def proc_plank(m):
data['img_name'] = "plank"
matrix = m
count = 0
for y in range(var['height']['var']):
for x in range(var['width']['var']):
index = (y * var['width']['var']) + x
R, G, B = RGB(1)
if x % int(var['width']['var'] /
int(var['width']['var'] / var['density']['var'])) == 0:
chance = randint(0, 100)
if chance < var['grain']['var']:
R, G, B = RGB(var['texture']['var'])
if x % int(var['width']['var'] / var['count']['var']) == 0:
count += 1
R, G, B = RGB(var['line']['var'])
if y % int(var['height']['var'] /
var['stagger']['var']) == 0 and count % 2 == 0:
R, G, B = RGB(var['line']['var'])
if y % int(var['height']['var'] / var['stagger']['var']) == int(
var['height']['var'] /
int(var['stagger']['var'] / 2)) and count % 2 == 1:
R, G, B = RGB(var['line']['var'])
if count > var['align']['var']:
count = 0
matrix[index] = data['blnd'][var['blend']['var']](
(var['R']['var'], var['G']['var'], var['B']['var']), (R, G, B))
matrix = overlay_img(matrix)
return matrix
def proc_noisy(m):
data['img_name'] = "noisy"
matrix = m
for y in range(var['height']['var']):
for x in range(var['width']['var']):
R, G, B = RGB(1)
chance = randint(0, 100)
if chance < var['grain']['var']:
R, G, B = RGB(var['texture']['var'])
index = (y * var['width']['var']) + x
matrix[index] = data['blnd'][var['blend']['var']](
(var['R']['var'], var['G']['var'], var['B']['var']), (R, G, B))
for y in range(int(var['height']['var'] / var['count']['var'])):
for x in range(int(var['width']['var'] / var['stagger']['var'])):
R, G, B = RGB(var['line']['var'])
chance = randint(0, 100)
if chance < var['grain']['var']:
R, G, B = RGB(var['texture']['var'])
index = ((y * var['count']['var']) *
var['width']['var']) + (x * var['stagger']['var'])
matrix[index] = data['blnd'][var['blend']['var']](
(var['R']['var'], var['G']['var'], var['B']['var']), (R, G, B))
matrix = overlay_img(matrix)
return matrix
def proc_perlins(m):
matrix = m
data['img_name'] = 'perlins'
n1 = noise.Noise(2,
octaves=var['octaves']['var'],
tile=(var['density']['var'], var['density']['var']),
unbias=True,
seed=8675309)
n2 = noise.Noise(2,
octaves=var['octaves']['var'],
tile=(var['density']['var'], var['density']['var']),
unbias=True,
seed=var['seed']['var'])
for y in range(var['height']['var']):
for x in range(var['width']['var']):
index = (y * var['width']['var']) + x
mod1 = n1.get_plain_noise(x / (var['scale']['var'] * .1),
y / (var['scale']['var'] * .1))
mod2 = n2.get_plain_noise(x / (var['pack']['var'] * .1),
y / (var['pack']['var'] * .1))
R = int(var['r']['var'] * (mod1 * (var['strength']['var'] * .1)))
G = int(var['g']['var'] * (mod1 * (var['strength']['var'] * .1)))
B = int(var['b']['var'] * (mod1 * (var['strength']['var'] * .1)))
r = int(var['R']['var'] * (mod2 * (var['texture']['var'] * .1)))
g = int(var['G']['var'] * (mod2 * (var['texture']['var'] * .1)))
b = int(var['B']['var'] * (mod2 * (var['texture']['var'] * .1)))
matrix[index] = (data['blnd'][var['blend']['var']]((R, G, B),
(r, g, b)))
matrix = overlay_img(matrix)
return matrix
def proc_noise(m):
data['img_name'] = "noise"
matrix = m
for y in range(var['height']['var']):
for x in range(var['width']['var']):
index = (y * var['width']['var']) + x
R, G, B = RGB(1)
chance = randint(0, 100)
if chance < var['grain']['var']:
R, G, B = RGB(var['texture']['var'])
matrix[index] = data['blnd'][var['blend']['var']](
(var['R']['var'], var['G']['var'], var['B']['var']), (R, G, B))
matrix = overlay_img(matrix)
return matrix
def proc_gradient(m):
data['img_name'] = "gradient"
matrix = m
for y in range(var['height']['var']):
for x in range(var['width']['var']):
index = (y * var['width']['var']) + x
i = (y / (var['density']['var'] * .1)) + 1
R, G, B = RGB(i)
chance = randint(0, 100)
if chance < var['grain']['var']:
R, G, B = RGB(var['texture']['var'])
matrix[index] = data['blnd'][var['blend']['var']](
(var['R']['var'], var['G']['var'], var['B']['var']), (R, G, B))
matrix = overlay_img(matrix)
return matrix
def proc_skin(m):
data['img_name'] = "skin"
matrix = m
count = 0
for y in range(var['height']['var']):
for x in range(var['width']['var']):
index = (y * var['width']['var']) + x
R, G, B = RGB(1)
chance = randint(0, 100)
if chance < var['grain']['var']:
R, G, B = RGB(var['texture']['var'])
if y % var['count']['var'] == 0 and count % 2 == 0:
R, G, B = RGB(var['line']['var'])
count += 1
if count > var['stagger']['var']:
count = 0
matrix[index] = data['blnd'][var['blend']['var']](
(var['R']['var'], var['G']['var'], var['B']['var']), (R, G, B))
matrix = overlay_img(matrix)
return matrix
def proc_perlin(m):
matrix = m
data['img_name'] = 'perlin'
n = noise.Noise(2,
octaves=var['octaves']['var'],
tile=(var['pack']['var'], var['pack']['var']),
unbias=True,
seed=var['seed']['var'])
for y in range(var['height']['var']):
for x in range(var['width']['var']):
index = (y * var['width']['var']) + x
mod = n.get_plain_noise(x / (var['density']['var'] * .1),
y / (var['density']['var'] * .1))
R = int(var['r']['var'] * (mod * (var['strength']['var'] * .1)))
G = int(var['g']['var'] * (mod * (var['strength']['var'] * .1)))
B = int(var['b']['var'] * (mod * (var['strength']['var'] * .1)))
matrix[index] = data['blnd'][var['blend']['var']](
(var['R']['var'], var['G']['var'], var['B']['var']), (R, G, B))
matrix = overlay_img(matrix)
return matrix
