SciVisAgentBench-tasks / paraview /carp /task_description.txt
KuangshiAi
update with camera info
dc736c1
Task:
Load the carp dataset from "carp/data/carp_256x256x512_uint16.raw", the information about this dataset:
Carp (Scalar)
Data Scalar Type: unsigned short
Data Byte Order: little Endian
Data Spacing: 0.78125x0.390625x1
Data Extent: 256x256x512
Instructions:
1. Load the dataset into ParaView.
2. Apply volume rendering to visualize the carp skeleton.
3. Adjust the transfer function to highlight only the bony structures with the original bone color.
4. Optimize the viewpoint to display the full skeleton, ensuring the head, spine, and fins are all clearly visible in a single frame.
5. Analyze the visualization and answer the following questions:
Q1: Which of the following options correctly describes the fins visible in the carp skeleton visualization?
A. 5 fins: 1 dorsal, 2 pectoral, 2 pelvic
B. 6 fins: 1 dorsal, 2 pectoral, 2 pelvic, 1 caudal
C. 7 fins: 1 dorsal, 2 pectoral, 2 pelvic, 1 anal, 1 caudal
D. 8 fins: 2 dorsal, 2 pectoral, 2 pelvic, 1 anal, 1 caudal
Q2: Based on the visualization, what is the approximate ratio of skull length to total body length?
A. ~15%
B. ~22%
C. ~30%
D. ~40%
6. Use a white background. Find an optimal view. Render at 1280x1280. Do not show a color bar or coordinate axes.
7. Set the viewpoint parameters as: [265.81, 1024.69, 131.23] to position; [141.24, 216.61, 243.16] to focal point; [0.99, -0.14, 0.07] to camera up direction.
8. Save your work:
Save the visualization image as "carp/results/{agent_mode}/carp.png".
Save the answers to the analysis questions in plain text as "carp/results/{agent_mode}/answers.txt".
(Optional, but must save if use paraview) Save the paraview state as "carp/results/{agent_mode}/carp.pvsm".
(Optional, but must save if use pvpython script) Save the python script as "carp/results/{agent_mode}/carp.py".
(Optional, but must save if use VTK) Save the cxx code script as "carp/results/{agent_mode}/carp.cxx"
Do not save any other files, and always save the visualization image and the text file.