# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved. # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA CORPORATION is strictly prohibited. ########################################################################### # Example NanoVDB # # Shows how to implement a particle simulation with collision against # a NanoVDB signed-distance field. In this example the NanoVDB field # is created offline in Houdini. The particle kernel uses the Warp # wp.volume_sample_f() method to compute the SDF and normal at a point. # ########################################################################### import math import os import numpy as np import warp as wp import warp.render wp.init() @wp.func def volume_grad(volume: wp.uint64, p: wp.vec3): eps = 1.0 q = wp.volume_world_to_index(volume, p) # compute gradient of the SDF using finite differences dx = wp.volume_sample_f(volume, q + wp.vec3(eps, 0.0, 0.0), wp.Volume.LINEAR) - wp.volume_sample_f( volume, q - wp.vec3(eps, 0.0, 0.0), wp.Volume.LINEAR ) dy = wp.volume_sample_f(volume, q + wp.vec3(0.0, eps, 0.0), wp.Volume.LINEAR) - wp.volume_sample_f( volume, q - wp.vec3(0.0, eps, 0.0), wp.Volume.LINEAR ) dz = wp.volume_sample_f(volume, q + wp.vec3(0.0, 0.0, eps), wp.Volume.LINEAR) - wp.volume_sample_f( volume, q - wp.vec3(0.0, 0.0, eps), wp.Volume.LINEAR ) return wp.normalize(wp.vec3(dx, dy, dz)) @wp.kernel def simulate( positions: wp.array(dtype=wp.vec3), velocities: wp.array(dtype=wp.vec3), volume: wp.uint64, margin: float, dt: float, ): tid = wp.tid() x = positions[tid] v = velocities[tid] v = v + wp.vec3(0.0, 0.0, -980.0) * dt - v * 0.1 * dt xpred = x + v * dt xpred_local = wp.volume_world_to_index(volume, xpred) # d = wp.volume_sample_f(volume, xpred_local, wp.Volume.LINEAR) n = wp.vec3() d = wp.volume_sample_grad_f(volume, xpred_local, wp.Volume.LINEAR, n) if d < margin: # n = volume_grad(volume, xpred) n = wp.normalize(n) err = d - margin # mesh collision xpred = xpred - n * err # ground collision if xpred[2] < 0.0: xpred = wp.vec3(xpred[0], xpred[1], 0.0) # pbd update v = (xpred - x) * (1.0 / dt) x = xpred positions[tid] = x velocities[tid] = v class Example: def __init__(self, stage): self.num_particles = 10000 self.sim_steps = 1000 frame_dt = 1.0 / 60.0 self.sim_substeps = 3 self.sim_dt = frame_dt / self.sim_substeps self.sim_time = 0.0 self.sim_timers = {} self.sim_render = True self.sim_margin = 15.0 self.renderer = wp.render.UsdRenderer(stage, up_axis="z") self.renderer.render_ground(size=10000.0) init_pos = 1000.0 * (np.random.rand(self.num_particles, 3) * 2.0 - 1.0) + np.array((0.0, 0.0, 3000.0)) init_vel = np.random.rand(self.num_particles, 3) self.positions = wp.from_numpy(init_pos.astype(np.float32), dtype=wp.vec3) self.velocities = wp.from_numpy(init_vel.astype(np.float32), dtype=wp.vec3) # load collision volume file = open(os.path.join(os.path.dirname(__file__), "assets/rocks.nvdb"), "rb") # create Volume object self.volume = wp.Volume.load_from_nvdb(file) file.close() def update(self): with wp.ScopedTimer("simulate", detailed=False, dict=self.sim_timers): for _ in range(self.sim_substeps): wp.launch( kernel=simulate, dim=self.num_particles, inputs=[ self.positions, self.velocities, self.volume.id, self.sim_margin, self.sim_dt, ], ) self.sim_time += self.sim_dt def render(self, is_live=False): with wp.ScopedTimer("render", detailed=False): time = 0.0 if is_live else self.sim_time self.renderer.begin_frame(time) self.renderer.render_ref( name="collision", path=os.path.join(os.path.dirname(__file__), "assets/rocks.usd"), pos=wp.vec3(0.0, 0.0, 0.0), rot=wp.quat_from_axis_angle(wp.vec3(1.0, 0.0, 0.0), math.pi), scale=wp.vec3(1.0, 1.0, 1.0), ) self.renderer.render_points(name="points", points=self.positions.numpy(), radius=self.sim_margin) self.renderer.end_frame() if __name__ == "__main__": stage_path = os.path.join(os.path.dirname(__file__), "outputs/example_nvdb.usd") example = Example(stage_path) for i in range(example.sim_steps): example.update() example.render() example.renderer.save()