modify some GS results and task descriptions

main/carp/GS/carp_gs.pvsm

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b6b1f8ef7f14cc0939313dece7a3f73725efa29f0b3242827a3205ee27d5d55
-size 234004
+oid sha256:5cad692d281b2875a7ddcc9f35e0573bd9843380fae07a1cc99d84103732306c
+size 225932

main/carp/task_description.txt

@@ -13,7 +13,7 @@ Instructions:
 
 2. Apply volume rendering to visualize the carp skeleton.
 
-3. Adjust the transfer function to highlight only the bony structures in an X-ray style (suppressing soft tissue).
+3. Adjust the transfer function to highlight only the bony structures in a warm yellow tone, resembling the skeletal displays commonly seen in museums (suppressing soft tissue, you may need to enable shading or fine-tune the lighting to achieve the optimal visual effect).
 
 4. Optimize the viewpoint to display the full skeleton, ensuring the head, spine, and fins are all clearly visible in a single frame.
 

main/lobster/GS/lobster_gs.pvsm

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4850853e90dc12c5b72c08a48dde7972da869ed6a1ffca9b43fae04e85618057
-size 378290
+oid sha256:955b28b9caa3cff4c97ad777f63484fae606faeb66a7b0be8b55361a3f56e23e
+size 378283

main/screenshot_gs.sh

@@ -1,9 +1,9 @@
 # !/bin/bash
-# Example usage of screenshot_helper.py for the carp dataset, 
+# Example usage of screenshot_helper.py for the tornado dataset, 
 # which generates three views (front, side, diagonal) of screenshots for a given ParaView state file
-pvpython screenshot_helper.py --gs_state_path carp/GS/carp_gs.pvsm \
-    --gs_img_path carp/GS \
-    --data_directory carp/data \
+pvpython screenshot_helper.py --gs_state_path tornado/GS/tornado_gs.pvsm \
+    --gs_img_path tornado/GS \
+    --data_directory tornado/data \
     # data_directory is needed to load the data files correctly, otherwise use the data path in the state file
-    # --result_state_path carp/results/carp_result.pvsm \
-    # --result_img_path carp/results \
+    # --result_state_path tornado/results/tornado_result.pvsm \
+    # --result_img_path tornado/results \

main/supernova/GS/supernova_gs.pvsm

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:22c09e249d30b845f08876fc48c05f0f338929e7c8f7a8e438f142900fa0dc11
-size 475414
+oid sha256:474a80993255b7c322461eb0c631cb971fd59925f4f28eac76432c7f9d7fa371
+size 506778

main/supernova/task_description.txt

@@ -8,7 +8,7 @@ Data Spacing: 1x1x1
 Data Extent: 256x256x256
 Data loading is very important, make sure you correctly load the dataset according to their features.
 
-Then visualize it and extract two isosurfaces. One of them use color red, showing areas with low density (isovalue 40 and opacity 0.4), while the other use color blue, showing areas with high density (isovalue 150 and opacity 0.8).
+Then visualize it and extract two isosurfaces. One of them use color red, showing areas with low density (isovalue 40 and opacity 0.2), while the other use color blue, showing areas with high density (isovalue 150 and opacity 0.4).
 
 Please think step by step and make sure to fulfill all the visualization goals mentioned above. Only make the two isosurfaces visible.
 

main/tornado/GS/tornado_gs.pvsm

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d0925273b0be89973865699b20ca9bc92214a10c0d69aa785bc7366ac96ec3e3
-size 597880
+oid sha256:bf886758e0a73b96bb0df842f59cf1e1be23712b75bcef47f89363a807cafcff
+size 608378

main/tornado/task_description.txt

@@ -10,7 +10,7 @@ Data loading is very important, make sure you correctly load the dataset accordi
 
 Add a “glyph” filter under the tornado data to display velocity glyph, set an appropriate “Scale Factor” so the glyphs are visible.
 
-Then add a “stream tracer” filter under the tornado data to generate streamlines. Choose “Point Cloud” as “Seed Type”, and do not show sphere.
+Then add a “stream tracer” filter under the tornado data to generate streamlines. Choose “Point Cloud” as “Seed Type”, and do not show sphere. Try to figure out the best position to place the critical points and the radius of the sphere for optimal visualization.
 
 Add a “tube” filter under the stream tracer you just created to generate tubes for visualizing the streamlines. Set an appropriate radius. Make the stream tracer invisible and the tube visible. At last, render the streamlines as tubes.