Advance sequence and time clocks and update current frame tracking. This method synchronizes the visualization timeline by setting b

Set a monotonically increasing sequence clock for temporal navigation. Args: name: Identifier for this time sequence for

Generate colors and labels for point cloud visualization based on the specified mode. Args: xyz: Point cloud coordinates

Get list of all sequence UUIDs in the dataset. Returns: List of sequence UUID strings available in the dataset

Load complete sequence data for a given UUID. Args: sequence_uuid: UUID of the sequence to load Returns:

Apply a 4x4 homogeneous transformation to a set of 3D points. Transforms 3D points using a rigid body transformation matrix. The function

Visualize a single frame with all sensor data including LiDAR, cameras, and bounding boxes. This method processes and visualizes all

Log a complete frame of multi-modal sensor data to the visualization. This is the main data ingestion method that accepts various se

Clear stale data by logging empty entities to unused namespaces. Args: curr_stream_set: Dictionary mapping stream types

Validate if a sequence UUID exists in the dataset. Args: sequence_uuid: UUID string to validate Returns:

Print a formatted table of all sequence UUIDs in the dataset. Displays dataset version information, total sequence count, and

Draw a static 3D grid representing the ground plane. Creates a grid of 3D line strips based on the ground_config parameters.

Main function to run the AevaScenes visualizer.

Parse command line arguments for AevaScenes visualization.

Generate RGB colors for point cloud visualization based on reflectivity values. Creates a plasma-like colormap for LiDAR reflectivity/intens

Set a nanosecond-precision time axis for high-accuracy synchronization. Args: name: Identifier for this time axis (e.g.,

Validate that the dataroot exists.

Generate RGB colors for point cloud visualization based on velocity values. Creates a color mapping where: - Static points (velocity ≈ 0

Visualize randomly sampled frames from all sequences in the dataset. This method iterates through all sequences in the dataset, rand

Visualize all frames in a specific sequence in chronological order. Args: sequence_uuid: UUID of the sequence to visuali

Initialize AevaScenes dataset interface. Args: dataroot: Path to the root directory of the AevaScenes dataset

Initialize the AevaScenes Rerun visualizer. Sets up the Rerun visualization environment with a default layout optimized for

Convert bounding box velocity data to Rerun Arrows3D format for motion visualization. Creates 3D arrow vectors representing the linear veloci

Convert bounding boxes to Rerun Boxes3D format for 3D visualization. Transforms a list of bounding boxes in AevaScenes format to a Rerun Boxe

Convert serialized bounding box data to numpy arrays for computational use. Args: boxes: List of serialized bounding box dictionarie

Retrieve the local IP address of the current machine.. Returns: Local IP address as a string (e.g., "192.168.1.100").

Perform one-time scene setup and initialization. This method should be called once after creating the visualizer instance to

Convert a 4x4 homogeneous transformation matrix to a pose dictionary. Decomposes a 4x4 homogeneous transformation matrix into separate trans

Apply a mapping dictionary to a numpy array using pandas for efficient lookup. Args: input_array: Input numpy array of any shape con

Convert a pose dictionary to a 4x4 homogeneous transformation matrix. Transforms a pose representation containing separate translation and ro

Project 3D LiDAR points onto a camera image with color-coded overlay. Transforms 3D LiDAR points to camera coordinates, projects them onto t

Generate RGB colors for point cloud visualization based on distance from origin. Creates a rainbow colormap (turbo) where colors represent t

Read data from a file with automatic format detection based on file extension. Args: filename: Input file path including extension

Apply a 4x4 homogeneous transformation to a list of 3D bounding boxes. Transforms 3D bounding boxes by applying the transformation to their

Generate blended RGB colors using both velocity and reflectivity information. Creates a hybrid colormap that emphasizes dynamic objects thro

Write data to a file with automatic format detection based on file extension. Args: data: Data to be written. Type depends on format