mirror of
https://github.com/bulletphysics/bullet3
synced 2024-12-13 13:20:07 +00:00
ef9570c315
This recreates pull request #2192
254 lines
7.6 KiB
Python
254 lines
7.6 KiB
Python
from __future__ import print_function
|
|
import numpy as np
|
|
|
|
|
|
class Obj:
|
|
|
|
def __init__(self, fn):
|
|
self.ind_v = 0
|
|
self.ind_vt = 0
|
|
self.ind_vn = 0
|
|
self.fn = fn
|
|
self.out = open(fn + ".tmp", "w")
|
|
self.out.write("mtllib dinnerware.mtl\n")
|
|
|
|
def __del__(self):
|
|
self.out.close()
|
|
import shutil
|
|
shutil.move(self.fn + ".tmp", self.fn)
|
|
|
|
def push_v(self, v):
|
|
self.out.write("v %f %f %f\n" % (v[0], v[1], v[2]))
|
|
self.ind_v += 1
|
|
return self.ind_v
|
|
|
|
def push_vt(self, vt):
|
|
self.out.write("vt %f %f\n" % (vt[0], vt[1]))
|
|
self.ind_vt += 1
|
|
return self.ind_vt
|
|
|
|
def push_vn(self, vn):
|
|
vn /= np.linalg.norm(vn)
|
|
self.out.write("vn %f %f %f\n" % (vn[0], vn[1], vn[2]))
|
|
self.ind_vn += 1
|
|
return self.ind_vn
|
|
|
|
|
|
def convex_hull(points, vind, nind, tind, obj):
|
|
"super ineffective"
|
|
cnt = len(points)
|
|
for a in range(cnt):
|
|
for b in range(a + 1, cnt):
|
|
for c in range(b + 1, cnt):
|
|
vec1 = points[a] - points[b]
|
|
vec2 = points[a] - points[c]
|
|
n = np.cross(vec1, vec2)
|
|
n /= np.linalg.norm(n)
|
|
C = np.dot(n, points[a])
|
|
inner = np.inner(n, points)
|
|
pos = (inner <= C + 0.0001).all()
|
|
neg = (inner >= C - 0.0001).all()
|
|
if not pos and not neg: continue
|
|
obj.out.write("f %i//%i %i//%i %i//%i\n" %
|
|
((vind[a], nind[a], vind[b], nind[b], vind[c], nind[c]) if
|
|
(inner - C).sum() < 0 else
|
|
(vind[a], nind[a], vind[c], nind[c], vind[b], nind[b])))
|
|
#obj.out.write("f %i/%i/%i %i/%i/%i %i/%i/%i\n" % (
|
|
# (vind[a], tind[a], nind[a], vind[b], tind[b], nind[b], vind[c], tind[c], nind[c])
|
|
# if (inner - C).sum() < 0 else
|
|
# (vind[a], tind[a], nind[a], vind[c], tind[c], nind[c], vind[b], tind[b], nind[b]) ) )
|
|
|
|
|
|
def test_convex_hull():
|
|
obj = Obj("convex_test.obj")
|
|
vlist = np.random.uniform(low=-0.1, high=+0.1, size=(100, 3))
|
|
nlist = vlist.copy()
|
|
tlist = np.random.uniform(low=0, high=+1, size=(100, 2))
|
|
vind = [obj.push_v(xyz) for xyz in vlist]
|
|
nind = [obj.push_vn(xyz) for xyz in nlist]
|
|
tind = [obj.push_vt(uv) for uv in tlist]
|
|
convex_hull(vlist, vind, nind, tind, obj)
|
|
|
|
|
|
class Contour:
|
|
|
|
def __init__(self):
|
|
self.vprev_vind = None
|
|
|
|
def f(self, obj, vlist_vind, vlist_tind, vlist_nind):
|
|
cnt = len(vlist_vind)
|
|
for i1 in range(cnt):
|
|
i2 = i1 - 1
|
|
obj.out.write("f %i/%i/%i %i/%i/%i %i/%i/%i\n" % (
