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| author | nunzip <np.scarh@gmail.com> | 2019-02-11 17:47:40 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2019-02-11 17:47:40 +0000 |
| commit | 2e0debec80591b4072f8912dd2cf84e9600741a9 (patch) | |
| tree | 7c747b32f0735ea45b57f6391b89fcbd95181d5d /report/paper.md | |
| parent | 7e6c629f22f99b5cb304d81034546e344230b1d0 (diff) | |
| parent | 586909e40569cd32f398d4360ba67876da10887f (diff) | |
| download | e4-vision-2e0debec80591b4072f8912dd2cf84e9600741a9.tar.gz e4-vision-2e0debec80591b4072f8912dd2cf84e9600741a9.tar.bz2 e4-vision-2e0debec80591b4072f8912dd2cf84e9600741a9.zip | |
Merge branch 'master' of skozl.com:e4-vision
Diffstat (limited to 'report/paper.md')
| -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 b9abff5..037d0df 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 |