| Task: |
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| Load the Lobster dataset from "lobster/data/lobster_301x324x56_uint8.raw", the information about this dataset: |
| Lobster |
| Description: CT scan of a lobster contained in a block of resin. |
| Data Type: uint8 |
| Data Byte Order: little Endian |
| Data Spacing: 1x1x1.4 |
| Data Extent: 301x324x56 |
| Data loading is very important, make sure you correctly load the dataset according to their features. |
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| Visualize the scanned specimen: |
| 1. Create an isosurface at the specimen boundary, find a proper isovalue to show the whole structure. |
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| 2. Use natural colors appropriate for the specimen (red-orange for lobster) |
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| 3. Analyze the visualization and answer the following questions: |
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| Q1: Based on the isosurface visualization of the lobster specimen, how many walking legs are visible? |
| A. 6 walking legs |
| B. 7 walking legs |
| C. 8 walking legs |
| D. 10 walking legs |
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| 4. Use a white background. Find an optimal view. Render at 1280x1280. Do not show a color bar or coordinate axes. |
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| 5. Set the viewpoint parameters as: [543.52, -957.0, 1007.87] to position; [150.0, 161.5, 38.5] to focal point; [-0.15, 0.62, 0.77] to camera up direction. |
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| 6. Save your work: |
| Save the visualization image as "lobster/results/{agent_mode}/lobster.png". |
| Save the answers to the analysis questions in plain text as "lobster/results/{agent_mode}/answers.txt". |
| (Optional, but must save if use paraview) Save the paraview state as "lobster/results/{agent_mode}/lobster.pvsm". |
| (Optional, but must save if use pvpython script) Save the python script as "lobster/results/{agent_mode}/lobster.py". |
| (Optional, but must save if use VTK) Save the cxx code script as "lobster/results/{agent_mode}/lobster.cxx" |
| Do not save any other files, and always save the visualization image and the text file. |
