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| author | nunzip <np.scarh@gmail.com> | 2018-12-13 16:53:43 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2018-12-13 16:53:43 +0000 |
| commit | 0a71765565b2c00f3b1c8ace9caef60b55d1d828 (patch) | |
| tree | 76c04be6d05d1c4105d1bf9098aaf984cc222c2f /README.md | |
| parent | 8878026c2423902296e269f7a6fe918bcaafcf3e (diff) | |
| download | vz215_np1915-0a71765565b2c00f3b1c8ace9caef60b55d1d828.tar.gz vz215_np1915-0a71765565b2c00f3b1c8ace9caef60b55d1d828.tar.bz2 vz215_np1915-0a71765565b2c00f3b1c8ace9caef60b55d1d828.zip | |
Add standardisation
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 6 |
1 files changed, 5 insertions, 1 deletions
@@ -1,7 +1,7 @@ ``` usage: evaluate.py [-h] [-t] [-c] [-k] [-m] [-e] [-r] [-a RERANKA] [-b RERANKB] [-l RERANKL] [-n NEIGHBORS] [-v] [-s SHOWRANK] - [-1] [-M MULTRANK] [-C] [--data DATA] [-K KMEAN] [-A] + [-1] [-2] [-M MULTRANK] [-C] [--data DATA] [-K KMEAN] [-A] [-P PCA] optional arguments: @@ -26,6 +26,7 @@ optional arguments: Save ranklist pics id in a txt file for first SHOWRANK queries -1, --normalise Normalise features + -2, --standardise Standardise features -M MULTRANK, --multrank MULTRANK Run for different ranklist sizes equal to MULTRANK -C, --comparison Compare baseline and improved metric @@ -59,6 +60,9 @@ EXAMPLES for `evaluate.py`: EXAMPLE 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 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 8: 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` |