Difference between revisions of "CNF Example Meshes"
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=2D Example Meshes= | =2D Example Meshes= | ||
== Synthetic Gaussian Data == | == Synthetic Gaussian Data == | ||
− | Input distribution size : 1,000,000 cells | + | * Input distribution size : 1,000,000 cells |
+ | * Uniform case: 30,949 triangles | ||
+ | * Adapted case: 3,788 triangles | ||
− | + | <gallery mode="packed" heights=300px> | |
− | |||
− | |||
− | |||
− | <gallery mode="packed" heights= | ||
File:Gaussian_me_10_uniform.png | File:Gaussian_me_10_uniform.png | ||
File:Gaussian me 10 wl 1e-1 adapted.png | File:Gaussian me 10 wl 1e-1 adapted.png |
Revision as of 20:18, 22 November 2019
Contents
2D Example Meshes
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 :
docker run -v $(pwd):/data/ cnf_tools tessellate2d --input 2D_CASES/input/Gaussian2.vtk --output 2D_CASES/output/Gaussian_me_10_uniform.vtk --uniform --min-edge=10
Adaptive :
docker run -v $(pwd):/data/ cnf_tools tessellate2d --input 2D_CASES/input/Gaussian2.vtk --output 2D_CASES/output/Gaussian_me_10_wl_1e-1.vtk --weight-limit=0.05 --min-edge=10
3D Example Meshes
CFF_14052019
GPDGK16Numerical_140519: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_14052019/GPDGK16Numerical_140519.nrrd --weight-limit 0.1 --min-edge 1 --output ./GPDGK16Numerical_140519,d=5,wl=0.1,me=1.vtk
GPDMMS13_140519: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_14052019/GPDMMS13_140519.nrrd --weight-limit 0.05 --min-edge 1 --output ./GPDMMS13_140519,d=5,wl=0.05,me=1.vtk
GPDVGG99_140519: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_14052019/GPDVGG99_140519.nrrd --weight-limit 0.05 --min-edge 1 --output ./GPDVGG99_140519,d=5,wl=0.05,me=1.vtk
NT_140519: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_14052019/NT_140519.nrrd --weight-limit 0.07 --min-edge 1 --output ./NT_140519,d=5,wl=0.07,me=1.vtk
OBS_ALU_140519: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_14052019/OBS_ALU_140519.nrrd --weight-limit 0.13 --min-edge 1 --output ./OBS_ALU_140519,d=5,wl=0.13,me=1.vtk
OBS_CS_140519: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_14052019/OBS_CS_140519.nrrd --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 Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_IM.nrrd --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 Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_DATA/cff_E.data_REAL.nrrd --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 Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_IM.nrrd --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 Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_DATA/cff_H.data_REAL.nrrd --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 Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_IM.nrrd --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 Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/CFF_DATA/cff_Ht.data_REAL.nrrd --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 Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/CFF_E_im.nrrd --weight-limit 0.04 --min-edge 1 --output ./CFF_E_im,d=5,wl=0.04,me=1.vtk
CFF_E_re: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/CFF_E_re.nrrd --weight-limit 0.08 --min-edge 1 --output ./CFF_E_re,d=5,wl=0.08,me=1.vtk
CFF_H_im: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/CFF_H_im.nrrd --weight-limit 0.06 --min-edge 1 --output ./CFF_H_im,d=5,wl=0.06,me=1.vtk
CFF_H_re: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/CFF_H_re.nrrd --weight-limit 0.13 --min-edge 1 --output ./CFF_H_re,d=5,wl=0.13,me=1.vtk
GPD_H_down: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/GPD_H_down.nrrd --weight-limit 0.1 --min-edge 1 --output ./GPD_H_down,d=5,wl=0.1,me=1.vtk
GPD_H_up: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/GPD_H_up.nrrd --weight-limit 0.1 --min-edge 1 --output ./GPD_H_up,d=5,wl=0.1,me=1.vtk
OBS_ALU: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/OBS_ALU.nrrd --background-value 0 --weight-limit 0.07 --min-edge 1 --output ./OBS_ALU,d=5,bg=0,wl=0.07,me=1.vtk
OBS_ALU: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/DATA_04252019/OBS_ALU.nrrd --delta 2 --background-value 0 --uniform --output ./OBS_ALU,d=5,bg=0,uniform.vtk
phase_space_000
phase_space_000: Input Image Output Mesh
docker run -v $(pwd):/data/ cnf_tools tessellate3d --input ./CNF_SHARE/phase_space_000/phase_space_000.nrrd --delta 1.5 --weight-limit 0.005 --min-edge 1 --output ./phase_space_000,d=1.5,wl=0.005,me=1.vtk