[37] | 1 | # * This code was used in the following articles: |
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| 2 | # * [1] Learning 3-D Scene Structure from a Single Still Image, |
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| 3 | # * Ashutosh Saxena, Min Sun, Andrew Y. Ng, |
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| 4 | # * In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007. |
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| 5 | # * (best paper) |
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| 6 | # * [2] 3-D Reconstruction from Sparse Views using Monocular Vision, |
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| 7 | # * Ashutosh Saxena, Min Sun, Andrew Y. Ng, |
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| 8 | # * In ICCV workshop on Virtual Representations and Modeling |
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| 9 | # * of Large-scale environments (VRML), 2007. |
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| 10 | # * [3] 3-D Depth Reconstruction from a Single Still Image, |
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| 11 | # * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. |
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| 12 | # * International Journal of Computer Vision (IJCV), Aug 2007. |
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| 13 | # * [6] Learning Depth from Single Monocular Images, |
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| 14 | # * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. |
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| 15 | # * In Neural Information Processing Systems (NIPS) 18, 2005. |
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| 16 | # * |
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| 17 | # * These articles are available at: |
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| 18 | # * http://make3d.stanford.edu/publications |
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| 19 | # * |
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| 20 | # * We request that you cite the papers [1], [3] and [6] in any of |
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| 21 | # * your reports that uses this code. |
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| 22 | # * Further, if you use the code in image3dstiching/ (multiple image version), |
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| 23 | # * then please cite [2]. |
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| 24 | # * |
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| 25 | # * If you use the code in third_party/, then PLEASE CITE and follow the |
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| 26 | # * LICENSE OF THE CORRESPONDING THIRD PARTY CODE. |
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| 27 | # * |
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| 28 | # * Finally, this code is for non-commercial use only. For further |
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| 29 | # * information and to obtain a copy of the license, see |
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| 30 | # * |
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| 31 | # * http://make3d.stanford.edu/publications/code |
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| 32 | # * |
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| 33 | # * Also, the software distributed under the License is distributed on an |
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| 34 | # * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either |
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| 35 | # * express or implied. See the License for the specific language governing |
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| 36 | # * permissions and limitations under the License. |
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| 37 | # * |
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| 38 | # */ |
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| 39 | |
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| 40 | #!/bin/bash |
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| 41 | |
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| 42 | # Change to the submission directory |
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| 43 | cd $PBS_O_WORKDIR |
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| 44 | |
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| 45 | # Run the m-file |
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| 46 | matlab -nojvm -nodisplay > CleanMatches.out << EOF |
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| 47 | |
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| 48 | % Run your MATLAB commands inlin |
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| 49 | cd .. |
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| 50 | if false |
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| 51 | k = 1; |
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| 52 | PairList = []; |
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| 53 | for i = 1:5%length(ImgInfo) |
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| 54 | for j = (i+1):length(ImgInfo) |
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| 55 | PairList{k,1} = strrep(ImgInfo(i).ExifInfo.name, '.jpg', ''); |
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| 56 | PairList{k,2} = strrep(ImgInfo(j).ExifInfo.name, '.jpg', ''); |
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| 57 | k = k + 1; |
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| 58 | end |
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| 59 | end |
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| 60 | else |
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| 61 | if false |
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| 62 | PairList = [ PairList; {'IMG_0664','IMG_0668'}]; |
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| 63 | PairList = [ PairList; {'IMG_0668','IMG_0674'}]; |
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| 64 | PairList = [ PairList; {'IMG_0674','IMG_0676'}]; |
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| 65 | PairList = [ PairList; {'IMG_0676','IMG_0677'}]; |
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| 66 | PairList = [ PairList; {'IMG_0677','IMG_0678'}]; |
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| 67 | |
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| 68 | % inlcude all posible pairs |
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| 69 | PairList = [ PairList; {'IMG_0663','IMG_0665'}]; |
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| 70 | PairList = [ PairList; {'IMG_0663','IMG_0667'}]; |
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| 71 | PairList = [ PairList; {'IMG_0663','IMG_0669'}]; |
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| 72 | PairList = [ PairList; {'IMG_0663','IMG_0670'}]; |
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| 73 | PairList = [ PairList; {'IMG_0663','IMG_0671'}]; |
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| 74 | |
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| 75 | PairList = [ PairList; {'IMG_0664','IMG_0665'}]; |
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| 76 | PairList = [ PairList; {'IMG_0664','IMG_0666'}]; |
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| 77 | PairList = [ PairList; {'IMG_0664','IMG_0674'}]; |
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| 78 | PairList = [ PairList; {'IMG_0664','IMG_0675'}]; |
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| 79 | PairList = [ PairList; {'IMG_0664','IMG_0678'}]; |
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| 80 | |
