def generate_full_image(color_string,seed):
r.init_def_generator(seed)
rkey = r.bind_generator()
image = np.zeros((HEIGHT,WIDTH))
p1,p2 = PS[current_iteration]
image[:,:WIDTH//2] = r.binomial_from(rkey,1,p1,size=(HEIGHT,WIDTH//2))
image[:,WIDTH//2:] = r.binomial_from(rkey,1,p2,size=(HEIGHT,WIDTH//2))
return data.upscale_nearest(
data.prepare_image_for_export(image*255),
ny=UPSCALE_FACTOR_Y,
nx=UPSCALE_FACTOR_X
)
def generate_full_image(color_string, seed):
r.init_def_generator(seed)
rkey = r.bind_generator()
p = PS[current_iteration]
image = r.binomial_from(rkey, 1, p, size=(HEIGHT, WIDTH)) * 255
return data.upscale_nearest(data.prepare_image_for_export(image),
ny=UPSCALE_FACTOR_Y,
nx=UPSCALE_FACTOR_X)
def gradient_circle(band_len, ps, rkey):
lp = len(ps)
template_height = lp * band_len
gradient_circle = np.zeros((template_height, template_height))
for i, p in enumerate(ps):
cheight = (lp - i) * band_len
c = gen.circle((template_height, template_height), cheight // 2)
p = r.binomial_from(rkey,
1,
p,
size=(template_height, template_height))
mask = c == 1
gradient_circle[mask] = p[mask]
return gradient_circle
def generate_full_image(color_string, seed):
r.init_def_generator(seed)
rkey = r.bind_generator()
image = np.zeros((HEIGHT, WIDTH))
for i in range(NUM_SEGMENTS):
start = i * SEGMENT_LENGTH
end = (i + 1) * SEGMENT_LENGTH
image[:,
start:end] = r.binomial_from(rkey,
1,
PS[i],
size=(HEIGHT, SEGMENT_LENGTH))
return data.upscale_nearest(data.prepare_image_for_export(image * 255),
ny=UPSCALE_FACTOR_Y,
nx=UPSCALE_FACTOR_X)
def generate_full_image(color_string, seed):
r.init_def_generator(seed)
rkey = r.bind_generator()
lp = len(PS)
template_height = lp * BAND_LEN
image = np.zeros((template_height, template_height))
for i, p in enumerate(PS):
cheight = (lp - i) * BAND_LEN
c = gen.circle((template_height, template_height), cheight // 2)
p = r.binomial_from(rkey,
1,
p,
size=(template_height, template_height))
mask = c == 1
image[mask] = p[mask]
return data.upscale_nearest(data.prepare_image_for_export(image * 255),
ny=UPSCALE_FACTOR_Y,
nx=UPSCALE_FACTOR_X)