Difference between revisions of "CNF Example Meshes"

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(→‎CFF_14052019)
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</pre>
 
</pre>
  
−
GPDMMS13_140519: [https://odu.app.box.com/file/457597889650 Input Image] [https://odu.app.box.com/file/560418993018 Output Mesh]
+
GPDMMS13_140519: [https://odu.app.box.com/file/457597889650 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/GPDMMS13_140519.nrrd --delta 5 --cnf --weight-limit 0.05 --min-edge 1 --output ./GPDMMS13_140519,d=5,wl=0.05,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:GPDMMS13_140519,d=5,wl=0.05,me=1.png
 +
</gallery>
 +
 
 +
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
  
−
[[File:GPDMMS13_140519,d=5,wl=0.05,me=1.png|500px|GPDMMS13_140519,d=5,wl=0.05,me=1]]
+
'''Adaptive :''' [https://odu.app.box.com/file/560418993018 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/GPDMMS13_140519.nrrd --delta 5 --cnf --weight-limit 0.05 --min-edge 1 --output ./GPDMMS13_140519,d=5,wl=0.05,me=1.vtk
 +
</pre>
 
   
 
   
−
GPDVGG99_140519: [https://odu.app.box.com/file/457597862395 Input Image] [https://odu.app.box.com/file/560412156590 Output Mesh]
+
GPDVGG99_140519: [https://odu.app.box.com/file/457597862395 Input Image]
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/GPDVGG99_140519.nrrd --delta 5 --cnf --weight-limit 0.05 --min-edge 1 --output ./GPDVGG99_140519,d=5,wl=0.05,me=1.vtk</pre>
+
* Input distribution size : 1,000,000 cells
 +
* Uniform case:  tetrahedra
 +
* Adapted case:  tetrahedra
  
−
[[File:GPDVGG99_140519,d=5,wl=0.05,me=1.png|500px|GPDVGG99_140519,d=5,wl=0.05,me=1]]
+
<gallery mode="packed" heights=350px>
 +
File:GPDVGG99_140519,d=5,wl=0.05,me=1.png
 +
</gallery>
  
−
NT_140519: [https://odu.app.box.com/file/457595187755 Input Image] [https://odu.app.box.com/file/560417456108 Output Mesh]
+
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560412156590 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/GPDVGG99_140519.nrrd --delta 5 --cnf --weight-limit 0.05 --min-edge 1 --output ./GPDVGG99_140519,d=5,wl=0.05,me=1.vtk
 +
</pre>
 +
 
 +
NT_140519: [https://odu.app.box.com/file/457595187755 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/NT_140519.nrrd --delta 5 --cnf --weight-limit 0.07 --min-edge 1 --output ./NT_140519,d=5,wl=0.07,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:NT_140519,d=5,wl=0.07,me=1.png
 +
</gallery>
  
−
[[File:NT_140519,d=5,wl=0.07,me=1.png|500px|NT_140519,d=5,wl=0.07,me=1]]
+
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560417456108 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/NT_140519.nrrd --delta 5 --cnf --weight-limit 0.07 --min-edge 1 --output ./NT_140519,d=5,wl=0.07,me=1.vtk
 +
</pre>
  
−
OBS_ALU_140519: [https://odu.app.box.com/file/457603095071 Input Image] [https://odu.app.box.com/file/560419803420 Output Mesh]
+
OBS_ALU_140519: [https://odu.app.box.com/file/457603095071 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/OBS_ALU_140519.nrrd --delta 5 --cnf --weight-limit 0.13 --min-edge 1 --output ./OBS_ALU_140519,d=5,wl=0.13,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:OBS_ALU_140519,d=5,wl=0.13,me=1.png
 +
</gallery>
  
−
[[File:OBS_ALU_140519,d=5,wl=0.13,me=1.png|500px|OBS_ALU_140519,d=5,wl=0.13,me=1]]
+
Commands to generate meshes :
  
