[Question] Visualize Camera sensor pointcloud on the viewport

[abizovnuralem]

Question

Hello Dear Orbit dev team! I was trying to setup the PinholeCameraCfg instead of GridPatternCfg using this demo as a basement for my experiments: ./orbit.sh -p source/standalone/tutorials/04_sensors/add_sensors_on_robot.py. For now, after adding it with other sensors, I get only infinite values and I cannot see any red dots in the sim, can you please give me advice how to get values from it? Thanks!

The config:

sensors

camera = CameraCfg(
    prim_path="{ENV_REGEX_NS}/Robot/base/front_cam",
    update_period=0.1,
    height=480,
    width=640,
    data_types=["rgb", "distance_to_image_plane"],
    spawn=sim_utils.PinholeCameraCfg(
        focal_length=24.0, focus_distance=400.0, horizontal_aperture=20.955, clipping_range=(0.1, 1.0e5)
    ),
    offset=CameraCfg.OffsetCfg(pos=(0.510, 0.0, 0.015), rot=(0.5, -0.5, 0.5, -0.5), convention="ros"),
)
height_scanner = RayCasterCfg(
    prim_path="{ENV_REGEX_NS}/Robot/base",
    update_period=0.02,
    offset=RayCasterCfg.OffsetCfg(pos=(0.0, 0.0, 20.0)),
    attach_yaw_only=True,
    pattern_cfg=patterns.GridPatternCfg(resolution=0.1, size=[1.6, 1.0], direction=[0.0, 0.0, -1.0]),
    debug_vis=True,
    mesh_prim_paths=["/World/defaultGroundPlane"],
)

lidar = RayCasterCfg(
    prim_path="{ENV_REGEX_NS}/Robot/base",
    offset=RayCasterCfg.OffsetCfg(pos=(10.0, 0.0, 20.0)),
    pattern_cfg=patterns.BpearlPatternCfg(horizontal_fov=360.0, horizontal_res=10.0),
    debug_vis=True,
    mesh_prim_paths=["/World/defaultGroundPlane"],
)


contact_forces = ContactSensorCfg(
    prim_path="{ENV_REGEX_NS}/Robot/.*_FOOT", update_period=0.0, history_length=6, debug_vis=True
)

The way How I get values:

print information from the sensors

    print("-------------------------------")
    print(scene["camera"])
    print("Received shape of rgb   image: ", scene["camera"].data.output["rgb"].shape)
    print("Received shape of depth image: ", scene["camera"].data.output["distance_to_image_plane"].shape)
    print("-------------------------------")
    print(scene["height_scanner"])
    print("Received max height value: ", torch.max(scene["height_scanner"].data.ray_hits_w[..., -1]).item())
    print("-------------------------------")
    print(scene["contact_forces"])
    print("Received max contact force of: ", torch.max(scene["contact_forces"].data.net_forces_w).item())
    print("-------------------------------")
    print(scene["lidar"])
    print("Received max lidar value: ", torch.max(scene["lidar"].data.ray_hits_w[..., -1]).item())

[Mayankm96]

@pascal-roth Can you help out here?

[Mayankm96]

I revisited this issue. We don't have any debug visualization for the camera sensor. And so, you don't seem to see any pointcloud for it. It should be easy to add this based on the ray-caster-camera itself. We'd be happy to accept an MR for this.