|
|
vlist_vind[i2],
|
|
vlist_tind[i2],
|
|
vlist_nind[i2],
|
|
vlist_vind[i1],
|
|
vlist_tind[i1],
|
|
vlist_nind[i1],
|
|
self.vprev_vind[i1],
|
|
self.vprev_tind[i1],
|
|
self.vprev_nind[i1],
|
|
))
|
|
obj.out.write("f %i/%i/%i %i/%i/%i %i/%i/%i\n" % (
|
|
vlist_vind[i2],
|
|
vlist_tind[i2],
|
|
vlist_nind[i2],
|
|
self.vprev_vind[i1],
|
|
self.vprev_tind[i1],
|
|
self.vprev_nind[i1],
|
|
self.vprev_vind[i2],
|
|
self.vprev_tind[i2],
|
|
self.vprev_nind[i2],
|
|
))
|
|
|
|
def belt(self, obj, vlist, nlist, tlist):
|
|
vlist_vind = [obj.push_v(xyz) for xyz in vlist]
|
|
vlist_tind = [obj.push_vt(xyz) for xyz in tlist]
|
|
vlist_nind = [obj.push_vn(xyz) for xyz in nlist]
|
|
if self.vprev_vind:
|
|
self.f(obj, vlist_vind, vlist_tind, vlist_nind)
|
|
else:
|
|
self.first_vind = vlist_vind
|
|
self.first_tind = vlist_tind
|
|
self.first_nind = vlist_nind
|
|
self.vprev_vind = vlist_vind
|
|
self.vprev_tind = vlist_tind
|
|
self.vprev_nind = vlist_nind
|
|
|
|
def finish(self, obj):
|
|
self.f(obj, self.first_vind, self.first_tind, self.first_nind)
|
|
|
|
|
|
def test_contour():
|
|
RAD1 = 2.0
|
|
RAD2 = 1.5
|
|
obj = Obj("torus.obj")
|
|
obj.out.write("usemtl porcelain\n")
|
|
contour = Contour()
|
|
for step in range(100):
|
|
angle = step / 100.0 * 2 * np.pi
|
|
belt_v = []
|
|
belt_n = []
|
|
belt_t = []
|
|
for b in range(50):
|
|
beta = b / 50.0 * 2 * np.pi
|
|
r = RAD2 * np.cos(beta) + RAD1
|
|
z = RAD2 * np.sin(beta)
|
|
belt_v.append(np.array([np.cos(angle) * r, np.sin(angle) * r, z]))
|
|
belt_n.append(
|
|
np.array([np.cos(angle) * np.cos(beta),
|
|
np.sin(angle) * np.cos(beta),
|
|
np.sin(beta)]))
|
|
belt_t.append((0, 0))
|
|
contour.belt(obj, belt_v, belt_n, belt_t)
|
|
contour.finish(obj)
|
|
|
|
|
|
#test_convex_hull()
|
|
#test_contour()
|
|
|
|
|
|
class RotationFigureParams:
|
|
pass
|
|
|
|
|
|
def generate_plate(p, obj, collision_prefix):
|
|
contour = Contour()
|
|
belt_vlist_3d_prev = None
|
|
|
|
for step in range(p.N_VIZ + 1):
|
|
angle = step / float(p.N_VIZ) * 2 * np.pi
|
|
|
|
if step % p.COLLISION_EVERY == 0:
|
|
vlist_3d = []
|
|
for x, y in p.belt_simple:
|
|
vlist_3d.append([np.cos(angle) * x * 1.06, np.sin(angle) * x * 1.06, y])
|
|
if belt_vlist_3d_prev:
|
|
obj2 = Obj(collision_prefix % (step / p.COLLISION_EVERY))
|
|
obj2.out.write("usemtl pan_tefal\n")
|
|
vlist = np.array(vlist_3d + belt_vlist_3d_prev)
|
|
vlist[len(vlist_3d):] *= 1.01 # break points on one plane
|
|
vlist[0, 0:2] += 0.01 * vlist[len(vlist_3d), 0:2]
|
|
vlist[len(vlist_3d), 0:2] += 0.01 * vlist[0, 0:2]
|
|
