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| author | nunzip <np.scarh@gmail.com> | 2018-12-12 17:54:59 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2018-12-12 17:54:59 +0000 |
| commit | 0ba63cb5cccadbf94cbf030882666abcf2a0be71 (patch) | |
| tree | dab502b84fc234a0835e0cf766c27b125b0b253e /README.md | |
| parent | 32f7e62a151d45704b800419bbbe06955abbdf64 (diff) | |
| download | vz215_np1915-0ba63cb5cccadbf94cbf030882666abcf2a0be71.tar.gz vz215_np1915-0ba63cb5cccadbf94cbf030882666abcf2a0be71.tar.bz2 vz215_np1915-0ba63cb5cccadbf94cbf030882666abcf2a0be71.zip | |
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+usage: evaluate.py [-h] [-t] [-c] [-k] [-m] [-e] [-r] [-p RERANKA]
+ [-q RERANKB] [-l RERANKL] [-n NEIGHBORS] [-v] [-s SHOWRANK]
+ [-1] [-M MULTRANK] [-C COMPARISON] [--data DATA] [-K KMEAN]
+ [-P] [-2 PCA]
+
+optional arguments:
+ -h, --help show this help message and exit
+ -t, --train Use train data instead of query and gallery
+ -c, --conf_mat Show visual confusion matrix
+ -k, --kmean_alt Perform clustering with generalized labels(not actual
+ kmean)
+ -m, --mahalanobis Perform Mahalanobis Distance metric
+ -e, --euclidean Use standard euclidean distance
+ -r, --rerank Use k-reciprocal rernaking
+ -p RERANKA, --reranka RERANKA
+ Parameter k1 for rerank -p '$k1val' -ARGUMENT
+ REQUIRED, default=9-
+ -q RERANKB, --rerankb RERANKB
+ Parameter k2 for rerank -q '$k2val' -ARGUMENT
+ REQUIRED, default=3-
+ -l RERANKL, --rerankl RERANKL
+ Coefficient to combine distances(lambda) -l
+ '$lambdaval' -ARGUMENT REQUIRED, default=0.3-
+ -n NEIGHBORS, --neighbors NEIGHBORS
+ Use customized ranklist size -n 'size' -ARGUMENT
+ REQUIRED, default=1-
+ -v, --verbose Use verbose output
+ -s SHOWRANK, --showrank SHOWRANK
+ Save ranklist pics id in a txt file. Number of
+ ranklists saved specified as -s '$number' -ARGUMENT
+ REQUIRED, default=0-
+ -1, --normalise Normalise features
+ -M MULTRANK, --multrank MULTRANK
+ Run for different ranklist sizes equal to M -ARGUMENT
+ REQUIRED, default=1-
+ -C COMPARISON, --comparison COMPARISON
+ Set to 2 to obtain a comparison of baseline and
+ improved metric -ARGUMENT REQUIRED, default=1-
+ --data DATA You can either put the data in a folder called 'data',
+ or specify the location with --data 'path' -ARGUMENT
+ REQUIRED, default='data'-
+ -K KMEAN, --kmean KMEAN
+ Perform Kmean clustering of size specified through -K
+ '$size' -ARGUMENT REQUIRED, default=0-
+ -P, --mAP Display Mean Average Precision for ranklist of size -n
+ '$size'
+ -2 PCA, --PCA PCA Use PCA with -2 '$n_components' -ARGUMENT REQUIRED,
+ default=0-
+```
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