forked from inconvergent/differential-mesh
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main.py
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main.py
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#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
from numpy import pi
from numpy import sqrt
from numpy import zeros
from numpy import cos
from numpy import sin
from numpy.random import random
from modules.timers import named_sub_timers
NMAX = 10e7
SIZE = 5000
ONE = 1./SIZE
RAD = 3*ONE
H = sqrt(3.)*RAD
NEARL = 2*RAD
FARL = RAD*20
OPT_STP = 1./SIZE*0.5
MID = 0.5
STEPS_ITT = 100
LINEWIDTH = 1*ONE
STP = 1./SIZE*0.5
ATTRACT_SCALE = STP*0.1
REJECT_SCALE = STP
TRIANGLE_SCALE = STP*0.01
ALPHA = 0
DIMINISH = 0.99
MINIMUM_LENGTH = H*0.8
MAXIMUM_LENGTH = H*2
SPLIT_LIMIT = H*2
FLIP_LIMIT = NEARL*0.5
BACK = [1,1,1,1]
FRONT = [0,0,0,0.3]
PROCS = 6
TWOPI = pi*2.
np_coord = zeros((NMAX,6), 'float')
def show(render, dm):
global np_coord
render.clear_canvas()
num = dm.np_get_triangles_coordinates(np_coord)
render_random_triangle = render.random_triangle
rgba = FRONT
render.set_front(rgba)
for e,vv in enumerate(np_coord[:num,:]):
render_random_triangle(*vv,grains=80)
render.write_to_png('res/res_a_{:05d}.png'.format(render.num_img))
def main():
from differentialMesh import DifferentialMesh
from render.render import Render
from time import time
from modules.helpers import print_stats
from numpy import array
DM = DifferentialMesh(NMAX, 2*FARL, NEARL, FARL, PROCS)
DM.new_faces_in_ngon(MID, MID, H, 6, 0.0)
render = Render(SIZE, BACK, FRONT)
render.set_line_width(LINEWIDTH)
# st = named_sub_timers()
tsum = 0
for i in xrange(10000000):
t1 = time()
for _ in xrange(STEPS_ITT):
# st.start()
DM.optimize_position(
ATTRACT_SCALE,
REJECT_SCALE,
TRIANGLE_SCALE,
ALPHA,
DIMINISH,
-1
)
# st.t('opt')
henum = DM.get_henum()
# st.t('rnd')
surface_edges = array(
[DM.is_surface_edge(e)>0
for e in range(henum)],
'bool').nonzero()[0]
# st.t('surf')
rnd = random(size=len(surface_edges)*2)
the = (1.-2*rnd[::2])*pi
rad = rnd[1::2]*0.5*H
dx = cos(the)*rad
dy = sin(the)*rad
# st.t('rnd2')
DM.new_triangles_from_surface_edges(
surface_edges,
len(surface_edges),
H,
dx,
dy,
MINIMUM_LENGTH,
MAXIMUM_LENGTH,
1
)
# st.t('tri')
# st.start()
DM.optimize_edges(
SPLIT_LIMIT,
FLIP_LIMIT
)
# st.t('opte')
tsum += time() - t1
print_stats(i*STEPS_ITT, tsum, DM)
show(render, DM)
tsum = 0
# st.p()
if __name__ == '__main__' :
main()