We have now released v0.3.0! Please use the latest version for the best experience.

Creating Visualization Markers

Creating Visualization Markers#

Visualization markers are useful to debug the state of the environment. They can be used to visualize the frames, commands, and other information in the simulation.

While Isaac Sim provides its own omni.isaac.debug_draw extension, it is limited to rendering only points, lines and splines. For cases, where you need to render more complex shapes, you can use the markers.VisualizationMarkers class.

This guide is accompanied by a sample script markers.py in the orbit/source/standalone/demos directory.

Code for markers.py
  1# Copyright (c) 2022-2024, The ORBIT Project Developers.
  2# All rights reserved.
  3#
  4# SPDX-License-Identifier: BSD-3-Clause
  5
  6"""This script demonstrates different types of markers.
  7
  8.. code-block:: bash
  9
 10    # Usage
 11    ./orbit.sh -p source/standalone/demos/markers.py
 12
 13"""
 14
 15"""Launch Isaac Sim Simulator first."""
 16
 17import argparse
 18
 19from omni.isaac.orbit.app import AppLauncher
 20
 21# add argparse arguments
 22parser = argparse.ArgumentParser(description="This script demonstrates different types of markers.")
 23# append AppLauncher cli args
 24AppLauncher.add_app_launcher_args(parser)
 25# parse the arguments
 26args_cli = parser.parse_args()
 27
 28# launch omniverse app
 29app_launcher = AppLauncher(args_cli)
 30simulation_app = app_launcher.app
 31
 32"""Rest everything follows."""
 33
 34import torch
 35
 36import omni.isaac.orbit.sim as sim_utils
 37from omni.isaac.orbit.markers import VisualizationMarkers, VisualizationMarkersCfg
 38from omni.isaac.orbit.sim import SimulationContext
 39from omni.isaac.orbit.utils.assets import ISAAC_NUCLEUS_DIR, ISAAC_ORBIT_NUCLEUS_DIR
 40from omni.isaac.orbit.utils.math import quat_from_angle_axis
 41
 42
 43def define_markers() -> VisualizationMarkers:
 44    """Define markers with various different shapes."""
 45    marker_cfg = VisualizationMarkersCfg(
 46        prim_path="/Visuals/myMarkers",
 47        markers={
 48            "frame": sim_utils.UsdFileCfg(
 49                usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/UIElements/frame_prim.usd",
 50                scale=(0.5, 0.5, 0.5),
 51            ),
 52            "arrow_x": sim_utils.UsdFileCfg(
 53                usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/UIElements/arrow_x.usd",
 54                scale=(1.0, 0.5, 0.5),
 55                visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 1.0, 1.0)),
 56            ),
 57            "cube": sim_utils.CuboidCfg(
 58                size=(1.0, 1.0, 1.0),
 59                visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 0.0, 0.0)),
 60            ),
 61            "sphere": sim_utils.SphereCfg(
 62                radius=0.5,
 63                visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 1.0, 0.0)),
 64            ),
 65            "cylinder": sim_utils.CylinderCfg(
 66                radius=0.5,
 67                height=1.0,
 68                visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 0.0, 1.0)),
 69            ),
 70            "cone": sim_utils.ConeCfg(
 71                radius=0.5,
 72                height=1.0,
 73                visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 1.0, 0.0)),
 74            ),
 75            "mesh": sim_utils.UsdFileCfg(
 76                usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Blocks/DexCube/dex_cube_instanceable.usd",
 77                scale=(10.0, 10.0, 10.0),
 78            ),
 79            "mesh_recolored": sim_utils.UsdFileCfg(
 80                usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Blocks/DexCube/dex_cube_instanceable.usd",
 81                scale=(10.0, 10.0, 10.0),
 82                visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 0.25, 0.0)),
 83            ),
 84            "robot_mesh": sim_utils.UsdFileCfg(
 85                usd_path=f"{ISAAC_ORBIT_NUCLEUS_DIR}/Robots/ANYbotics/ANYmal-D/anymal_d.usd",
 86                scale=(2.0, 2.0, 2.0),
 87                visual_material=sim_utils.GlassMdlCfg(glass_color=(0.0, 0.1, 0.0)),
 88            ),
 89        },
 90    )
 91    return VisualizationMarkers(marker_cfg)
 92
 93
 94def main():
 95    """Main function."""
 96    # Load kit helper
 97    sim = SimulationContext(sim_utils.SimulationCfg(dt=0.01, substeps=1))
 98    # Set main camera
 99    sim.set_camera_view([0.0, 18.0, 12.0], [0.0, 3.0, 0.0])
100
101    # Spawn things into stage
102    # Lights
103    cfg = sim_utils.DomeLightCfg(intensity=3000.0, color=(0.75, 0.75, 0.75))
104    cfg.func("/World/Light", cfg)
105
106    # create markers
107    my_visualizer = define_markers()
108
109    # define a grid of positions where the markers should be placed
110    num_markers_per_type = 5
111    grid_spacing = 2.0
112    # Calculate the half-width and half-height
113    half_width = (num_markers_per_type - 1) / 2.0
114    half_height = (my_visualizer.num_prototypes - 1) / 2.0
115    # Create the x and y ranges centered around the origin
116    x_range = torch.arange(-half_width * grid_spacing, (half_width + 1) * grid_spacing, grid_spacing)
117    y_range = torch.arange(-half_height * grid_spacing, (half_height + 1) * grid_spacing, grid_spacing)
118    # Create the grid
119    x_grid, y_grid = torch.meshgrid(x_range, y_range, indexing="ij")
120    x_grid = x_grid.reshape(-1)
121    y_grid = y_grid.reshape(-1)
122    z_grid = torch.zeros_like(x_grid)
123    # marker locations
124    marker_locations = torch.stack([x_grid, y_grid, z_grid], dim=1)
125    marker_indices = torch.arange(my_visualizer.num_prototypes).repeat(num_markers_per_type)
126
127    # Play the simulator
128    sim.reset()
129    # Now we are ready!
130    print("[INFO]: Setup complete...")
131
132    # Yaw angle
133    yaw = torch.zeros_like(marker_locations[:, 0])
134    # Simulate physics
135    while simulation_app.is_running():
136        # rotate the markers around the z-axis for visualization
137        marker_orientations = quat_from_angle_axis(yaw, torch.tensor([0.0, 0.0, 1.0]))
138        # visualize
139        my_visualizer.visualize(marker_locations, marker_orientations, marker_indices=marker_indices)
140        # roll corresponding indices to show how marker prototype can be changed
141        if yaw[0].item() % (0.5 * torch.pi) < 0.01:
142            marker_indices = torch.roll(marker_indices, 1)
143        # perform step
144        sim.step()
145        # increment yaw
146        yaw += 0.01
147
148
149if __name__ == "__main__":
150    # run the main function
151    main()
152    # close sim app
153    simulation_app.close()

