Exemplo n.º 1
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def test_newtons_first_law_motion():
    # When no external force acts, a body with constant velocity
    # continues to move with that velocity.
    cube_verts = torch.FloatTensor(
        [
            [1.0, 1.0, 1.0],
            [1.0, -1.0, 1.0],
            [1.0, -1.0, -1.0],
            [1.0, 1.0, -1.0],
            [-1.0, 1.0, 1.0],
            [-1.0, -1.0, 1.0],
            [-1.0, -1.0, -1.0],
            [-1.0, 1.0, -1.0],
        ]
    )
    cube = RigidBody(cube_verts)
    # Give the cube a linear momentum of `(8, 8, 8)` (it's mass is `8`),
    # so, the velocity becomes `1` meter per second. Our frame rate by
    # default, is 30 Hz, i.e., 0.033 meters per frame.
    cube.linear_momentum = torch.ones(3, dtype=torch.float32) * 8
    sim = Simulator([cube])
    sim.step()
    assert torch.allclose(cube.position, 0.0333 * torch.ones(3), atol=1e-4)
    sim.step()
    assert torch.allclose(cube.position, 0.0667 * torch.ones(3), atol=1e-4)
    sim.step()
    assert torch.allclose(cube.position, 0.1 * torch.ones(3), atol=1e-4)
Exemplo n.º 2
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def test_cube_with_gravity():
    # Add gravity to the cube.
    cube_verts = torch.FloatTensor(
        [
            [1.0, 1.0, 1.0],
            [1.0, -1.0, 1.0],
            [1.0, -1.0, -1.0],
            [1.0, 1.0, -1.0],
            [-1.0, 1.0, 1.0],
            [-1.0, -1.0, 1.0],
            [-1.0, -1.0, -1.0],
            [-1.0, 1.0, -1.0],
        ]
    )
    cube = RigidBody(cube_verts)
    gravity = Gravity()
    direction = torch.tensor([0.0, 0.0, -1.0])
    cube.add_external_force(gravity)
    sim = Simulator([cube])
    sim.step()
    assert torch.allclose(cube.linear_velocity, 0.3333333 * direction)
    assert torch.allclose(cube.position, 0.0111111 * direction)
    sim.step()
    assert torch.allclose(cube.linear_velocity, 0.66666667 * direction)
    assert torch.allclose(cube.position, 0.0333333 * direction)
    sim.step()
    assert torch.allclose(cube.linear_velocity, 1.0 * direction)
    assert torch.allclose(cube.position, 0.0666667 * direction)
Exemplo n.º 3
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def render_samples(sim_steps,
                   sim_dtime,
                   render_every,
                   restitution,
                   renderer,
                   body,
                   faces,
                   textures,
                   record_trajectory=False):
    # Initialize the simulator with the body at the origin.
    sim = Simulator([body],
                    dtime=sim_dtime,
                    engine=SemiImplicitEulerWithContacts()
                    if restitution else EulerIntegrator())
    # Run the simulation
    sequence = []
    if record_trajectory:
        poss, ornts, linvels, angvels = [], [], [], []

        def record(body):
            poss.append(body.position.detach().cpu())
            ornts.append(body.orientation.detach().cpu())
            linvels.append(body.linear_velocity.detach().cpu())
            angvels.append(body.angular_velocity.detach().cpu())

    for t in trange(sim_steps, leave=False):
        sim.step()
        if t % render_every == 0:
            if record_trajectory:
                record(body)
            rgba = renderer.forward(body.get_world_vertices().unsqueeze(0),
                                    faces, textures)
            img = (rgba[0].permute(1, 2, 0).detach().cpu().numpy() *
                   255).astype(np.uint8)
            sequence.append(img)
    if record_trajectory:
        f = lambda v: torch.stack(v).numpy()
        return sequence, f(poss), f(ornts), f(linvels), f(angvels)
    else:
        return sequence
Exemplo n.º 4
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def test_newtons_first_law_rest():
    # When no external force acts, bodies at rest remain at rest.
    cube_verts = torch.FloatTensor(
        [
            [1.0, 1.0, 1.0],
            [1.0, -1.0, 1.0],
            [1.0, -1.0, -1.0],
            [1.0, 1.0, -1.0],
            [-1.0, 1.0, 1.0],
            [-1.0, -1.0, 1.0],
            [-1.0, -1.0, -1.0],
            [-1.0, 1.0, -1.0],
        ]
    )
    cube = RigidBody(cube_verts)
    sim = Simulator([cube])
    sim.step()
    assert torch.allclose(cube.position, torch.zeros(3))
    sim.step()
    assert torch.allclose(cube.position, torch.zeros(3))
Exemplo n.º 5
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            starttime=0.0,
            endtime=0.1,
            device=device,
        )
        body_gt.add_external_force(force,
                                   application_points=application_points)

        # Add gravity
        gravity = ConstantForce(
            magnitude=10.0,
            direction=torch.tensor([0, -1, 0]),
            device=device,
        )
        body_gt.add_external_force(gravity)

        sim_gt = Simulator([body_gt])

        # 2 seconds; 30 fps
        imgs_gt = []
        with torch.no_grad():
            for t in range(sim_steps):
                sim_gt.step()
                rgba = renderer.forward(
                    body_gt.get_world_vertices().unsqueeze(0), faces, textures)
                imgs_gt.append(rgba)

        masses_est = torch.nn.Parameter(
            (0.2) * torch.ones_like(masses_gt),
            requires_grad=True,
        )
        massmodel = MassModel(
Exemplo n.º 6
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        direction=torch.tensor([0.0, -1.0, 0.0]),
        device=device,
    )

