From 0a71765565b2c00f3b1c8ace9caef60b55d1d828 Mon Sep 17 00:00:00 2001 From: nunzip Date: Thu, 13 Dec 2018 16:53:43 +0000 Subject: Add standardisation --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) (limited to 'README.md') diff --git a/README.md b/README.md index 2aa6aaa..e89f6db 100644 --- a/README.md +++ b/README.md @@ -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` -- cgit v1.2.3-54-g00ecf