![]() cp.R_cam_to_lidar: the rotation between the Lidar reference and the camera reference, see below for more details on how to set it (it is actually a parameter of camera_path).trajectory_name: the name of the element of the pipeline that serves for trajectory (it must contain Time and Orientation(AxisAngle) for each point).Some of the module parameters can/must be overridden to correspond to your actual setup: Temporal_animation_cue_helpers provides some helpers functions in order to generate start_cue / tick / end_cue for temporal data with a trajectory using minimal code: The usage of PythonAnimationCue is explained further down in this tutorial. How to define an animation cue script with temporal_animation_cue_helpersĪn animation cue script is meant to be provided to a PythonAnimationCue. Those scripts require to have scipy installed on the python used by LidarView ( pip install scipy on Linux or OS X). LidarView now provides helper modules to create such scripts: The smp.PythonAnimationCue() object requires this python script to be manually copy/pasted to the LidarView interface or provided as its animation.Script property (as a string). """Function called at the end of the animation """Function called at each time step of the animation """Function called at the beginning of the animation This script must have the following structure: import paraview.simple as smp Relative orbit example How to create such animationsĬamera animations in LidarView are generated with a PythonAnimationCue object, which expects a script to define what the animation is doing when it starts, at each step and when it ends. The scene is viewed following an orbit centered on the vehicle (ie. The scene is viewed from a constant point relative to the vehicle (ie. ![]() The scene is viewed from the current point in the trajectory. Absolute orbit example Animations with a movement relative to the trajectory The scene is viewed following an orbit around a point of the scene reference. The scene is viewed from a constant point in the scene reference, fixed compared to the background. Overview of the different kinds of temporal animations Animations with a movement relative to the scene In this tutorial, we’ll see how to generate temporal animations like the following: This kind of animation also works on both temporal and non-temporal data. The camera moves in a “frozen” version of the data. non-temporal animations are simpler animations, moving the camera but not updating the pipeline time.the car reference for a Lidar placed on a car) at each step. They increment the pipeline time at each step and require providing a trajectory input which is used to move the data reference (e.g. temporal animations are animations that depend on the data flow.We can distinguish 2 types of animations in LidarView: In this post, we will see how to use tools included in LidarView to programmatically generate visualizations of a temporal dataset (a dataset evolving with time, such as a Lidar recording) with a moving camera using ParaView animations and screenshots.
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