−
OBS_CS_140519: [https://odu.app.box.com/file/457597843866 Input Image] [https://odu.app.box.com/file/560412481982 Output Mesh]
+
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560419803420 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/OBS_ALU_140519.nrrd --delta 5 --cnf --weight-limit 0.13 --min-edge 1 --output ./OBS_ALU_140519,d=5,wl=0.13,me=1.vtk
 +
</pre>
 +
 
 +
OBS_CS_140519: [https://odu.app.box.com/file/457597843866 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/OBS_CS_140519.nrrd --delta 5 --cnf --weight-limit 0.01 --min-edge 1 --output ./OBS_CS_140519,d=5,wl=0.01,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:OBS_CS_140519,d=5,wl=0.01,me=1.png
 +
</gallery>
 +
 
 +
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
  
−
[[File:OBS_CS_140519,d=5,wl=0.01,me=1.png|500px|OBS_CS_140519,d=5,wl=0.01,me=1]]
+
'''Adaptive :''' [https://odu.app.box.com/file/560412481982 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/OBS_CS_140519.nrrd --delta 5 --cnf --weight-limit 0.01 --min-edge 1 --output ./OBS_CS_140519,d=5,wl=0.01,me=1.vtk
 +
</pre>
  
 
==CFF_DATA==
 
==CFF_DATA==
−
cff_E.data_IM: [https://odu.app.box.com/file/440188013797 Input Image] [https://odu.app.box.com/file/560455612588 Output Mesh]
+
cff_E.data_IM: [https://odu.app.box.com/file/440188013797 Input Image]
 
* Input distribution size : 8,000,000 cells
 
* Input distribution size : 8,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_IM.nrrd --delta 5 --cnf --weight-limit 0.01 --min-edge 1 --output ./cff_E.data_IM,d=10,wl=0.01,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:cff_E.data_IM,d=10,wl=0.01,me=1.png
 +
</gallery>
  
−
[[File:cff_E.data_IM,d=10,wl=0.01,me=1.png|500px|cff_E.data_IM,d=10,wl=0.01,me=1]]
+
Commands to generate meshes :
  
−
cff_E.data_REAL: [https://odu.app.box.com/file/440199404775 Input Image] [https://odu.app.box.com/file/560476079164 Output Mesh]
+
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560455612588 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_IM.nrrd --delta 5 --cnf --weight-limit 0.01 --min-edge 1 --output ./cff_E.data_IM,d=10,wl=0.01,me=1.vtk
 +
</pre>
 +
 
 +
cff_E.data_REAL: [https://odu.app.box.com/file/440199404775 Input Image]
 
* Input distribution size : 8,000,000 cells
 
* Input distribution size : 8,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_E.data_REAL,d=10,wl=0.1,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:cff_E.data_REAL,d=10,wl=0.1,me=1.png
 +
</gallery>
  
−
[[File:cff_E.data_REAL,d=10,wl=0.1,me=1.png|500px|cff_E.data_REAL,d=10,wl=0.1,me=1]]
+
Commands to generate meshes :
  
−
cff_H.data_IM: [https://odu.app.box.com/file/440195394761 Input Image] [https://odu.app.box.com/file/560474153565 Output Mesh]
+
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560476079164 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_E.data_REAL,d=10,wl=0.1,me=1.vtk
 +
</pre>
 +
 
 +
cff_H.data_IM: [https://odu.app.box.com/file/440195394761 Input Image]
 
* Input distribution size : 8,000,000 cells
 
* Input distribution size : 8,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_IM.nrrd --delta 10 --cnf --weight-limit 0.05 --min-edge 1 --output ./cff_H.data_IM,d=10,wl=0.05,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:cff_H.data_IM,d=10,wl=0.05,me=1.png
 +
</gallery>
 +
 
 +
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
  
−
[[File:cff_H.data_IM,d=10,wl=0.05,me=1.png|500px|cff_H.data_IM,d=10,wl=0.05,me=1]]
+
'''Adaptive :''' [https://odu.app.box.com/file/560474153565 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_IM.nrrd --delta 10 --cnf --weight-limit 0.05 --min-edge 1 --output ./cff_H.data_IM,d=10,wl=0.05,me=1.vtk
 +
</pre>
  
