dungeon heightmap and loot probability
This commit is contained in:
parent
e5d6d00834
commit
0d267afba2
15
dungeon-plot/Pipfile
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15
dungeon-plot/Pipfile
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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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perlin-noise = "*"
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opencv-python = "*"
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pillow = "*"
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[dev-packages]
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[requires]
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python_version = "3.11"
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python_full_version = "3.11.11"
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183
dungeon-plot/Pipfile.lock
generated
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183
dungeon-plot/Pipfile.lock
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@ -0,0 +1,183 @@
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{
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"_meta": {
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"hash": {
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"sha256": "2553c9eba8cb970f0e6947604776d0252df7123df82d43616277a066fc0ee1cd"
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},
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"pipfile-spec": 6,
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"requires": {
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"python_full_version": "3.11.11",
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"python_version": "3.11"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.org/simple",
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"verify_ssl": true
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}
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]
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},
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"default": {
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"version": "==2.2.4"
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"markers": "python_version >= '3.6'",
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"version": "==4.11.0.86"
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},
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"perlin-noise": {
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"hashes": [
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"index": "pypi",
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"version": "==1.13"
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},
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"pillow": {
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"hashes": [
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||||
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||||
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|
||||
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|
||||
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|
||||
}
|
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},
|
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"develop": {}
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}
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102
dungeon-plot/dungeon.py
Normal file
102
dungeon-plot/dungeon.py
Normal file
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import matplotlib.pyplot as plt
|
||||
from matplotlib import colors
|
||||
import numpy as np
|
||||
from perlin_noise import PerlinNoise
|
||||
import cv2 as cv
|
||||
import os
|
||||
from PIL import Image
|
||||
import sys
|
||||
|
||||
data = np.random.rand(16, 16)
|
||||
|
||||
|
||||
def generate_base_map(filename):
|
||||
print("generating base map...")
|
||||
|
||||
cmap = colors.ListedColormap(['white', 'black'])
|
||||
bounds = [0, .5, 1]
|
||||
norm = colors.BoundaryNorm(bounds, cmap.N)
|
||||
|
||||
#dpi=96
|
||||
#size=512
|
||||
#fig, ax = plt.subplots(1, 1, figsize=(size/dpi, size/dpi))
|
||||
fig, ax = plt.subplots()
|
||||
ax.imshow(data, cmap=cmap, norm=norm)
|
||||
|
||||
plt.axis('off')
|
||||
|
||||
plt.savefig(filename, bbox_inches='tight', pad_inches=0)
|
||||
im = Image.open(filename)
|
||||
out = im.resize((512,512))
|
||||
out.save(filename)
|
||||
#plt.savefig('../marshroom/dungeon/dungeon.png', bbox_inches='tight', pad_inches=0, dpi=dpi)
|
||||
|
||||
|
||||
def generate_perlin(filename):
|
||||
print("generating perlin noise...")
|
||||
|
||||
noise = PerlinNoise(octaves=10, seed=1)
|
||||
xpix, ypix = 512, 512
|
||||
pic = [[noise([i/xpix, j/ypix]) for j in range(xpix)] for i in range(ypix)]
|
||||
|
||||
plt.imshow(pic, cmap='gray')
|
||||
plt.savefig(filename, bbox_inches='tight', pad_inches=0)
|
||||
im = Image.open(filename)
|
||||
out = im.resize((512,512))
|
||||
out.save(filename)
|
||||
|
||||
|
||||
def generate_loot_probability_map(filename, noise_filename, mask_filename):
|
||||
print("generating loot probabilities...")
|
||||
|
||||
#noise = cv.imread(noise_filename)
|
||||
mask = cv.imread(mask_filename, 0)
|
||||
mask = cv.bitwise_not(mask)
|
||||
|
||||
kernel_size = 32
|
||||
kernel = np.ones((kernel_size, kernel_size), np.uint8)
|
||||
eroded = cv.erode(mask, kernel)
|
||||
|
||||
# use quarter-circle kernels to build up shadows in 90 degree corners
|
||||
centres = [
|
||||
(-1, -1),
|
||||
(-1, kernel_size+1),
|
||||
(kernel_size+1, -1),
|
||||
(kernel_size+1, kernel_size+1)]
|
||||
|
||||
joined = mask.copy()
|
||||
|
||||
for centre in centres:
|
||||
circle_kernel = np.zeros((kernel_size, kernel_size), np.uint8)
|
||||
cv.circle(circle_kernel, centre, kernel_size, 255, -1)
|
||||
dilated = cv.dilate(eroded, circle_kernel, iterations=1)
|
||||
joined[dilated == 0] = 0
|
||||
|
||||
# we want white in the corners and black on floors and in wall so we need to invert the colours
|
||||
inverted = cv.bitwise_not(joined)
|
||||
|
||||
# inverting it turns the shadows white, but now the inside of the walls are also white, where we want them to be black.
|
||||
# in the base map the inside of walls is white.
|
||||
# we therefore want to set pixels in the output to zero where the base map is white
|
||||
invmask = cv.bitwise_not(mask)
|
||||
inverted -= invmask
|
||||
|
||||
# we're left with some narrow artifacts which we can erode away
|
||||
erodedinv = cv.erode(inverted, np.ones((3,3),np.uint8))
|
||||
|
||||
# modulate with noise?
|
||||
|
||||
cv.imwrite(filename, erodedinv)
|
||||
|
||||
|
||||
noise = 'perlin.png'
|
||||
map = 'map.png'
|
||||
loot = 'loot.png'
|
||||
|
||||
#generate_perlin(noise)
|
||||
#generate_base_map(map)
|
||||
generate_loot_probability_map(loot, noise, map)
|
||||
|
||||
|
||||
|
||||
|
||||
13
dungeon-plot/dungeon.sh
Executable file
13
dungeon-plot/dungeon.sh
Executable file
@ -0,0 +1,13 @@
|
||||
infiles="map.png heat.png"
|
||||
outdir="../marshroom/dungeon/"
|
||||
|
||||
pipenv run python dungeon.py
|
||||
|
||||
for f in $infiles
|
||||
do
|
||||
#magick $f -resize 512x512 $f
|
||||
echo $f
|
||||
done
|
||||
|
||||
#cp $infile $outfile
|
||||
sxiv *.png
|
||||
Loading…
x
Reference in New Issue
Block a user