Difference between revisions of "CNF Example Meshes"
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Spyridon97 (talk | contribs) (→2D Example Meshes) |
Spyridon97 (talk | contribs) (→3D Example Meshes) |
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=3D Example Meshes= | =3D Example Meshes= | ||
==CFF_14052019== | ==CFF_14052019== | ||
| − | GPDGK16Numerical_140519 | + | ===GPDGK16Numerical_140519=== |
| + | [https://odu.app.box.com/file/457595295061 Input Image] | ||
* Input distribution size : 1,000,000 cells | * Input distribution size : 1,000,000 cells | ||
* Uniform case: tetrahedra | * Uniform case: tetrahedra | ||
| Line 131: | Line 132: | ||
</pre> | </pre> | ||
| − | GPDMMS13_140519 | + | ===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 | ||
| Line 151: | Line 153: | ||
</pre> | </pre> | ||
| − | GPDVGG99_140519 | + | ===GPDVGG99_140519=== |
| + | [https://odu.app.box.com/file/457597862395 Input Image] | ||
* Input distribution size : 1,000,000 cells | * Input distribution size : 1,000,000 cells | ||
* Uniform case: tetrahedra | * Uniform case: tetrahedra | ||
| Line 171: | Line 174: | ||
</pre> | </pre> | ||
| − | NT_140519 | + | ===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 | ||
| Line 191: | Line 195: | ||
</pre> | </pre> | ||
| − | OBS_ALU_140519 | + | ===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 | ||
| Line 211: | Line 216: | ||
</pre> | </pre> | ||
| − | OBS_CS_140519 | + | ===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 | ||
| Line 232: | Line 238: | ||
==CFF_DATA== | ==CFF_DATA== | ||
| − | cff_E.data_IM | + | ===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 | ||
| Line 252: | Line 259: | ||
</pre> | </pre> | ||
| − | cff_E.data_REAL | + | ===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 | ||
| Line 272: | Line 280: | ||
</pre> | </pre> | ||
| − | cff_H.data_IM | + | ===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 | ||
| Line 292: | Line 301: | ||
</pre> | </pre> | ||
| − | cff_H.data_REAL | + | ===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 | ||
| Line 312: | Line 322: | ||
</pre> | </pre> | ||
| − | cff_Ht.data_IM | + | ===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 | ||
| Line 332: | Line 343: | ||
</pre> | </pre> | ||
| − | cff_Ht.data_REAL | + | ===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 | ||
| Line 353: | Line 365: | ||
==DATA_04252019== | ==DATA_04252019== | ||
| − | CFF_E_im | + | ===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 | ||
| Line 373: | Line 386: | ||
</pre> | </pre> | ||
| − | CFF_E_re | + | ===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 | ||
| Line 393: | Line 407: | ||
</pre> | </pre> | ||
| − | CFF_H_im | + | ===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 | ||
| Line 413: | Line 428: | ||
</pre> | </pre> | ||
| − | CFF_H_re | + | ===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 | ||
| Line 433: | Line 449: | ||
</pre> | </pre> | ||
| − | GPD_H_down | + | ===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 | ||
| Line 453: | Line 470: | ||
</pre> | </pre> | ||
| − | GPD_H_up | + | ===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 | ||
| Line 473: | Line 491: | ||
</pre> | </pre> | ||
| − | OBS_ALU | + | ===OBS_ALU=== |
| + | [https://odu.app.box.com/file/447605517863 Input Image] | ||
* Input distribution size : 1,000,000 cells | * Input distribution size : 1,000,000 cells | ||
* Uniform case: tetrahedra | * Uniform case: tetrahedra | ||
| Line 496: | Line 515: | ||
==phase_space_000== | ==phase_space_000== | ||
| − | phase_space_000 | + | ===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 | ||
Revision as of 21:57, 24 February 2020
Contents
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
Commands to generate meshes :
Uniform : Output Mesh
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 : Output Mesh
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
Commands to generate meshes :
Uniform : Output Mesh
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) Output Mesh
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) Output Mesh
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
Commands to generate meshes :
Uniform : Output Mesh
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 : Output Mesh
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
Commands to generate meshes :
Uniform : Output Mesh
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 : Output Mesh
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 8,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 8,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 8,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 8,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 8,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 8,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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 distribution size : 1,000,000 cells
- Uniform case: tetrahedra
- Adapted case: tetrahedra
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