nlist = np.random.uniform(low=-1, high=+1, size=vlist.shape)
|
|
tlist = np.random.uniform(low=0, high=+1, size=(len(vlist), 2))
|
|
vind = [obj2.push_v(xyz) for xyz in vlist]
|
|
nind = [obj2.push_vn(xyz) for xyz in nlist]
|
|
convex_hull(vlist, vind, nind, None, obj2)
|
|
belt_vlist_3d_prev = vlist_3d
|
|
if step == p.N_VIZ: break
|
|
|
|
belt_v = []
|
|
belt_n = []
|
|
belt_t = []
|
|
for x, y, nx, ny in p.belt:
|
|
belt_v.append(np.array([np.cos(angle) * x, np.sin(angle) * x, y]))
|
|
belt_n.append(np.array([np.cos(angle) * nx, np.sin(angle) * nx, ny]))
|
|
if ny - nx >= 0:
|
|
belt_t.append((127.0 / 512 + np.cos(angle) * x / p.RAD_HIGH * 105 / 512,
|
|
(512 - 135.0) / 512 + np.sin(angle) * x / p.RAD_HIGH * 105 / 512))
|
|
else:
|
|
belt_t.append((382.0 / 512 + np.cos(angle) * x / p.RAD_HIGH * 125 / 512,
|
|
(512 - 380.0) / 512 + np.sin(angle) * x / p.RAD_HIGH * 125 / 512))
|
|
contour.belt(obj, belt_v, belt_n, belt_t)
|
|
|
|
contour.finish(obj)
|
|
|
|
|
|
def tefal():
|
|
p = RotationFigureParams()
|
|
p.RAD_LOW = 0.240 / 2
|
|
p.RAD_HIGH = 0.255 / 2
|
|
p.H = 0.075
|
|
p.THICK = 0.005
|
|
p.N_VIZ = 30
|
|
p.COLLISION_EVERY = 5
|
|
p.belt = [
|
|
(p.RAD_HIGH - p.THICK, p.H, -1, 0), # x y norm
|
|
(p.RAD_HIGH, p.H, 0, 1),
|
|
(p.RAD_HIGH + p.THICK, p.H, +1, 0),
|
|
(p.RAD_LOW + p.THICK, p.THICK, +1, 0),
|
|
(p.RAD_LOW, 0, 0, -1),
|
|
(0, 0, 0, -1),
|
|
(0, p.THICK, 0, 1),
|
|
(p.RAD_LOW - p.THICK, p.THICK, 0, 1),
|
|
(p.RAD_LOW - p.THICK, 3 * p.THICK, -1, 0),
|
|
]
|
|
p.belt.reverse()
|
|
p.belt_simple = [(p.RAD_HIGH - p.THICK, p.H), (p.RAD_HIGH + p.THICK, p.H), (p.RAD_LOW, 0),
|
|
(p.RAD_LOW - p.THICK, 0)]
|
|
obj = Obj("pan_tefal.obj")
|
|
obj.out.write("usemtl pan_tefal\n")
|
|
generate_plate(p, obj, "pan_tefal-collision%02i.obj")
|
|
|
|
|
|
def plate():
|
|
p = RotationFigureParams()
|
|
p.RAD_LOW = 0.110 / 2
|
|
p.RAD_HIGH = 0.190 / 2
|
|
p.H = 0.060
|
|
p.THICK = 0.003
|
|
p.N_VIZ = 30
|
|
p.COLLISION_EVERY = 5
|
|
p.belt = [
|
|
(p.RAD_HIGH - p.THICK, p.H, -0.9, 0.5), # x y norm
|
|
(p.RAD_HIGH, p.H, 0, 1),
|
|
(p.RAD_HIGH + p.THICK, p.H, +1, 0),
|
|
(p.RAD_LOW + p.THICK, p.THICK, +1, 0),
|
|
(p.RAD_LOW, 0, 0, -1),
|
|
(0, 0, 0, -1),
|
|
(0, p.THICK, 0, 1),
|
|
(p.RAD_LOW - 3 * p.THICK, p.THICK, 0, 1),
|
|
(p.RAD_LOW - p.THICK, 3 * p.THICK, -0.5, 1.0),
|
|
]
|
|
p.belt.reverse()
|
|
p.belt_simple = [(p.RAD_HIGH - p.THICK, p.H), (p.RAD_HIGH + p.THICK, p.H), (p.RAD_LOW, 0),
|
|
(p.RAD_LOW - p.THICK, 0)]
|
|
obj = Obj("plate.obj")
|
|
obj.out.write("usemtl solid_color\n")
|
|
generate_plate(p, obj, "plate-collision%02i.obj")
|
|
|
|
|
|
plate()
|