FaceProperty Script - Revision history

Mrasquin at 18:14, 9 August 2013

2013-08-09T18:14:31Z

Mrasquin at 17:48, 9 August 2013

2013-08-09T17:48:46Z

Mrasquin at 17:48, 9 August 2013

2013-08-09T17:48:32Z

Mrasquin at 17:48, 9 August 2013

2013-08-09T17:48:04Z

Mrasquin at 17:39, 9 August 2013

2013-08-09T17:39:18Z

Mrasquin at 17:37, 9 August 2013

2013-08-09T17:37:03Z

Mrasquin at 17:34, 9 August 2013

2013-08-09T17:34:39Z

Jema6380 at 20:13, 20 July 2013

2013-07-20T20:13:14Z

Jema6380 at 20:06, 20 July 2013

2013-07-20T20:06:40Z

Jema6380 at 20:05, 20 July 2013

2013-07-20T20:05:21Z

@@ Line 10: / Line 10: @@
    ln -s /users/mrasquin/myUsefulScripts/FaceProperty/runMatchFaceID.sh .
-This bash script will call successively a matlab script and a ruby script saved in the same directory. If you plan to modify these scripts for your own needs, please use git to download a copy of this directory with the following command and let Michel know about it:
+If you plan to modify these scripts for your own needs, please use git to download a copy of this directory with the following command and let Michel know about your change:
    git clone git@github.com:mrasquin/myUsefulScripts.git
@@ Line 16: / Line 16: @@
    ./runMatchFaceID.sh OldGeometricModel NewGeometricModel OldBLattr.inp
-* Notice that this bash script runs first a FaceProperty program that will construct a list of properties for each face of your old and new geometric model. These face properties are saved by default in FacePropFile*.dat. It can take a few minutes to generate these files.
+* The FaceProperty program is first called and  will construct a list of properties for each face of your old and new geometric model. These face properties are saved by default in FacePropFile*.dat. It can take a few minutes to generate these files.
-* Then, it runs a matlab script but doesn't open the matlab GUI. The statement /opt/matlab/R2013a/bin/matlab may need to be changed if the matlab is updated to a new version in the future - keep this in mind. This matlab script compares the minimum and maximum x,y,z coordinates of all vertices (6 pieces of information) for each face and will call faces a "match" if all 6 agree within a certain tolerance. There is a variable called "tol", which is currently set to 5e-5. Feel free to play around with this number, but 1e-5 has worked the best so far. The output of this matlab script is MatchFaceID.dat. This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The left column lists faces from the old model, and the right column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes in the recycled BLattr.inp file produced by the ruby script described below.
+* Then, the bash script runs a matlab script but doesn't open the matlab GUI. The statement /opt/matlab/R2013a/bin/matlab may need to be changed if the matlab is updated to a new version in the future - keep this in mind. This matlab script compares the minimum and maximum x,y,z coordinates of all vertices (6 pieces of information) for each face and will call faces a "match" if all 6 agree within a certain tolerance. There is a variable called "tol", which is currently set to 5e-5. Feel free to play around with this number, but 1e-5 has worked the best so far. The output of this matlab script is MatchFaceID.dat. This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The left column lists faces from the old model, and the right column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes in the recycled BLattr.inp file produced by the ruby script described below.
-*Finally, it runs a ruby script that produces the "output" file. This files contains your new BLattr.inp and it has all the same attributes as the old BLattr.inp.  All it did was replace the old face ID's with new matching face ID's. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line and will need to be fixed manually.
+*Finally, the bash runs a ruby script that produces the "output" file. This files contains your new BLattr.inp and it has all the same attributes as the old BLattr.inp.  All it did was replace the old face ID's with new matching face ID's. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line and will need to be fixed manually.

@@ Line 19: / Line 19: @@
 * Notice that this bash script runs first a FaceProperty program that will construct a list of properties for each face of your old and new geometric model. These face properties are saved by default in FacePropFile*.dat. It can take a few minutes to generate these files.
-* Then, it runs a matlab script but doesn't open the matlab GUI. The statement /opt/matlab/R2013a/bin/matlab may need to be changed if the matlab is updated to a new version in the future - keep this in mind. This matlab script compares the minimum and maximum x,y,z coordinates of all vertices (6 pieces of information) for each face and will call faces a "match" if all 6 agree within a certain tolerance. There is a variable called "tol", which is currently set to 5e-5. Feel free to play around with this number, but 1e-5 has worked the best so far.
+* Then, it runs a matlab script but doesn't open the matlab GUI. The statement /opt/matlab/R2013a/bin/matlab may need to be changed if the matlab is updated to a new version in the future - keep this in mind. This matlab script compares the minimum and maximum x,y,z coordinates of all vertices (6 pieces of information) for each face and will call faces a "match" if all 6 agree within a certain tolerance. There is a variable called "tol", which is currently set to 5e-5. Feel free to play around with this number, but 1e-5 has worked the best so far. The output of this matlab script is MatchFaceID.dat. This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The left column lists faces from the old model, and the right column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes in the recycled BLattr.inp file produced by the ruby script described below.
 *Finally, it runs a ruby script that produces the "output" file. This files contains your new BLattr.inp and it has all the same attributes as the old BLattr.inp.  All it did was replace the old face ID's with new matching face ID's. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line and will need to be fixed manually.

