#!/usr/bin/env python3 # inspired by: # http://lodev.org/cgtutor/plasma.html import sys import time import math import colorsys import blup.frame import blup.output import blup.animation import blup.writebml import argparse WIDTH = 22 HEIGHT = 16 DEPTH = 256 class Plasma(object): def __init__(self, width, height, test_palette=False, zoom=1): self.width = width self.height = height self.test_palette = test_palette self.zoom = zoom self.pixelvalues = [[0] * height for i in range(width)] self.pixelsReady = False self.offset = 0 self.update() @property def minValue(self): return min(list(map(min, self.pixelvalues))) @property def maxValue(self): return max(list(map(max, self.pixelvalues))) def applyPalette(self, palette): min = self.minValue max = self.maxValue norm = lambda x: ((x - min) / max) pixeldata = [ [None] * self.height for i in range(self.width) ] for x in range(self.width): rowvalues = self.pixelvalues[x] for y in range(self.height): if y == 0 and self.test_palette: pixeldata[x][y] = palette.getColorValue(x/(self.width-1)) else: pixeldata[x][y] = palette.getColorValue(norm(rowvalues[y])) return pixeldata def update(self): #if self.pixelsReady: # return self.offset += 1 for x in range(self.width): for y in range(self.height): xx = x+self.offset yy = y+self.offset p = 128 + 128 * math.sin(xx / 9.0 * self.zoom) p += 128 + 128 * math.sin(yy / 16.0 * self.zoom) p += 128 + 128 * math.sin((yy + xx) / 16.0 * self.zoom) p += 128 + 128 * math.sin(math.sqrt(yy*yy + xx*xx * self.zoom) / 16.0) p += 128 + 8 * math.sin(math.sqrt(yy* xx * self.zoom) / 16.0) self.pixelvalues[x][y] = p self.pixelsReady = True class HSVPalette(object): def __init__(self, depth): self.offset = 0 self.cache = {} self.depth = depth def getColorValue(self, x): x = round(x, 3) if x in self.cache: return self.cache[x] c = colorsys.hsv_to_rgb((x + self.offset) % 1, 1, 1) c = list(map(lambda x: int(x * (self.depth - 1)), c)) self.cache[x] = c return c def update(self): self.cache = {} self.offset += 0.01 if self.offset > 1: self.offset -= 1 class ExponentialHSVPalette(object): def __init__(self, depth): self.offset = 0 self.cache = {} self.depth = depth def getColorValue(self, x): x = round(x, 3) if x in self.cache: return self.cache[x] xx = (x + self.offset) % 1 a = 4 b = 3 c = colorsys.hsv_to_rgb((a**(xx*b)-1)/(a**b), 1, 1) c = list(map(lambda x: int(x * (self.depth - 1)), c)) self.cache[x] = c return c def update(self): self.cache = {} self.offset += 0.01 if self.offset > 1: self.offset -= 1 class SingleColorPalette(object): def __init__(self, depth): self.cache = {} self.depth = depth self.h = 0 def getColorValue(self, x): x = round(x, 3) if x in self.cache: return self.cache[x] a = 4 b = 3 c = colorsys.hsv_to_rgb(self.h, 1, (a**(x*b)-1)/(a**b)) c = list(map(lambda x: int(x * (self.depth - 1)), c)) self.cache[x] = c return c def update(self): self.cache = {} self.h += 0.005 if self.h > 1: self.h -= 1 ############################################## PALETTES = { 'hsv': HSVPalette, 'exponentialhsv': ExponentialHSVPalette, 'singlecolor': SingleColorPalette, } if __name__ == '__main__': parser = argparse.ArgumentParser(description='Generate plasma animations') parser.add_argument('-d', '--delay', type=int, default=50) parser.add_argument('-n', '--num-frames', type=int, default=200) parser.add_argument('-p', '--palette', choices=PALETTES.keys(), default='hsv') parser.add_argument('-z', '--zoom', type=float, default=1) parser.add_argument('--test-palette', action='store_true') parser.add_argument('output_file') args = parser.parse_args() plasma = Plasma(WIDTH, HEIGHT, args.test_palette, zoom=args.zoom) dim = blup.frame.FrameDimension(WIDTH, HEIGHT, DEPTH, 3) palette = PALETTES[args.palette](DEPTH) anim = blup.animation.Animation(dim) anim.tags['description'] = ' '.join(sys.argv) for i in range(args.num_frames): palette.update() plasma.update() pixeldata = plasma.applyPalette(palette) frame = blup.animation.AnimationFrame(dim, args.delay) for x in range(WIDTH): for y in range(HEIGHT): frame.setPixel(x, y, pixeldata[x][y]) anim.addFrame(frame) blup.writebml.writeBml(anim, args.output_file)