| Task: | |
| 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. | |
| Visualize the scanned specimen: | |
| 1. Create an isosurface at the specimen boundary, find a proper isovalue to show the whole structure. | |
| 2. Use natural colors appropriate for the specimen (red-orange for lobster) | |
| 3. Analyze the visualization and answer the following questions: | |
| 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 | |
| 4. Use a white background. Find an optimal view. Render at 1280x1280. Do not show a color bar or coordinate axes. | |
| 5. 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. |