Add 7 vector field visualization cases (ABC, Bernard, twoswirls, crayfish, tornado, supernova100, rti-velocity_slices)
eebd130 | Load the Crayfish flow vector field from "crayfish/data/crayfish.raw", the information about this dataset: | |
| Crayfish Flow (Vector) | |
| Data Scalar Type: float | |
| Data Byte Order: Little Endian | |
| Data Extent: 322x162x119 | |
| Number of Scalar Components: 3 | |
| Data loading is very important, make sure you correctly load the dataset according to their features. | |
| Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2: | |
| - Streamline 1: Seed center at [107.33, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color 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 0.02 -> RGB(0.865, 0.865, 0.865) (white) | |
| - Value 0.15 -> RGB(0.706, 0.016, 0.149) (red) | |
| - Streamline 2: Seed center at [214.67, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Vorticity magnitude using the same colormap. | |
| Show the dataset bounding box as an outline (black). | |
| In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline. | |
| Use a gray-blue background (RGB: 0.329, 0.349, 0.427). Render at 1280x1280. | |
| Save the paraview state as "crayfish/results/{agent_mode}/crayfish.pvsm". | |
| Save the visualization image as "crayfish/results/{agent_mode}/crayfish.png". | |
| (Optional, if use python script) Save the python script as "crayfish/results/{agent_mode}/crayfish.py". | |
| Do not save any other files, and always save the visualization image. | |