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-rw-r--r--report/paper.md4
1 files changed, 3 insertions, 1 deletions
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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