Revision as of 22:04, 24 February 2020 (view source) Spyridon97 (talk | contribs) (→‎Synthetic Gaussian Data) ← Older edit		Revision as of 22:10, 24 February 2020 (view source) Spyridon97 (talk | contribs) Newer edit →
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	'''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_SHARE/2d_wiki_examples/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/input/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_SHARE/2d_wiki_examples/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/input/Gaussian2.vtk  --output Gaussian_me_10_wl_1e-1.vtk --weight-limit=0.05 --min-edge=10
	</pre>		</pre>
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	'''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_SHARE/2d_wiki_examples/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/input/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_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	+	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
	</pre>		</pre>
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	'''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_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	+	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
	</pre>		</pre>
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	'''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_SHARE/2d_wiki_examples/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/input/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_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	+	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
	</pre>		</pre>
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	'''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_SHARE/2d_wiki_examples/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/input/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_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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560417595948 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560417595948 Output Mesh]
	<pre>		<pre>
−	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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560418993018 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560418993018 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560412156590 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560412156590 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560417456108 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560417456108 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560419803420 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560419803420 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560412481982 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560412481982 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560455612588 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560455612588 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560476079164 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560476079164 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560474153565 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560474153565 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560472812787 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560472812787 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560472245094 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560472245094 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560456410980 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560456410980 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560480465505 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560480465505 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
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	'''Adaptive :''' [https://odu.app.box.com/file/560479601862 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560479601862 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
Line 425:		Line 425:
	'''Adaptive :''' [https://odu.app.box.com/file/560479304543 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560479304543 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
Line 446:		Line 446:
	'''Adaptive :''' [https://odu.app.box.com/file/560474710634 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560474710634 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
Line 467:		Line 467:
	'''Adaptive :''' [https://odu.app.box.com/file/560460154195 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560460154195 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
Line 488:		Line 488:
	'''Adaptive :'''[https://odu.app.box.com/file/560467337847 Output Mesh]		'''Adaptive :'''[https://odu.app.box.com/file/560467337847 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>
Line 506:		Line 506:
	'''Uniform :''' [https://odu.app.box.com/file/560470121974 Output Mesh]		'''Uniform :''' [https://odu.app.box.com/file/560470121974 Output Mesh]
	<pre>		<pre>
−	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	+	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
	</pre>		</pre>
	'''Adaptive :''' [https://odu.app.box.com/file/560478677472 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560478677472 Output Mesh]
	<pre>		<pre>
−	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	+	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
	</pre>		</pre>
Line 533:		Line 533:
	'''Adaptive :''' [https://odu.app.box.com/file/560471425013 Output Mesh]		'''Adaptive :''' [https://odu.app.box.com/file/560471425013 Output Mesh]
	<pre>		<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	+	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
	</pre>		</pre>

---

Revision as of 22:10, 24 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

• 
• 

Commands to generate meshes :

Uniform : Output Mesh

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

Adaptive : Output Mesh

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

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_Data/2D/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_Data/2D/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_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

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_Data/2D/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_Data/2D/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_Data/2D/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_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

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 

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

• 
• 

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

• 

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