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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
import numpy as np
import noise
from noise import snoise2
import os
import sys
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
argc = len(sys.argv)
@ -75,8 +94,16 @@ niter = int(get_setting('niter', 10))
### MAKE INITIAL TOPOGRAPHY
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
params = {
"offset" : offset,
"vscale" : vscale,
"scale" : scale,
"octaves" : int(np.ceil(np.log2(mapsize)))+1,
"persistence" : persistence,
"lacunarity" : lacunarity,
@ -88,25 +115,12 @@ params_sealevel = {
"lacunarity" : 2,
}
# Determine noise offset randomly
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
n = noisemap(mapsize+1, mapsize+1, **params)
### COMPUTE LANDSCAPE EVOLUTION
# Initialize landscape evolution 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...')
dt = time/niter
@ -116,7 +130,7 @@ dt = time/niter
for i in range(niter):
disp_niter = 'Iteration {:d} of {:d}...'.format(i+1, niter)
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)
print(disp_niter)
print('Diffusion')