source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/image3dstiching/Batch/ModelLaserImg.sh @ 37

Last change on this file since 37 was 37, checked in by (none), 14 years ago

Added original make3d

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1# *  This code was used in the following articles:
2# *  [1] Learning 3-D Scene Structure from a Single Still Image,
3# *      Ashutosh Saxena, Min Sun, Andrew Y. Ng,
4# *      In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
5# *      (best paper)
6# *  [2] 3-D Reconstruction from Sparse Views using Monocular Vision,
7# *      Ashutosh Saxena, Min Sun, Andrew Y. Ng,
8# *      In ICCV workshop on Virtual Representations and Modeling
9# *      of Large-scale environments (VRML), 2007.
10# *  [3] 3-D Depth Reconstruction from a Single Still Image,
11# *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
12# *      International Journal of Computer Vision (IJCV), Aug 2007.
13# *  [6] Learning Depth from Single Monocular Images,
14# *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
15# *      In Neural Information Processing Systems (NIPS) 18, 2005.
16# *
17# *  These articles are available at:
18# *  http://make3d.stanford.edu/publications
19# *
20# *  We request that you cite the papers [1], [3] and [6] in any of
21# *  your reports that uses this code.
22# *  Further, if you use the code in image3dstiching/ (multiple image version),
23# *  then please cite [2].
24# * 
25# *  If you use the code in third_party/, then PLEASE CITE and follow the
26# *  LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
27# *
28# *  Finally, this code is for non-commercial use only.  For further
29# *  information and to obtain a copy of the license, see
30# *
31# *  http://make3d.stanford.edu/publications/code
32# *
33# *  Also, the software distributed under the License is distributed on an
34# * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
35# *  express or implied.   See the License for the specific language governing
36# *  permissions and limitations under the License.
37# *
38# */
39
40#!/bin/bash
41
42# Change to the submission directory
43cd $PBS_O_WORKDIR
44
45# Run the m-file
46matlab -nojvm -nodisplay > Model.out << EOF
47
48% Run your MATLAB commands inlin
49cd ..
50image3dstichingSetPath
51Fdir ='/afs/cs/group/reconstruction3d/scratch/TestMultipleImage/ImgWithLaserData';
52WlrName = 'TestLaserImg'
53PairList = [];
54
55%        PairList = [ PairList; {'img-manmade2-p-169t0','img-manmade6-p-107t0'}];
56       % PairList = [ PairList; {'img-manmade2-p-169t0','img-manmade7-p-343t0'}];
57      %  PairList = [ PairList; {'img-manmade2-p-169t0','img-manmade5-p-282t0'}];
58     %   PairList = [ PairList; {'img-manmade2-p-169t0','img-manmade5-p-282t0'}];
59    %    PairList = [ PairList; {'img-manmade6-p-107t0','img-manmade7-p-313t0'}];
60    %    PairList = [ PairList; {'img-manmade6-p-107t0','img-manmade7-p-313t0'}];
61        PairList = [ PairList; {'img-manmade6-p-107t0','img-manmade7-p-343t0'}];
62       % PairList = [ PairList; {'img-manmade7-p-313t0','img-manmade7-p-343t0'}];
63FlagSetup;
64%Flag.NewInput = 0;
65%Flag.FlagDisp = 0;
66%Flag.PoseMatches = 1;
67%Flag.ReInference = 0;
68%Flag.PoseMatchStor = 1;
69%Flag.FindOcclu = 1;
70%Flag.NewModelList = 1; % if 0 used the prestoraged tri-angulation data
71%Flag.FlagFirstPair = Flag.NewModelList;
72
73tic;
74main( Fdir, PairList, WlrName, 1, Flag);
75toc;
76
77cd Batch/;
78
79% Exit MATLAB
80exit
81EOF
82
83# Display the output
84cat Model.out
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