−
cff_H.data_REAL: [https://odu.app.box.com/file/440197214881 Input Image] [https://odu.app.box.com/file/560472812787 Output Mesh]
+
cff_H.data_REAL: [https://odu.app.box.com/file/440197214881 Input Image]
 
* Input distribution size : 8,000,000 cells
 
* Input distribution size : 8,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_H.data_REAL,d=10,wl=0.1,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:cff_H.data_REAL,d=10,wl=0.1,me=1.png
 +
</gallery>
 +
 
 +
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
  
−
[[File:cff_H.data_REAL,d=10,wl=0.1,me=1.png|500px|cff_H.data_REAL,d=10,wl=0.1,me=1]]
+
'''Adaptive :''' [https://odu.app.box.com/file/560472812787 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_H.data_REAL,d=10,wl=0.1,me=1.vtk
 +
</pre>
  
−
cff_Ht.data_IM: [https://odu.app.box.com/file/440188769890 Input Image] [https://odu.app.box.com/file/560472245094 Output Mesh]
+
cff_Ht.data_IM: [https://odu.app.box.com/file/440188769890 Input Image]
 
* Input distribution size : 8,000,000 cells
 
* Input distribution size : 8,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_IM.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_Ht.data_IM,d=10,wl=0.1,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:cff_Ht.data_IM,d=10,wl=0.1,me=1.png
 +
</gallery>
 +
 
 +
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
  
−
[[File:cff_Ht.data_IM,d=10,wl=0.1,me=1.png|500px|cff_Ht.data_IM,d=10,wl=0.1,me=1]]
+
'''Adaptive :''' [https://odu.app.box.com/file/560472245094 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_IM.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_Ht.data_IM,d=10,wl=0.1,me=1.vtk
 +
</pre>
  
−
cff_Ht.data_REAL: [https://odu.app.box.com/file/440193326284 Input Image] [https://odu.app.box.com/file/560456410980 Output Mesh]
+
cff_Ht.data_REAL: [https://odu.app.box.com/file/440193326284 Input Image]
 
* Input distribution size : 8,000,000 cells
 
* Input distribution size : 8,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_Ht.data_REAL,d=10,wl=0.1,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:cff_Ht.data_REAL,d=10,wl=0.1,me=1.png
 +
</gallery>
  
−
[[File:cff_Ht.data_REAL,d=10,wl=0.1,me=1.png|500px|cff_Ht.data_REAL,d=10,wl=0.1,me=1]]
+
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560456410980 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_Ht.data_REAL,d=10,wl=0.1,me=1.vtk
 +
</pre>
  
 
==DATA_04252019==
 
==DATA_04252019==
−
CFF_E_im: [https://odu.app.box.com/file/447005118740 Input Image] [https://odu.app.box.com/file/560480465505 Output Mesh]
+
CFF_E_im: [https://odu.app.box.com/file/447005118740 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_E_im.nrrd --delta 5 --cnf --weight-limit 0.04 --min-edge 1 --output ./CFF_E_im,d=5,wl=0.04,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:CFF_E_im,d=5,wl=0.04,me=1.png
 +
</gallery>
  
−
[[File:CFF_E_im,d=5,wl=0.04,me=1.png|500px|CFF_E_im,d=5,wl=0.04,me=1]]
+
Commands to generate meshes :
  
−
CFF_E_re: [https://odu.app.box.com/file/447003110701 Input Image] [https://odu.app.box.com/file/560479601862 Output Mesh]
+
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560480465505 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_E_im.nrrd --delta 5 --cnf --weight-limit 0.04 --min-edge 1 --output ./CFF_E_im,d=5,wl=0.04,me=1.vtk
 +
</pre>
 +
 
 +
CFF_E_re: [https://odu.app.box.com/file/447003110701 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_E_re.nrrd --delta 5 --cnf --weight-limit 0.08 --min-edge 1 --output ./CFF_E_re,d=5,wl=0.08,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:CFF_E_re,d=5,wl=0.08,me=1.png
 +
</gallery>
 +
 
 +
Commands to generate meshes :
  
−
[[File:CFF_E_re,d=5,wl=0.08,me=1.png|500px|CFF_E_re,d=5,wl=0.08,me=1]]
+
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
  
