SciVisAgentBench-tasks / paraview /bonsai /task_description.txt
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Task:
Load the bonsai dataset from "bonsai/data/bonsai_256x256x256_uint8.raw", the information about this dataset:
Bonsai (Scalar)
Data Scalar Type: unsigned char
Data Byte Order: little Endian
Data Spacing: 1x1x1
Data Extent: 256x256x256
Then visualize it with volume rendering, modify the transfer function and reach the visualization goal as: "A potted tree with brown pot silver branch and golden leaves."
Please think step by step and make sure to fulfill all the visualization goals mentioned above.
Use a white background. Render at 1280x1280. Do not show a color bar or coordinate axes.
Set the viewpoint parameters as: [-765.09, 413.55, 487.84] to position; [-22.76, 153.30, 157.32] to focal point; [0.30, 0.95, -0.07] to camera up direction.
Save the visualization image as "bonsai/results/{agent_mode}/bonsai.png".
(Optional, but must save if use paraview) Save the paraview state as "bonsai/results/{agent_mode}/bonsai.pvsm".
(Optional, but must save if use pvpython script) Save the python script as "bonsai/results/{agent_mode}/bonsai.py".
Do not save any other files, and always save the visualization image.