mirror of
				https://github.com/tobspr/shapez.io.git
				synced 2025-06-13 13:04:03 +00:00 
			
		
		
		
	
		
			
				
	
	
		
			93 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			93 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # Requirements: numpy, scipy, Pillow,
 | |
| from __future__ import print_function
 | |
| import sys
 | |
| import numpy as np
 | |
| from scipy import ndimage
 | |
| from PIL import Image, ImageFilter, ImageChops
 | |
| import math
 | |
| from os import listdir
 | |
| from os.path import isdir, isfile
 | |
| 
 | |
| generate_blueprint_sprite_v = np.array([[0, 0, 0],
 | |
|                             [0, 1, 0],
 | |
|                             [0, 0, -1]])
 | |
| 
 | |
| generate_blueprint_sprite_h = np.array([[0, 0, 0],
 | |
|                             [0, 0, 1],
 | |
|                             [0, -1, 0]])
 | |
| 
 | |
| 
 | |
| def rgb2gray(rgb):
 | |
|     return np.dot(rgb[..., :3], [0.2989, 0.5870, 0.1140])
 | |
| 
 | |
| def process_image(data, outfilename, src_image):
 | |
|     img = Image.fromarray(np.asarray(
 | |
|         np.clip(data, 0, 255), dtype="uint8"), "L")
 | |
|     dest = Image.new("RGBA", (img.width, img.height))
 | |
|     src = img.load()
 | |
|     dst = dest.load()
 | |
| 
 | |
|     realSrc = src_image.load()
 | |
|     mask = src_image.filter(ImageFilter.GaussianBlur(10)).load()
 | |
|     orig = src_image.load()
 | |
| 
 | |
|     # isWire = "wire" in outfilename
 | |
|     isWire = False
 | |
| 
 | |
|     targetR = 104
 | |
|     targetG = 200
 | |
|     targetB = 255
 | |
| 
 | |
|     if isWire:
 | |
|         targetR = 255
 | |
|         targetG = 104
 | |
|         targetB = 232 
 | |
| 
 | |
|     for x in range(img.width):
 | |
|         for y in range(img.height):
 | |
|             realpixl = realSrc[x, y]
 | |
|             greyval = float(src[x, y])
 | |
|             greyval = min(255.0, greyval)
 | |
|             greyval = math.pow(
 | |
|                 min(1, float(greyval / 255.0 * 1)), 1.5) * 255.0 * 1
 | |
|             greyval = max(0, greyval)
 | |
|             alpha = mask[x, y][3] / 255.0 * 1
 | |
| 
 | |
|             edgeFactor = src[x, y] / 255.0
 | |
|             noEdge = 1 - edgeFactor
 | |
| 
 | |
|             shadow = min(1, 1 - realpixl[3] / 255.0 - edgeFactor)
 | |
|             noShadow = 1 - shadow
 | |
| 
 | |
|             dst[x, y] = (
 | |
|                 min(255, int((realpixl[0] / 255.0 * 0.4 + 0.6) * targetR * 1.1)),
 | |
|                 min(255, int((realpixl[1] / 255.0 * 0.4 + 0.6) * targetG * 1.1)),
 | |
|                 min(255, int((realpixl[2] / 255.0 * 0.4 + 0.6) * targetB * 1.1)),
 | |
|                 min(255, int(float(realpixl[3]) * (0.6 + 5 * edgeFactor))))
 | |
| 
 | |
| 
 | |
|     dest.save(outfilename)
 | |
| 
 | |
| 
 | |
| def generate_blueprint_sprite(infilename, outfilename):
 | |
|     print("Processing", infilename)
 | |
|     img = Image.open(infilename)
 | |
|     img.load()
 | |
|     img = img.filter(ImageFilter.GaussianBlur(0.5))
 | |
| 
 | |
|     image = rgb2gray(np.asarray(img, dtype="int32"))
 | |
|     vertical = ndimage.convolve(image, generate_blueprint_sprite_v)
 | |
|     horizontal = ndimage.convolve(image, generate_blueprint_sprite_h)
 | |
|     output_image = np.sqrt(np.square(horizontal) + np.square(vertical))
 | |
|     process_image(output_image, outfilename, img)
 | |
| 
 | |
| 
 | |
| buildings = listdir("buildings")
 | |
| 
 | |
| for buildingId in buildings:
 | |
|     if "hub" in buildingId:
 | |
|         continue
 | |
|     if "wire-" in buildingId:
 | |
|         continue
 | |
|     generate_blueprint_sprite("buildings/" + buildingId + "", "blueprints/" + buildingId + "")
 |