−
CFF_H_im: [https://odu.app.box.com/file/446986172238 Input Image] [https://odu.app.box.com/file/560479304543 Output Mesh]
+
'''Adaptive :''' [https://odu.app.box.com/file/560479601862 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_E_re.nrrd --delta 5 --cnf --weight-limit 0.08 --min-edge 1 --output ./CFF_E_re,d=5,wl=0.08,me=1.vtk
 +
</pre>
 +
 
 +
CFF_H_im: [https://odu.app.box.com/file/446986172238 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_H_im.nrrd --delta 5 --cnf --weight-limit 0.06 --min-edge 1 --output ./CFF_H_im,d=5,wl=0.06,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:CFF_H_im,d=5,wl=0.06,me=1.png
 +
</gallery>
 +
 
 +
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
  
−
[[File:CFF_H_im,d=5,wl=0.06,me=1.png|500px|CFF_H_im,d=5,wl=0.06,me=1]]
+
'''Adaptive :''' [https://odu.app.box.com/file/560479304543 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_H_im.nrrd --delta 5 --cnf --weight-limit 0.06 --min-edge 1 --output ./CFF_H_im,d=5,wl=0.06,me=1.vtk
 +
</pre>
  
−
CFF_H_re: [https://odu.app.box.com/file/447002648008 Input Image] [https://odu.app.box.com/file/560474710634 Output Mesh]
+
CFF_H_re: [https://odu.app.box.com/file/447002648008 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_H_re.nrrd --delta 5 --cnf --weight-limit 0.13 --min-edge 1 --output ./CFF_H_re,d=5,wl=0.13,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:CFF_H_re,d=5,wl=0.13,me=1.png
 +
</gallery>
  
−
[[File:CFF_H_re,d=5,wl=0.13,me=1.png|500px|CFF_H_re,d=5,wl=0.13,me=1]]
+
Commands to generate meshes :
  
−
GPD_H_down: [https://odu.app.box.com/file/447005150002 Input Image] [https://odu.app.box.com/file/560460154195 Output Mesh]
+
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560474710634 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_H_re.nrrd --delta 5 --cnf --weight-limit 0.13 --min-edge 1 --output ./CFF_H_re,d=5,wl=0.13,me=1.vtk
 +
</pre>
 +
 
 +
GPD_H_down: [https://odu.app.box.com/file/447005150002 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/GPD_H_down.nrrd --delta 5 --cnf --weight-limit 0.1 --min-edge 1 --output ./GPD_H_down,d=5,wl=0.1,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:GPD_H_down,d=5,wl=0.1,me=1.png
 +
</gallery>
  
−
[[File:GPD_H_down,d=5,wl=0.1,me=1.png|500px|GPD_H_down,d=5,wl=0.1,me=1]]
+
Commands to generate meshes :
  
−
GPD_H_up: [https://odu.app.box.com/file/446986337826 Input Image] [https://odu.app.box.com/file/560467337847 Output Mesh]
+
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560460154195 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/GPD_H_down.nrrd --delta 5 --cnf --weight-limit 0.1 --min-edge 1 --output ./GPD_H_down,d=5,wl=0.1,me=1.vtk
 +
</pre>
 +
 
 +
GPD_H_up: [https://odu.app.box.com/file/446986337826 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/GPD_H_up.nrrd --delta 5 --cnf --weight-limit 0.1 --min-edge 1 --output ./GPD_H_up,d=5,wl=0.1,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:GPD_H_up,d=5,wl=0.1,me=1.png
 +
</gallery>
  
−
[[File:GPD_H_up,d=5,wl=0.1,me=1.png|500px|GPD_H_up,d=5,wl=0.1,me=1]]
+
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :'''[https://odu.app.box.com/file/560467337847 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/GPD_H_up.nrrd --delta 5 --cnf --weight-limit 0.1 --min-edge 1 --output ./GPD_H_up,d=5,wl=0.1,me=1.vtk
 +
</pre>
  
 
OBS_ALU: [https://odu.app.box.com/file/447605517863 Input Image]
 
