def run(self):
noiseMap = numpy.zeros((self.width, self.height))
# pure python version
sn = SimplexNoise(period=self.width)
persistance = 0.5
octaves = [1, 2, 4, 8, 16]
for octave in octaves:
freq = 16.0 * octave
for y in range(self.height):
for x in range(self.width):
fn = sn.noise2(x / freq, y / freq)
noiseMap[x, y] += fn * persistance
persistance *= 2
# octaves = 5
# freq = 16.0 * octaves
# for y in xrange(self.height):
# for x in xrange(self.width):
# fn = snoise2(x / freq, y / freq, octaves=octaves, persistence=0.5, lacunarity=2.0, repeatx=self.width, repeaty=self.height, base=0.0)
# noiseMap[x,y] = fn
#print noiseMap
#noiseMap = numpy.gradient(noiseMap).shape((self.width, self.height))
#print noiseMap
self.heightmap = noiseMap
def run( self ):
noiseMap = numpy.zeros((self.width, self.height))
# pure python version
sn = SimplexNoise(period = self.width)
persistance = 0.5
octaves = [1, 2, 4, 8, 16]
for octave in octaves:
freq = 16.0 * octave
for y in range(self.height):
for x in range(self.width):
fn = sn.noise2( x/freq, y/freq )
noiseMap[x,y] += fn * persistance
persistance *= 2
# octaves = 5
# freq = 16.0 * octaves
# for y in xrange(self.height):
# for x in xrange(self.width):
# fn = snoise2(x / freq, y / freq, octaves=octaves, persistence=0.5, lacunarity=2.0, repeatx=self.width, repeaty=self.height, base=0.0)
# noiseMap[x,y] = fn
#print noiseMap
#noiseMap = numpy.gradient(noiseMap).shape((self.width, self.height))
#print noiseMap
self.heightmap = noiseMap
class Perlin(NoiseGenerator):
def __init__(self, period: int = 256, octaves: int = 0):
self.simplex_noise = SimplexNoise(period=period)
self.octaves = octaves
def get_noise(self, x: int, y: int):
noise_value = self.__build_noise(x, y) + 1
return int(noise_value * 100 / 2)
def __build_noise(self, x: int, y: int):
noise_value = self.simplex_noise.noise2(x, y)
for octave in range(self.octaves):
exp = pow(2, octave)
noise_value += self.simplex_noise.noise2(x * exp,
y * exp / 2) / exp
return noise_value
def run( self ):
noiseMap = numpy.zeros((self.width, self.height))
sn = SimplexNoise()
octaves = 1
for octaves in xrange (1,17):
sn.randomize()
print octaves
freq = 128.0 * octaves
for y in xrange(self.width):
for x in xrange(self.height):
fn = sn.noise2( x/freq, y/freq )
noiseMap[x,y] += fn
#break
#print noiseMap
self.heightmap = compressHeightmap(noiseMap)
def run(self):
noiseMap = numpy.zeros((self.width, self.height))
sn = SimplexNoise()
octaves = 1
for octaves in xrange(1, 17):
sn.randomize()
print octaves
freq = 128.0 * octaves
for y in xrange(self.width):
for x in xrange(self.height):
fn = sn.noise2(x / freq, y / freq)
noiseMap[x, y] += fn
#break
#print noiseMap
self.heightmap = compressHeightmap(noiseMap)