| name | pywayne-visualization-rerun-utils |
| description | Static 3D visualization utilities wrapping Rerun SDK for adding point clouds, trajectories, cameras, planes, and chessboards. Use when visualizing 3D data in Rerun, including SLAM trajectories, robot poses, camera calibration targets, and debug visualizations. All methods are static and do not require viewer instance management. For SE(3)/SO(3) matrix operations, use pywayne-vio-se3 or pywayne-vio-so3 skills. |
Pywayne Visualization Rerun Utils
pywayne.visualization.rerun_utils.RerunUtils provides static methods for adding 3D elements to a Rerun viewer.
Quick Start
import numpy as np
import rerun as rr
from pywayne.visualization.rerun_utils import RerunUtils
rr.init('my_app', spawn=True)
RerunUtils.add_point_cloud(points, colors=[255, 0, 0])
RerunUtils.add_trajectory(trajectory)
RerunUtils.add_camera(pose, image='path/to/image.jpg')
Point Cloud
RerunUtils.add_point_cloud(points)
colors = np.random.randint(0, 255, (100, 3))
RerunUtils.add_point_cloud(points, colors=colors, label='colored')
Trajectory
RerunUtils.add_trajectory(trajectory)
colors = np.array([[0, 255, 0], [255, 0, 0]], dtype=np.float32)
RerunUtils.add_trajectory(trajectory, colors=colors, label='path')
Camera
RerunUtils.add_camera(pose, label='main_camera')
RerunUtils.add_camera(pose, image='path/to/image.jpg', label='rgb_camera')
Plane
RerunUtils.add_plane_from_center_and_normal(center, normal, half_size=1.0)
RerunUtils.add_plane_from_Twp(Twp, half_size=1.0)
Chessboard
RerunUtils.add_chessboard_from_Twp()
RerunUtils.add_chessboard_from_Twp(
rows=9, cols=6, cell_size=0.025,
Twp=pose_matrix,
color1=np.array([255, 0, 0]),
color2=np.array([0, 0, 255])
label='calib_board'
)
Internal Helper
quat = RerunUtils._get_quaternion_from_v1_and_v2(v1, v2)
Important Notes
- Initialization: Call
rr.init('name', spawn=True) once before using methods
- Static methods: All methods are static class methods, no instance needed
- Dependencies: Requires Rerun SDK (auto-downloaded via
gettool)
- Data types: All position inputs must be
float32
- Coordinates: Rerun uses
ViewCoordinates.RDF (robot-centric coordinate system)
- SE3 poses: Support (4, 4) or (4, 7) matrix formats
- Color format: RGB as numpy arrays with shape (3,)