OBS_ALU: [https://odu.app.box.com/file/447605517863 Input Image]
Line 287: Line 478:
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<gallery mode="packed" heights=300px>
+
<gallery mode="packed" heights=350px>
 
File:OBS_ALU,d=5,bg=0,wl=0.07,me=1.png
 
File:OBS_ALU,d=5,bg=0,wl=0.07,me=1.png
 
File:OBS_ALU,d=2,bg=0,uniform.png
 
File:OBS_ALU,d=2,bg=0,uniform.png
Line 305: Line 496:
  
 
==phase_space_000==
 
==phase_space_000==
−
phase_space_000: [https://odu.app.box.com/file/431638871277 Input Image] [https://odu.app.box.com/file/560471425013 Output Mesh]
+
phase_space_000: [https://odu.app.box.com/file/431638871277 Input Image]
 
* Input distribution size : 1,000,000 cells
 
* Input distribution size : 1,000,000 cells
 
* Uniform case:  tetrahedra
 
* Uniform case:  tetrahedra
 
* Adapted case:  tetrahedra
 
* Adapted case:  tetrahedra
  
−
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/phase_space_000/phase_space_000.nrrd --delta 1.5 --cnf --weight-limit 0.005 --min-edge 1 --output ./phase_space_000,d=1.5,wl=0.005,me=1.vtk</pre>
+
<gallery mode="packed" heights=350px>
 +
File:phase_space_000,d=1.5,wl=0.005,me=1.png
 +
</gallery>
  
−
[[File:phase_space_000,d=1.5,wl=0.005,me=1.png|500px|phase_space_000,d=1.5,wl=0.005,me=1]]
+
Commands to generate meshes :
 +
 
 +
'''Uniform :''' [ Output Mesh]
 +
<pre>
 +
</pre>
 +
 
 +
'''Adaptive :''' [https://odu.app.box.com/file/560471425013 Output Mesh]
 +
<pre>
 +
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/phase_space_000/phase_space_000.nrrd --delta 1.5 --cnf --weight-limit 0.005 --min-edge 1 --output ./phase_space_000,d=1.5,wl=0.005,me=1.vtk
 +
</pre>

Revision as of 17:45, 24 February 2020

2D Example Meshes

The directory containing the 2D input data is located here.

Synthetic Gaussian Data

  • Input distribution size : 1,000,000 cells
  • Uniform case: 30,949 triangles
  • Adapted case: 3,788 triangles
  • Gaussian me 10 uniform.png
  • Gaussian me 10 wl 1e-1 adapted.png

Commands to generate meshes :

Uniform : mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/Gaussian2.vtk  --output Gaussian_me_10_uniform.vtk --uniform --min-edge=10

Adaptive : mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/Gaussian2.vtk  --output Gaussian_me_10_wl_1e-1.vtk --weight-limit=0.05 --min-edge=10


GPDGK16Numerical_140519

The 2D case created by extracting a 2D slice at X=50 out of the 3D distribution (see 3D case below) GPDGK16Numerical_140519

  • Input distribution size : 10,000 cells
  • Uniform case: 7,587 triangles
  • Adapted (min_edge = 2) case: 623 triangles
  • Adapted (min_edge = 0.5) case: 1,409 triangles


  • GPDGK16Numerical 140519 X50 me2 uniform.png
  • GPDGK16Numerical 140519 X50 me2 wl 1e-1.png
  • GPDGK16Numerical 140519 X50 me0.5 wl 1e-1.png

Commands to generate meshes :

Uniform : mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/GPDGK16Numerical_140519_X50.vtk --output GPDGK16Numerical_140519_me_2_uniform.vtk --min-edge=2 --uniform

Adaptive :(min_edge = 2) mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/GPDGK16Numerical_140519_X50.vtk --output GPDGK16Numerical_140519_me_2_wl_1e-1.vtk --min-edge=2 --weight-limit=0.1


Adaptive :(min_edge = 0.5) mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/GPDGK16Numerical_140519_X50.vtk --output GPDGK16Numerical_140519_me_0.5_wl_1e-1.vtk --min-edge=0.5 --weight-limit=0.1

Note: By using min-edge less than 1 we are essentially generating triangles with an edge smaller than the input pixels. Using values much smaller than 1 is not expected to help the discretization since we are essentially packing more element into a pixel which has a constant value.

