Difference between revisions of "CNF Example Meshes"

From crtc.cs.odu.edu
Jump to: navigation, search
(→‎2D Example Meshes)
Line 16: Line 16:
 
'''Uniform :''' [https://odu.box.com/s/zw6s6ynmxezdlqoy80xukiiswbzs0up5 Output Mesh]
 
'''Uniform :''' [https://odu.box.com/s/zw6s6ynmxezdlqoy80xukiiswbzs0up5 Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/Gaussian2.vtk  --output Gaussian_me_10_uniform.vtk --uniform --min-edge=10
+
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/Gaussian2.vtk  --output Gaussian_me_10_uniform.vtk --uniform --min-edge=10
 
</pre>
 
</pre>
 
'''Adaptive :''' [https://odu.box.com/s/q5gbm3125mpobyw5lbx8sc8hp5ua2m39 Output Mesh]
 
'''Adaptive :''' [https://odu.box.com/s/q5gbm3125mpobyw5lbx8sc8hp5ua2m39 Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/Gaussian2.vtk  --output Gaussian_me_10_wl_1e-1.vtk --weight-limit=0.05 --min-edge=10
+
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
 
</pre>
 
</pre>
  
Line 42: Line 42:
 
'''Uniform :''' [https://odu.box.com/s/9jy98r335yv4g3vbaymy2yd0559wzp0d Output Mesh]
 
'''Uniform :''' [https://odu.box.com/s/9jy98r335yv4g3vbaymy2yd0559wzp0d Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/GPDGK16Numerical_140519_X50.vtk --output GPDGK16Numerical_140519_me_2_uniform.vtk --min-edge=2 --uniform
+
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
 
</pre>
 
</pre>
  
 
'''Adaptive :'''(min_edge = 2) [https://odu.box.com/s/sjjekwpdd48wqzhx96klnhca9t7ddeaz Output Mesh]
 
'''Adaptive :'''(min_edge = 2) [https://odu.box.com/s/sjjekwpdd48wqzhx96klnhca9t7ddeaz Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/GPDGK16Numerical_140519_X50.vtk --output GPDGK16Numerical_140519_me_2_wl_1e-1.vtk --min-edge=2 --weight-limit=0.1
+
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
 
</pre>
 
</pre>
  
Line 53: Line 53:
 
'''Adaptive :'''(min_edge = 0.5) [https://odu.box.com/s/ond4p65nevd7379cv7tnfn45cvjtet1c Output Mesh]
 
'''Adaptive :'''(min_edge = 0.5) [https://odu.box.com/s/ond4p65nevd7379cv7tnfn45cvjtet1c Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/GPDGK16Numerical_140519_X50.vtk --output GPDGK16Numerical_140519_me_0.5_wl_1e-1.vtk --min-edge=0.5 --weight-limit=0.1
+
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
 
</pre>
 
</pre>
  
Line 75: Line 75:
 
'''Uniform :''' [https://odu.box.com/s/5cx48gkm0828hfbdvzebj3h33rdmnkrs Output Mesh]
 
'''Uniform :''' [https://odu.box.com/s/5cx48gkm0828hfbdvzebj3h33rdmnkrs Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/OBS_ALU_Y50.vtk --output OBS_ALU_Y50_me_2_uniform.vtk --min-edge=2 --uniform
+
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
 
</pre>
 
</pre>
  
 
'''Adaptive :''' [https://odu.box.com/s/u818ep1rhlsk5r8e2m86923c6ertcdnv Output Mesh]
 
'''Adaptive :''' [https://odu.box.com/s/u818ep1rhlsk5r8e2m86923c6ertcdnv Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/OBS_ALU_Y50.vtk --output OBS_ALU_Y50_me_2_wl_1e-1.vtk --min-edge=2 --weight-limit=0.1
+
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
 
</pre>
 
</pre>
  
Line 100: Line 100:
 
'''Uniform :''' [https://odu.box.com/s/g6015fln7g1wsebynrxpejclhr1xctfc Output Mesh]
 
'''Uniform :''' [https://odu.box.com/s/g6015fln7g1wsebynrxpejclhr1xctfc Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/NT_140519_50_X.vtk  --output NT_140519_X50_me_2_uniform.vtk --min-edge=2 --uniform
+
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
 
</pre>
 
</pre>
  
 
'''Adaptive :''' [https://odu.box.com/s/2yx5yw20n5h85917hs4rogqqczkfo6uh Output Mesh]
 
'''Adaptive :''' [https://odu.box.com/s/2yx5yw20n5h85917hs4rogqqczkfo6uh Output Mesh]
 
<pre>
 
<pre>
−
docker run -v $(pwd):/data/ crtc_i2m tessellate2d  --input ./CNF_Data/2D/input/NT_140519_50_X.vtk  --output NT_140519_X50_me_2_wl_1e-1.vtk --min-edge=2 --weight-limit=0.1
+
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
 
</pre>
 
</pre>
  

Revision as of 14:33, 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.

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

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

3D Example Meshes

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

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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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 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_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






					

						Retrieved from "https://crtc.cs.odu.edu/index.php?title=CNF_Example_Meshes&oldid=4938"