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| author | nunzip <np.scarh@gmail.com> | 2018-12-13 21:28:36 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2018-12-13 21:28:36 +0000 |
| commit | 2feec00db780914924e751ce0824b5701f1ad744 (patch) | |
| tree | dd8684b17501b1321e71ae143a428f8677dfa327 | |
| parent | ee670ce4ae832b7c63ade15ddd75294d11855807 (diff) | |
| download | vz215_np1915-2feec00db780914924e751ce0824b5701f1ad744.tar.gz vz215_np1915-2feec00db780914924e751ce0824b5701f1ad744.tar.bz2 vz215_np1915-2feec00db780914924e751ce0824b5701f1ad744.zip | |
Grammar fix
| -rw-r--r-- | README.md | 8 |
1 files changed, 4 insertions, 4 deletions
@@ -69,19 +69,19 @@ optional arguments: `evaluate.py -r -a 11 -b 3 -l 0.3` -**EXAMPLE 1.7**: Run on the training set with euclidean distance and normalize feature vectors. Draw confusion matrix at the end. +**EXAMPLE 1.7**: Run on the training set with euclidean distance and normalize feature vectors. Draw confusion matrix at the end `evaluate.py -t -1 -c` -**EXAMPLE 1.8**: Run euclidean distance standardising the feature data for the first 10 values of top n and graph them. +**EXAMPLE 1.8**: Run euclidean distance standardising the feature data for the first 10 values of top n and graph them `evaluate.py -2 -M 10` -**EXAMPLE 1.9**: Run for rerank top 10 and save the names of the images that compose the ranklist for the first 5 queries: query.txt, ranklist.txt. +**EXAMPLE 1.9**: Run for rerank top 10 and save the names of the images that compose the ranklist for the first 5 queries: query.txt, ranklist.txt `evaluate.py -r -s 5 -n 10` -**EXAMPLE 1.10**: Display mAP. It is advisable to use high n to obtain an accurate results. +**EXAMPLE 1.10**: Display mAP. It is advisable to use high n to obtain an accurate result `evaluate.py -A -n 5000` |