OBS_ALU_Y50

  • Input distribution size : 10,000 cells
  • Uniform case: 7,587 triangles
  • Adapted case: 1,018 triangles

The 2D case created by extracting a 2D slice at Y=50 out of the 3D distribution (see 3D case below) OBS_ALU


  • OBS ALU Y50 me 2 uniform.vtk.png
  • OBS ALU Y50 me 2 wl 1e-1.png

Commands to generate meshes :

Uniform : mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/OBS_ALU_Y50.vtk --output OBS_ALU_Y50_me_2_uniform.vtk --min-edge=2 --uniform

Adaptive : mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/OBS_ALU_Y50.vtk --output OBS_ALU_Y50_me_2_wl_1e-1.vtk --min-edge=2 --weight-limit=0.1

NT_140519

  • Input distribution size : 10,000 cells
  • Uniform case: 7,587 triangles
  • Adapted case: 1,038 triangles

The 2D case created by extracting a 2D slice at X=50 out of the 3D distribution (see 3D case below) NT_140519


  • NT 140519 X50 me2 uniform.png
  • NT 140519 X50 me2 me2 wl 1e-1.png

Commands to generate meshes :

Uniform : mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/NT_140519_50_X.vtk  --output NT_140519_X50_me_2_uniform.vtk --min-edge=2 --uniform

Adaptive : mesh file 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_SHARE/2d_wiki_examples/input/NT_140519_50_X.vtk  --output NT_140519_X50_me_2_wl_1e-1.vtk --min-edge=2 --weight-limit=0.1

3D Example Meshes

CFF_14052019

GPDGK16Numerical_140519: Input Image

  • Input distribution size : 1,000,000 cells
  • Uniform case: tetrahedra
  • Adapted case: tetrahedra
  • GPDGK16Numerical 140519,d=5,wl=0.1,me=1.png

Commands to generate meshes :

Uniform : [ Output Mesh] 



Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/GPDGK16Numerical_140519.nrrd --delta 5 --cnf --weight-limit 0.1 --min-edge 1 --output ./GPDGK16Numerical_140519,d=5,wl=0.1,me=1.vtk



GPDMMS13_140519: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    GPDMMS13 140519,d=5,wl=0.05,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/GPDMMS13_140519.nrrd --delta 5 --cnf --weight-limit 0.05 --min-edge 1 --output ./GPDMMS13_140519,d=5,wl=0.05,me=1.vtk



GPDVGG99_140519: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    GPDVGG99 140519,d=5,wl=0.05,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/GPDVGG99_140519.nrrd --delta 5 --cnf --weight-limit 0.05 --min-edge 1 --output ./GPDVGG99_140519,d=5,wl=0.05,me=1.vtk



NT_140519: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    NT 140519,d=5,wl=0.07,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/NT_140519.nrrd --delta 5 --cnf --weight-limit 0.07 --min-edge 1 --output ./NT_140519,d=5,wl=0.07,me=1.vtk



OBS_ALU_140519: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    OBS ALU 140519,d=5,wl=0.13,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/OBS_ALU_140519.nrrd --delta 5 --cnf --weight-limit 0.13 --min-edge 1 --output ./OBS_ALU_140519,d=5,wl=0.13,me=1.vtk



OBS_CS_140519: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    OBS CS 140519,d=5,wl=0.01,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_14052019/OBS_CS_140519.nrrd --delta 5 --cnf --weight-limit 0.01 --min-edge 1 --output ./OBS_CS_140519,d=5,wl=0.01,me=1.vtk



