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Added function 'noisemap' to generate a noise map with a quite unified parameter set, and an option for logarithmic noise. For future use.

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Gael-de-Sailly 2020-12-22 01:44:03 +01:00
parent 2a9335332b
commit 9ffa150263
1 changed files with 31 additions and 17 deletions
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48
generate.py
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@ -1,12 +1,31 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
import numpy as np import numpy as np
import noise from noise import snoise2
import os import os
import sys import sys
import terrainlib import terrainlib
def noisemap(X, Y, scale=0.01, vscale=1.0, offset=0.0, log=False, **params):
# Determine noise offset randomly
xbase = np.random.randint(8192)-4096
ybase = np.random.randint(8192)-4096
if log:
vscale /= offset
# Generate the noise
n = np.zeros((X, Y))
for x in range(X):
for y in range(Y):
n[x,y] = snoise2(x/scale + xbase, y/scale + ybase, **params)
if log:
return np.exp(n*vscale) * offset
else:
return n*vscale + offset
### PARSE COMMAND-LINE ARGUMENTS ### PARSE COMMAND-LINE ARGUMENTS
argc = len(sys.argv) argc = len(sys.argv)
@ -75,8 +94,16 @@ niter = int(get_setting('niter', 10))
### MAKE INITIAL TOPOGRAPHY ### MAKE INITIAL TOPOGRAPHY
n = np.zeros((mapsize+1, mapsize+1)) n = np.zeros((mapsize+1, mapsize+1))
if sea_level_variations != 0.0:
sea_ybase = np.random.randint(8192)-4096
sea_level_ref = snoise2(time * (1-1/niter) / sea_level_variations, sea_ybase, **params_sealevel) * sea_level_variations
offset -= (sea_level_ref + sea_level)
# Set noise parameters # Set noise parameters
params = { params = {
"offset" : offset,
"vscale" : vscale,
"scale" : scale,
"octaves" : int(np.ceil(np.log2(mapsize)))+1, "octaves" : int(np.ceil(np.log2(mapsize)))+1,
"persistence" : persistence, "persistence" : persistence,
"lacunarity" : lacunarity, "lacunarity" : lacunarity,
@ -88,25 +115,12 @@ params_sealevel = {
"lacunarity" : 2, "lacunarity" : 2,
} }
# Determine noise offset randomly n = noisemap(mapsize+1, mapsize+1, **params)
xbase = np.random.randint(8192)-4096
ybase = np.random.randint(8192)-4096
if sea_level_variations != 0.0:
sea_ybase = np.random.randint(8192)-4096
sea_level_ref = noise.snoise2(time * (1-1/niter) / sea_level_variations, sea_ybase, **params_sealevel) * sea_level_variations
offset -= (sea_level_ref + sea_level)
# Generate the noise
for x in range(mapsize+1):
for y in range(mapsize+1):
n[x,y] = noise.snoise2(x/scale + xbase, y/scale + ybase, **params)
nn = n*vscale + offset
### COMPUTE LANDSCAPE EVOLUTION ### COMPUTE LANDSCAPE EVOLUTION
# Initialize landscape evolution model # Initialize landscape evolution model
print('Initializing model') print('Initializing model')
model = terrainlib.EvolutionModel(nn, K=K, m=m, d=d, sea_level=sea_level, flex_radius=flex_radius) model = terrainlib.EvolutionModel(n, K=K, m=m, d=d, sea_level=sea_level, flex_radius=flex_radius)
terrainlib.update(model.dem, model.lakes, t=5, sea_level=model.sea_level, title='Initializing...') terrainlib.update(model.dem, model.lakes, t=5, sea_level=model.sea_level, title='Initializing...')
dt = time/niter dt = time/niter
@ -116,7 +130,7 @@ dt = time/niter
for i in range(niter): for i in range(niter):
disp_niter = 'Iteration {:d} of {:d}...'.format(i+1, niter) disp_niter = 'Iteration {:d} of {:d}...'.format(i+1, niter)
if sea_level_variations != 0: if sea_level_variations != 0:
model.sea_level = noise.snoise2((i*dt)/sea_level_variations_time, sea_ybase, **params_sealevel) * sea_level_variations - sea_level_ref model.sea_level = snoise2((i*dt)/sea_level_variations_time, sea_ybase, **params_sealevel) * sea_level_variations - sea_level_ref
terrainlib.update(model.dem, model.lakes, sea_level=model.sea_level, title=disp_niter) terrainlib.update(model.dem, model.lakes, sea_level=model.sea_level, title=disp_niter)
print(disp_niter) print(disp_niter)
print('Diffusion') print('Diffusion')