Add 7 vector field visualization cases (ABC, Bernard, twoswirls, crayfish, tornado, supernova100, rti-velocity_slices)
eebd130 | Load the Supernova velocity vector field from "supernova100/data/supernova100.raw", the information about this dataset: | |
| Supernova Velocity (Vector) | |
| Data Scalar Type: float | |
| Data Byte Order: Little Endian | |
| Data Extent: 100x100x100 | |
| Number of Scalar Components: 3 | |
| Data loading is very important, make sure you correctly load the dataset according to their features. | |
| Create streamlines using a "Stream Tracer" filter with "Point Cloud" seed type. Set the seed center to [50, 50, 50], with 200 seed points and a radius of 45.0. Set maximum streamline length to 100.0. | |
| Add a "Tube" filter on the stream tracer. Set tube radius to 0.3 with 12 sides. | |
| Color the tubes by Vorticity magnitude using a diverging colormap with the following RGB control points: | |
| - Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue) | |
| - Value 0.05 -> RGB(0.865, 0.865, 0.865) (white) | |
| - Value 0.5 -> RGB(0.706, 0.016, 0.149) (red) | |
| Show the dataset bounding box as an outline (black). | |
| In the pipeline browser panel, hide the stream tracer and only show the tube filter and the outline. | |
| Render at 1280x1280. | |
| Save the paraview state as "supernova100/results/{agent_mode}/supernova100.pvsm". | |
| Save the visualization image as "supernova100/results/{agent_mode}/supernova100.png". | |
| (Optional, if use python script) Save the python script as "supernova100/results/{agent_mode}/supernova100.py". | |
| Do not save any other files, and always save the visualization image. | |