CFF_DATA


cff_E.data_IM: Input Image



  •  Input distribution size : 8,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    Cff E.data IM,d=10,wl=0.01,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_IM.nrrd --delta 5 --cnf --weight-limit 0.01 --min-edge 1 --output ./cff_E.data_IM,d=10,wl=0.01,me=1.vtk



cff_E.data_REAL: Input Image



  •  Input distribution size : 8,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    Cff E.data REAL,d=10,wl=0.1,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_E.data_REAL,d=10,wl=0.1,me=1.vtk



cff_H.data_IM: Input Image



  •  Input distribution size : 8,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    Cff H.data IM,d=10,wl=0.05,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_IM.nrrd --delta 10 --cnf --weight-limit 0.05 --min-edge 1 --output ./cff_H.data_IM,d=10,wl=0.05,me=1.vtk



cff_H.data_REAL: Input Image



  •  Input distribution size : 8,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    Cff H.data REAL,d=10,wl=0.1,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_H.data_REAL,d=10,wl=0.1,me=1.vtk



cff_Ht.data_IM: Input Image



  •  Input distribution size : 8,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    Cff Ht.data IM,d=10,wl=0.1,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_IM.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_Ht.data_IM,d=10,wl=0.1,me=1.vtk



cff_Ht.data_REAL: Input Image



  •  Input distribution size : 8,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    Cff Ht.data REAL,d=10,wl=0.1,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_REAL.nrrd --delta 10 --cnf --weight-limit 0.1 --min-edge 1 --output ./cff_Ht.data_REAL,d=10,wl=0.1,me=1.vtk



DATA_04252019


CFF_E_im: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    CFF E im,d=5,wl=0.04,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_E_im.nrrd --delta 5 --cnf --weight-limit 0.04 --min-edge 1 --output ./CFF_E_im,d=5,wl=0.04,me=1.vtk



CFF_E_re: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    CFF E re,d=5,wl=0.08,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_E_re.nrrd --delta 5 --cnf --weight-limit 0.08 --min-edge 1 --output ./CFF_E_re,d=5,wl=0.08,me=1.vtk



CFF_H_im: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    CFF H im,d=5,wl=0.06,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_H_im.nrrd --delta 5 --cnf --weight-limit 0.06 --min-edge 1 --output ./CFF_H_im,d=5,wl=0.06,me=1.vtk



CFF_H_re: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    CFF H re,d=5,wl=0.13,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/CFF_H_re.nrrd --delta 5 --cnf --weight-limit 0.13 --min-edge 1 --output ./CFF_H_re,d=5,wl=0.13,me=1.vtk



GPD_H_down: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    GPD H down,d=5,wl=0.1,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/GPD_H_down.nrrd --delta 5 --cnf --weight-limit 0.1 --min-edge 1 --output ./GPD_H_down,d=5,wl=0.1,me=1.vtk



GPD_H_up: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    GPD H up,d=5,wl=0.1,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive :Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/GPD_H_up.nrrd --delta 5 --cnf --weight-limit 0.1 --min-edge 1 --output ./GPD_H_up,d=5,wl=0.1,me=1.vtk



OBS_ALU: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    OBS ALU,d=5,bg=0,wl=0.07,me=1.png
    
			
    
			
    
		
    • 
		
  • 
			
    OBS ALU,d=2,bg=0,uniform.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/OBS_ALU.nrrd --delta 2 --image-segmentation --background-value 0 --linear-interpolation --output ./OBS_ALU,d=5,bg=0,uniform.vtk



Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/DATA_04252019/OBS_ALU.nrrd --delta 5 --cnf --background-value 0 --weight-limit 0.07 --min-edge 1 --output ./OBS_ALU,d=5,bg=0,wl=0.07,me=1.vtk



phase_space_000


phase_space_000: Input Image



  •  Input distribution size : 1,000,000 cells
    • 

  •  Uniform case:  tetrahedra
    • 

  •  Adapted case:  tetrahedra


    
		
  • 
			
    Phase space 000,d=1.5,wl=0.005,me=1.png
    
			
    
			
    
		
    • 



Commands to generate meshes :

Uniform : [ Output Mesh]





Adaptive : Output Mesh



docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_SHARE/phase_space_000/phase_space_000.nrrd --delta 1.5 --cnf --weight-limit 0.005 --min-edge 1 --output ./phase_space_000,d=1.5,wl=0.005,me=1.vtk






					

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