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| author | Vasil Zlatanov <v@skozl.com> | 2019-02-08 16:04:52 +0000 |
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| committer | Vasil Zlatanov <v@skozl.com> | 2019-02-08 16:04:52 +0000 |
| commit | 3253907ad6f8b15ff921c4c8e5a2ccb9c37c1c12 (patch) | |
| tree | 4b9b385390b88c4b04e68d333770fe54d97a1410 | |
| parent | 252762395f9b6d5ef5d8083b38e7ce7119e21e96 (diff) | |
| download | e4-vision-3253907ad6f8b15ff921c4c8e5a2ccb9c37c1c12.tar.gz e4-vision-3253907ad6f8b15ff921c4c8e5a2ccb9c37c1c12.tar.bz2 e4-vision-3253907ad6f8b15ff921c4c8e5a2ccb9c37c1c12.zip | |
Use codeblocks
| -rw-r--r-- | report/paper.md | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/report/paper.md b/report/paper.md index 45d7eb2..8e821df 100644 --- a/report/paper.md +++ b/report/paper.md @@ -2,7 +2,9 @@ We randomly select 100k descriptors for K-means clustering for building the visual vocabulary (due to memory issue). Open the main_guideline.m and select/load the dataset. ->> [data_train, data_test] = getData('Caltech'); % Select dataset +``` +[data_train, data_test] = getData('Caltech'); +``` Set 'showImg = 0' in getData.m if you want to stop displaying training and testing images. Complete getData.m by writing your own lines of code to obtain the visual vocabulary and the bag-of-words histograms for both training and testing data. Show, measure and |