    # Add this force to the body.
    body.add_external_force(gravity)

    sim_duration = 2.0
    fps = 30
    sim_substeps = 32
    dtime = (1 / 30) / sim_substeps
    sim_steps = int(sim_duration / dtime)
    render_every = sim_substeps

    # Initialize the simulator with the body at the origin.
    sim = Simulator(bodies=[body], engine=SemiImplicitEulerWithContacts(), dtime=dtime,)

    # Initialize the renderer.
    renderer = SoftRenderer(camera_mode="look_at", device=device)
    camera_distance = 10.0
    elevation = 30.0
    azimuth = 0.0
    renderer.set_eye_from_angles(camera_distance, elevation, azimuth)

    # Run the simulation.
    writer = imageio.get_writer(outfile, mode="I")
    for i in trange(sim_steps):
        sim.step()
        # print("Body is at:", body.position)
        if i % render_every == 0:
            rgba = renderer.forward(
Exemplo n.º 7
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def test_smoke():
    sim = Simulator([])
Exemplo n.º 8
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    orientation = torch.tensor([1.0, 0.0, 0.0, 0.0])
    cube = RigidBody(cube_verts + 1,
                     position=position,
                     orientation=orientation)
    force_magnitude = 10.0  # / cube_verts.shape[0]
    force_direction = torch.tensor([0.0, -1.0, 0.0])
    gravity = ConstantForce(magnitude=force_magnitude,
                            direction=force_direction)
    cube.add_external_force(gravity)

    # sim = Simulator([cube], engine=EulerIntegratorWithContacts())

    sim_substeps = 32
    dtime = (1 / 30) / sim_substeps
    sim = Simulator([cube],
                    engine=SemiImplicitEulerWithContacts(),
                    dtime=dtime)

    # import numpy as np
    # from mpl_toolkits.mplot3d import Axes3D
    # import matplotlib.pyplot as plt
    # fig = plt.figure()
    # ax = fig.add_subplot(111, projection='3d')
    # ax.set_xlim(-2, 2)
    # ax.set_ylim(-1, 5)
    # ax.set_zlim(-2, 2)
    # plt.ion()

    print(cube.position)
    print("vertices at start:", cube.get_world_vertices())
Exemplo n.º 9
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        0.1 *
        torch.ones(vertices.shape[1], dtype=vertices.dtype, device=device),
        requires_grad=True,
    )
    body = RigidBody(vertices[0], masses=masses)

    # Create a force that applies gravity (g = 10 metres / second^2).
    # gravity = Gravity(device=device)
    gravity = ConstantForce(direction=torch.tensor([0.0, -1.0, 0.0]),
                            device=device)

    # Add this force to the body.
    body.add_external_force(gravity, application_points=[0, 1])

    # Initialize the simulator with the body at the origin.
    sim = Simulator([body])

    # Initialize the renderer.
    renderer = SoftRenderer(camera_mode="look_at", device=device)
    camera_distance = 8.0
    elevation = 30.0
    azimuth = 0.0
    renderer.set_eye_from_angles(camera_distance, elevation, azimuth)

    # Run the simulation.
    writer = imageio.get_writer(outfile, mode="I")
    for i in trange(20):
        sim.step()
        # print("Body is at:", body.position)
        rgba = renderer.forward(body.get_world_vertices().unsqueeze(0), faces,
                                textures)
Exemplo n.º 10
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        #     starttime=0.0,
        #     endtime=0.1,
        #     device=device,
        # )
        # body_gt.add_external_force(force, application_points=application_points)

        # Add gravity
        gravity = ConstantForce(
            magnitude=10.0,
            direction=torch.tensor([0, -1, 0]),
            device=device,
        )
        body_gt.add_external_force(gravity)

        sim_gt = Simulator([body_gt],
                           dtime=sim_dtime,
                           engine=SemiImplicitEulerWithContacts())

        # 2 seconds; 30 fps
        imgs_gt = []
        with torch.no_grad():
            for t in range(sim_steps):
                sim_gt.step()
                if t % render_every == 0:
                    rgba = renderer.forward(
                        body_gt.get_world_vertices().unsqueeze(0), faces,
                        textures)
                    imgs_gt.append(rgba)

        masses_est = torch.nn.Parameter(
            (0.2) * torch.ones_like(masses_gt),
Exemplo n.º 11
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        device=device,
    )

    # Add this force to the body.
    body.add_external_force(gravity)

    sim_duration = 1.5
    fps = 30
    sim_substeps = 32
    dtime = (1 / 30) / sim_substeps
    sim_steps = int(sim_duration / dtime)
    render_every = sim_substeps

    # Initialize the simulator with the body at the origin.
    sim_gt = Simulator(bodies=[body],
                       engine=SemiImplicitEulerWithContacts(),
                       dtime=dtime)

    # Initialize the renderer.
    renderer = SoftRenderer(camera_mode="look_at", device=device)
    camera_distance = 10.0
    elevation = 30.0
    azimuth = 0.0
    renderer.set_eye_from_angles(camera_distance, elevation, azimuth)

    # Run the simulation.
    # outfile = "cache/a.gif"
    # writer = imageio.get_writer(outfile, mode="I")
    imgs_gt = []
    for i in trange(sim_steps):
        sim_gt.step()