SciVisAgentBench-tasks / paraview /ABC /task_description.txt
KuangshiAi
update with camera info
dc736c1
Load the ABC (Arnold-Beltrami-Childress) flow vector field from "ABC/data/ABC_128x128x128_float32_scalar3.raw", the information about this dataset:
ABC Flow (Vector)
Data Scalar Type: float
Data Byte Order: Little Endian
Data Extent: 128x128x128
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 [73.77, 63.25, 71.65], with 150 seed points and a radius of 75.0. Set integration direction to "BOTH" and maximum streamline length to 150.0.
Add a "Tube" filter on the stream tracer to enhance visualization. Set tube radius to 0.57 with 12 sides.
Color the tubes by Vorticity magnitude using the 'Cool to Warm (Diverging)' colormap.
Show the dataset bounding box as an outline.
Use a white background. Render at 1024x1024.
Set the viewpoint parameters as: [-150.99, 391.75, 219.64] to position; [32.38, 120.41, 81.63] to focal point; [0.23, -0.31, 0.92] to camera up direction.
Save the visualization image as "ABC/results/{agent_mode}/ABC.png".
(Optional, but must save if use paraview) Save the paraview state as "ABC/results/{agent_mode}/ABC.pvsm".
(Optional, but must save if use python script) Save the python script as "ABC/results/{agent_mode}/ABC.py".
Do not save any other files, and always save the visualization image.