visuals.py
1.24 KB
from structure import NLateration, Location
from math import floor, sqrt
from PIL import Image, ImageDraw
global_step=.05
dataset = [(Location(.5,.5,.5), 3.0), (Location(4.0,.0,.0), 2.0), (Location(4.0,5.0,5.0), 4.2)]
NLat_result = NLateration(dataset, step=global_step)
W,H = NLat_result[3], NLat_result[4]
frames = []
dummy = [0 for _ in range(len(NLat_result[5][0]))]
def createFrame(x,y,nbr):
img = Image.new("HSV",(y,x))
img.putdata(NLat_result[5][nbr])
return img
def exportGif():
for i in range(len(NLat_result[5])):
newFrame = createFrame(W,H,i)
newFrame = newFrame.resize((W*10,H*10), Image.BICUBIC)
draw = ImageDraw.Draw(newFrame)
draw.text(text="z="+str(round(i*global_step,2)), xy=(0,0))
frames.append(newFrame)
for i in range(len(NLat_result[5])):
newFrame = createFrame(W,H,len(NLat_result[5])-i-1)
newFrame = newFrame.resize((W*10,H*10), Image.ANTIALIAS)
draw = ImageDraw.Draw(newFrame)
draw.text(text="z="+str(round(((len(NLat_result[5])-i-1)*global_step),2)), xy=(0,0))
frames.append(newFrame)
frames[0].save("out.gif", format="GIF", append_images=frames[1:], save_all=True, duration=20, loop=0)
print("gif exported")
exportGif()