| Task: |
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| 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 |
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| Instructions: |
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| 1. Load the dataset into ParaView. |
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| 2. Apply volume rendering to visualize the carp skeleton. |
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| 3. Adjust the transfer function to highlight only the bony structures with the original bone color. |
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| 4. Optimize the viewpoint to display the full skeleton, ensuring the head, spine, and fins are all clearly visible in a single frame. |
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| 5. Analyze the visualization and answer the following questions: |
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| 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 |
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| 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% |
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| 6. Use a white background. Find an optimal view. Render at 1280x1280. Do not show a color bar or coordinate axes. |
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| 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. |
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| 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. |