Configuring the markers#

The VisualizationMarkersCfg class provides a simple interface to configure different types of markers. It takes in the following parameters:

  • prim_path: The corresponding prim path for the marker class.

  • markers: A dictionary specifying the different marker prototypes handled by the class. The key is the name of the marker prototype and the value is its spawn configuration.

Note

In case the marker prototype specifies a configuration with physics properties, these are removed. This is because the markers are not meant to be simulated.

Here we show all the different types of markers that can be configured. These range from simple shapes like cones and spheres to more complex geometries like a frame or arrows. The marker prototypes can also be configured from USD files.

marker_cfg = VisualizationMarkersCfg(
    prim_path="/Visuals/myMarkers",
    markers={
        "frame": sim_utils.UsdFileCfg(
            usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/UIElements/frame_prim.usd",
            scale=(0.5, 0.5, 0.5),
        ),
        "arrow_x": sim_utils.UsdFileCfg(
            usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/UIElements/arrow_x.usd",
            scale=(1.0, 0.5, 0.5),
            visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 1.0, 1.0)),
        ),
        "cube": sim_utils.CuboidCfg(
            size=(1.0, 1.0, 1.0),
            visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 0.0, 0.0)),
        ),
        "sphere": sim_utils.SphereCfg(
            radius=0.5,
            visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 1.0, 0.0)),
        ),
        "cylinder": sim_utils.CylinderCfg(
            radius=0.5,
            height=1.0,
            visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 0.0, 1.0)),
        ),
        "cone": sim_utils.ConeCfg(
            radius=0.5,
            height=1.0,
            visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 1.0, 0.0)),
        ),
        "mesh": sim_utils.UsdFileCfg(
            usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Blocks/DexCube/dex_cube_instanceable.usd",
            scale=(10.0, 10.0, 10.0),
        ),
        "mesh_recolored": sim_utils.UsdFileCfg(
            usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Blocks/DexCube/dex_cube_instanceable.usd",
            scale=(10.0, 10.0, 10.0),
            visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 0.25, 0.0)),
        ),
        "robot_mesh": sim_utils.UsdFileCfg(
            usd_path=f"{ISAAC_ORBIT_NUCLEUS_DIR}/Robots/ANYbotics/ANYmal-D/anymal_d.usd",
            scale=(2.0, 2.0, 2.0),
            visual_material=sim_utils.GlassMdlCfg(glass_color=(0.0, 0.1, 0.0)),
        ),
    },
)

Drawing the markers#

To draw the markers, we call the visualize method. This method takes in as arguments the pose of the markers and the corresponding marker prototypes to draw.

# rotate the markers around the z-axis for visualization
marker_orientations = quat_from_angle_axis(yaw, torch.tensor([0.0, 0.0, 1.0]))
# visualize
my_visualizer.visualize(marker_locations, marker_orientations, marker_indices=marker_indices)
# roll corresponding indices to show how marker prototype can be changed
if yaw[0].item() % (0.5 * torch.pi) < 0.01:
    marker_indices = torch.roll(marker_indices, 1)

Executing the Script#

To run the accompanying script, execute the following command:

./orbit.sh -p source/standalone/demos/markers.py

The simulation should start, and you can observe the different types of markers arranged in a grid pattern. The markers will rotating around their respective axes. Additionally every few rotations, they will roll forward on the grid.

To stop the simulation, close the window, or use Ctrl+C in the terminal.