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| 81 | PairList = [ PairList; {'IMG_0665','IMG_0667'}]; |
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| 82 | PairList = [ PairList; {'IMG_0665','IMG_0667'}]; |
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| 83 | PairList = [ PairList; {'IMG_0665','IMG_0671'}]; |
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| 84 | PairList = [ PairList; {'IMG_0665','IMG_0677'}]; |
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| 85 | PairList = [ PairList; {'IMG_0665','IMG_0679'}]; |
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| 86 | |
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| 87 | PairList = [ PairList; {'IMG_0666','IMG_0667'}]; |
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| 88 | PairList = [ PairList; {'IMG_0666','IMG_0668'}]; |
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| 89 | PairList = [ PairList; {'IMG_0666','IMG_0671'}]; |
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| 90 | PairList = [ PairList; {'IMG_0666','IMG_0677'}]; |
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| 91 | PairList = [ PairList; {'IMG_0666','IMG_0674'}]; |
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| 92 | end |
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| 93 | %----------------- |
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| 94 | if false |
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| 95 | PairList = [ PairList; {'IMG_0667','IMG_0670'}]; |
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| 96 | PairList = [ PairList; {'IMG_0667','IMG_0673'}]; |
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| 97 | PairList = [ PairList; {'IMG_0667','IMG_0674'}]; |
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| 98 | PairList = [ PairList; {'IMG_0667','IMG_0677'}]; |
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| 99 | PairList = [ PairList; {'IMG_0667','IMG_0678'}]; |
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| 100 | |
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| 101 | PairList = [ PairList; {'IMG_0668','IMG_0670'}]; |
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| 102 | PairList = [ PairList; {'IMG_0668','IMG_0673'}]; |
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| 103 | PairList = [ PairList; {'IMG_0668','IMG_0674'}]; |
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| 104 | PairList = [ PairList; {'IMG_0668','IMG_0677'}]; |
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| 105 | PairList = [ PairList; {'IMG_0668','IMG_0678'}]; |
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| 106 | |
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| 107 | PairList = [ PairList; {'IMG_0669','IMG_0670'}]; |
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| 108 | PairList = [ PairList; {'IMG_0669','IMG_0671'}]; |
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| 109 | PairList = [ PairList; {'IMG_0669','IMG_0673'}]; |
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| 110 | |
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| 111 | PairList = [ PairList; {'IMG_0670','IMG_0673'}]; |
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| 112 | PairList = [ PairList; {'IMG_0670','IMG_0674'}]; |
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| 113 | PairList = [ PairList; {'IMG_0670','IMG_0683'}]; |
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| 114 | PairList = [ PairList; {'IMG_0670','IMG_0684'}]; |
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| 115 | |
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| 116 | PairList = [ PairList; {'IMG_0671','IMG_0673'}]; |
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| 117 | PairList = [ PairList; {'IMG_0671','IMG_0674'}]; |
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| 118 | PairList = [ PairList; {'IMG_0671','IMG_0683'}]; |
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| 119 | PairList = [ PairList; {'IMG_0671','IMG_0684'}]; |
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| 120 | |
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| 121 | PairList = [ PairList; {'IMG_0673','IMG_0674'}]; |
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| 122 | PairList = [ PairList; {'IMG_0673','IMG_0683'}]; |
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| 123 | PairList = [ PairList; {'IMG_0673','IMG_0684'}]; |
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| 124 | end |
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| 125 | %---------------------- |
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| 126 | if true |
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| 127 | PairList = [ PairList; {'IMG_0674','IMG_0676'}]; |
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| 128 | PairList = [ PairList; {'IMG_0674','IMG_0677'}]; |
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| 129 | PairList = [ PairList; {'IMG_0674','IMG_0678'}]; |
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| 130 | PairList = [ PairList; {'IMG_0674','IMG_0679'}]; |
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| 131 | |
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| 132 | PairList = [ PairList; {'IMG_0675','IMG_0678'}]; |
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| 133 | PairList = [ PairList; {'IMG_0675','IMG_0677'}]; |
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| 134 | PairList = [ PairList; {'IMG_0675','IMG_0678'}]; |
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| 135 | PairList = [ PairList; {'IMG_0675','IMG_0679'}]; |
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| 136 | |
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| 137 | PairList = [ PairList; {'IMG_0676','IMG_0677'}]; |
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| 138 | |
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| 139 | PairList = [ PairList; {'IMG_0677','IMG_0678'}]; |
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| 140 | PairList = [ PairList; {'IMG_0677','IMG_0679'}]; |
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| 141 | |
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| 142 | PairList = [ PairList; {'IMG_0678','IMG_0679'}]; |
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| 143 | PairList = [ PairList; {'IMG_0678','IMG_0680'}]; |
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| 144 | PairList = [ PairList; {'IMG_0678','IMG_0681'}]; |
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| 145 | |
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| 146 | PairList = [ PairList; {'IMG_0679','IMG_0680'}]; |
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| 147 | PairList = [ PairList; {'IMG_0679','IMG_0681'}]; |
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| 148 | PairList = [ PairList; {'IMG_0679','IMG_0682'}]; |
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| 149 | |
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| 150 | PairList = [ PairList; {'IMG_0683','IMG_0684'}]; |
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| 151 | end |
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| 152 | end |
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| 153 | EvaluateMatchesTracks |
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| 154 | cd Batch/; |
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| 155 | |
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| 156 | % Exit MATLAB |
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| 157 | exit |
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| 158 | EOF |
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| 159 | |
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| 160 | # Display the output |
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| 161 | cat CleanMatches.out |
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