def main():
parser = parse_mpm()
args = parser.parse_args()
simulation_trajectories = []
if args.material == 'water':
material = MPMSolver.material_water
elif args.material == 'elastic':
material = MPMSolver.material_elastic
elif args.material == 'snow':
material = MPMSolver.material_snow
elif args.material == 'sand':
material = MPMSolver.material_sand
for sim_i in range(args.num_sims):
ti.init(arch=ti.cuda) # Try to run on GPU
gui = ti.GUI("Taichi MLS-MPM-99", res=512, background_color=0x112F41)
mpm = MPMSolver(res=(128, 128))
mpm.E = args.young
# init condition
n_samples = args.ncubes * 10
lower_corner_candidates = np.random.uniform(0.2,
0.8,
size=(n_samples, 2))
cube_size_candidates = np.random.uniform(0.06,
0.15,
size=(n_samples, 2))
lower_corners = []
cube_sizes = []
num_cubes = args.ncubes
for s in range(1, n_samples):
if not cube_overlap(
lower_corner_candidates[:s], cube_size_candidates[:s],
lower_corner_candidates[s], cube_size_candidates[s]):
lower_corners.append(lower_corner_candidates[s])
cube_sizes.append(cube_size_candidates[s])
if len(lower_corners) == num_cubes:
break
for i in range(len(lower_corners)):
mpm.add_cube(lower_corner=lower_corners[i],
cube_size=cube_sizes[i],
material=material)
simulation_trajectories.append(simulate(mpm, gui, args))
#rollout(simulation_trajectories[0], gui, args.gui_particle_radius)
#cluster_scene(simulation_trajectories[-1][0])
if (sim_i + 1) % 1 == 0:
print('Simulated {} trajectories.'.format(sim_i + 1))
data_path = os.path.join('../data/', args.dataset_name)
if not os.path.exists(data_path):
os.makedirs(data_path)
if (sim_i + 1) % 100 == 0 or sim_i + 1 == args.num_sims:
print(len(simulation_trajectories))
with open(
'../data/{}/{}_{}.pkl'.format(args.dataset_name,
args.material, sim_i // 100),
'wb') as f:
pkl.dump(simulation_trajectories, f)
simulation_trajectories = []
