLow:
if ZeroToOne(nM, nMSpan) > nLim:
DrawSplash(nXm, nYm, AutumnPastels(nCR, nCG, nCB))
return
nTL = Load(aGrid, nX1, nY2, nTL)
nTR = Load(aGrid, nX2, nY2, nTR)
nBL = Load(aGrid, nX1, nY1, nBL)
nBR = Load(aGrid, nX1, nY1, nBR)
t1 = (aGrid, nX1, nYm, nXm, nY2, nTL, nT, nL, nM, nLim, nRecursive + 1, nCR, nCG, nCB)
t2 = (aGrid, nXm, nYm, nX2, nY2, nT, nTR, nM, nR, nLim, nRecursive + 1, nCR, nCG, nCB)
t3 = (aGrid, nX1, nY1, nXm, nYm, nL, nM, nBL, nB, nLim, nRecursive + 1, nCR, nCG, nCB)
t4 = (aGrid, nXm, nY1, nX2, nYm, nM, nR, nB, nBR, nLim, nRecursive + 1, nCR, nCG, nCB)
aT = [t1,t2,t3,t4]
shuffle(aT)
for i in aT:
apply(FracDown, i)
def Frac(nLim):
aGrid = []
for i in range(W):
aGrid.append([-1] * H)
FracDown(aGrid, 0, 0, W - 1, H - 1, 0.0, 0.0, 0.0, 0.0,nLim, 1, 0.0, 0.0, 0.0)
seed()
canvas = Canvas( width = W, height = H)
canvas.pack(side = TOP)
canvas.create_rectangle( 0, 0, W, H, fill = AutumnPastels(-0.8, -0.4, -3.0), width = 0, tag ='o')
nHorizFactor = (W + 0.0) / (H + 0.0)
nDiagFactor = sqrt(H**2 + W**2) / (H + 0.0)
for i in range(nLayers):
Frac(nCover)
print 'done'
|
The program is for fun mainly. It is interesting to compare a computer generated artwork with those of abstract painters. Some research has been done into the fractal aspects of paintings.
The program may also be of use in the generation of disruptive camoflage.