@@ Line 20: / Line 20: @@
 * Then, it runs a matlab script but doesn't open the matlab GUI. The statement /opt/matlab/R2013a/bin/matlab may need to be changed if the matlab is updated to a new version in the future - keep this in mind. This matlab script compares the minimum and maximum x,y,z coordinates of all vertices (6 pieces of information) for each face and will call faces a "match" if all 6 agree within a certain tolerance. There is a variable called "tol", which is currently set to 5e-5. Feel free to play around with this number, but 1e-5 has worked the best so far.
 The output of this matlab script is MatchFaceID.dat. This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The left column lists faces from the old model, and the right column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes in the recycled BLattr.inp file produced by the ruby script described below.
 *Finally, it runs a ruby script that produces the "output" file. This files contains your new BLattr.inp and it has all the same attributes as the old BLattr.inp.  All it did was replace the old face ID's with new matching face ID's. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line and will need to be fixed manually.

@@ Line 5: / Line 5: @@
 *You need in this directory (i) a copy or a link to the old geometric model, (ii) a copy or a link to the new geometric model (required anyway for BLMesher), and a copy or a link to the old BLattr.inp associated with the old geometric model that you want to recycle.
-Note that it is possible that your parasolid model cannot be read properly if it was exported from SpaceClaim. If this happens, you can try open it and save it from ThreeDViewer (see softenv).
+Note that it is possible that your parasolid model cannot be read properly by Simmetrix if it was exported from SpaceClaim. If this happens, you can try open it and save it again from ThreeDViewer (see softenv).
 *link the following file to the same working directory:
@@ Line 13: / Line 13: @@
    git clone git@github.com:mrasquin/myUsefulScripts.git
-Notice that this script runs a matlab file but doesn't open the matlab GUI. The statement /opt/matlab/R2013a/bin/matlab may need to be changed if the matlab is updated to a new version in the future - keep this in mind. This matlab script compares the minimum and maximum x,y,z coordinates of all vertices (6 pieces of information) for each face and will call faces a "match" if all 6 agree within a certain tolerance. There is a variable called "tol", which is currently set to 5e-5. Feel free to play around with this number, but 1e-5 has worked the best so far.
+* Notice that this bash script runs first a FaceProperty program that will construct a list of properties for each face of your old and new geometric model. These face properties are saved by default in FacePropFile*.dat. It can take a few minutes to generate these files.
-It will take about a minute to generate the files "output" and "MatchFaceID.dat". "output" contains your new BLattr.inp, and it has all the same attributes as the old BLattr.inp - all it did was replace the old face ID's with new matching face ID's. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line.
+The output of this matlab script is MatchFaceID.dat. This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The left column lists faces from the old model, and the right column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes in the recycled BLattr.inp file produced by the ruby script described below.
-*Open the file MatchFaceID.dat
+*Finally, it runs a ruby script that produces the "output" file. This files contains your new BLattr.inp and it has all the same attributes as the old BLattr.inp.  All it did was replace the old face ID's with new matching face ID's. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line and will need to be fixed manually.

@@ Line 8: / Line 8: @@
 *link the following file to the same working directory:
-ln -s /users/mrasquin/myUsefulScripts/FaceProperty/runMatchFaceID.sh .
+  ln -s /users/mrasquin/myUsefulScripts/FaceProperty/runMatchFaceID.sh .
 * Run the following command:

@@ Line 3: / Line 3: @@
 *connect to either viz001 or viz002
 *cd to the working directory where your are planning to use BLMesher.
-*You need in this directory (i) the copy or a link to the old geometric model, (ii) a copy or a link to the new geometric model (required anyway for BLMesher), and a copy or a link to the old BLattr.inp associated with the old geometric model that you want to recycle.
+*You need in this directory (i) a copy or a link to the old geometric model, (ii) a copy or a link to the new geometric model (required anyway for BLMesher), and a copy or a link to the old BLattr.inp associated with the old geometric model that you want to recycle.
 Note that it is possible that your parasolid model cannot be read properly if it was exported from SpaceClaim. If this happens, you can try open it and save it from ThreeDViewer (see softenv).
 *link the following file to the same working directory:

@@ Line 26: / Line 26: @@
   ./runMatchFaceID.sh geom2_old.xmt_txt geom2_new.xmt_txt BLattr.inp
-It will take about a minute to generate the files "output" and "MatchFaceID.dat". "output" contains your new BLattr.inp. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line.
+It will take about a minute to generate the files "output" and "MatchFaceID.dat". "output" contains your new BLattr.inp, and it has all the same attributes as the old BLattr.inp - all it did was replace the old face ID's with new matching face ID's. In "output", every new face that was uniquely matched to the old model has a comment saying "#corrected" after the line. Every face that either was not matched at all or had multiple matches says "#Match not found" after the line.
 *Open the file MatchFaceID.dat
 This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The left column lists faces from the old model, and the right column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes.

← Older revision		Revision as of 20:06, 20 July 2013
Line 29:		Line 29:

	*Open the file MatchFaceID.dat		*Open the file MatchFaceID.dat
−	This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The ~~first~~ column lists faces from the old model, and the ~~second~~ column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes.	+	This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The left column lists faces from the old model, and the right column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes.

← Older revision		Revision as of 20:05, 20 July 2013
Line 29:		Line 29:

	*Open the file MatchFaceID.dat		*Open the file MatchFaceID.dat
−	This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes.	+	This will tell you in detail which faces were matched, which faces were not uniquely matched (i.e. had duplicate matches), and which faces had no match at all. The first column lists faces from the old model, and the second column lists the corresponding match from the new model. You need to pay attention to the faces that had duplicates or were not matched at all and manually give these faces attributes.