Difference between revisions of "CNF Example Meshes"

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(→‎2D Example Meshes)
(→‎3D Example Meshes)
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==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 132: Line 131:
  
 
===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 153: Line 151:
 
   
 
   
 
===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 174: Line 171:
  
 
===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 195: Line 191:
  
 
===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 216: Line 211:
  
 
===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 238: Line 232:
 
==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 259: Line 252:
  
 
===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 280: Line 272:
  
 
===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 301: Line 292:
  
 
===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 322: Line 312:
  
 
===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 343: Line 332:
  
 
===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 365: Line 353:
 
==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 386: Line 373:
  
 
===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 407: Line 393:
  
 
===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 428: Line 413:
  
 
===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 449: Line 433:
  
 
===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 470: Line 453:
  
 
===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 491: Line 473:
  
 
===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 515: Line 496:
 
==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 14:48, 25 February 2020

2D Example Meshes

The directory containing the 2D input data is located in the 2D folder of CNF_Data.

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 : Output Mesh 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/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_Data/2D/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 : Output Mesh 

docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/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_Data/2D/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_Data/2D/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.

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 : Output Mesh 

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

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 : Output Mesh 

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

3D Example Meshes

The directory containing the 3D input data is located in the 3D folder of CNF_Data.

CFF_14052019

GPDGK16Numerical_140519

  • 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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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_Data/3D/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


    
		
  • 
			
    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_Data/3D/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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